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Seth Earley

CEO at Earley Information Science

Carlisle, United States

An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions. Seth has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance by making information more findable, usable and valuable through integrated enterprise architectures supporting analytics, e-commerce and customer experience applications.

Seth Earley is a sought-after speaker, writer, and influencer. He is the author of "The AI-Powered Enterprise" from LifeTree Media which was released in April, 2020. In 2021, the book received the Axiom Business Book Silver Medal in the Artificial Intelligence / Robotics / Algorithms category. Seth was named to Thinkers360 top 50 global thought leaders and influencers on Artificial Intelligence for 2022.

His writing has appeared in IT Professional Magazine from the IEEE where, as former editor, he wrote a regular column on data analytics and information access issues and trends. He has also contributed to the Harvard Business Review, CMSWire, CEOWorld, TechTarget, eCommerce Times, Analytics Magazine. Journal of Applied Marketing Analytics, and he co-authored “Practical Knowledge Management” from IBM Press.

Available For: Advising, Consulting, Speaking
Travels From: Boston, MA
Speaking Topics: AI for Competitive Advantage, How Ontologies Enable Digital Transformation, Building Data Infrastructure for AI

Speaking Fee $10,000

Personal Speaking Website: sethearley.com
Seth Earley Points
Academic 5
Author 166
Influencer 76
Speaker 9
Entrepreneur 20
Total 276

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Featured Videos

Customer Contact Week - Layer AI Into Your Existing Tech Ecosystem to Augment Agent Capacity
April 25, 2022
ACE Conference Keynote: Understanding the User's Mental Model
April 25, 2022
IA Summit Keynote: Innovation and Information
April 25, 2022

Featured Topics

Is your Data Ready for AI?

“We need more training data” is a common reframe from AI project principles. However the organization does not lack data. If anything there is too much data and machine learning and automated approaches are needed to understand and make use of enterprise data. The missing ingredient is a consistent framework and structure for information. Frequently the conventional answer is “master data”. While master data is important and critical to many processes, starting at the data level can cause the organization to miss important elements. A better place to begin is defining the concepts and things that are important to the business. Those concepts can then be designed into multiple systems and technologies.
This is a critical distinction that business leaders need to understand rather than leave to technology groups or worse, try to outsource to third party and off shore providers.

One expression of these business concepts is referred to as an “ontology” which is the master knowledge scaffolding for the enterprise. Building, applying and maintaining an ontology sounds complex but it is no more complex than other important business considerations.

Creating an ontology is an essential investment to prepare your enterprise to realize the benefits of AI and machine learning. Gone are the days when businesses should simply allow a number of small AI projects to blossom independently: for these projects to be competitive they need to draw on data from across the company, data stored in many different forms in many different systems and in different structures. An ontology defines these connections in a way that AI can take advantage of.

Business will be best positioned to build and apply practical business-focused ontologies if they 1. Identity pain points and friction in the current process 2. Define the desired future state 2. Understand what data is required to support that future state 3 Develop the organizing structures to harmonize and apply are most needed-before beginning to set the organizing principles for the ontology itself.

Attendees will leave with an understanding of:
The business value of an ontology
A non-technical explanation of how to develop an ontology
How to structure data governance
How to apply and gain efficiencies from this approach

The Journey to AI Powered Transformation: Practical Steps for Achieving Real Business Value

Digital transformation has become a broad, catch all term meaning anything from improving the customer experience to streamlining internal business processes and everything in between. Artificial Intelligence has also become a broad and ambiguous concept meaning everything from chatbots to self-driving cars. Now put those two concepts and you end up with jargon soup, wasted resources, confusion, and failed initiatives. The industry is full of hype and confusion, buzzwords and bs, unrealistic expectations and some high visibility failures.

Whenever a significant technology change comes about, it’s difficult to not get caught up in the confusion and end up on costly paths without business value due to the fear of missing the next big thing and losing out to the competition

In this session we will hear from award winning author and popular conference speaker Seth Earley who will provide practical guidelines for getting real business value from Artificial Intelligence programs and projects and discuss what needs to be in place to be successful (hint: it’s not the technology).

Attendees will leave with a buzzword free understanding of:
The necessary business decisions when considering these tools
Cultural issues and how to address them
How to approach processes to maximize business value

Knowledge Engineering – “The Last Mile” of Artificial Intelligence

Cognitive AI runs on knowledge – expertise and content structured and organized for retrieval using virtual assistants, chat bots, and conversational commerce applications. But how do organizations build this capability cost effectively and sustainably? The answer is a “knowledge factory,” an approach that solves information problems today while providing a foundation for the future methodology for analyzing business problems, breaking problems into specific information requirements, developing and structuring knowledge components, and building out models for continuous learning and knowledge curation using automated and human in the loop approaches along with process metrics to quantify business impact. Organizations that do not build these capabilities will be caught flat footed as the industry progresses and competitors build sophisticated capabilities that enable higher levels of customer service at lower costs.

Attendees leave with an understanding of:
Actionable steps to begin their journey.
How to develop a realistic achievable, roadmap based on current capability maturity
How to apply a repeatable, scalable “factory” process to conventional knowledge management problems

Company Information

Company Type: Company
Theatre: North America
Media Experience: 25
Last Media Training: 04/10/2020
Last Media Interview: 12/20/2021

Areas of Expertise

AI 32.61
Analytics 30.08
Big Data 30.86
Customer Experience 35.40
Data Center 42.96
Digital Disruption
Digital Transformation 32.36
Emerging Technology 30.05
Entrepreneurship 31.74
Future of Work
Marketing 30.42

Industry Experience

Aerospace & Defense
Chemicals
Consumer Products
Engineering & Construction
Financial Services & Banking
Healthcare
High Tech & Electronics
Insurance
Manufacturing
Pharmaceuticals
Professional Services
Retail
Telecommunications
Utilities
Wholesale Distribution

Publications

19 Article/Blogs
Knowledge Graphs, a Tool to Support Successful Digital Transformation Programs
Customer Think
July 01, 2022
Knowledge graphs are pretty hot these days. While this class of technology is getting a lot of market and vendor attention these days, it is not necessarily a new construct or approach. The core principles have been around for decades. Organizations are becoming more aware of the potential of knowledge graphs, but many digital leaders are puzzled as to how to take the next step and build business capabilities that leverage this technology.

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Tags: AI, Digital Transformation, Emerging Technology

The Coming Tsunami of Need — Knowledge Management for Artificial Intelligence
Customer Think
April 19, 2022
Knowledge management has had a bad rap. For the past few decades, it has gone through cycles of popularity after being introduced in the early 90s, and in some of those cycles, it has been significantly devalued. That is the online incarnation of KM.

Now knowledge management is experiencing something of a revival, as its value in enabling AI is being increasingly recognized.

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Tags: Analytics, AI, Digital Transformation

Verizon’s Digital CX Transformation: 6 Fails (and Fixes) for One Customer
Customer Think
February 18, 2022
To begin with, even though I have updated contact information on this business account on multiple occasions, a lot of the contact information was incorrect. I was greeted by the mobile app as “Linda” — an assistant from several years back — and was repeatedly prompted to certify the device that I was doing this on, and the answers to my “secret questions” were all incorrect (though I had these tracked on a spreadsheet). I was prompted again and again to reset my password and for some reason was prompted to create a new username.

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Tags: AI, Customer Experience, Digital Transformation

2022 The Year of Enabling Deeper Human Connections Through Technology
Earley Information Science
December 14, 2021
2021 was a continuation of an extraordinary time. While the pandemic continued with cycles, waves and variants, businesses and individuals have adjusted and continued to move ahead as best they could. In this blog post, I reflect on the year past and make some predictions about 2022.

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Tags: AI, Digital Transformation, Data Center

Large Scale Digital Transformations — What to Do When the CEO Says “Just Make It Work”
Customer Think
October 26, 2021
A few years back, I was attending an executive presentation of project findings and recommendations for an outdoor products manufacturing company. The project remit was defining the future state digital architecture and a high-level plan to support the organization’s transformation of the customer experience. Our engagement lead had vetted the findings and recommendations with the client’s core team. The core team was excited about the level of detail, the plan’s comprehensiveness, and the consistent architecture across multiple tools that would enable an outstanding customer experience.

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Tags: AI, Digital Transformation, Data Center

Personalization of Product Hierarchies: 3 Data-Driven Approaches
CMSWire
October 21, 2021
Personalization comes in multiple shapes and forms, many of which businesses can put to effective use. But they shouldn't make the mistake of launching all of them at once. An incremental approach works well here. And a good place to start is product hierarchies.

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Tags: AI, Digital Transformation, Data Center

10 Tips to Overcome Obstacles of AI-Enabled Digital Transformation
Customer Think
August 20, 2021
Numerous studies show that large organizations are realizing only limited success in digital transformation projects. For example, BCG and McKinsey research have put success rates in the 30% range. [1][2] The pandemic has accelerated some aspects of digital transformations, since the ability to work remotely required new tools, technology, and infrastructure. However, it is still unclear whether or not that acceleration is leading to the success of transformation efforts beyond the ability to work remotely.

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Tags: AI, Customer Experience, Digital Transformation

The Missing Ingredient to Digital Transformation: Scaling Knowledge Communities and Processes
Customer Think
June 22, 2021
The phrase “digital transformation” can mean anything and everything — tools, technology, business processes, customer experience, or artificial intelligence, and every buzzword that marketers can come up with. Definitions from analysts and vendors include IT modernization and putting services online; developing new business models; taking a “digital first” approach; and creating new business processes, and customer experiences.

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Tags: AI, Digital Transformation, Data Center

ROI of Digital Transformation: Balancing Long-Term Vision and Short-term Impact
Customer Think
April 14, 2021
Nowhere is the case for metrics stronger than in digital transformations. The most sweeping and comprehensive transformations are the most effective, but the fact that they take place over years and not months means that the full effect is not felt for a long time. Yet the pressures are constant to show ROI for the investments within budget cycles. The key to maintaining support for these initiatives is to link them to improvements in process and outcomes from the very beginning. Short-term wins can then be put into the context of long-term goals, thereby sustaining momentum. Defining what those wins are and providing convincing measurements is essential in launching and maintaining digital transformations.

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Tags: Customer Experience, Digital Transformation, Data Center

Digital Transformation and the Role of the Customer Data Platform (CDP)
Customer Think
February 20, 2021
Digital Transformation (DT) and Customer Data Platforms (CDPs) both entail a great deal of confusing, ambiguous and catch-all terminology that does very little to help prospective buyers make decisions. In fact, it amounts to buzzword soup. The boundaries of digital transformation are vague, and the term seems to mean something different for every company. And despite the undeniable value of having the complete view of the customer that a CDP can provide, the industry does not actually agree on what a CDP is.

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Tags: Customer Experience, Digital Transformation, Data Center

Is Your Data Infrastructure Ready for AI?
Harvard Business Review
April 28, 2020
Creating an ontology is an essential investment to prepare your enterprise to realize the benefits of AI and machine learning. Gone are the days when businesses should simply allow a number of small AI projects to blossom independently: for these projects to be competitive they need to draw on data from across the company, data stored in many different forms in many different systems. An ontology defines these connections in a way that AI can take advantage of. Businesses will be best positioned to build ontologies if they identify and research pain points first–areas where the data connections are most needed–before beginning to set the organizing principles for the ontology itself.

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Tags: AI, Data Center, Digital Transformation

Are Chatbots a Good Place to Start Your Enterprise AI Initiative?
LinkedIn
January 15, 2018
In a ZDNet interview recently Stephen Pratt, CEO of AI solution provider Noodle.ai argued that many companies are starting their AI initiatives in the wrong place—chatbots. Instead, he contends, they should be focusing on enterprise-wide issues such as process optimization and core business operations.

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Tags: AI, Digital Transformation, Data Center

Lessons from Alexa: Really, There is No AI without IA
LinkedIn
October 23, 2017
I was given an Amazon Echo, Amazon’s cloud based intelligent agent, as a gift and was very excited to connect it and set it up. First, I walked through some of the features – asking about the weather, setting a timer, listening to a radio station, asking about specific facts (like capitals of states or countries, measures, math problems), asking about local movies, getting an NPR “flash briefing” and a few other interesting functions.

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Tags: AI, Digital Transformation, Data Center

What "Digital Transformation" means to your brand promise.
LinkedIn
October 10, 2017
Data, feedback loops, and electronic body language
Digital transformation as a concept has lost a lot of its meaning and has become a catch-all for many types of information initiatives. What we need to remember is that a digital transformation is about rethinking not only the end-to-end user experience and customer journey, but the entire value chain and the fundamental reason why customers deal with your organization.

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Tags: AI, Digital Transformation, Data Center

Product Data and the Brand Promise
LinkedIn
March 14, 2017
Digital transformation as a concept has lost a lot of its meaning and has become a catch-all for many types of information initiatives. What we need to remember is that a digital transformation is about rethinking not only the end-to-end user experience and customer journey, but the entire value chain and the fundamental reason why customers deal with your organization. If customers can get products cheaper on Amazon, does that mean you are destined to go out of business? Of course not. Customer loyalty depends on much more than price alone.

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Tags: AI, Digital Transformation, Data Center

The Coming Bot Craze (and What You Need to Do About It)
LinkedIn
October 11, 2016
At the Opus Research (@opusresearch (link is external)) Intelligent Virtual Assistant Conference in San Francisco this week, I heard from vendors, analysts, gurus, and customers about how the world will be transformed by artificial intelligence, agents, machine learning, intelligent virtual assistants – collectively known as “the Bots.” One of the more entertaining sessions consisted of a panel of venture capitalists, including former Evernote CEO Phil Libin (@plibin (link is external)), Joshua Kauffman, of Wisdom (@joshuakauffman (link is external)), and Sarah Guo of Greylock Partners (@saranormous (link is external)). One of Phil’s comments related to how people think AI will kill humans. He said that is a logical assumption because the AI will be really smart and humans are #$$holes.

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Tags: AI, Digital Transformation, Data Center

How Companies Are Benefiting from “Lite” Artificial Intelligence
Harvard Business Review
July 19, 2016
Artificial intelligence is hot, but also daunting. The latest advances — known variously as cognitive computing, machine learning, and deep learning — sound complicated and expensive. And they are, despite the enormous potential they bring to the marketplace. For many companies, the price tag and the commitment of resources are too high a hurdle. And for other reasons, even a giant like Apple is facing challenges.

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Tags: AI, Digital Transformation, Data Center

There Is No AI without IA
IT Pro
May 16, 2016
Artificial intelligence (AI) is increasingly hyped by vendors of all shapes and sizes—from well-funded startups to the well-known software brands. Financial organizations are building AI-driven investment advisors. Chat bots provide everything from customer service to sales assistance. Although AI is receiving a lot of visibility, the fact that these technologies all require some element of knowledge engineering, information architecture, and high-quality data sources is not well known...

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Tags: AI, Customer Experience, Digital Transformation

Information Architecture: The Engine that Drives Retail
LinkedIn
September 26, 2014
Under pressure from pure play e-Tailers such as Amazon and eBay, brick and mortar retailers are scrambling to defend their businesses. To stay competitive, most have now added an e-Commerce channel. The challenge for many legacy retailers is that e-Commerce has involved a long learning curve and now mobile and web channels have become part of core functionality rather than a cutting edge addition to the brand. Add to this that many traditional retailers still lack a core competency in the technical nuances necessary to compete effectively with the Amazons and eBays.

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Tags: AI, Digital Transformation, Data Center

1 Book
The AI Powered Enterprise
Lifetree Media
April 28, 2020
The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future?

When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence—AI—is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing.

AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise.

Business leaders who want to catch the AI wave—rather than be crushed by it—need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development.

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Tags: AI, Customer Experience, Digital Transformation

1 Founder
Earley Information Science
Earley Information Science
January 03, 1994
We are a professional services firm with proven methodologies designed specifically to address product data, content assets, customer data, and corporate knowledge bases. Our information architecture expertise has allowed clients to efficiently organize, access, and utilize their data, ultimately, resulting in better business outcomes. We deliver customer results-driven solutions that scale and adapt to your business as it evolves.

Founded by information management expert Seth Earley in 1994, Earley Information Science has proudly delivered results-driven solutions for more than 100 brands across industries.

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Tags: AI, Entrepreneurship, Data Center

1 Journal Publication
Using the Customer Journey to Optimize the Marketing Technology Stack
Henry Stewart Publications
March 01, 2021
This paper discusses how to evaluate marketing technology (martech) software
in the context of the customer journey. It describes the technologies that are used to
engage the customer at each stage of the customer journey, beginning with search engine
optimization to enable the inbound engagement that brings customers to a website
and informs them about the available products or services. The paper describes the
different characteristics of the customer journey, such as the fact that it traverses multiple
departments and requires support from many organizational processes and structures.
The paper concludes that in order to develop an appropriate martech software stack,
it is essential to take a holistic view of the customer journey and the technologies used
to support it. This paper provides a detailed analysis of an engagement strategy that
spans the entire customer journey and identifies the technologies that are used for each
stage, from search to purchase, order fulfilment, use of the product, and support. As
implementing a full complement of solutions is not always possible, this paper provides
guidance on how to prioritize the selection of enabling software, to guide the investment
strategy by identifying those technologies that offer the greatest value to the organization.

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Tags: Customer Experience, Digital Transformation, Marketing

3 Media Interviews
Seth Earley’s advice on going from taxonomy to ontology and beyond…
Dell Technologies
November 09, 2021
Hear from the AI futurist and award-winning author on how to tackle data management and much more.
I sat down recently with Seth Earley, sought-after guest speaker and author of The AI-Powered Enterprise to talk about the power of data classification. Seth shared some resonant insights and advice, including the role of taxonomy in structuring data assets correctly: an often-neglected practice (to a company’s detriment).

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Tags: AI, Digital Transformation, Data Center

AI Has Failed To Deliver On Its Promises | Seth Earley
YouTube
September 14, 2020
Seth Earley is the author of “THE AI-POWERED ENTERPRISE”, a new book now available on Amazon. We sat down with him to talk about his book and the evolution of AI in the enterprise space.

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Tags: AI, Digital Transformation, Data Center

Seth Earley of Earley & Associates Discusses Big Data on CMS-Connected
CMS-Connected| YouTube
March 20, 2014
Seth Earley discusses Big Data with Scott Liewehr and Butch Stearns during his visit to CMS-Connected on March 20, 2014.

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Tags: AI, Big Data, Digital Transformation

15 Podcasts
Michael Schrage on Recommendation Engines - Episode #14
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April 06, 2022
In this episode, Seth and Chris talk with Michael Schrage, Fellow at MIT Sloan School's Center for Digital Business and author of the book, "Recommendation Engines."Highlights:Links:Book: Recommendation EnginesThanks to our sponsors:Marketing AI InstituteCMSWireEarley Information Scie

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Tags: AI, Big Data, Data Center

Stephanie Lemieux on Taxonomy & Information Architecture - Episode #13
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March 29, 2022
In this episode, Seth and Chris talk with Stephanie Lemieux, President of Dovecot Studio about the nuts and bolts of taxonomy and information architecture.Highlights:1:42 - Stephanie Lemieux background & Relationship with IA & Taxonomy7:30 - Complexities & Foundational Problems15:05 - Gr

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Tags: AI, Digital Transformation, Data Center

Jeff Coyle on AI and Content Strategy - Episode #12
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March 18, 2022
In this episode, Seth and Chris talk with Jeff Coyle about how AI is impacting content strategy.Highlights:2:55 - Craft beer - on winning the award for a Mexican lager10:00 - Jeff's path to a passion for SEO14:30 - On using data to decide what to write about20:00 - What does Google think you th

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Tags: AI, Big Data, Data Center

Mark Anderson on Pattern Discovery Engines - Episode #11
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March 02, 2022
In this episode, Seth and Chris talk with Mark Anderson about the new field of pattern discovery and its impact on AI.Highlights:11:45 Path to pattern discovery17:15 Eliminating the  hypothesis and focus on the data with a Y value30:00 Solving the most challenging problems with pattern discovery40:

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Tags: AI, Digital Transformation, Data Center

Tim Huckaby on the Future of AI and Computer Vision - Episode #10
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March 01, 2022
In this episode, Seth and Chris talk with Tim Huckaby about the his experience as a software developer in the 90s and his take on the future of AI and computer vision.Highlights:4:30 Developing software at Microsoft in the 90s11:00 Hollywood stories14:30 Leaving Microsoft and building an app dev fir

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Tags: AI, Digital Transformation, Data Center

Sean Martin on Practical & Scalable Knowledge Graphs - Episode #9
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February 22, 2022
In this episode, Seth and Chris talk with Sean Martin about the development and practical applications of knowledge graphs.Highlights:5:30 – First online sports scoring website launched9:00 – First forays into semantics applications13:00 – Getting through scaling issues16:30 – On needing to

Tags: AI, Digital Transformation, Data Center

Paul Zhao on Democratizing AI - Episode #8
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February 11, 2022
In this episode, Seth and Chris talk with Paul Zhao about making AI more accessible for everyone.Highlights:5:00 on being a tech entrepreneur30:00 after the buy out challenges - what now?39:00 advice to the non-technical on gaining business value with AI/ML50:00 on build vs buy Contact Paul:https:/

Tags: AI, Digital Transformation, Data Center

Paul Lasserre on AI & Customer Experience - Episode #7
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February 01, 2022
In this episode, Seth and Chris talk with Paul Lasserre about his experience developing applied AI applications. Highlights:4:15 Link between AI and chasing pirates in the Navy7:00 On getting into customer experience as a ML problem10:00 On the challenges of internally selling new ideas15:00 On mea

Tags: AI, Digital Transformation, Data Center

Henrik de Gyor on Synthetic Media - Episode #6
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January 18, 2022
In this episode, Seth and Chris talk with Henrik de Gyor about his research on synthetic media.Highlights:11:15 Defining synthetic media13:30 Rights management19:14 Nefarious applications21:30 Provenance  & Ethics37:00 Applications and tools today48:30 Future applicationsLinksBook: Synthetic Me

Tags: AI, Digital Transformation, Data Center

Linda Andersson on AI Powered Semantic Search - Episode #5
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January 12, 2022
In this episode, Seth and Chris talk with Linda Andersson, Founder & CEO of Artificial Researcher about AI powered semantic search.Highlights:5:00 - Linda's journey to her work14:20 - Domain knowledge and ontologies17:07 - Knowledge extraction20:05 - Why we need ontologies20:50 - Bias and n

Tags: AI, Digital Transformation, Data Center

Adam Sutherland on AI and Personalization in Media & Entertainment - Episode #4
Earley Information Science
November 23, 2021
In this episode, Seth and Chris talk with Adam Sutherland about AI and machine learning in media and content.

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Tags: AI, Digital Transformation, Data Center

Massood Zarrabian on Innovation in Enterprise Search with AI - Episode #3
Earley Information Science
November 05, 2021
In this episode, Seth and Chris talk with Massood Zarrabian, CEO at BA Insight about how enterprise search is evolving - getting better (bringing greater value) and costing less.

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Tags: AI, Digital Transformation, Data Center

Mike Kaput On How To Get Value From Out-Of-The-Box AI Applications - Episode 2
Earley Information Science
September 30, 2021
In this episode, Seth and Chris talk with Mike Kaput, Chief Content Officer at Marketing AI Institute, about he's used out of the box AI tools to enhance marketing operations.

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Tags: AI, Digital Transformation, Data Center

Chris Featherstone Talks About Building Omnichannel Virtual Assistants - Episode 1
Earley Information Science
September 17, 2021
Many companies are turning to chatbots and virtual assistants to improve customer experience and increase operational efficiency. In the past text and voice channels were distinct. Now, tools and technologies are emerging to support omnichannel virtual assistants that seamlessly blend text and voice. However, voice and text interactions are quite different and have specialized design requirements.

In this episode, Chris and Seth talk about core principles for building chat and voice assistants and review key considerations for each channel.

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Tags: AI, Digital Transformation, Data Center

EARLEY AI PODCAST
Earley Information Science
September 01, 2021
Insights, Expertise and Random Commentary on Artificial Intelligence and Machine Learning with Seth Earley & Chris Featherstone.

On this podcast, hosts Seth Earley & Chris Featherstone invite a broad array of thought leaders and practitioners to talk about what's possible in artificial intelligence, as well as what is practical in the space, as we move toward a world where AI is embedded in all aspects of our personal and professional lives. They explore what's emerging in technology, data science, and enterprise applications for artificial intelligence and machine learning and how to get from early stage AI projects to fully mature applications.

Seth is founder & CEO of Earley Information Science and the award winning author of "The AI Powered Enterprise."

Chris is a technology executive and strategist interested in how AI and Machine Learning will enable next generation customer and workforce engagement.

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Tags: AI, Digital Transformation, Data Center

14 Videos
[Panel Discussion] The Knowledge Management Imperative: Why KM is Essential to AI
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April 28, 2022

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Tags: AI, Customer Experience, Digital Transformation

AI Success - It's Not the Technology, it's the Data
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April 13, 2022

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Tags: AI, Customer Experience, Digital Transformation

Seth Earley - What do you say to execs who don't understand the value of information architecture?
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March 28, 2022

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Tags: AI, Customer Experience, Digital Transformation

Seth Earley - How can my company get started with information architecture?
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March 28, 2022

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Tags: AI, Customer Experience, Digital Transformation

Seth Earley - Who benefits from investments in information architecture?
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March 28, 2022

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Tags: AI, Customer Experience, Digital Transformation

Seth Earley - What do you say to execs who question the value of Information Architecture projects?
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March 25, 2022

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Tags: AI, Customer Experience, Digital Transformation

How to Instrument KPIs Throughout the Customer Journey
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March 24, 2022

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Tags: AI, Customer Experience, Digital Transformation

Seth Earley - When is the best time to invest in Information Architecture?
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March 24, 2022

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Tags: AI, Customer Experience, Digital Transformation

How to Evaluate and Assess Your Marketing Technology Stack
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March 24, 2022

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Tags: AI, Customer Experience, Digital Transformation

Seth Earley - What is Information Architecture?
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March 18, 2022

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Tags: AI, Customer Experience, Digital Transformation

Seth Earley - Why is Information Architecture so important RIGHT NOW?
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March 18, 2022

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Tags: AI, Customer Experience, Digital Transformation

First Party Data - Managing and Monetizing the "Data Exhaust" From Your MarTech Stack
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January 28, 2022

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Tags: AI, Customer Experience, Digital Transformation

Seth Earley - Why can there be no Artificial Intelligence (AI) w/out Information Architecture (IA)?
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January 21, 2022

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Tags: AI, Customer Experience, Digital Transformation

Seth Earley Explains: Metric Driven Decision Making
Earley Information Science | YouTube
September 09, 2021
In under 6 minutes Seth Earley delivers an introduction to governance and metric-driven decision-making. If you have leaders that need to appreciate why information governance is a necessity and requires attention and budget, this is the one to share.

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Tags: AI, Digital Transformation, Data Center

3 Webinars
How to delight customers & increase revenue with product recommendations
Earley Information Science
December 08, 2021
Today your ecommerce customers expect to be shown recommendations as they browse your product catalog. But, “most popular” is a filter that isn’t going to cut it anymore. There are many better approaches now for providing recommendations - from "others also bought" to context driven recommendations. Some involve more human intervention while others are algorithm driven. Depending on where you are in your ecommerce journey one or the other may be more suited to your site.

In this webinar we discuss:

**What is a recommendation engine
**5 techniques for providing recommendations
**What data, technology, and skills do you need in place for each approach
**What you need to do to move to the next level

Speakers

Seth Earley
Founder & CEO, Earley Information Science

Dave Skrobela
Client Partner, Earley Information Science

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Tags: AI, Digital Transformation, Data Center

The Business Value of Taxonomy - Your Competitors Understand It
Earley Information Science | YouTube
June 24, 2021
Here’s the secret that your competitors aren’t revealing. They ARE INVESTING in the foundational information architecture that every digital transformation depends on. From high performing ecommerce sites to AI powered customer service bots, they are all made or broken by the quality of the data that drives them. There is no way to skimp on this and achieve superior results. In fact, the need is greater than ever for taxonomy and IA as companies look to semantic search, AI powered chatbots, optimization of the customer journey, the ecommerce and personalization, data analytics and more for a competitive edge.

In this webinar Seth Earley, Founder & CEO of Earley Information Science welcomes Rebecca O'Brien with Global Industrial, David Bonk with 3M, and Giovanni Piazza with Takeda Pharmaceuticals to the panel to share their unique insights related to building the information foundation for digital experiences.

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Tags: AI, Digital Transformation, Data Center

Seth Earley talks about Organizing Information with Artificial Intelligence
YouTube
July 09, 2020
After you watch his passionate explanation of #AI in organizing ontologies and taxonomies, purchase Seth's new book, The AI-Powered Enterprise (https://www.amazon.ca/AI-Powered-Ente...). He knows what he's talking about. After watching and reading, you will too.

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Tags: AI, Digital Transformation, Data Center

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