REX Executive Roundtables IHRSA Keynote

I recently had the privilege to deliver the Evolution of Experience keynote for the REX Executive Roundtable group at the San Diego Zoo. This was a lead-up event to recent IHRSA 2018 conference.

For this event, I tailored the Evolution of Experience, E^3 talk tied to  EmpowerExponential and Enhance to bring examples relevant for the evolution of experience in the fitness industry.

Here is the full 45-minute keynote.

Empower is looking at how accessibility to mobile technology has led to consumers being empowered to create, amplify and influence across generations.

Exponential is all about acceleration through intelligent systems. This looks at the rise of virtual assistants and the ability to predict consumer needs and ultimately become a proxy for the individual that will forever alter the path to purchase.

Enhanced is all about the bridging of physical and digital and how immersive computing, AR, VR, computer vision will make the user’s camera intelligent and forever changing the retail experience.

The talk ends with an explanation of how we will evolve from a mobile-centric world to the new normal of voice, vision and touch experiences powered by AI including a date when it will all converge.

It was a great crowd and I really enjoyed the hour with such a highly engaged and interactive group.

If you are interested in having Tom speak at your event please contact here.

Tom Edwards Speaker Bio

Follow Tom @BlackFin360

Dr. Pepper Media Masters Keynote

I had the privilege of presenting to the Dr. Pepper Snapple Group marketing organization today via a Keynote format on the topics of data & the evolution of experience during their Media Masters event.

The first half of the hour-long talk explored how Epsilon Agency approaches data and data design. Highlighting our work with structured data, our view on the alignment of actioning of data through mapping attributes to dimensions and then highlighting multiple case studies tied to our unstructured data work and machine learning approach.


Then the presentation shifted into the full Evolution of Experience, E^3 talk tied to  EmpowerExponential and Enhance and discussed how we will evolve from us inputting into technology, to our environment adapting to us.

Dr. Pepper Media Masters

Empower is looking at how accessibility to mobile technology has led to consumers being empowered to create, amplify and influence across generations.

Exponential is all about acceleration through intelligent systems. This looks at the rise of virtual assistants and the ability to predict consumer needs and ultimately become a proxy for the individual that will forever alter the path to purchase.

Enhanced is all about the bridging of physical and digital and how immersive computing, AR, VR, computer vision will make the user’s camera intelligent and forever changing the retail experience.

The talk ends with an explanation of how we will evolve from a mobile-centric world to the new normal of voice, vision and touch experiences powered by AI including a date when it will all converge.

It was a great crowd and I really enjoyed the hour with such a highly engaged and interactive group.

If you are interested in having Tom speak at your event please contact here.

Tom Edwards Speaker Bio

Follow Tom @BlackFin360

Viva Fresh Expo Tom Edwards Keynote

I recently had the opportunity to deliver a version of the Evolution of Experience talk as a keynote during the Viva Fresh Expo in San Antonio, Texas.

The first half of the talk explored the rise of Amazon and it impacts on consumer behavior and retail experiences. Then the presentation shifted into the full Evolution of Experience through the E^3 Framework of  Empower, Exponential and Enhance and discussed how we will evolve from us inputting into technology, to our environment adapting to us.

VivaFresh Expo

Empower is looking at how accessibility to mobile technology has led to consumers being empowered to create, amplify and influence across generations.

Exponential is all about acceleration through intelligent systems. This looks at the rise of virtual assistants and the ability to predict consumer needs and ultimately become a proxy of the individual that will forever alter the path to purchase.

Enhanced is all about the bridging of physical and digital and how immersive computing, AR, VR, computer vision will make the user’s camera intelligent and forever changing the retail experience.

The talk ends with an explanation of how we will evolve from a mobile-centric world to the new normal of voice, vision and touch experiences powered by AI including a date when it will all converge.

It was a great crowd and I really enjoyed the hour with such a highly engaged and interactive group.

If you are interested in having Tom speak at your event please contact here.

Tom Edwards Speaker Bio

Follow Tom @BlackFin360

The Innovation Playoffs

Over the past 18 years, the first three months of the year always seem to stand out in terms of analyzing the alignment of emerging technology and consumer behavior that impacts trend analysis for the remainder of the year.

2018 was no different. I often joke that the “playoffs” for emerging technology happens between January and March each year. We immediately kick off the new year with CES, the consumer electronics show. CES is all about the latest technology and covering multiple football fields of tech in addition to all of the sessions and announcements culminating in a trend recap and analysis.

February is all about infrastructure and the underlying technology that will power the next iteration of multi-modal computing (voice, vision & touch) through Mobile World Congress in Barcelona. The discussions here highlight key tech tied to the upcoming rise of 5G connectivity and edge computing that will connect our world like never before. Find out what these trends mean for your business.

March then caps the three-month sprint with SXSW. The first fifteen days of March 2018 were especially accelerated from discussing machine learning, blockchain and humanizing artificial intelligence with ZD Net to previewing SXSW with Ad Age and Adweek

Tom Edwards SXSW.jpg

South by Southwest Interactive focused on experiences that build on technology and infrastructure to provide the consumer perspective for how the technology will further adapt to us vs. us inputing into technology. I spoke about our approach to artificial intelligence actioning data during SXSW with John Dubois of Oculus 360. And you can watch our Epsilon Agency SXSW recap video here.

The final leg of the innovation sprint culminated in delivering a TEDx talk on March 17th. Tom Ewdards TEDx Professional photo3TEDx is about sharing “ideas worth spreading”. Since 2009, TEDx talks have garnered over a billion views. I had the opportunity to speak at TEDx Oaklawn in Dallas, Texas on the evolution of experience. I focused on when the mobile device will no longer be the primary way we interface with technology as we shift from desktop and mobile to incorporate voice, vision and touch powered by intelligent systems that will ultimately enhance our reality.

The full TEDx video will be available within the next few weeks.

I look forward to sharing more throughout the year. For more, follow me @BlackFin360

This is a repost from the Epsilon corporate blog

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.

Follow Tom @BlackFin360

Celebrating 500 BlackFin Posts

This post is number 500 for the BlackFin360.com/blog. Starting this blog was one of the best decisions I have made professionally. It provided me with a platform to share original thoughts, cover industry trends and serve as a repository for speaking and media coverage.

It has evolved significantly from the early beginnings in 2007. The blog was originally under the domain TheBlackFin.com. Now that domain is simply a redirect to BlackFin360.com. “BlackFin” was a nickname given to me by a co-worker at the time and the blog name came directly from my Xbox Gamertag “TheBlackFin“.

Here is a screenshot of the original look for the blog from 2007-2009. Why green for a blog named the “black” fin is something I still wonder about to this day.

Over the years the look and feel of the blog has changed but the core content focus on marketing, emerging technology, and gaming has remained to this day.

I officially moved the blog from theblackfin.com to blackfin360.com in 2009. By 2011 at least there were black/techie elements in the look and feel.

Now in 2018, the blog continues to serve as the primary entry point for speaking engagements, advisor opportunities, university lecturing, media coverage and over the past year it has shifted to more of a Vlog.

The look of the site will continue to evolve in 2018 and beyond.

Whether this is your first time here or you have been a subscriber since the beginning, I sincerely want to thank anyone who has stopped by and spent time with my content. I am incredibly grateful for this platform and I would highly recommend to anyone to find their industry voice and build their personal brand in addition to their professional.

Follow Tom Edwards @BlackFin360

TEDx Oaklawn 2018

I am incredibly excited to have been accepted as a speaker for the first TEDx Oaklawn event in Dallas, Texas on March 17th, 2018.

Tickets for the event are available now.  This event will sell out quickly. Best to reserve your seats as soon as possible.

Here is a preview of my TEDx topic via my speaker submission video.

Hope to see you there!

Follow Tom @BlackFin360

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

 

Advertising Age Marketing Technology Trailblazer

Today Advertising Age announced their 2017 list of top 25 Marketing Technology Trailblazers and I am honored to be included.


Photo by Bradley Taylor, Caprock Studio 

A big thank you to the Epsilon corporate communications team, DGC and Advertising Age judges. I am truly humbled by the inclusion with such a great list of industry innovators.

I am incredibly grateful to my data design strategy and innovation teams. From research, planning, data design, digital strategy, digital experience delivery, social and innovation a huge thank you for all that you do.

I also want to thank Richard McDonald and the Epsilon agency leadership team for your continued support. Richard, it was your vision that sold me on joining Epsilon and its one of the best career decisions I have made.

Tom Edwards AdAge

Finally, a very special thank you to my amazing wife Cherlyn for supporting all the crazy hours and travel for the past 17 years.

Follow Tom Edwards @BlackFin360

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.

Follow Tom Edwards @BlackFin360