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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, CXO Outlook's Top 10 Most Influential CEO's of 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
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
Accelerating Data and Analytics Capabilities Age of Generative AI: How Governance is a Key Enabler
Earley Information Science
September 18, 2023
The underlying principles of Artificial Intelligence have been evolving over decades. Recent advances have created nothing short of a revolutionary breakthrough in information management. Generative AI is in the public consciousness and corporate applications are promising but require certain guardrails and decision-making policies and processes. While “governance“ is a term that brings to mind bureaucratic structures with little practical on-the-ground application, a correctly designed decision-making framework driven by business process/outcome measures and KPIs provides a critical component of data analytics and AI programs.
How to Successfully Test and Deploy a ChatGPT-Type of Application
Customer Think
August 18, 2023
Organizations are taking a cautious approach to Generative AI — the Large Language Model (LLM) powered ChatGPT-like applications that have burst onto the technology and consumer scene. Increasingly, the C-suite is trying to factor in how LLMs and Generative AI will be part of their digital transformation roadmaps.
What ChatGPT and Generative AI Mean for Digital Transformation
Customer Think
May 02, 2023
An arms race is raging in the AI industry — every organization is frantically investing in or investigating how the large language models (LLMs) that powers Generative AI can be applied to the enterprise. Generative AI will be on every organization’s digital transformation roadmap. The astounding capabilities of ChatGPT have been grabbing all of the headlines, but the question now is, how can these powerful tools be used to optimize the customer or employee experience?
[RECORDED] Master Data Management & Personalization: Building the Data Infrastructure to Support Orchestration
Earley
March 02, 2023
The Increasing Criticality of MDM for Personalization for Customers and Employees
Master data management seems to be one of those perennial, evergreen programs that organizations continue to struggle with.
Every couple of years people say, “we're going to get a handle on our master data” and then spend hundreds of thousands to millions and tens of millions of dollars working toward a solution.
Conversation with ChatGPT on Enterprise Knowledge Management
Earley
February 01, 2023
In this article, I will delve into more detail about the value of generalized language models, whether ChatGPT can replace knowledge management, and how ChatGPT relates to knowledge management tools such as ontologies and knowledge graphs.
The Future of Bots and Digital Transformation – Is ChatGPT a Game Changer?
Earley
January 20, 2023
Digital assistants are taking a larger role in digital transformations. They can improve customer service, providing more convenient and efficient ways for customers to interact with the organization. They can also free up human customer service agents by providing quick and accurate responses to customer inquiries and automating routine tasks, which reduces call center volume. They are available 24/7 and can personalize recommendations and content by taking into consideration role, preferences, interests and behaviors. All of these contribute to improved productivity and efficiency. Right now, bots are only valuable in very narrow use cases and are unable to handle complex tasks. However, the field is rapidly changing and advances in algorithms are having a very significant impact.
Innovation with Utility in Mind - What’s Ahead for 2023
Earley
December 19, 2022
It has been a year of advances in AI with new tools that create art, write essays, and have conversations that are often (but not always) startlingly eloquent. It is that space of "not always" that keeps these tools from working out of the box to solve actual business problems without human intervention.
[January 11] How to Use Software to Accelerate Product Data Design, Optimization and Metrics Driven Decision Making
Earley
December 08, 2022
Some product information management (PIM) tools make it difficult to change core data models once they have been set up in the system. To avoid costly rework, you can utilize a “pre-PIM” design tool as a PIM accelerator. This class of software allows you to:
Making the Best of AI – What Executives Need to Know
Earley Information Science
November 09, 2022
Beginning the journey with the right preparation will lead to success instead of disappointment
For many enterprises, some AI capabilities are moving into core operations. However, other enterprises are still early in the journey or are seeking out applications that will provide meaningful, measurable returns. Still others are just scratching the surface with initial capabilities but realize that they have far to go in order to truly build competitive advantage.
How to Navigate the 5 Stages of Organizational Maturity in Digital Transformation
Customer Think
October 21, 2022
In contemplating digital transformation program investments, executives ask two things: What is the current state costing us, and does it make economic sense to fix it?
Tags: Customer Experience, Digital Transformation, Management
What is Hybrid AI? An Approach for Data Discovery
Earley Information Science, Inc
October 13, 2022
Hybrid AI is a method of combining machine learning, which uses statistical models to analyze data, and symbolic AI, which is semantic-based and provides insights into meaning. By using the strengths of each technique, an outcome can be achieved that is more powerful than would be achievable by either one alone.
Removing Friction from Information Flows: Vital for a Successful Digital Transformation
Customer Think
August 26, 2022
A critical step in digital transformation is to enable the free flow of information throughout the enterprise. But various forms of friction can obstruct this flow. Friction is anything that slows down information access, information retrieval or information manipulation. One of the most obvious...
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Tags: Customer Experience, Digital Transformation, Marketing
5 Media Interviews
269 The AI-Powered Enterprise: How to Make Your Business Smarter, Faster, and More Profitable with Seth Earley, CEO Earley Information Science | Partnering Leadership AI Global Thought Leader
Partnering Leadership
July 11, 2023
In this Partnering Leadership conversation, Mahan Tavakoli speaks with Seth Early, CEO & Founder at Earley Information Science and Award Winning Author of The AI-Powered Enterprise. In the discussion, Seth Earley, an expert in knowledge strategy and artificial intelligence, emphasizes the crucial role of understanding processes and use cases in successfully integrating AI tools within organizations. Seth Earley goes on to highlight why there is a need for organizations to build libraries of use cases and stresses that AI alone cannot solve complex business problems. Then Seth Earley shares why, despite AI advancements, organizing and sharing information effectively through information architecture is still essential, increasing the significance of data models and accurate data for optimal algorithm performance. Finally, Seth Earley discusses the potential dangers of generative AI, such as the proliferation of misinformation and deep fakes. However, he also highlights the productivity-enhancing potential of generative models when used in conjunction with human expertise.
"There's no AI without IA" | Seth Earley (CEO @ Earley Information Science)
Future of Product
May 23, 2023
Seth Earley is the CEO of Earley Information Science and the author of "The AI-Powered Enterprise". In this episode, Seth discusses the vast potential of AI in business processes, the importance of understanding your organization's needs, and the best strategies for implementing AI initiatives. He emphasizes the role of AI in enhancing both customer and employee experience, and how properly utilized AI can bring tremendous efficiencies. Here's an overview of our discussion:
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).
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.
The Holy Grail of AI
Earley Information Science
May 08, 2023
Today’s guest is Alex Babin, Co-Founder and CEO at ZERO Systems. Alex joins Seth Earley and Chris Featherstone to share two of the biggest misconceptions of AI and a new AI metric data tool. Using AI to track data improves performance.
Taking Control of your Data: How Knowledge Graphs Help to Optimize your Business
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September 22, 2023
Today’s guest is Doug Kimball, Chief Marketing Officer for Ontotext . Doug joins Seth Earley and Chris Featherstone to the discuss the rapidly evolving world of knowledge graphs and AI.Takeaways:Doug Kimball's statement about knowledge graphs being an "add to" and an "enhance
The Secret Power of Collaboration in Data Science - Ben Clinch - Earley AI Podcast with Seth Earley - Episode 33
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September 08, 2023
Today’s guest is Ben Clinch, Head of Information Architecture for BT Group . Ben joins Seth Earley and Chris Featherstone to the discuss the rapidly evolving world of data science in organization. Takeaways:An intriguing aspect is the common practice of Large Language Models (LLMs) utilizing ge
[Earley AI Podcast] Episode 32: Glenn Gow
Earley
June 05, 2023
Today’s guest is Glenn Gow, CEO of Coaching at The Peak Performance CEO Coach. Glenn joins Seth Earley and shares how people should start leaning into what technology is advancing today. Glenn expresses the importance of learning these new materials to create opportunities for you and your company. Be sure to listen in on Glenn giving his advice on how larger companies should incorporate AI into their business!
The Power of AI - Glenn Gow - Earley AI Podcast with Seth Earley - Episode # 032
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June 05, 2023
Today’s guest is Glenn Gow, CEO of Coaching at The Peak Performance CEO Coach. Glenn joins Seth Earley and shares how people should start leaning into what technology is advancing today. Glenn expresses the importance of learning these new materials to create opportunities for you and your company
Tags: Analytics, AI, Big Data
It’s All About the Data - Kirk Marple - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 031
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May 22, 2023
Today’s guest is Kirk Marple, Technical Founder and CEO at Unstruk Data. Kirk joins Seth Earley and Chris Featherstone to discuss organizing historical data and long-term memory. Kirk emphasizes the importance of organizing data in a manner that allows for seamless integration with novel models
Tags: Analytics, AI, Big Data
The Holy Grail of AI - Alex Babin - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 030
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May 08, 2023
Today’s guest is Alex Babin, Co-Founder and CEO at ZERO Systems. Alex joins Seth Earley and Chris Featherstone to share two of the biggest misconceptions of AI and a new AI metric data tool. Using AI to track data improves performance. Takeaways:The biggest misconceptions about AI are:AI can wo
Tags: Analytics, AI, Big Data
Artificial Voice Intelligence - Maxim Serebryakov - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 029
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April 24, 2023
Today’s guest is Maxim Serebryakov, Co-Founder and CEO at Sanas. Max joins Seth Earley and Chris Featherstone and shares what influenced him to start his company. Max discusses what it was like to study artificial intelligence at Stanford and how it created a broad perspective on how things work.
Tags: Analytics, AI, Big Data
Human Connection with AI - Michael Todasco - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 028
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April 10, 2023
Today’s guest is Michael Todasco write extensively about Generative AI. Mike joins Seth Earley and Chris Featherstone to discuss all things generative AI and why people should embrace AI. He also shares valuable advice on how to build a better connection with your customers.Takeaways:While he wa
Tags: Analytics, AI, Big Data
Machine Learning and Algorithms - Gordon Hart - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 027
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March 27, 2023
Today’s guest is Gordon Hart, Co-Founder and Head of Product at Kolena. Gordon joins Seth Earley and Chris Featherstone and shares how machine learning algorithms are a challenge from different perspectives. Gordon also discusses the core problem in his company before they turned it around.
Tags: Analytics, AI, Big Data
Human Cognitive Science - Daniel Faggella - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 026
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March 13, 2023
Today’s guest is Daniel Faggella, Head of Research and CEO at Emerj Technology Research. Dan joins Seth Earley and Chris Featherstone and shares how martial arts influenced him to get into artificial intelligence. Dan also discusses what his experience was like with surveillance technology creatio
[Earley AI Podcast] Episode 26: Daniel Faggella Human Cognitive Scienc
Earley
March 13, 2023
Today’s guest is Daniel Faggella, Head of Research and CEO at Emerj Technology Research. Dan joins Seth Earley and Chris Featherstone and shares how martial arts influenced him to get into artificial intelligence. Dan also discusses what his experience was like with surveillance technology creation technology. Dan had a machine that could generate the next 10 slides of your desired moving picture. Be sure to listen in on Dan giving his advice on how you should properly use open AI!
Data Tells the Story - Michelle Zhou - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 025
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February 27, 2023
Today’s guest is Michelle Zhou, Co-Founder and CEO at Juji, Inc. Michelle joins Seth Earley and Chris Featherstone and dives into what proprietary data is and how it can be used correctly. Michelle also discusses the one lesson she has learned is that you have to build a product that can help peop
Incentivizing Technology - Juan Sequeda - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 024
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February 13, 2023
Today’s guest is Juan Sequeda, Principal Scientist at data.world and Co-Host of the Catalog & Cocktails Podcast. Juan joins Seth Earley and Chris Featherstone and shares how to understand the problem that you are trying to solve. Juan also discusses how your company's success should be de
Andy Fitzgerald on IA & Structured Content Design - Episode #23
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December 05, 2022
In this episode, our guest is Andy Fitzgerald and Information Architecture & Content Strategy Consultant.Highlights:1:40 - Getting from Ph.D. in English and Literature in information architecture and knowledge graphs9:23 - Schema.org14:30 - How can we get search to be like "Google"?19:
Peter Voss on the Third Wave of AI - Episode #22
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November 17, 2022
In this episode, Seth and Chris talk with Peter Voss, Founder, CEO, and Chief Scientist at AGI Innovations & Aigo.ai.Highlights:2:58 "Software is quite dumb"3:51 "What is reality?"5:00 Coining the phrase "Artificial General Intelligence" - what it means9:00 On und
Dan Turchin on AI and the Future of Work - Episode #21
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November 11, 2022
In this episode, Seth and Chris talk with Dan Turchin, CEO & Founder of PeopleReign.Highlights:4:30 What drives Dan's mission to impact a billion lives at work? 11:15 Disruption and the future of work17:50 What will happen when people can have a day a week back from automation?20:00 Work wi
Dr. Mark Maybury on innovation and AI - Episode #20
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November 09, 2022
In this episode, Seth and Chris talk with Dr. Mark Maybury, former CTO with Stanley, Black & Decker.Highlights:3:30 Mark's early influences9:10 What he does with his "spare" time - it is planned16:30 His experience at Stanley, Black & Decker - making the elephant dance22:50 Tr
Tags: Analytics, AI, Big Data
Steve Stesney on optimizing enterprise knowledge & data - Episode #19
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November 03, 2022
In this episode, Seth and Chris talk with Steve Stesney, Senior Product and Data Practice Lead at Predictive UX. Highlights:3:30 What is predictive user experience and how did Steve get there?5:30 Grasping disambiguation and the move to graph data18:00 Building trust in the data19:26 Explaining taxo
Tags: Analytics, AI, Big Data
Scott Taylor, the Data Whisperer - Episode #18
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September 01, 2022
In this episode, Seth and Chris talk with Scott Taylor, the "Data Whisperer" about telling stories about data management.Highlights:2:00 Data Whisperer origin story9:30 Translating complex dry material into a story that resonates11:30 Why master data is the most important data and how to h
Henrik Hahn on innovation & strategic business development - Episode #17
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August 29, 2022
In this episode, Seth and Chris talk with Henrik Hahn about driving innovation and change in his role as Chief Digital Offer at global chemical specialty giant, Evonik.Highlights:12:30 Organizational change and culture science14:30 Augmented intelligence vs artificial intelligence20:00 On deciding w
Tags: Analytics, AI, Big Data
Henrik Hahn on innovation & strategic business development - Episode #17
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August 29, 2022
In this episode, Seth and Chris talk with Henrik Hahn about driving innovation and change in his role as Chief Digital Offer at global chemical specialty giant, Evonik.Highlights:12:30 Organizational change and culture science14:30 Augmented intelligence vs artificial intelligence20:00 On deciding w
Jim Iyoob at the intersection of AI and CX - Episode #16
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June 22, 2022
In this episode, Seth and Chris talk with Jim Iyoob about using data and AI to deliver customer experience that matters.Highlights:2:25: Our celebrity guest…Named top 20 influential people to follow on twitter and who has been inducted into the CX Hall Of Fame 8:10: Adding value & being a grea
Tags: Analytics, AI, Big Data
Tom Davenport on Competing on AI - Episode #15
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May 04, 2022
In this episode, Seth and Chris talk with Tom Davenport, author of The AI Advantage How to put the artificial intelligence revolution to work.4:40 On getting started in this space7:47 What is most important today for organizations that are trying to operationalize AI 16:05 How organizations are d
Tags: Analytics, AI, Big Data
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
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
The Secret Power of Collaboration in Data Science - Ben Clinch - Earley AI Podcast with Seth Earley
Earley Information Science
September 08, 2023
Today’s guest is Ben Clinch, Head of Information Architecture for BT Group . Ben joins Seth Earley and Chris Featherstone to the discuss the rapidly evolving world of data science in organization.
How to Get the Best of Commercial and Open Source Large Language Models While Protecting Corporate IP
Earley Information Science
August 23, 2023
In the rapidly evolving world of ChatGPT and Large Language Models (LLMs), businesses are understandably apprehensive. Numerous potential hazards and hurdles exist such as:
Unrealistic expectations of LLMs as a magic solution to managing corporate content without requisite human involvement
Difficulty distinguishing between creative outputs and fabricated responses (hallucinations)
Decisions around training models: balancing usefulness with the threat of exposing trade secrets or other proprietary knowledge
Absence of clear audit trails and citation sources
The risk of generating responses misaligned with company policies or brand image
Potential financial burden of proprietary LLMs and related enterprise software platforms
Transforming Content Management at Silicon Labs: Taming Learning Content Chaos
Earley Information Science
June 07, 2023
Join us for an insightful discussion as we delve into 'Transforming Content Chaos at Silicon Labs.' Understand the crucial role of content and knowledge management in the realm of Generative AI. Silicon Labs is a $1 billion global leader in secure, intelligent wireless technology. The organization faced significant challenges in content usability, traceability, and findability, hindering its internal training workflows and access to critical knowledge assets. We will also discuss the critical role of knowledge and content to Generative AI (ChatGPT, and other LLM powered systems).
Unlocking the Power of Generative AI: The Critical Role of Knowledge Management
Earley Information Science
April 19, 2023
Generative AI is getting all the attention, headlines, and industry hype. Organizations are looking at how it can be used to create better employee and customer experiences by unlocking the potential stored in the vast troves of unstructured data that house knowledge assets.
We will begin by providing an overview of the fundamental concepts and advances in generative AI, followed by an in-depth examination of the importance of knowledge management in developing, implementing, and improving these systems.
We’ll discuss knowledge management approaches for the organization and retrieval of information, how retrieval fits in with content generation, and the challenges and opportunities it presents for the enterprise.
Attendees will leave with practical takeaways for knowledge management strategies and practices. Participants will learn how to optimize the performance of generative AI models and the benefit of building domain-specific content fine-tuned for industry, organization, and even process.
Whether you are an AI practitioner, researcher, or simply interested in the future of artificial intelligence, this webinar offers valuable insights and practical tips to help you stay ahead of the curve in this rapidly-evolving field.
The Knowledge Management Imperative: Why KM Is Essential To AI
Earley Information Science
March 15, 2023
Enterprises are increasingly recognizing the critical need for knowledge management (KM) to power cognitive AI. In fact, KM and AI are two sides of the same coin. Training a chatbot requires the same organized information that we use to train a human. When you engineer knowledge correctly, you serve the needs of people today and prepare for greater automation in the future. In fact, the long term success of the organization will depend on doing just that – especially when the competition builds high functionality bots that will produce lower costs and better customer service. Those without the capability will not be competitive.
In this panel discussion, we’ll discuss examples and approaches that show how KM supports AI and how to ensure the success of your KM initiative.
Demystifying Knowledge Graphs
Earley Information Science
February 15, 2023
In this webinar, we will demystify knowledge graphs and explore their various applications in data discovery, compliance, and governance. We will begin by discussing the basics of knowledge graphs and how they differ from other data representation methods. Next, we will delve into specific use cases for knowledge graphs in data discovery, such as for exploring and understanding large and complex datasets or for identifying hidden patterns and relationships in data.
We will also discuss how knowledge graphs can be used in compliance and governance tasks, such as for tracking changes to data over time or for auditing data to ensure compliance with regulations. Throughout the webinar, we will provide practical examples and case studies to illustrate the benefits of using knowledge graphs in these contexts.
Tags: Analytics, Digital Transformation, Generative AI
Accelerating Product Data Programs with Pre-PIM Software
Earley Information Science
January 11, 2023
Some product information management (PIM) tools make it difficult to change core data models once they have been set up in the system. To avoid costly rework, you can utilize a “pre-PIM” design tool as a PIM accelerator. This class of software allows you to:
Iterate on designs before committing to a PIM architecture
Improve data quality
Collaborate on decision-making and audit trails
Set up metrics around product data and attribute structure
Correlate performance measures with metrics – product data and hierarchy improvements are correlated with user behaviors and outcomes
Integrate governance content prior to PIM load
Decrease reliance on spreadsheets
While some PIM tools include a subset of these functions, they are often lacking in flexibility, functionality, and integration capabilities, especially around product data model and hierarchy design changes.
What is PIM and Why Your Ecommerce Business Needs It
Earley Information Science
December 07, 2022
If you want to deliver a truly personalized product experience and strengthen customer loyalty, a Product Information Management System (PIM) is a must. PIM systems enable the organization and distribution of rich and consistent data to enhance both the customer and employee experience. With intuitive management of complex product information, PIM unites internal teams with better visibility and reporting.
Attend this webinar and learn how PIM can add value to your digital business as you maximize your return on investment. We’ll cover everything you need to know about a successful PIM deployment from centralization of data to syndication of external sources and everything in between.
Tags: Analytics, Customer Experience, Digital Transformation
Knowledge Management and Virtual Assistants: How Large Enterprises are Saving Millions in Operational Costs and Improving Employee Experience
Earley Information Science
November 30, 2022
In this new world, no employees should spend time struggling to get basic information and questions answered – especially about IT and HR systems and benefits. Virtual Assistant capabilities continue improving as they are trained on large numbers of support and trouble ticket data. While recognizing user intent is critical, equally important is having the information that employees and customers need to solve the problem once their problem and objective is understood.
This means that the knowledge to power such interactions is available and in the correct format for retrieval. However, many organizations have incomplete, inconsistent or missing knowledge and therefore need to build the correct foundation to make these programs a success.
In this session, Earley Information Science, with partner PeopleReign, will show how these programs can rapidly produce measurable results in weeks rather than months and years. While large-scale knowledge problems cannot be solved overnight, by focusing on narrow AI with clearly defined processes and curated knowledge, organizations can see ROI in as little as 30 days.
We will discuss how to approach internal and external support use cases, measure baselines, project ROI, and quickly build a knowledge architecture that can produce short-term results while building the foundation for expanding to broader organizational knowledge problems.
Tags: Analytics, Customer Experience, Digital Transformation
How Successful B2B Brands Deliver Next-Level Digital Experiences
Earley Information Science
October 26, 2022
The Digital Experience Platform (DXP) is an emerging technology that is essential for taking B2B ecommerce to the next level of performance. A DXP serves as the glue that integrates multiple digital systems (customer, product, content platforms) in a way that maximizes the customer experience and the revenue value of their shopping activities.
Like any eCommerce platform, a DXP will realize an accelerated return on investment when an Information Architecture (IA) composed of taxonomies, ontologies, and knowledge graphs serves as the foundation for a more robust and scalable platform. This webinar will discuss the synergy of an industry leading DXP, Bloomreach, powered by a comprehensive IA to deliver enterprise class B2B eCommerce.
Unlock the Value of Data Discovery Using Knowledge Graphs and Hybrid AI
Earley Information Science
September 28, 2022
Successful knowledge management, risk management and process automation initiatives use Knowledge Graphs and Text Analytics for data discovery to extract value from documents and transform them into actionable insights and data.
Knowledge Graphs aka Semantic Networks are the bedrock of an organization’s Information Architecture - modeling an organization’s products, services and people. Such semantic approaches, leveraging Natural Language techniques, have been the backbone of Text Analytics. Recently, advances in Machine Learning (ML) are augmenting such traditional approaches to create Hybrid AI.
Tags: Analytics, Digital Transformation, Emerging Technology
Powering Personalized Search with Knowledge Graphs
Earley Information Science
July 20, 2022
Transforming Legacy Faceted Search into Personalized Product Discovery
The latest in e-commerce trends is the transformation of legacy faceted search into a more personalized experience. By applying semantic reasoning over a knowledge graph, contextual information about a customer can be combined with product data, delivering relevant search results tailored to them.
In this session we're teaming up with Oxford Semantic Technologies to cover this important topic in two segments:
First half for executives:
Why personalized search is an essential e-commerce ingredient
Demystify the process of implementing a more personalized product discovery experience for your customers
Second half for data strategists:
The data modeling required to build knowledge graphs for successful personalized search.
Real-world examples and the steps you can take to get started.
Tags: Analytics, Digital Transformation, Emerging Technology
Building An AI-Powered Enterprise - Foundations
Earley Information Science
May 25, 2022
In the first webinar of this series we’ll establish the formula for AI success: AI-Powered solutions are only as good as the data that fuels them. Successful AI requires a semantic data layer built on a solid enterprise information architecture. We’ll demystify this topic for executives and provide actionable advice for data strategists.
The Knowledge Management Imperative: Why KM is Essential to AI
Earley Information Science
April 27, 2022
Enterprises are increasingly recognizing the critical need for knowledge management (KM) to power cognitive AI. In fact, KM and AI are two sides of the same coin. Training a chatbot requires the same organized information that we use to train a human. When you engineer knowledge correctly, you serve the needs of people today and prepare for greater automation in the future. In fact, the long term success of the organization will depend on doing just that – especially when the competition builds high functionality bots that will produce lower costs and better customer service. Those without the capability will not be competitive.
In this panel discussion, we’ll discuss examples and approaches that show how KM supports AI and how to ensure the success of your KM initiative.
How To Assess & Evaluate Your Marketing Technology Stack
Earley Information Science
March 23, 2022
You made investments in marketing technology in order to improve customer experience. But, are they yielding the desired results? Are customers measurably happier? Do internal processes move more smoothly?
As marketing technologies are deployed over time, the stack can grow increasingly complex and siloed. It is easy to start to lose track of what you have, who is using it, what is working and what isn't.
It's never too late to disentangle the mess and strengthen the connections in your marketing technology stack. The first step is understanding which tools are the most important in order to decide what to keep and what to discard.
Tags: Digital Transformation, Emerging Technology, Marketing
How to Instrument KPIs Throughout the Customer Journey
Earley Information Science
February 23, 2022
You're probably using metrics to determine if your marketing programs are effective. But, have you selected the right metric at each stage of the customer journey? Which ones connect to your strategic goals?
In this session Seth Earley and Allison Brown talk about how each stage of the journey can be instrumented to use feedback from course corrections to further improve the process.
First Party Data MANAGING AND MONETIZING THE “DATA EXHAUST” FROM YOUR MARTECH STACK
Earley Information Science
January 26, 2022
Understanding, anticipating and responding to the wants, needs and behaviors of your customer is the competitive battlefield of 2022.
However, with new limitations and regulations regarding second and third-party data and tracking cookies, marketers, digital leaders and ecommerce executives have to consider their own methods of collecting and acting upon the data they gather about customers.
In this webinar Seth Earley will talk with industry experts about how you need to model, collect, normalize, organize, manage, analyze, and act on customer information. The time to do so is now and we’ll discuss practical ways to move the needle on customer data, customer analytics and orchestration of the customer experience.
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
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.
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.
Hybrid AI will be the focus for organizations operationalizing machine learning in 2023
Date : November 04, 2022
Symbolic AI was the focus for machine learning in early days of AI but fell into disfavor as statistical approaches improved and technology evolved to deal with newly available data sources. Statistical approaches can only go so far and knowledge representation (symbolic AI) is needed - especially for the "last mile" of cognitive AI - digital assistants, virtual agents and high functionality chatbots. Chatbots are a channel and this class of tool is only as good as the data, knowledge and content. For data intensive statistical approaches, a reference architecture in the form of an ontology will also improve machine learning capabilities. Hybrid AI marries statistical and symbolic AI - knowledge representation with machine learning
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Accelerating Data and Analytics Capabilities Age of Generative AI: How Governance is a Key Enabler
How to Successfully Test and Deploy a ChatGPT-Type of Application
What ChatGPT and Generative AI Mean for Digital Transformation
[RECORDED] Master Data Management & Personalization: Building the Data Infrastructure to Support Orchestration
Conversation with ChatGPT on Enterprise Knowledge Management
The Future of Bots and Digital Transformation – Is ChatGPT a Game Changer?
Innovation with Utility in Mind - What’s Ahead for 2023
[January 11] How to Use Software to Accelerate Product Data Design, Optimization and Metrics Driven Decision Making
Making the Best of AI – What Executives Need to Know
Making the best of AI - What Executives Need to Know
How to Navigate the 5 Stages of Organizational Maturity in Digital Transformation
What is Hybrid AI? An Approach for Data Discovery
Removing Friction from Information Flows: Vital for a Successful Digital Transformation
Knowledge Graphs, a Tool to Support Successful Digital Transformation Programs
The Coming Tsunami of Need — Knowledge Management for Artificial Intelligence
Verizon’s Digital CX Transformation: 6 Fails (and Fixes) for One Customer
2022 The Year of Enabling Deeper Human Connections Through Technology
Large Scale Digital Transformations — What to Do When the CEO Says “Just Make It Work”
Personalization of Product Hierarchies: 3 Data-Driven Approaches
10 Tips to Overcome Obstacles of AI-Enabled Digital Transformation
The Missing Ingredient to Digital Transformation: Scaling Knowledge Communities and Processes
ROI of Digital Transformation: Balancing Long-Term Vision and Short-term Impact
Digital Transformation and the Role of the Customer Data Platform (CDP)
Is Your Data Infrastructure Ready for AI?
Are Chatbots a Good Place to Start Your Enterprise AI Initiative?
The AI Powered Enterprise
Earley Information Science
Using the Customer Journey to Optimize the Marketing Technology Stack
269 The AI-Powered Enterprise: How to Make Your Business Smarter, Faster, and More Profitable with Seth Earley, CEO Earley Information Science | Partnering Leadership AI Global Thought Leader
Seth Earley’s advice on going from taxonomy to ontology and beyond…
The Holy Grail of AI
Taking Control of your Data: How Knowledge Graphs Help to Optimize your Business
The Secret Power of Collaboration in Data Science - Ben Clinch - Earley AI Podcast with Seth Earley - Episode 33
[Earley AI Podcast] Episode 32: Glenn Gow
Human Cognitive Science - Daniel Faggella - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 026
[Earley AI Podcast] Episode 26: Daniel Faggella Human Cognitive Scienc
Data Tells the Story - Michelle Zhou - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 025
Incentivizing Technology - Juan Sequeda - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 024
Andy Fitzgerald on IA & Structured Content Design - Episode #23
Peter Voss on the Third Wave of AI - Episode #22
Dan Turchin on AI and the Future of Work - Episode #21
Scott Taylor, the Data Whisperer - Episode #18
Henrik Hahn on innovation & strategic business development - Episode #17
Michael Schrage on Recommendation Engines - Episode #14
Stephanie Lemieux on Taxonomy & Information Architecture - Episode #13
The Secret Power of Collaboration in Data Science - Ben Clinch - Earley AI Podcast with Seth Earley
Enterprise AI World
