Tag Archives: Artificial Intelligence

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.

screenshot-2017-01-17-16-00-30

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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.

screenshot-2017-01-11-19-29-54

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.

c-suite-blackfin360

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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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