Headliner Keynote – Industry 4.0

I recently had the opportunity to provide the opening keynote for the University of Alabama EMBA Alumni Network Summit discussing trends tied to Industry 4.0. This is the latest version of the InnovationToReality talk series covering all facets of consumer behavior and emerging technology.

It was a fun and highly interactive keynote session! We discussed how Star Wars, Fortnite, Pixar Movies, & The Matrix highlight how emerging technology and consumer behavior will shift in the near future. We talked about how the 5 levels of autonomy and the new 4P’s will impact industry 4.0. Finally the role and importance of 5G in the transition towards ubiquitous simulation.

Here is a link to download the full presentation.

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Print Innovation Exchange Headliner Keynote

I recently had the opportunity to headline the 2019 Print Innovation Exchange in Minneapolis, MN. It was a fun and highly interactive keynote session! We discussed how Star Wars, Fortnite, Pixar Movies & The Matrix highlight how emerging technology & and behavior will shift in the near future and how the 5 levels of autonomy and the new 4P’s will impact the print industry. 

The full Evolution of Experience Keynote is available below.

Thank you and please follow @BlackFin360 across social platforms for various updates and a little bit of fun.

Tom Edwards Evolution of Experience 2019

From Star Wars, Fortnite, Pixar Movies & The Matrix, Tom Edwards illustrates how pop-culture shows a path for how technology evolves through the filters of Empower, Exponential & Enhanced.

Empower (Timestamp – 5:05) is about the expectation of control and this journey explores Star Wars, Fortnite, Gen Z, the lens as life, how the future is private and the camera is a bridge to intelligence.

Exponential (Timestamp – 15:30) is about intelligent systems that deliver ease & convenience. This journey focuses on the Pixar theory, AI, virtual assistants, the 5 levels of autonomy and the proxy web.

Enhanced (Timestamp – 28:18) is about digital & physical reality and the path to simulation. Here we review all facets of perception, presence, computer vision, digital twins and ultimately synthetic reality while celebrating the 20 year anniversary of the Matrix.

All of this leads to a reimagining of the 4 P’s of product, price, place, promotion to the new 4P’s of Plan, Predictive, Proxy & Pervasive. Finally, we will discuss the actual date when we will see multi-modal interfaces at scale. Follow Tom @BlackFin360 on Twitter & Instagram and subscribe via YouTube.

Carnegie Dartlet Keynote

What a great week! From the OnCon Icon Awards to delivering a keynote during the 2019 Carnegie Dartlet Conference, it was a great week in Orlando!

What was great about #CarnegieConf, besides the fact that it was hosted at Walt Disney World, was the amazing audience of higher education professionals. They were highly engaged both during the talk and via social.

The talk centered around how technology will adapt to us vs. us adapting to it. From the role the camera will play as a bridge to intelligence, why the Pixar Theory explains AI adoption, and how spatial computing combined with virtual assistant proxies will change our view of reality.

Time to leave Disney but can’t wait to be back!

Book Tom for an event here.

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19 Trends for 2019

As technology seamlessly integrates into our lives we will continue to move towards a time when our technology adapts to us vs. us inputting into the technology.

2019 will accelerate the convergence of experiences. The shift from desktop and mobile to voice, vision and touch fueled by intelligent systems will be a key focus for the coming year.

We will see the role of voice-based assistants evolve towards predictive proxies, advancing hardware will unlock spatial computing (AR/VR/Mixed/Hyper Reality) and rapidly evolving iterations of artificial intelligence will transform the camera and how we interact with the world around us. 

We hope you enjoy our 2019 trend predictions. We filter the coming convergence through the framework of Empower, Exponential, and Enhanced

The 2019 Trend analysis from my team and I live at http://theinnovationlounge.com.

EMPOWER – Technology that empowers consumers

EXPONENTIAL – Technology fueling intelligence and autonomous systems.

ENHANCED – Technology that is blurring the lines between physical & digital

BEYOND – Tech that is on the horizon for consideration

Each not only discusses the technology, but also the short and long term implications for marketers to consider.

EMPOWER IMPLICATIONS

EXPONENTIAL IMPLICATIONS

ENHANCED IMPLICATIONS

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Turning AI into ROI Keynote

I recently had the privilege to deliver a keynote to the Discover card Pulse network advisory team covering the topic of converting AI into ROI.

For this event, I tailored the Evolution of Experience, E^3 talk tied to Empower, Exponential and Enhanced with a detailed look at multiple facets of artificial intelligence including how the Pixar Theory, all movies are on the same timeline, foreshadows the path for how consumers will adopt AI fueled technology.

Next, we reviewed AI’s potential impact on business results and consumer behavior. The talk also covered the rapid convergence of multimodal technology experiences and the role AI will play in shifting behavior towards the intelligent camera via computer vision and virtual assistants.

The talk ended with a deep dive into the new AI driven 4 P’s of AI marketing and key points to consider to start to prepare for integration of AI into all facets of business.

For more on this topic I recently joined the AI Today Podcast and discussed a number of these topics and more.

AI TODAY PODCAST – Episode 50 – Enhancing Experiences with AI Interview

0:48 – Introduction
1:33 – Recap of Keynote topic at Amazon Alexa Voice Summit
2:53 – Discuss why we are in the “golden age of AI”
4:20 – Discuss The Pixar Theory and Artificial Intelligence
7:00 – Why predictive experiences are key for mass adoption of AI
9:00 – Discuss Gen Z & expectations of experiences
9:37 – How Epsilon Agency is using artificial intelligence
13:25 – What is the future of artificial intelligence?

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Tom Edwards Amazon Alexa Voice Summit Keynote & Interview

I recently had the privilege to deliver the Evolution of Experience keynote during the 2018 Amazon Alexa Voice Summit in Newark, NJ.

For this event, I tailored the Evolution of Experience, E^3 talk tied to  EmpowerExponential and Enhanced to focus on the voice ecosystem,  the camera as a platform, multi-modal, and how artificial intelligence and the Pixar Theory is the key to understanding the proxy web.

During the event, I also had the opportunity to sit down with the Amazon Alexa Community Evangelist team during their live Twitch stream. We discussed the ever-evolving role of voice-based experiences, war stories, thoughts on finding voice talent, the importance of data, strategy & analytics to enhance longer-term skill engagement and much more.

Also, I have recorded a podcast with the AI Today team that will debut in early August diving deeper into these topics and more. Stay tuned!

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In The News: Ad Age AI & Brands

Recently, my commentary on data & AI was included in an Ad Age piece on the role of data, artificial intelligence & brands.

Here is a link to the full article.

Here is my full commentary based on Ad Age’s original question…

Ad Age: We’re seeing more agencies now offering services for AI solutions, but how do you see this shaking out? What will separate the ones who will succeed with the ones that do not?

TOM: Offering an AI service for clients is one thing, but the key is understand that data is the fuel for AI. Without a solid understanding and corpus of data as a starting point for AI driven experiences consumer facing experiences have the potential of falling flat.

The organizations and experiences that will succeed in the short term with AI will understand that the consumer facing experience should not try and solve every possible outcome for consumers.

We have conducted research on user expectations of AI and there is one fundamental truth for adoption of AI and consumer facing experience adoption across generations and that is ease & convenience. Whether it’s managing personal time, predicting financial needs, or order replenishment through AI. The key is to understand that AI solutions need to seamlessly make consumers lives easier.

What will truly separate AI solutions over time are the ones that have both structured & unstructured data at the core that is built to action against consumer needs, will design for multimodal experiences beyond mobile and desktop, and be prepared to fully guide consumer experiences via virtual assistant ecosystems as AI becomes a proxy for consumers over time.

The organizations that can market to both consumer and systems will win the day. It’s no longer just the consumer decision decision journey as system based marketing via AI is now here and will continue to take on more responsibility for consumers.

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Evanta CMO Summit Keynote

I recently had the privilege to deliver the Evolution of Experience keynote at the 2018 Evanta CMO Summit in Dallas, Texas.

For this event, I tailored the Evolution of Experience, E^3 talk tied to  EmpowerExponential and Enhanced to focus on the camera as a platform, artificial intelligence, multi-modal, the New 4 P’s of AI marketing and new themes introduced by the Apple WWDC 2018 that happened earlier in the day.

SXSW 2018 Artificial Intelligence Event

During SXSW 2018 I had the opportunity to discuss “How Artificial Intelligence is Transforming Marketing“.

The session was in partnership with Oculus360 & their CEO, John Dubois. John and I discussed our collaborations with machine learning applied to various categories, including eSports and how to align unstructured & structured data.

SXSW 2018

Here is a recorded webinar that we recorded February 28th, 2018 that we reprised during SXSW.

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Webinar: Using AI to Conquest New Markets

Looking forward to taking part in the upcoming webinar: Using AI to conquest new markets on February 28, 2018, at 12pm CST. Be sure to register today!

Today’s marketers have access to an incredible volume of consumer information, but most are simply not equipped to make sense of it all. With artificial intelligence (AI) and machine learning, we can quickly sift through all this varied, scattered input and identify invaluable, consistent consumer trends and actionable insights, something that would nearly impossible to accomplish manually.

Savvy marketers can use these insights to conquest new markets by understanding the audience affinities for various segments within their new market. Join the CEO of AI software company Oculus360, John Dubois, and Tom Edwards, Chief Digital & Innovation Officer of Epsilon’s agency business, in a dynamic discussion about how brands are using innovative machine learning technology to identify, target, and succeed in new markets. Ian Beacraft, Vice President, Digital Strategy at Epsilon will host and moderate the discussion about:

  • How to use AI/machine learning to identify opportunities for brand extension and expansion
  • How audience affinity models can be applied to identify the products and brands most closely aligned with different customer segments
  • A real-world example of these strategies in action

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WMD Podcast: Discussing the Future of AI

I recently had the opportunity to join Eric Hanes on his Words of Mass Disruption podcast. We discussed artificial intelligence for everyday conversation.

My goal was to help those who may not be familiar with artificial intelligence to develop a perspective on the topic. We talked about AI, Machine Learning, IOT and digital assistants.

Thanks in advance for listening! It was a fun conversation.

Words of Mass Disruption Podcast: EP 119 Tom Edwards on Artificial Intelligence & Machine Learning

WMD Podcast via iTunes

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Follow Eric Hanes @WordsDisruption

In The News: HuffPost & Adweek The Evolution of Experience

I had an opportunity to share my thoughts and predictions about the evolution of customer experience in 2018 with Advertising Week & the Huffington Post.

I outlined how technologies that empower consumers, intelligent systems will enhance experiences, and how the blurring of experience between digital and physical will continue to converge in 2018 leading to new forms of interaction.

I also discuss the potential disruption of mobile user experiences as well as the rise of system based marketing as we offload more of our daily tasks to virtual assistants.

Read the Full Article Here.

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Trends for 2018 and Beyond

It’s my favorite time of year. No, I am not talking about Santa & reindeer, I am talking about predictions!

Here is a full analysis of potential trends to consider heading into 2018 via a non-linear or choose your own adventure video format just click the image below.

This video starts with a brief intro, then you will have the option to select a specific section of interest or watch it straight through from beginning to end.

In 2017 I spoke a lot about the evolution of experience through the E^3 Innovation To Reality series.  2018 will bring us closer to a convergence of technology that empowers, intelligent systems that enhance, and the line between physical and digital reality will continue to blur.

EMPOWER – Highlighting everything from camera as a platform, virtual reality gets social, evolution of social messaging, physical experiences that enhance digital, immersive eSports, expansion of contextual commerce and more, this section dives into technology that empowers consumers.

ENHANCE – How AI & intelligent systems are accelerating the evolution of experience. From the democratization of AI, device based machine learning, blockchain put to use, visual discovery, voice + visual conversational experiences, and personalized audio.

ENVIRONMENT – How our world is shifting towards synthetic reality with the convergence of location, computer vision and mixed reality that will reshape how we interact with the physical world. This section includes pervasive robotics, biometric security, augmented art, mixing reality, connected intelligence, and brain controlled interfaces.

EXPERIENCE – This section highlights the convergence of empower, enhance and environment. With topics discussed such as Gen Z = enhance vs. create, system based marketing, mobile disruption, ambient computing, and synthetic reality.

Download the complete 2018 trends presentation. 

Follow The Epsilon Agency Innovation Team:

Tom Edwards @BlackFin360

Steve Harries @Steve_Harries22

Ian Beacraft @IanBcraft

Jeremy Olken @JeremyOlken

 

Podcast – Disruption Is the New Normal

I recently had the privilege to join the Up & Out with Connie podcast discussing how disruption is the new normal. Up & Out is featured on iHeartRadio, SirusXM and C-Suite Radio. You can listen here.

I discuss emerging technologies impact on consumer behavior and the acceleration of disruption and the role of the empowered consumer.

We also discuss the shift from content to contextual marketing and the role of data, specifically the data of culture & data of identity as well as the role of intelligent systems, augmented intelligence and artificial intelligence.

We end the discussion with how we interact with artificial intelligence, how I work with start-ups and then personal questions such as a favorite quote, how I started in technology, discussing failure that leads to success and more.

You can listen to the Podcast on C-Suite Radio here
You can download the episode via Apple
Listen via iHeartRadio

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68 Top Trends So Far in 2017

Over the past six months, my team and I have evaluated the top emerging technology trends that will fundamentally reshape how marketers will connect with consumers.

Here is a brief preview:

The full analysis includes 68 trends categorized by our trend framework of Empower, Enhance, Feel & Ambient Computing. This will replace our original framework of Connection, Cognition & Immersion.

Empower to create content, engage and connect through new interfaces and touchpoints.

Enhance your daily life activities and responsibilities through intelligent systems and proxy’s.

Feel emotional experiences like pleasure and excitement delivered through immersive computing.

Ambient computing is the alignment of all three behavioral drivers.

Download the 2017 Midyear Trend Deck Today!

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5 Midyear Trends to Watch in 2017

2017 has seen a rapid acceleration of technology trends. Of the 50+ trends observed from CES, MWC, SXSW, F8, Google I/O and more, here are the top 5 midyear trends that I am closely monitoring heading into 2018.

1) MOBILE FIRST TO AI FIRST

For the past few years, Facebook, Google and other industry heavy weights have proclaimed to be mobile first organizations. Now at the midpoint of 2017 we are seeing shifts from mobile first to AI first. Google recently announced their intent to redefine their core products around AI research, tools and applied AI.

Through 2017 Machine Learning (ML) and Artificial intelligence (AI) are rapidly transforming business, products and services. A primary fuel for ML/AI is data. Understanding how to create actionable data centric AI experiences is critical to drive growth in 2017 and beyond.

2) MULTIMODAL INTERFACES

Conversational experiences have been a primary topic of discussion in 2017. From bots to voice based experiences, to computer vision and object recognition, expanding solutions beyond mobile and desktop has been a major trend through the first part of the year.

The shift towards AI first means text and visual tied to mobile and desktop are not enough to evolve the future of interaction.  As 2017 continues to unfold, we will see more voice + paired visual experiences come to market where voice is driving a visual companion experience to further enhance Alexa Skills and Google Actions.

3) CAMERA AS A PLATFORM

As marketers begin to shift their attention from Millennials to Gen-Z, strategies in the first half of 2017 are shifting towards leveraging the camera as a platform.

From Snapchat’s ever evolving lenses to Facebook’s newly announced Frames & AR studios, major industry players are taking a core native behavior that is all about empowerment for the consumer and building new solutions that will integrate real-time data, location and object recognition to create new forms of effect based marketing.

4) RISE OF THE PROXY WEB

The first part of 2017 has shown the first major steps towards the rise of the proxy web. The proxy web is predicated on systems taking over core day-to-day human functions and becoming agents on our behalf. One of the big steps towards this in 2017 was the recent launch by Google of Google Lens.

Google Lens combines the power of Google Assistant and provides the ability to overlay computer vision, which will serve as the basis for contextual augmented reality that links to various services, from purchasing, to content, to predictive reservations based on traffic and other environmental factors. Voice has led the way in 2017, 2018 will be the year of computer vision powered experiences.

5) DEMOCRATIZATION OF IMMERSIVE COMPUTING (VR/AR)

One of the drawbacks to mass adoption of virtual reality has been tied to how isolating an experience can be with limited abilities to share “what’s happening” Both Google and Facebook realize that adoption is closely to accessibility and the ability to share experiences. 2017 has seen a major shift towards the driving the democratization of virtual reality.

The key to driving adoption at scale is to empower consumers, developers and other 3rd parties to create experiences. From empowering the creation of user generated 360 degree content to co-viewing, casting, capturing and sharing VR content. It’s important for brand marketers to pay attention to how consumers interact with these experiences and the rate at which they are creating their own virtual content.

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Google I/O 2017 Full Recap

This week I had the opportunity to attend the Google I/O conference in Mountain View, California. It was an incredibly compelling event as Google shifted their focus as a company from mobile first to AI first. This means that all products will be redefined and enhanced through various forms of AI.

This includes the Google Assistant, which was the star of the show. The deck goes into detail, but it’s incredibly important that we begin thinking about the role that the Google Assistant plays across home, smartphone, wearables, auto and soon AR. With the launch on the iPhone announced at the conference it gives Assistant 200 million voice enabled devices out of the gate.

What is also key to consider is the Google Assistant equivalent of an Alexa Skill, called an Action by Google. Actions can support transactions outside of Amazon as well as not requiring installation. Also, there is a very small number of actions that exist today, but a huge and rapidly growing ecosystem of devices that are Google Assistant enabled.

Here is the full trend recap and analysis:

Section one covers trends tied to connection & cognition:

  • Vision of Ubiquitous Computing
  • Multi-Modal Computing
  • Google Assistant (Actions, Auto, Computer Vision, Wear)
  • Android O
  • Progressive Web Apps
  • Structured Data & Search

Section two covers all facets of immersive computing:

  • Immersive Computing
  • Daydream (Virtual Reality)
  • Social VR
  • WebVR
  • Visual Positioning Services
  • Tango (Augmented Reality) 
  • WebAR

In addition to the attached recap, there is also a 4 minute “light recap” video:

For third party commentary, discussed the role of Google Lens & Computer Vision with AdExchanger here

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Facebook F8 Full Recap & Analysis

I look forward to Facebook’s F8 developer conference each year. It’s a great opportunity to see how Facebook is prioritizing and adjusting their 10 year road map based on shifting consumer behavior and new advancements in technology. 

What was fascinating about this years conference is the rate they are accelerating the convergence of technologies that connect us, immerse us into new virtual worlds and advancing innovation well beyond what we would expect from a company that identifies itself as social first.

Facebook wants to redefine how we think about reality and the not too distant future when all reality is augmented and virtual. The following provides analysis across the consumer centric filters of connection, cognition and immersion.

  • Connection – Trends that reimagine how we connect, enable and empower consumers
  • Cognition – Trends where machine based intelligence will disrupt and redefine data assets and how we work
  • Immersion – Trends that align technology and presence to evoke emotion, entertain and power commerce

Here are few examples of the 15 territories analyzed starting with:

The Camera as the First Augmented Reality Platform  – Facebook understands that in order to truly create scale the key is to empower consumers, developers and other 3rd parties to create experiences on their behalf.  Consumer empowerment is powerful and will accelerate adoption and ultimately influence consumer behavior towards a new normal.



The democratization of augmented reality (AR) powered by advancing artificial intelligence (AI), has the potential to redefine advertisers approaches to content marketing, making it less about content and more about enabling experiences through compelling and contextually relevant effects.

Frames & AR Studio – Two sets of tools comprise the new Camera Effects Platform. The Frames Studio allows for quick deployment and creation of effects that can enhance an image, video or even Facebook live stream. This platform allows artists, creators and brands to create frames that can be targeted using Facebook targeting abilities for distribution.

The AR Studio is where it’s possible to create light weight AR effects that can developed and enhanced with elements such as real-time data to build highly contextual AR experiences. This is where brand marketers have an opportunity to align data + experiences.

Gaming & eSports

Convergence of gaming & video has been a massive trend over the past 24 months. 2B people play games each month. The rise and consumption of game streams now consists of 665M people watching people play games.

On Facebook people watch, play & create. Facebook’s gaming video product supports eSports (14-31% of live gaming consumption), developers, gaming entertainers and social connection for consumers of game stream content. 

Gaming content is digitally native baked in real time interactivity. With gaming video the audience is more than a spectator. They participate in the experience via comments and getting involved in the gameplay.

Messenger 2.0 – 2016 was considered the year of the bot. Primarily fueled by Facebook’s Messenger beta which accelerated the development of a bot ecosystem to further enhance the Messenger experience.

In 2017, Facebook is positioning Messenger as Messenger 2.0 with a sharp focus on integration of other services via chat extensions giving 3rd party bots the ability to seamlessly connect other services such as Spotify or Apple Music.

Facebook is also keen on driving discovery among the 100,000 bots now on the platform via the new discover tab.

Data Design & Artificial Intelligence 

Facebook is focused on leveraging multiple facets of Artificial Intelligence to power their products and accelerate 3rd party ecosystems.

Computer vision, natural language processing, and algorithms drive content discovery and their newly launched AR experiences. AI is now a foundational element to Facebook’s go-to-market strategy.

Facebook’s ultimate goal is to develop intelligent systems that go beyond computer vision and truly understand the world. This will then converge with their vision of an AR driven future to create a unified experience.

The Rise of Proxy’s – In the very near future we as consumers will have intelligent systems serving the role of a proxy. Facebook is betting on M to first serve as a virtual assistant that will eventually become a predictive service that is the foundation for their virtual computing future.

M will integrate into multiple facets of a users life from sharing location to recommendations. In the near future M can become the connection between a recommendation and AR object recognition action.

Virtual Reality & Facebook Spaces – Facebook officially launched Spaces for Oculus. This was first teased at F8 last year and the experience has definitely advanced from the grainy avatars from a year ago.

Facebook took research and learnings from Oculus Rooms via the Samsung Gear and refined an experience that lets your virtual avatar interact with Facebook content and friends in a virtual environment.

From virtual selfies to watching 360 video. It’s very clear to see that Facebook is focused on creating a new for of social interaction via a virtual environment.

The Future – Facebook took the first major step in achieving their 10 year goal of fully immersive augmented reality by launching the camera as their first augmented reality platform.

On day 2 of the conference, they outlined in detail how they view  transparent glasses (deemed more socially appropriate) or some equivalent that is paired with a general artificial intelligence system to enhance our daily lives.

This includes improving memory, cognition, recognition and redefining how we interact with the physical world and collaborate with one another.

Here is the full recap consisting of all 15 territories analyzed plus implications for brand marketers to consider based on the trend identified. 

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SXSW Interactive 2017 Trend Recap

This past week, over 30,000 digitally centric professionals, including myself and Ian Beacraft, descended on Austin, Texas for SXSW Interactive 2017. Our focus was to meet with key strategic partners, gauge emerging trends, monitor product launches and most importantly create content and POVs.

Content included a comprehensive text based trend recap download, live streaming from the trade show floor as well as a full video recap.

Over the years SXSW was an ideal event to gauge and project consumer centric tech trends. From Twitter empowering consumers in 2007, Foursquare focusing on location in 2009, social proximity with Highlight in 2012 and live streaming via Meerkat in 2015.

2017 focused on the rise of intelligent systems from a content perspective and immersive experiences bridged physical to digital.

Marketing is quickly shifting from disruptive tech to acceleration through intelligent systems. It’s less about the latest app fad, and more about how quickly the combination of data, intelligent systems and smart environments are going to impact consumer behavior in the future.

The technology featured at SXSWi 2017 aligns with my view of the coming intelligence revolution. This revolution will be built on new data types that will simplify complex tasks, predict need states and usher in new forms of computing that will radically alter how we connect with both consumers and intelligent proxies.

The attached event recap highlights trends across our framework of Connection, Cognition, Immersion & Convergence which is building towards enabling the acceleration of the Intelligence Revolution.

Connection – Trends that reimagine how we connect, enable and empower consumers.

  •  How conversational experiences are evolving and the impact that voice based experiences will have on the web
  • How social proximity and personalization have been refined
  • How interactive video is evolving

Cognition – Trends where machine-based intelligence will disrupt and redefine data assets and how we work.

  • Understand the evolution of storytelling through AI and the importance of data design
  • How emotive robotics will serve as a bridge between general assistants of today to the intelligent and more human systems of tomorrow
  • Learn more about the friction between artificial intelligence and intelligence augmentation of humans
  • Learn about the pending intelligence revolution and the role that the Proxy Web will play

Immersion – Trends that align technology and presence to evoke emotion, entertain and power commerce

  • Understand the evolution of immersive and full sensory experiences. From new forms of user interfaces such as light to mixed reality and everything in-between

Here is the download for the SXSW 2017 Trend Recap and Full Recap Video.

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In The News: Campaign Live SXSW 2017

I was recently asked by Campaign Live about my thoughts, reactions and takeaways from SXSW Interactive 2017.

My commentary focused on the shift towards programming vs. experiences at this years event.

Additional Context to the Article Commentary:

2017 may be the year that programming both from an official and 3rd party standpoint was the focal point vs experiences. In previous years you would see major brand installations from the sponsors featuring a mix of products and technology. A lot of traditional SXSW powerhouses such as AT&T, Samsung and Chevy were noticeably absent. 

This year more experiences also featured content tracks. The feel was less amusement park and more like attending TED talks with live demonstrations thrown in. It was an odd feeling as the best word to describe SXSW Interactive this year was subdued. 

SXSW used to be the ideal event to gauge and project consumer behavior-centric tech trends. We saw consumer empowerment and amplification with the launch of Twitter in 2007. We saw the rise of location based engagement with Foursquare in 2009. We saw the rise of live streaming service Meerkat in 2015, and a slew of other disruptive tech over the years. But marketing is quickly shifting from disruptive tech to acceleration through intelligent systems. 

Now It’s less about the latest app fad, and more about how quickly the combination of data, intelligent systems and smart environments are going to fundamentally shift how we interact. This is where SXSW is at a cross-roads moving forward.

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LIVE: MWC 2017 Trend Recap

Here is a video recap shot live from the floor of Mobile World Congress 2017 in Barcelona.

The video outlines emerging technology and trends tied to Connection, Cognition and Immersion and touches on key territories such as:

  • Evolution of Conversational Experiences
  • Artificial intelligence and Advancements in Smart Assistants
  • New Types of Interfaces Beyond Mobile
  • The rise of 5G
  • Convergence of Artificial Intelligence and Virtual Reality

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7 Ways AI will Enhance Marketing

For the past 12 months, my Epsilon team and I have focused on multiple facets of artificial intelligence (AI) with data as the primary fuel that powers key insights. We have leveraged machine learning, natural language processing, predictive APIs, and neural networks to uncover consumer truths that previously would have taken weeks or months to uncover.Having the opportunity to work with comprehensive, boundless proprietary data assets is incredibly exciting. In addition to fueling strategy work, it also drives emotional connections with consumers, bonding them to brands in meaningful ways. It is the future of marketing.Now past the experimentation phase, I can say confidently that AI will be a key driver of technology growth over the next decade and will significantly impact consumer marketing. Initial predictions show the market for AI-driven products and services will jump from $36 billion in 2020 to $127 billion by 2025*. (*Source: BofA Merrill Lynch Global Research Estimates — 2017 the year ahead: artificial Intelligence; The rise of the machines.)Most AI we work with today is categorized as Artificial Narrow Intelligence (ANI). This means that the AI is extremely adept at executing specific tasks.

Right now, there are seven subsets of artificial intelligence, outlined below. Brand marketers can better uncover insights, connect with consumers, and redefine customer experiences using this innovative technology.

Machine learning (ML)

ML uses human coded computer algorithms based on mathematical models. Probability models then make assumptions and/or predictions about similar data sets.

Currently, machine learning can be leveraged as a service to accelerate sentiment analysis and domain-specific insights. It also serves as a foundational element for identifying consumer behavior based on occasions, perceptions, and attributes to construct themes and trends from unstructured data which represents the thoughts, behaviors, and preferences of consumers taken directly from their online activities.

In 2017 and beyond, I expect more third-party providers will offer ML as a cloud service brands and agencies can leverage to transform products and services into smart objects, able to predict needs and preferences.

Machine learning solutions have allowed my team to align our proprietary structured data assets with unstructured data to combine the best of both worlds. This began to accelerate our processing and analysis capabilities to uncover consumer truths within unstructured data to further fuel our agency’s strategic storytelling.

Cognitive computing

Cognitive computing builds on machine learning using large data sets.

The goal is to create automated IT systems that can solve problems without human intervention. Marketing centric cognitive computing solutions can consist of a single, all-encompassing solution, or be comprised of multiple services that build and scale applications over time.

From a marketing application perspective, cognitive computing-based solutions range from customer experience enhancing chatbots to closed loop systems for tracking media performance.

Bank of America recently launched the Erica bot using AI, cognitive messaging, and predictive analytics to further influence consumers’ ability to create better money habits.

Cognitive computing will be key to unlocking the potential of conversational experiences. As ecosystems continue to rise, many of the 30,000 chatbots on Facebook Messenger are powered by AI services.

Facebook’s own M virtual assistant housed within Messenger will soon come out of beta testing and will incorporate cognitive suggestions based on content of a conversation users are having. The goal is to make Messenger-based interactions more convenient, enabling users to access services without leaving the conversational thread within Messenger.

Speech recognition and natural language processing (NLP)

NLP refers to intelligent systems able to understand written and spoken language just like humans, along with reasoning and context, eventually producing speech and writing. NLP plays an essential role in the creation of conversational experiences.

Voice-based experiences, such as Alexa’s voice services (AVS), will become pervasive over the next few years. It is projected that by 2020, 30 percent of web browsing sessions will happen without a screen.* (*Source: Gartner analysts at Symposium/ITxpo 2016.)

The core of the AVS experience is a combination of automated speech recognition, natural language processing, and a cloud-based AI that comprise a voice-based user experience.

As with most artificial intelligence entities, learning new skills is how personalized and contextual experiences will be created. With Alexa, it is possible to “teach” new conversational elements and interactions through developing skills.

Here is an example from Domino’s pizza that allows consumers to order pizza directly through Alexa voice services.

Alexa skill development is one of the quickest ways for brands to connect with the rapidly growing audience that calls upon Alexa to empower their daily lives.

Fitbit is another brand leveraging Alexa-based skills to extend brand engagement. Traditionally Fitbit users depend on an app to visualize their data. With the Fitbit Alexa skill users can get a quick update on the stats that matter the most without the need of a screen.

Deep learning

Deep learning builds on machine learning using neural networks. Neural networks are statistical models directly inspired by, and partially modeled on, biological neural networks such as the human brain. The use of neural networks is what differentiates deep learning from cognitive computing.

Deep learning is currently redefining Google’s approach to search, and search engine optimization (SEO) will never be the same. Previously, Google search results were based on algorithms defined by a strict set of rules and SEO was based on regression models that looked at past behavior to adjust a given strategy.

With the introduction of RankBrain, Google’s machine learning technology, in 2016, search algorithms are now enhanced with artificial intelligence. Google is now processing roughly 15 percent of daily queries by mixing the core algorithms based on each search type.

The system is adept at analyzing words and phrases that make up a search query. It also decides what additional words and phrases carry similar meaning.

Expect the percentage of search queries handled by AI to significantly increase. Marketers will need to rethink site architecture, content, and the signals being sent via backlinks as the systems continue to learn on a query-by-query basis.

Predictive application programming interfaces (APIs)

A predictive API uses AI to provide access to predictive models, or expose access to an ability to learn and create new models.

Fortune 500 company USAA is analyzing thousands of factors to match broad patterns of customer behavior through its intelligent virtual assistant Nina.

As we shift from consumers using technology to technology enhancing consumers, predictive APIs will play a key role in providing recommendations, enhancing customer service, and providing real-time analytics without in-house data scientists. This is key to unlocking new forms of value exchanges with consumers in a hyperconnected world.

Image and object recognition

Image recognition finds patterns in visually represented data, pictures, and objects. Facebook and Google are two organizations focused on AI research and solutions in this area.

As image recognition is extended into video and live broadcasts, it will redefine contextual relevance, categorization, and automation of content distribution.

Combined with the advancement of cameras, image recognition and machine learning are transforming the way we process data, including much more than just attitudes and behaviors.

Brand marketers can now leverage images, facial expressions, body gestures, and data collected from IOT-enabled devices to understand the triggers behind behavior and build experiences that anticipate their customer’s needs. This requires brand marketers to transform their data strategy to expand beyond first- and third-party data to also incorporate unstructured datasets that capture affect and unconscious data inputs.

Snap’s pending patent on object recognition is potentially game changing. A recent patent application shows its desire to built object recognition into snaps that can enhance recommended and sponsored filters most likely powered by an AI-based system. This showcases how any object can be aligned with creating immediate context with a consumer and brand.

Olay launched an AI-powered Skin Advisor that ingested user generated photos and provided recommendations for suitable products.

Dynamic experience generation

AI-based systems not only have the ability to parse through large data sets and offer predictive solutions, but also can drive the creation of dynamic experiences. AI will become a powerful tool for creating vs. analysis.

Many startups are leveraing AI APIs to create intelligent solutions. The Grid (https://thegrid.io) is leveraging AI to automate web design with Molly. Molly analyzes design decisions and creates new web experiences.

Eventually, AI will be a key driver of creating augmented reality experiences. Dynamic experience generation through AI will recreate physics, recognizing gestures and movements that can generate new consumer experiences.

Below, Mark Zuckerberg discusses the future of AR/VR at Facebook’s F8 conference.

The various subsets of artificial intelligence will continue to be interconnected, redefining how we approach connecting with consumers. AI makes it possible to know the consumer better than ever before. If approached correctly, with the right mix of AI subsets leveraged, companies will see their business grow.

This is a repost of my recent iMedia cover story.

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In The News: iMedia 7 Ways AI Enhances Marketing Cover Story

This morning my new article 7 ways artificial intelligence will enhance marketing was the cover story for iMedia Connection.

The article reviews seven subsets of artificial intelligence from machine learning, cognitive computing, natural language processing, deep learning, predictive API’s, object recognition and dynamic content generation and how brand marketers can better uncover insights, connect with consumers, and redefine customer experiences using this innovative technology.

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CES 2017 Trend Recap

2017 is off to a fast start with CES 2017 as the first major tech expo of the year. Epsilon’s agency is uniquely positioned to drive growth through data driven creative and the intersection of emerging technology & consumer behavior. From a strategy & innovation lens it starts at CES.

Prior to the start of the new year we published our 2017 trend framework this document sets the foundation for how we identify macro trend territories that have the highest probability of creating new behaviors and empower consumers through the lens of Connection, Cognition & Immersion in the near future.

CES 2017 was our first opportunity to further validate the territories but more importantly identify some of the key tech trends that will have a major impact on marketing over the next few years. In the attached document you will find an in-depth review of key trends such as the impact a connected product ecosystem and how Alexa Voice Services are quickly positioning to scale quickly through 3rd party integrations. You will also find examples of new types of interfaces and input devices that may further lead to an ambient computing future.

 

2017 is also the turning point from “everything will be connected” to everything will be cognified”. The impact of artificial intelligence will be a big topic in 2017 and Epsilon is uniquely positioned to capitalize (look for more on this topic on January 19th via an industry AI op-ed). CES validated the idea of pervasive cognition as well as advancements via contextual assistants and object recognition.

 

The rapidly developing immersion ecosystem built on full sensory immersion, spatial freedom and alternative interfaces also caught our attention.

 

Here is the full recap deck:

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In The News: Entrepreneur.com & AI

I recently sat down with Jeffrey Hayzlett of C-suite TV for the first episode of season 7 for Executive Perspectives live.

He recently wrote a piece for Entrepreneur.com outlining 5 business trends that will take off in 2017. Jeffrey referenced our conversation regarding automation of conversational experiences through artificial intelligence.

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The infusion of voice-based technology into consumer products, and the ways in which brands are shifting from social media to social messaging strategies were the subject I addressed with Epsilon Chief Digital Officer Tom Edwards, during a recent interview. Edwards told me how “disruption is the new normal” and how chatbots are the next thing chief marketing officers will have to deal with as technologies keep evolving.

For more insight from the discussion here is a link to the full interview.

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In The News: Marketing Dive & 2017 Trends

I was recently asked by Marketing Dive about how digital marketing will evolve in 2017.

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One of the key territories I discussed for this piece was the role artificial intelligence, machine learning and cognitive experiences will play in the near future.

From leveraging machine learning to accelerate sentiment analysis and domain-specific insights to cognitive computing solutions that automate experiences without human intervention to the rise of voice-based user experiences that will continue to expand in 2017 to deep learning that will fundamentally change how brands approach SEO to predictive API’s that will expose access to predictive models to further create seamless experiences for consumers, cognitive and intelligent systems will play a key role in how we approach marketing in 2017,” said Tom Edwards, Chief Digital Officer at the agency within Epsilon.

When asked about social media marketing in 2017:

Marketers will need to shift their strategy from one of personification of the brand to a seamless experience that is about simplifying and predicting needs while also empowering consumers to create their own stories,” said Epsilon’s Edwards.

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C-Suite TV Discussion – Disruption, UX, The Future

This week I had the pleasure of joining the C-Suite TV team at their San Francisco event and was interviewed by Jeffrey Hayzlett. It was a fun discussion as he asked me about the shift from social media to social messaging, strategies to make the shift, voice based experiences, disruption, galactic cannibalism, trends and the future of connecting with consumers.

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Below is a recap of my key talking points for each question.

(C-Suite TV – JH) As we’re on the verge of a transformational moment in marketing with the shift from social media to social messaging, how are marketers making this shift?

(Tom Edwards – TE) Over the past 5-10 years we as marketers have focused primarily on the open web + social media. Earlier this year social messaging passed social media in terms of monthly active users. Consumers are ready for conversational experiences. Part of the reason for the appeal is that it is seen as safe, comfortable and intimate.

I spent most of this year researching, writing and educating our brand partners about what this shift can mean for their business. We conducted proprietary research on what consumers want from conversational experiences that led to an ebook on the topic.

Social Shift Toward Messaging

As we dug into consumer expectations around conversational experiences, our research found that they want experiences that are convenient and support local experiences, there is openness to pay within social messaging and an expectation that it will connect physical and digital elements such as in store coupons and discounts, there is also a willingness to interact with intelligent systems.  Research also shows that 60% of millennials would prefer talking to a chatbot vs. talking to a human when it comes to resolving questions about online shopping.

From a marketing perspective there has been a significant amount of experimentation trying to create the ideal experience. With Apple, Facebook, LINE, Kik, Skype and more providing tools and services that will allow others through 3d party SDKs & API’s to create an ecosystem. Their hope is to become the central portal in order to empower consumers and drive commerce. Facebook doesn’t own the hardware or the operating system, so they are invested in keeping people in the messenger experience.

Some experiences are trying to further personify the brand, others are about creating utility or a sense of intimacy with the brand. The goal is to create a real-time experience that is centralized in one conversational thread.

The key will be creating experiences that are not disruptive but are actually attentive to the current and future needs of the consumer. The ideal experiences will be built around the premise of simplification + prediction. It’s not about a deeper personal connection like a friend, but to be able to anticipate, predict and enhance a consumers experience.

This is where we see the idea of CONNECTION + COGNITION coming together.

(JH) What processes and strategies do you need in place to make this shift effective?

(TE) I recommend an approach that is based on five core factors of Simplification, Data Design, Prediction, Ambient Design & Physical to Digital.

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1 – (SIMPLIFICATION) The key is to reduce complexity in consumers lives and create experiences that are ownable by the brand’s domain. Mine customer data for most commonly asked questions and expand from there with use cases focused on enhancing and simplifying experiences.

2 – (DATA DESIGN) Have a strategy not just to capture data but how to use it. Define the role of unstructured data in refining the experience. Consider what new data points are being integrated to inform future prediction. How are you making the data actionable? On my team we now have a data design team that sits between traditional brand planning + digital strategy. This is the intersection of Big Data + Design Thinking. They own the tools, assets and data sources and understand how to craft a data driven narrative.

3 – (PREDICTION) Anticipate consumer needs is key for the future of conversational experiences. Messenger experiences are not designed to be like Google search, at least not yet. Google is working towards the ideal intersection between search & retrieval vs. predictive. But again a combination of data, predictive analytics built on working data is the entry point towards truly predictive experiences. (cognitive will accelerate this)

4 – (AMBIENT DESIGN) The future of computing is tied to ambient experiences, or how your environment interacts with you. It is critical to approach designing conversational and voice based UX differently.

5 – (PHYSICAL TO DIGITAL) One of the other elements is the rise of conversational commerce. There is a concerted effort to closely align physical & digital shopping experiences as a means to enhance the customer experience. Our research shows there is an expectation from consumers to have local experiences connect to digital through conversational experiences.

(JH) Let’s talk about some newer technologies, how does voice based technology play into this shift to a conversational user experience?

(TE) I am a strong believer in the fact that voice based experiences and artificial intelligence systems will become pervasive in our everyday lives. The core of the experience is a combination of automated speech recognition, natural language processing and a cloud based AI that comprise a voice based user experience.

I am very intrigued by the possibility of the ability to create context through voice services such as Amazon Alexa Voice Services & the recently launched Google Home. Voice based experiences will play a key role during this time as our interactions with connected systems and the rise of micro services as a primary mechanism to navigate a hyper connected world will become the new normal.

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I strongly believe that we will begin to see a convergence over the next few years where elements that enable connection such as social messaging and voice based conversational user experiences combined with cognitive computing (AI) and immersive experiences such as holographic computing will become interconnected and will redefine how we approach connecting with consumers.

We will begin to see services such as Alexa Voice Services quickly proliferate throughout 3rd party devices from in home IOT systems to connected vehicles and “skills” will become a key component for how we navigate beyond screens. Estimates already show over 28 billion connected devices by 2019.

(JH) We hear you say that “disruption is the new normal” what do you mean by that?

(TE) Digital disruption has been at the center of major consumer shifts over the past 10 years. Disruption is now the new normal. The Premise is change is constant and experimentation is critical and how you integrate trends into your existing business is key.

The acceleration of technology has led to the rapid empowerment of the consumer. What organizations have to consider is that with each iteration of technology and consumer empowerment new types of interactions will lead to the need to rethink the business models of today.

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This has a significant impact on the C-suite as the pressure on CMO’s to be creative thinkers, intelligent around data, domains and disciplines as well as mitigation of risk, pressure to innovate, find and retain talent and try to be as agile as possible. Combined with the pace of new interaction models there is a lack of strategy to deal with the shifts in a meaningful way as the focus is on short term stability.

This is why it’s important to build a plan with a foundational approach to data and understand what domains the brand can own and where in the new interaction types there are opportunities to redefine business models. This is why I have chosen Connection, Cognition and Immersion as the pillars of how brands can map to the new interaction types of the near future.

(JH) I heard you say we’re on the verge of galactic cannibalism can you explain what this means for marketers and how can marketers stay ahead of the game?

(TE) I have spoken a lot recently about how disruption is the new normal. I recently heard someone compare the last five years as a “supernova” of disruption in terms of the intensity and velocity of change.

With the rise of artificial intelligence, conversational & ambient experiences, connected systems and mixed reality on the horizon we are moving well beyond a supernova and are now on the verge of galactic cannibalism.

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Galactic cannibalism is when one galaxy collides with another and there is a subsequent absorption of parts of one into the other. From a consumer marketing standpoint how we consume and interact via digital channels is about to be absorbed and redefined through new advancements in connection, cognition & immersion.

The key point to surviving and thriving is to have a comprehensive data strategy as data assets will serve as the fuel of this shift. Regardless of which galaxies collide a thorough understanding of data, content, experiences and outcomes is a marketing foundation for the future.

Also, it is important to understand how data will evolve. Currently the focus is on 1st part & 3rd party data. But in the emerging world think of the data created by connected systems as well as new forms of real time sentiment data, such as your eyes in a VR experience or facial recognition in a retail setting. These will require a comprehensive data design effort to craft content, experiences and drive outcomes as a marketing foundation for the future.

Ultimately we will have to acknowledge that the relationship between consumers and technology will fundamentally change from consumers operating technology to technology operating for consumers through data.

(JH) How do you apply the trends of today to the business models of the future?

(TE) The first step is to be aware of what is happening. Analysts such as Gartner and Forrester are evaluating and publishing their rankings of where technology is going. One of my favorites is the Gartner Hype Cycle.

One of my responsibilities with Epsilon is I lead the innovation practice for the agency business. We have designed an approach that is consumer centric, data driven, iterative and allows our brand partners to scale emerging technologies and integrate trends into tangible solutions that drive business outcomes. The practice is comprised of four distinct elements that span research, workshops, experimentation and transformation.

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Regarding research & trends, we leverage Epsilon’s proprietary data and analytics, first and third party research, emerging companies and established partner networks to research, curate and educate on the latest trends and how it can apply to our clients business.

Our approach is as follows:

Our team identifies a new tech/emerging tech…

1. Track Product/Technology Announcement

2. Measure Velocity of coverage & discussion

3. Conduct Initial analysis & POV outlining potential value/impact

4. Explore outcome impacts & role of tech in consumer journey

5. Map vertical specific use cases

6. Educate internal teams & external clients

7. Identify early vendor partners and alpha/beta opportunities

8. Conduct Project based experiments

9. Capture & package project based success

10. Build business value case for horizon consideration

Once you have identified your trends its helpful to begin to filter across key macro trend territories, in this case I am exploring trends that reach across

Connection, Cognition & Immersion

(JH) What’s really resonating with consumers right now? What should marketers be paying attention too?

(TE) Anonymous personalization through dynamic content, targeted video content, Personalized, connecting the consumer experience across digital to physical & 1:1 messaging that is authentic, provides value and is contextually relevant is key.

Human attention is now a scarce commodity. Attention is a resource – and we only have so much to give. The key to experience design is built around data, content & channels or experiences.

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I like to start with data, it can be 1st party or secondary data sources, but I look for attitudinal, behavioral in addition to standard demographic. Transactional data can also be a key element and consistency of message is key.

(JH) What is the future of connecting with consumers?

(TE) I strongly believe that we will begin to see a convergence over the next few years where elements that enable connection such as social messaging and voice based conversational user experiences combined with cognitive computing (AI) and immersive experiences such as holographic computing will become interconnected and will redefine how we approach connecting with consumers.

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The key will be to create data designed experiences that empower consumers.

Here is a link to the full video interview kicking off season 7.

c-suite-blackfin360

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Galactic Cannibalism & The Future of Marketing

I have spoken a lot recently about how disruption is the new normal. I recently heard someone compare the last five years as a “supernova” of disruption in terms of the intensity and velocity of change. 

With the rise of artificial intelligence, conversational & ambient experiences, connected systems and mixed reality on the horizon we are moving well beyond a supernova and are now on the verge of galactic cannibalism.

gc2

Galactic cannibalism is when one galaxy collides with another and there is a subsequent absorption of parts of one into the other. From a consumer marketing standpoint how we consume and interact via digital channels is about to be absorbed and redefined through new advancements in connection, cognition & immersion.

The key point to surviving and thriving is to have a comprehensive data strategy as data assets will serve as the fuel of this shift. Regardless of which galaxies collide a thorough understanding of data, content, experiences and outcomes is a marketing foundation for the future.

Follow Tom Edwards @BlackFin360

IIeX 2016 Machine Learning + AI = Data Driven Creative

Yesterday I had the privilege to speak at the Insight Innovation eXchange or IIeX North America 2016 discussing our approach to getting data driven creative via Machine Learning and artificial intelligence.

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This presentation was a joint effort between my Epsilon team and one of our strategic partners Oculus360. I work closely with Raju Kattumenu, the founder of Oculus360 and we have engaged on numerous initiatives over the past year.

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This has allowed us to leverage the power and reach across public domains leveraging their technology combined with our proprietary data assets to validate consumer truths or find new connections based on occasions, attributes, perception & demand signals.

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The technology is a combination of natural language processing, an artificial intelligence neural network and machine learning systems that combine to unlock various themes & trends associated with demand signals created by consumers.

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The key to this approach is that instead of starting macro across all facets of the web or social conversation, this approach looks at specific domains and can go incredibly deep down to the product sku level.

We then take the results from this approach and combine it with our connection planning process and data assets to unlock consumer truths that will define our approach to creative and strategic territories. It truly is an approach where data fuels creativity.

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This approach of combining machine learning + AI with Epsilon’s data assets allows us to truly identify contextual moments to create personalized experiences.

Context is key as this informs whether we should use storytelling vs. storymaking moments. We then align moments with personalized elements of the story based on our data findings and use cross device identity to create personalized story delivery at scale.

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I also discussed how we have realigned our approach to planning with data science to inform creative territories & strategic themes as well as how this approach supports innovation initiatives by informing and validating consumer readiness when it comes to emerging storytelling mediums.

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We then showed an example based on the mini-van category. Traditionally mini-van advertising has stayed very close to the “family” approach to connecting.

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We wanted to either validate the approach or find new consumer truths based on all the factors outlined above. What we found was very interesting as key attributes and occasions began to surface that outlined new demand signals that could be used to shift perception.

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This also allows us to take a look across brands and see which brands align with specific occasions which can lead to differentiation among competitors.

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We can also look at specific features associated with each of the brands to identify new territories or areas to focus on driving awareness, engagement or advocacy.

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In order to maximize contextual connections with consumers it is important to not only have qualitative data tied to consumer insights. It is also critical to leverage the power of machine learning and artificial intelligence combined with strong data assets to unlock demand signals that can fuel the creative process.

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MMS Upfront @ Internet Week 2016

This week I had the opportunity to speak at the Modern Marketing Summit Upfront @ Internet Week 2016 discussing the topic of the transformation of storytelling. Below is a recap of my key talking points.

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The discussion covered 4 territories tied to how storytelling is being transformed.

1) How do you define storytelling from your company’s perspective? What is a story? 

I’d define Epsilon’s approach to storytelling as finding a compelling difference through data that leads to a consumer truth then completing a narrative around that truth. The truth/data will often reveal the correct medium by telling who, what, where and when of the audience. We then use traditional tools of persuasion formatted by channel to reach the audience.

For us a story can be any type of format that creates a connection with a consumer. This can come through brand created, co-created or user created content. We further delineate storytelling and storymaking by working with our brand partners to make them the catalyst for the stories consumers are making for themselves.

2) How does the context of where and when the story is being told affect the way you choose to tell it? 

Context is key as this informs whether we should use storytelling vs. storymaking moments. We then align moments with personalized elements of the story based on our data findings and use cross device identity to create personalized story delivery at scale.

We partner with a major sports speciality retailer to generate and optimize 1 million versions of the brand story that aligns with key contextual moments.

This is approach is based on transactional and online click stream data and that in turn continues to drive actionable insights across all of our initiatives to inform and optimize our creative process in near real time.

The key is consistency of message across various formats and having the ideal understanding of cross-device behaviors to deliver a message at the right time.

MMS Upfront

3) How do you coach your clients to think from the consumers perspective? What do you hope a good story will achieve for your client? 

We show them what consumers expect, how they perceive their brand and category and align strategy where there are opportunities to create new points of connection. This includes understanding when to leverage branded content vs. co-created vs. integrated vs. user created content to tell the story for the brand.

We focus a lot on consumer behaviors. This comes in the form of machine learning and artificial intelligence that looks at specific domains and mobile ethnography studies. We also leverage our proprietary assets that highlight key behavioral, transactional and affinity based data that allows us to demonstrate how we find unique ways to tell or make a story.

We not only show them what consumers expect, how they perceive their brand and category we focus on the potential outcomes tied to our storytelling and story making efforts.

Our goal is to start or change a conversation, create advocacy and ultimately drive purchase and business outcomes.

4) How important is data in informing your decisions about your storytelling methods? 

Data is the fuel of our creative process. It enhances the creative, it does not replace or stifle creativity.

We realigned our planning with data science to inform creative territories & strategic themes we then use this to map the story as well as deliver audiences all with an eye towards outcomes and building models that show the impact of our storytelling efforts

One of the other great assets is our ability to map to individuals across devices. This makes it easier to deliver highly personalized and dynamic creative. Mapping high level themes through to relevant micro-moments. This allows us to connect with consumers regardless of where they are in a heavily fragmented media landscape.

Data also informs consumer readiness when it comes to emerging storytelling mediums. Whether it’s the shift towards conversational user experiences to immersive experiences such as Virtual, Augmented and mixed reality. data is a foundational element to our approach to creativity and innovation.

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Facebook F8 2016 Trend Recap

I recently attended Facebook’s F8 developer conference in San Francisco and the event did not disappoint. Mark and the Facebook team outlined their approach to a ten year roadmap, launched the highly anticipated Messenger chat bot beta and showcased their first concepts of a social virtual reality experience.

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The presentation below covers:

•  The 10 year roadmap analysis

•  The Rise of Chat bots

•  Immersive Experiences & Social VR

The 10 year Roadmap

Facebook Roadmap

This was the 10 year roadmap presented at F8. It follows the lifecycle continuum approach outlined in the previous slide.

Facebook proper is the most mature and has a thriving 3rd party ecosystem as well as a sustainable monetization model.

Messenger has been identified as the next ecosystem with powerful tools that were released at F8 2016 to drive conversational commerce and a new approach to replacing apps..

VR, Connectivity and AI represent the near future for Facebook and Social VR will be a key area to watch. Developing strategies that capitalize on creating value today while experimenting for the future is key.

For analysis on Facebook’s 10 year roadmap including Facebook’s approach to product lifecycle, Facebook proper, the Live video API, approach to connectivity, artificial intelligence and Facebook’s investment in hardware and open platforms view slides 4-12 in the embedded slideshare.

The Rise of Chatbots

With 900M users and over 1 billion messages sent per month, Facebook felt that Messenger has progressed through their continuum approach to product lifecycle and now has hit the inflection point of scale to build out an ecosystem to solidify and sustain Messenger as the go to mobile application.

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The key is that Messenger will support one bot to many pages. This makes it easy to seamlessly connect brands or services in a portfolio to create compelling and unique experiences that are 1:1.

Since Facebook does not own the mobile hardware or the operating system, they are positioning Messenger threads as a replacement for native apps.

For in-depth analysis of chat bots including an overview, conversational commerce, the send & receive API, wit.ai, discovery within Messenger, promotion and conversational advertising  view pages 14-22 of the embedded slideshare.

In addition to this POV our Epsilon agency team wrote  a comprehensive eBook that launched when Facebook announced the Messenger Beta. The ebook covers the shift from social media to messaging and the role data, chat bots and conversational commerce will play for brands.

Social Shift Toward Messaging

Virtual & Augmented Reality

Facebook states that virtual reality is the next evolution of computing and is heavily invested in the hardware and experiences that will comprise aligning technology with presence.

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During F8 Facebook outlined a path forward for active VR experiences, demonstrated social VR concepts for the first time publicly and identified augmented reality as a viable disruptor for the first time as to date all the conversation has been about VR experiences.

Virtual Reality experiences are coming and the key will be empowering consumers to create their own immersive experiences. Facebook’s long term goal is to create completely virtual experiences that recreate the physical world. For now wave 1 will be avatar based.

For in-depth analysis of virtual reality including an overview of the role of the Gear VR in the ecosystem, Oculus Touch, the first public demo of Facebook’s Social VR concepts and the bets of the future review slides 23-29 of the embedded slideshare.

For more insights and analysis follow Tom Edwards @BlackFin360

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