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Seth Earley
CEO at Earley Information Science
Carlisle, United States
An expert with 25+ years’ experience in Knowledge Strategy, Data and Information Architecture, AI Powered Search Applications using Retrieval Augmented Generation (RAG) and Information Findability solutions. Seth Earley 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. 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, Journal of Applied Marketing Analytics, and he co-authored “Practical Knowledge Management” from IBM Press.
Seth is author of the award-winning book The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster and More Profitable.
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
AI Won’t Save You: Why Most Enterprises Fail with Large Language Models (And How You Can Win)
Everyone’s talking about ChatGPT and Large Language Models (LLMs) like they’re the silver bullet for business transformation. Spoiler alert: they’re not. Without the right data and information architecture, your AI initiatives will crash and burn—fast. In this no-BS session, Seth Earley pulls back the curtain on what executives really need to know before they throw money at the latest AI trend. Drawing from 25+ years of consulting for Fortune 1000 companies, Seth reveals the dirty little secret of AI: it’s only as good as the knowledge infrastructure you build beneath it. He’ll share real-world examples of companies that got it right (and those that didn’t), showing how AI can drive massive efficiency, boost revenue, and even save hundreds of millions—if you do it right. Want to avoid becoming the next cautionary tale? This is the session for you.
Digital Transformation is Dead: The New Playbook for AI-Driven Business Growth
Let’s be honest: digital transformation has become a meaningless buzzword. Everyone claims they’re doing it, but most are just spinning their wheels—burning through budgets with flashy tech and seeing zero ROI. Seth Earley is here to flip the script. In this provocative talk, he’ll show you why traditional transformation strategies fail and how to pivot to an AI-first approach that delivers real business impact. Forget the hype about self-driving cars and sci-fi chatbots—this is about using AI to solve your real-world problems, from cutting operational costs to supercharging customer engagement. Seth will walk you through a practical roadmap for AI success, including how to build a data foundation that actually works and how to align your AI initiatives with business goals that matter. Ready to ditch the buzzwords and get serious about growth? This session will show you how.
Knowledge is Your Secret Weapon: The Hidden Key to AI Success No One Talks About
Everyone’s obsessed with AI’s shiny front-end features—chatbots, virtual assistants, generative models. But here’s the truth: without the right knowledge structures behind the scenes, your AI is just an expensive toy. In this high-energy session, Seth Earley reveals the critical piece of the AI puzzle that 90% of organizations overlook: knowledge engineering. It’s not sexy, but it’s the difference between AI that delivers results and AI that flops. Seth will share a battle-tested strategy for building a “knowledge factory” that feeds your AI the structured, high-quality data it needs to thrive. You’ll learn how to break down complex business problems into solvable data challenges, build scalable knowledge models, and integrate continuous learning processes that keep your AI sharp. If you want to stay ahead of competitors, reduce costs, and deliver better customer experiences, this is the session you can’t afford to miss.
A Roadmap for Sustainable AI Success—The Power of Knowledge Architecture
Earley
May 13, 2025
Generative AI—particularly large language models (LLMs)—promises dramatic improvements in customer engagement, content discovery, and decision support. Yet beneath the surface of these high-profile use cases, one foundational element often goes overlooked: knowledge architecture. In simple terms, knowledge architecture is how you organize and structure the critical concepts, relationships, and governance rules that define your enterprise. It’s the difference between an AI system that randomly generates answers and one that provides relevant, trustworthy, and explainableresponses.
Why Generative AI Projects Fail and How Business Leaders Can Turn the Tide
CustomerThink
March 28, 2025
Many generative AI (GenAI) initiatives fall short because organizations misjudge the technology’s readiness and fail to align projects with business outcomes. This article explores the most common reasons GenAI projects stall: immature data infrastructure, lack of use case clarity, and limited understanding of how GenAI integrates into existing workflows. For digital leaders, success starts with disciplined scoping, structured data foundations, and a robust knowledge architecture that grounds GenAI in business context. With the right governance and operational alignment, GenAI can improve decision velocity, augment customer-facing processes, and scale internal expertise—turning early experimentation into meaningful business value.
Beyond the AI Hype: Making Generative AI Actionable for Enterprises
Cognitive World
March 25, 2025
Many organizations are exploring generative AI, but few are realizing its full potential. Moving beyond pilots requires more than just powerful models—it demands a foundation of structured knowledge, strong information architecture, and a clear link to business value.
This article offers practical guidance for enterprise leaders on how to shift from experimentation to execution, avoid common missteps, and build scalable AI strategies that drive meaningful outcomes.
The Reality of Generative AI: From Buzz to Business Transformation
VKTR
January 23, 2025
Generative AI is more than just a buzzword—it's a transformative force reshaping how businesses operate. From enhancing automation to creating personalized customer experiences, this technology offers immense potential. However, implementing it effectively comes with unique challenges. This article delves into the practical realities of generative AI, explores its groundbreaking applications, and provides actionable insights to help businesses harness its power for sustainable growth and innovation.
6 Steps to Build a Future-Proof Knowledge Architecture for Generative AI
Customer Think
January 23, 2025
Generative AI, especially large language models (LLMs), has quickly moved from an experimental technology to a business-critical solution. As organizations explore leveraging these advanced AI capabilities — whether for customer service, knowledge management, or decision support — they often encounter a common stumbling block: the need for a well-designed knowledge architecture. Without this essential foundation, even the most powerful LLM can produce inconsistent, inaccurate, or confusing results.
Navigating a New Frontier: Vendor Strategies in the Era of Generative AI
VKTR
January 07, 2025
Discover how generative AI is transforming enterprise search and reshaping vendor strategies in the era of AI-driven innovation. This article explores the groundbreaking ways AI enhances automation, streamlines operations, and creates personalized customer experiences, offering unprecedented opportunities for growth. It also highlights the challenges businesses face when adopting these advanced technologies and provides actionable insights on how to successfully navigate this new frontier. Whether you’re looking to stay ahead of the curve or understand the competitive advantages AI can bring, this article offers a compelling roadmap for the future.
Is My AI Lying to Me? Ensure Accuracy with Retrieval-Augmented Generation
VKTR
December 04, 2024
Dive into how Retrieval-Augmented Generation (RAG) is changing the game for generative AI, reducing errors, and boosting accuracy. This article breaks down how RAG works, why it matters, and how organizations can use it to improve real-world applications like chatbots, search engines, and knowledge management. Discover practical tips to make your AI more reliable and effective.
Future of Search: How Generative Engine Optimization Is Transforming Digital Marketing and SEO
VKTR
November 18, 2024
Discover how generative AI is reshaping the future of digital marketing and SEO in our latest article. Explore the evolution of search engines with AI-powered personalization, hybrid generative and traditional search methods, and advanced content strategies. Learn best practices to optimize your content for these cutting-edge technologies and understand how they’re transforming user expectations and business opportunities.
Embracing Generative Engine Optimization (GEO): A Strategic Guide for Digital Marketers and Business Leaders
CustomerThink
November 06, 2024
The rapid evolution of AI has redefined digital marketing. Traditional search engine optimization (SEO), once focused on keywords and backlinks, is now giving way to Generative Engine Optimization (GEO). GEO prioritizes context, multimedia-rich content, and question-answer formatting to meet the needs of AI-driven search engines that deliver results directly on the search page. This shift poses unique challenges and opportunities for digital marketers and business leaders who must adapt to stay competitive. In this article, we delve into the key principles, strategies, and best practices of GEO to help brands enhance visibility and relevance in a world of zero-click searches.
Digital Transformation, Corporate Data and Gen AI: LLMs and the Challenge of Retrieval
CustomerThink
August 23, 2024
Explore how Gen AI boosts digital transformation by enhancing information flows. However, its true value lies in tailoring it to proprietary contexts, not just general models.
Ignore AI Fearmongering and Start by Improving Data Quality
CustomerThink
July 23, 2024
Organizations should use LLMs and Gen AI to improve data for AI transformation, not rush into AI adoption. The real issue is data quality, not just AI.
BioIT World - How to Get the Best of Commercial and Open-Source Large Language Models While Protecting Corporate IP - Workshop Notes Processed by LLM
LinkedIn
May 05, 2024
My colleague Chesley Chen assisted with note taking at the workshop we delivered at BioIT World and used ChatGPT to summarize. Here is the result.
The Critical Role of Enterprise Data in Generative AI
CustomerThink
February 06, 2024
A huge number of Gen AI-based tools and applications have flooded the market. Some of these applications are clever and creative but they are mostly wrappers for the large language models (LLMs) behind applications such as ChatGPT. That is not to detract from the thousands of potential scenarios where an LLM’s knowledge of language, concept, and word relationships provides new efficiencies and productivity.
But LLMs and ChatGPT cannot solve all of information the problems of the organization. Machine learning is at the core of AI applications. Conventional tools in the enterprise tech stack (such as ERP, data warehouses, eCommerce, and content/knowledge management) are increasingly incorporating machine learning into core functionality.
Accelerating Data and Analytics Capabilities Age of Generative AI: How Governance is a Key Enabler
Enterprise Viewpoint
September 11, 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.
The Critical Element of Foundational Architecture
Earley Information Science
September 13, 2023
Recently I chaired the Artificial Intelligence Accelerator Institute Conference in San Jose – in the heart of Silicon Valley. The event has brought together industry innovators from both large and small organizations, providing a wide range of perspectives. For example, the CEO of AI and ML testing startup of Kolena, Mohamed Elgendy and Srujana Kaddevarmuth, Senior Director, Data & ML Engineering, Customer Products, Walmart Global Tech discussed productization of AI solutions and ways to increase adoption. I especially liked the idea of a model catalogue from which data scientists can retrieve data sets and machine learning models that others have built rather than starting from scratch.
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.
Scaling Generative AI for Value: Data Leader Agenda for 2025
Harvard Business Review
November 20, 2024
Scaling Generative AI for Value: Insights from Seth Earley
The Harvard Business Review article Scaling Generative AI for Value: Data Leader Agenda for 2025 explores how organizations can maximize the potential of generative AI through effective data strategies, governance, and scalable solutions.
Featuring insights from Seth Earley, a leading expert in knowledge strategy and data architecture, the article highlights the importance of robust data foundations and innovative approaches for integrating AI into business processes. Seth shares his perspective on how companies can unlock value and drive impactful outcomes with generative AI.
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.
Earley AI Podcast - Episode 68 - Composable Intelligence: Rethinking Customer Data with Seth Earley and Abhi Yadav
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June 18, 2025
In this episode of the Earley AI Podcast, host Seth Earley sits down with Abhi Yadav, founder of iCustomer AI—a cutting-edge composable decision intelligence company. With a deep background in enterprise technology, Abhi pioneered the Customer Data Platform (CDP) category and is now leading innova
Tags: Analytics, AI, Big Data
Earley AI Podcast Episode 67: How AI Is Transforming Software Engineering With Yang Li of Cosine
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May 29, 2025
In this episode of the Earley AI Podcast, host Seth Earley sits down with Yang Li, a leading figure in AI and software innovation. Yang is the Chief Operating Officer of Cosine, an advanced AI development firm, with deep experience driving startups, scaling organizations, and pioneering advancements
Tags: Analytics, AI, Big Data
Earley AI Podcast Episode 66: Reengineering Knowledge for the AI Era
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May 09, 2025
In this episode of the Earley AI Podcast, host Seth Earley sits down with industry analyst and advisor Tony Baer, a seasoned expert in data, cloud, and analytics. With decades of experience guiding global tech leaders like AWS and Oracle, Tony brings a nuanced perspective on how knowledge engineerin
Tags: Analytics, AI, Big Data
Earley AI Podcast Episode 65: David Hartley and Dave Blatt - Turning AI Hesitancy into Opportunity
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April 02, 2025
In this episode of the Earley AI Podcast, host Seth Earley welcomes two insightful guests from Anders, a top 100 CPA firm: David Hartley and Dave Blatt. David Hartley is a seasoned CPA with a profound understanding of the synergy between finance and technology. He advocates for how AI can enhance tr
Tags: Analytics, AI, Big Data
Earley AI Podcast - Episode 65: David Hartley and Dave Blatt - Turning AI Hesitancy into Opportunity
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April 02, 2025
Earley AI Podcast Episode 64: Understanding AI: From Misconceptions to Effective Product Mindset
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March 07, 2025
In this episode of the Earley AI Podcast, we welcome guest, Jack Lampka, an accomplished advisor and speaker with over 27 years of experience in corporate roles within the tech and pharma sectors. Now based in Munich, Germany, Jack specializes in enhancing data storytelling and cultivating a product
Tags: Analytics, AI, Big Data
[Earley AI Podcast] Episode 63: Revolutionizing CRM with AI: Insights from Adam Honig
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February 26, 2025
Join Seth Earley on Earley AI Podcasts as he welcomes Adam Honig, a pioneering force in the field of customer relationship management (CRM). As the founder of Spiro AI, Adam challenges the conventional need for CRM systems by offering an innovative AI-driven alternative. With a rich history of build
Tags: Analytics, AI, Big Data
Earley AI Podcast - Episode 62 Navigating Aspirational AI: Brian Magerko on Creativity, Ethics, and Technology in 2025
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February 24, 2025
In this episode, Seth Earley is joined by Brian Magerko, a professor of digital media at Georgia Institute of Technology and a pioneer in applied AI and computer-human interaction. Brian shares his journey through the academic realm and his fascinating experiences, including co-founding EarSketch, a
Tags: Analytics, AI, Big Data
Earley AI Podcast - Episode #61 Featuring Don Gossen: Advanced AI and Blockchain Integration for Decentralized Energy Networks
Earley Information Science
January 29, 2025
In this episode, hosts Seth Earley and Chris Featherstone are joined by Don Gossen to explore the transformative potential of AI and blockchain in decentralized energy networks. This episode explores how AI and blockchain technologies work together to optimize energy consumption, secure transactions, and drive innovation in local energy management. Don shares real-world case studies showcasing the impact of AI-driven IoT solutions, from reducing costs to enabling energy sovereignty in European markets.
Earley AI Podcast - Episode #60 Optimizing Search and Security: Insights from John Lenker on AI and Data Governance
Earley Information Science
October 31, 2024
In this episode, hosts Seth Earley and Chris Featherstone are joined by John Lenker, an accomplished expert in enterprise search and data governance. John, who has presented to technology leaders like the CTO of NASA and the CIO of the Marshall Space Center, shares his extensive knowledge and experiences from working with leading companies. Currently engaged with Big ID, John delves deep into the evolving landscape of search technologies, data security, and enterprise-specific solutions.
Earley AI Podcast - Episode #60 Optimizing Search and Security: Insights from John Lenker on AI and Data Governance
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October 31, 2024
In this episode, hosts Seth Earley and Chris Featherstone are joined by John Lenker, an accomplished expert in enterprise search and data governance. John, who has presented to technology leaders like the CTO of NASA and the CIO of the Marshall Space Center, shares his extensive knowledge and experi
Tags: Analytics, AI, Big Data
The Earley AI Podcast with Seth Earley - Episode #58 AI-Driven Manufacturing: Sahitya Senapathy Talks Data, Analytics and Technology Trends
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October 28, 2024
In this episode of the Earley AI Podcast Sahitya Senapthy, Founder and CEO of Endeavor, joins us for an episode filled with rich discussions on AI, data management, and the intriguing paths of technological advancement in industrial manufacturing. Sahitya's career has spanned work with the US A
Tags: Analytics, AI, Big Data
The Earley AI Podcast with Seth Earley - Episode #57 Understanding AI and Data Readiness with Camden Swita
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October 28, 2024
In this episode of the Earley AI Podcast Camden Swita, the Head of AI and ML Innovation at New Relic, joins us for an insightful discussion on the transformative role of AI in modern technology. With a rich background spanning journalism, product management, and cutting-edge AI/ML initiatives, Camde
Tags: Analytics, AI, Big Data
Earley AI Podcast - Episode #59 Exploring AI Limitations and Future Potential with Ron Green
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October 28, 2024
In this episode of the Earley AI Podcast Ron Green, Founder of KUNGFU.ai joins host Chris Featherstone. Ron's expertise spans over 25 years in artificial intelligence and machine learning. Starting his journey in computer science during the early days of AI, he has witnessed and contributed to
Tags: Analytics, AI, Big Data
[Earley AI Podcast] Episode 58: Sahitya Senapathy
Earley
October 18, 2024
In this episode of the Earley AI Podcast Sahitya Senapathy, Founder and CEO of Endeavor, joins us for an episode filled with rich discussions on AI, data management, and the intriguing paths of technological advancement in industrial manufacturing. Sahitya's career has spanned work with the US Air Force, AWS, and Palantir.
The Earley AI Podcast with Seth Earley - Episode #56 David Marra on AI's Impact on Financial Services and Investment Strategies
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October 11, 2024
In this episode of the Earley AI Podcast we are joined by guest David Marra a seasoned expert in AI-driven investment strategies and founder of Marken Asset Management. David brings invaluable insights into the transformative potential of AI, particularly in complex payroll workflows, ERP systems, a
Tags: Analytics, AI, Big Data
Earley AI Podcast Episode 55 - Staying Secure in a Digital Age: Yuri Dvoinos Discusses Data Privacy
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October 04, 2024
In this episode of the Earley AI Podcast we are joined by guest Yuri Dvoinos, the Chief Innovation Officer at Aura, a leading cybersecurity company based in Boston. With an extensive background in information security, AI applications, and data privacy, Yuri brings a wealth of knowledge on how to pr
Tags: Analytics, AI, Big Data
Earley AI Podcast - Guest Jason Radisson
LinkedIn
September 08, 2024
This episode of the Earley AI Podcasts features Jason Radisson, an expert in digital transformations who has worked with renowned companies such as McKinsey, eBay, and Uber.
The Earley AI Podcast with Seth Earley - Episode #53- Insights into Data Science and AI Validation from Expert Bartek Roszak
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September 06, 2024
In this episode of Earley AI Podcasts, we welcome Bartek Roszak, an expert in artificial intelligence and data science. With a career starting as an equity trader and evolving to lead AI strategy and implementation at STX Next, Bartek brings deep insights into the world of AI-driven trading and data
Tags: Analytics, AI, Big Data
The Earley AI Podcast with Seth Earley - Episode #54 Demystifying AI for Business Leaders: Insights from Tobias Zwingmann
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September 06, 2024
In this episode of the Earley AI Podcast guest Tobias Zwingmann, an esteemed analytics and AI expert from Hanover, Germany, brings a wealth of experience from his work with SaaS platforms and consulting, and he shares invaluable insights on the practical intricacies of AI in business.Join our hosts
Tags: Analytics, AI, Big Data
The Earley AI Podcast with Seth Earley - Episode #52- Human Touch in AI: Nick Usborne on Emotional Intelligence in Marketing
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August 19, 2024
In this episode of Earley AI Podcasts, we are joined by Nick Usborne, a veteran copywriter with over four decades of experience and an advocate for the sophisticated use of generative AI in human-centric communication. Nick provides a wealth of insights into the pitfalls and potentials of integratin
Tags: Analytics, AI, Big Data
The Earley AI Podcast with Seth Earley - Episode #51 -Transforming the Workplace: Insights from Jason Radisson on AI and Gig Economy
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August 14, 2024
This episode of the Earley AI Podcasts features Jason Radisson, an expert in digital transformations who has worked with renowned companies such as McKinsey, eBay, and Uber.Tune in as Jason shares his insights on the misconceptions surrounding AI startups and the importance of having a quality team
Tags: Analytics, AI, Big Data
AI, Knowledge Management, and Navigating the Hype with Daniel Cohen-Dumani - The Earley AI Podcast with Seth Earley - Episode #050
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August 07, 2024
With extensive experience in AI and machine learning dating back to 1998, Cohen-Dumani brings valuable insights into the historical and present-day landscape of AI, emphasizing the importance of foundational knowledge, expertise, and knowledge management in making AI work effectively within organiza
Tags: Analytics, AI, Big Data
AI's Transformative Power and Its Limitations with Alex Gurbych - The Earley AI Podcast with Seth Earley - Episode #049
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August 07, 2024
A tech innovator with profound expertise in AI and its applications, our guest Alex Gurbych joins us with rich insights into how AI integrates into varying industries. Alex has extensive experience addressing the challenges and potentials of AI, especially in legacy systems and organizations.Tune in
Tags: Analytics, AI, Big Data
The Power of Visualization in AI: From Compliance to Finance with Bob Levy - The Earley AI Podcast with Seth Earley - Episode #048
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May 21, 2024
Seth Earley and Chris Featherstone are joined by special guest Bob Levy. Bob Levy, Founder and CEO of Immersion Analytics, brings a wealth of experience in technology and data visualization, having worked with top companies such as IBM, Rational Software, and Mathworks. He shares his profound insigh
Unlocking Gen AI’s Potential by Strengthening Data and Organizational Readiness
Harvard Business Review
May 06, 2024
In this report published in Harvard Business Review Analytic Services, the full spectrum of AI readiness is covered. Through interviews with industry experts and practical implementers, it serves as an empirical guide for navigating the world of AI. Beyond technology, the report delves into organizational considerations, fundamental operating models, and governance approaches emerging in companies with advanced AI maturity.
The article explores the rapid rise of generative AI (gen AI) and its impact on businesses, highlighting both the potential and challenges associated with its adoption.
Stories of AI Impact on Real Peoples’ Lives and Livelihoods: The AI Gift that Keeps on Giving
Earley Information Science
January 22, 2025
Discover how AI is transforming the workplace and beyond in this insightful webinar. Our experts explore the potential of AI to enhance productivity, drive innovation, and support better decision-making, while addressing critical issues like ethics, inclusivity, and equitable access. Learn practical strategies for leveraging AI responsibly, and get inspired with actionable insights to stay ahead in an AI-driven world.
AI's Role in Productivity
AI tools can significantly increase efficiency in work processes, helping users accomplish tasks much faster and with greater accuracy, much like how personal computers revolutionized productivity in the 80s and 90s.
Empowering Decision-Making and Creativity
By partnering with AI, individuals can leverage its capabilities to make more informed decisions, boost creativity, and enhance problem-solving—AI acts as a powerful assistant rather than just a tool.
Human Oversight in AI-Generated Results
While AI can automate complex tasks, it still requires human oversight to ensure the outcomes align with expectations and to fix any issues or inaccuracies that arise.
Ethical Use of AI in Organizations
Leadership plays a crucial role in setting guidelines for ethical AI use within organizations. Implementing strong governance frameworks ensures AI is used responsibly and aligns with organizational values.
Closing the Gender and Diversity Gap
AI adoption is lower among women, especially in high-achieving roles. To bridge this gap, it's essential to encourage a more inclusive environment where diverse voices guide AI’s development and use.
The Future of AI in Education and Business
AI’s potential to democratize education and empower self-learning is immense. For businesses, it can streamline internal processes and unlock new efficiencies, but how organizations choose to implement it will determine its success and impact.
Vendor AI Strategies and Challenges: Lucidworks, Coveo, Sinequa, and Squirro
Earley Information Science
December 04, 2024
Generative AI has changed the search business. Delve into the impacts this has had on search vendors as they have adapted to the new LLM world order. Hear directly from several leading search vendors who will discuss how the evolving marketplace has impacted individuals at these organizations and how their jobs and careers have taken an unexpected turn. This is less about hearing about features and functions and more about understanding the human impact on the people who are leading the charge in bringing these emerging technologies to the marketplace. We are all facing major changes in how we work and how we adapt to changing business realities. (Much more compelling than a sales pitch :-) )
The Practical Reality of AI and Large Language Models (LLMs) in Transforming Business Operations
Earley Information Science
November 20, 2024
Explore the intersection of AI and large language models in transforming business operations. Discuss real-world applications, from automating customer service to enhancing decision-making processes. Examine the implications for various industries, and how LLMs can drive competitive advantages. Emphasize the need for accurate data integration to avoid hallucinations and ensure reliable outputs.
Is my AI Assistant Lying to Me? Accuracy in Generative AI
Earley Information Science
November 06, 2024
Is My AI Assistant Lying to Me? Ensuring Accuracy in Generative AI for High-Stakes Decisions
Join AI and data experts as they reveal how companies are tackling data lag and ensure reliable AI outputs.
In a world where AI assists in critical business decisions, accuracy isn’t optional. Yet, data lags and outdated information can disrupt strategies, making real-time relevance essential for companies. This webinar dives into the practical solutions leading companies use to bridge these data gaps, including Retrieval Augmented Generation (RAG) for up-to-date, reliable AI results.
Generative Engine Optimization (GEO): Revolutionizing SEO for the Future
Earley Information Science
October 23, 2024
Dive into the emerging concept of Generative Engine Optimization (GEO) and its significance in the age of AI. Discuss how GEO diverges from traditional Search Engine Optimization (SEO) by focusing on optimizing content for generative question-answer formats rather than keyword-based searches. Understand the strategies for businesses to stay ahead in this evolving landscape and the implications for digital marketing practices.
Product and eCommerce Search
Earley Information Science
October 09, 2024
This webinar explores how generative AI is revolutionizing e-commerce by improving user experiences with conversational search, faster response times, and personalized interactions. It covers the benefits of fine-tuning domain-specific models for tasks like brand recognition and query segmentation, and highlights how Retrieval-Augmented Generation (RAG) enhances search accuracy by indexing products into vector spaces for more relevant recommendations.
Topics Covered:
Enhancing E-commerce Experience
Fine-Tuning and Domain-Specific Models
RAG in E-commerce (Retrieval-Augmented Generation)
Cost Considerations
Modality Choice
The Impact of Generative AI on Traditional Search Engines: A Deep Dive into OpenAI’s Search GPT
Earley Information Science
September 25, 2024
Generative AI is revolutionizing traditional search engines. In this session, we’ll dive into OpenAI's Search GPT and discuss how it compares to established search giants like Google. We’ll explore the technological, business, and behavioral shifts generative AI is driving.
Agent Based LLM Applications: Separating the Hype from Practical Applications
Earley Information Science
August 21, 2024
There is significant excitement about Large Language Models, but the hype continues to outpace the reality. The latest entry into the AI lexicon that is getting increasing attention is that of agent-based approaches where autonomous agents operate and make decisions without human intervention. While this framework has promise in the future, and some thought leaders project billions of agents operating for organizations and individuals, there are some challenges that current approaches need to overcome before widespread adoption of more ambitious visions of highly functional, safe, reliable “agents for all” can be realized.
Information Governance in the Age of A
Earley Information Science
February 28, 2024
Many Organizations are struggling with the best way to govern and manage the use of Generative AI in the enterprise. There are many dimensions to this challenge ranging from ethical issues, data architecture and quality, legal and copywrite, operational and more.
This is why a governance framework needs to be carefully designed and put into place so the business can make the most use of this truly revolutionary technology, reduce and mitigate risks, control costs, maintain a positive employee and customer experience and most importantly, find competitive advantage in the marketplace.
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.
Retrieval Augmented Generation (RAG) will accelerate adoption of Large Language Model powered ChatGPT-like applications for the enterprise. This will lead to greater adoption due to RAG’s ability to virtually eliminate hallucinations, protect company IP, provide audit trails and traceability and adhere to brand guidelines.
This will require user organizations and vendors to build maturity in knowledge and information architecture methodologies and to leverage ontologies and knowledge graphs as part of enterprise grade AI solutions. It will drive organizations to invest in knowledge operations and to improve unstructured content hygiene. Knowledge will be at the core of successful AI deployments. At a recent Forrester event, analysts and speakers agreed that Retrieval Augmented Generation will have the greatest impact of any AI technology in the enterprise. Gartner had predicted that knowledge management for AI would be the fastest growing and largest area of spend on AI.
Join Thinkers360 for free! Are you a Reader/Writer, Thought Leader/Influencer (looking to increase your earnings), or an Enterprise User (looking to work with experts)?
A Roadmap for Sustainable AI Success—The Power of Knowledge Architecture
Why Generative AI Projects Fail and How Business Leaders Can Turn the Tide
Beyond the AI Hype: Making Generative AI Actionable for Enterprises
6 Steps to Build a Future-Proof Knowledge Architecture for Generative AI
Embracing Generative Engine Optimization (GEO): A Strategic Guide for Digital Marketers and Business Leaders
Digital Transformation, Corporate Data and Gen AI: LLMs and the Challenge of Retrieval
BioIT World - How to Get the Best of Commercial and Open-Source Large Language Models While Protecting Corporate IP - Workshop Notes Processed by LLM
The Critical Role of Enterprise Data in Generative AI
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
The Critical Element of Foundational Architecture
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
[Earley AI Podcast] Episode 58: Sahitya Senapathy
Vendor AI Strategies and Challenges: Lucidworks, Coveo, Sinequa, and Squirro
The Practical Reality of AI and Large Language Models (LLMs) in Transforming Business Operations
Is my AI Assistant Lying to Me? Accuracy in Generative AI
Generative Engine Optimization (GEO): Revolutionizing SEO for the Future
Product and eCommerce Search
The Impact of Generative AI on Traditional Search Engines: A Deep Dive into OpenAI’s Search GPT
Agent Based LLM Applications: Separating the Hype from Practical Applications
Earley AI Podcast - Episode 68 - Composable Intelligence: Rethinking Customer Data with Seth Earley and Abhi Yadav
