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

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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

In The News: Ad Age Data Design & Alexa

I was recently interviewed by Ad Age discussing the efforts of my data design team and our work with Amazon and the Alexa Skills Kit.

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When I first joined the Epsilon agency team I wanted to bridge traditional brand planning, strategy and data science to uniquely assess all of our data sources and build recommendations that leverage the right data to assist planning, strategy development and data-driven insights to support strategy and creative.

Now the agency data design group is comprised of 3 core components: 1) Mapping the data landscape 2) Storytelling through data 3) Consulting & training. My goal with this team is align intelligence from the data, regardless of source, that will inform how we communicate and message with consumers as technology and behaviors evolve and most importantly drive performance.

There are three primary areas of focus for the team:

1) Proprietary data sources & methodologies e.g. Leveraging Epsilon’s structured data

2) Unstructured data sources & methodologies e.g. Finding previously invisible insights by applying machine learning & artificial intelligence to unstructured category data

3) New data sources & methodologies e.g. Uncover new types of data sets that we call affective datasets and how it will impact and reshape how we connect across the consumer journey

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Unstructured and New Data sources combined with Epsilon’s proprietary data began to accelerate our processing and analysis capabilities to uncover consumer truths with unstructured data to further fuel our agency’s strategic storytelling and data driven creative leading to an evolution of brand planning.

For the past 12 months my data design team has focused on aligning emerging artificial intelligence systems and algorithms with our structured data assets to combine all of the following elements.

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Data Design is the bridge between planning and bleeding edge tools like cognitive computing, artificial intelligence and natural language processing. Ad Age highlighted our approach with Amazon and how we leverage machine learning on amazon.com down to the product SKU level to further inform communication and engagement strategy as well as our team being one of the early adopters of the Alexa Skills Kit (ASK).

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Here is an example of data design concepts in action.

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Follow Tom Edwards @BlackFin360