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.
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Tags: Analytics, AI, ChatGPT
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.
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Tags: Analytics, AI, ChatGPT
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.
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Tags: Analytics, AI, Big Data
[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:
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Tags: Analytics, AI, Big Data
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.
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Tags: Analytics, AI, Big Data
Making the best of AI - What Executives Need to Know
CXO Outlook
November 01, 2022
AI is a tool in your toolkit, and like any tool, it should not be the focus, but should be in service to the problem that needs to be solved.
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Tags: AI, Analytics, Business Strategy
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?
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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.
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Tags: AI, Big Data, Leadership
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...
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Knowledge Graphs, a Tool to Support Successful Digital Transformation Programs
Customer Think
July 01, 2022
Knowledge graphs are pretty hot these days. While this class of technology is getting a lot of market and vendor attention these days, it is not necessarily a new construct or approach. The core principles have been around for decades. Organizations are becoming more aware of the potential of knowledge graphs, but many digital leaders are puzzled as to how to take the next step and build business capabilities that leverage this technology.
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Tags: AI, Digital Transformation, Emerging Technology
The Coming Tsunami of Need — Knowledge Management for Artificial Intelligence
Customer Think
April 19, 2022
Knowledge management has had a bad rap. For the past few decades, it has gone through cycles of popularity after being introduced in the early 90s, and in some of those cycles, it has been significantly devalued. That is the online incarnation of KM.
Now knowledge management is experiencing something of a revival, as its value in enabling AI is being increasingly recognized.
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Tags: Analytics, AI, Digital Transformation
Verizon’s Digital CX Transformation: 6 Fails (and Fixes) for One Customer
Customer Think
February 18, 2022
To begin with, even though I have updated contact information on this business account on multiple occasions, a lot of the contact information was incorrect. I was greeted by the mobile app as “Linda” — an assistant from several years back — and was repeatedly prompted to certify the device that I was doing this on, and the answers to my “secret questions” were all incorrect (though I had these tracked on a spreadsheet). I was prompted again and again to reset my password and for some reason was prompted to create a new username.
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Tags: AI, Customer Experience, Digital Transformation
2022 The Year of Enabling Deeper Human Connections Through Technology
Earley Information Science
December 14, 2021
2021 was a continuation of an extraordinary time. While the pandemic continued with cycles, waves and variants, businesses and individuals have adjusted and continued to move ahead as best they could. In this blog post, I reflect on the year past and make some predictions about 2022.
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Tags: AI, Digital Transformation, Data Center
Large Scale Digital Transformations — What to Do When the CEO Says “Just Make It Work”
Customer Think
October 26, 2021
A few years back, I was attending an executive presentation of project findings and recommendations for an outdoor products manufacturing company. The project remit was defining the future state digital architecture and a high-level plan to support the organization’s transformation of the customer experience. Our engagement lead had vetted the findings and recommendations with the client’s core team. The core team was excited about the level of detail, the plan’s comprehensiveness, and the consistent architecture across multiple tools that would enable an outstanding customer experience.
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Tags: AI, Digital Transformation, Data Center
Personalization of Product Hierarchies: 3 Data-Driven Approaches
CMSWire
October 21, 2021
Personalization comes in multiple shapes and forms, many of which businesses can put to effective use. But they shouldn't make the mistake of launching all of them at once. An incremental approach works well here. And a good place to start is product hierarchies.
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Tags: AI, Digital Transformation, Data Center
10 Tips to Overcome Obstacles of AI-Enabled Digital Transformation
Customer Think
August 20, 2021
Numerous studies show that large organizations are realizing only limited success in digital transformation projects. For example, BCG and McKinsey research have put success rates in the 30% range. [1][2] The pandemic has accelerated some aspects of digital transformations, since the ability to work remotely required new tools, technology, and infrastructure. However, it is still unclear whether or not that acceleration is leading to the success of transformation efforts beyond the ability to work remotely.
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Tags: AI, Customer Experience, Digital Transformation
The Missing Ingredient to Digital Transformation: Scaling Knowledge Communities and Processes
Customer Think
June 22, 2021
The phrase “digital transformation” can mean anything and everything — tools, technology, business processes, customer experience, or artificial intelligence, and every buzzword that marketers can come up with. Definitions from analysts and vendors include IT modernization and putting services online; developing new business models; taking a “digital first” approach; and creating new business processes, and customer experiences.
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ROI of Digital Transformation: Balancing Long-Term Vision and Short-term Impact
Customer Think
April 14, 2021
Nowhere is the case for metrics stronger than in digital transformations. The most sweeping and comprehensive transformations are the most effective, but the fact that they take place over years and not months means that the full effect is not felt for a long time. Yet the pressures are constant to show ROI for the investments within budget cycles. The key to maintaining support for these initiatives is to link them to improvements in process and outcomes from the very beginning. Short-term wins can then be put into the context of long-term goals, thereby sustaining momentum. Defining what those wins are and providing convincing measurements is essential in launching and maintaining digital transformations.
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Tags: Customer Experience, Digital Transformation, Data Center
Digital Transformation and the Role of the Customer Data Platform (CDP)
Customer Think
February 20, 2021
Digital Transformation (DT) and Customer Data Platforms (CDPs) both entail a great deal of confusing, ambiguous and catch-all terminology that does very little to help prospective buyers make decisions. In fact, it amounts to buzzword soup. The boundaries of digital transformation are vague, and the term seems to mean something different for every company. And despite the undeniable value of having the complete view of the customer that a CDP can provide, the industry does not actually agree on what a CDP is.
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Tags: Customer Experience, Digital Transformation, Data Center
Is Your Data Infrastructure Ready for AI?
Harvard Business Review
April 28, 2020
Creating an ontology is an essential investment to prepare your enterprise to realize the benefits of AI and machine learning. Gone are the days when businesses should simply allow a number of small AI projects to blossom independently: for these projects to be competitive they need to draw on data from across the company, data stored in many different forms in many different systems. An ontology defines these connections in a way that AI can take advantage of. Businesses will be best positioned to build ontologies if they identify and research pain points first–areas where the data connections are most needed–before beginning to set the organizing principles for the ontology itself.
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Tags: AI, Data Center, Digital Transformation
Are Chatbots a Good Place to Start Your Enterprise AI Initiative?
LinkedIn
January 15, 2018
In a ZDNet interview recently Stephen Pratt, CEO of AI solution provider Noodle.ai argued that many companies are starting their AI initiatives in the wrong place—chatbots. Instead, he contends, they should be focusing on enterprise-wide issues such as process optimization and core business operations.
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Lessons from Alexa: Really, There is No AI without IA
LinkedIn
October 23, 2017
I was given an Amazon Echo, Amazon’s cloud based intelligent agent, as a gift and was very excited to connect it and set it up. First, I walked through some of the features – asking about the weather, setting a timer, listening to a radio station, asking about specific facts (like capitals of states or countries, measures, math problems), asking about local movies, getting an NPR “flash briefing” and a few other interesting functions.
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What "Digital Transformation" means to your brand promise.
LinkedIn
October 10, 2017
Data, feedback loops, and electronic body language
Digital transformation as a concept has lost a lot of its meaning and has become a catch-all for many types of information initiatives. What we need to remember is that a digital transformation is about rethinking not only the end-to-end user experience and customer journey, but the entire value chain and the fundamental reason why customers deal with your organization.
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Product Data and the Brand Promise
LinkedIn
March 14, 2017
Digital transformation as a concept has lost a lot of its meaning and has become a catch-all for many types of information initiatives. What we need to remember is that a digital transformation is about rethinking not only the end-to-end user experience and customer journey, but the entire value chain and the fundamental reason why customers deal with your organization. If customers can get products cheaper on Amazon, does that mean you are destined to go out of business? Of course not. Customer loyalty depends on much more than price alone.
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The Coming Bot Craze (and What You Need to Do About It)
LinkedIn
October 11, 2016
At the Opus Research (@opusresearch (link is external)) Intelligent Virtual Assistant Conference in San Francisco this week, I heard from vendors, analysts, gurus, and customers about how the world will be transformed by artificial intelligence, agents, machine learning, intelligent virtual assistants – collectively known as “the Bots.” One of the more entertaining sessions consisted of a panel of venture capitalists, including former Evernote CEO Phil Libin (@plibin (link is external)), Joshua Kauffman, of Wisdom (@joshuakauffman (link is external)), and Sarah Guo of Greylock Partners (@saranormous (link is external)). One of Phil’s comments related to how people think AI will kill humans. He said that is a logical assumption because the AI will be really smart and humans are #$$holes.
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How Companies Are Benefiting from “Lite” Artificial Intelligence
Harvard Business Review
July 19, 2016
Artificial intelligence is hot, but also daunting. The latest advances — known variously as cognitive computing, machine learning, and deep learning — sound complicated and expensive. And they are, despite the enormous potential they bring to the marketplace. For many companies, the price tag and the commitment of resources are too high a hurdle. And for other reasons, even a giant like Apple is facing challenges.
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There Is No AI without IA
IT Pro
May 16, 2016
Artificial intelligence (AI) is increasingly hyped by vendors of all shapes and sizes—from well-funded startups to the well-known software brands. Financial organizations are building AI-driven investment advisors. Chat bots provide everything from customer service to sales assistance. Although AI is receiving a lot of visibility, the fact that these technologies all require some element of knowledge engineering, information architecture, and high-quality data sources is not well known...
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Information Architecture: The Engine that Drives Retail
LinkedIn
September 26, 2014
Under pressure from pure play e-Tailers such as Amazon and eBay, brick and mortar retailers are scrambling to defend their businesses. To stay competitive, most have now added an e-Commerce channel. The challenge for many legacy retailers is that e-Commerce has involved a long learning curve and now mobile and web channels have become part of core functionality rather than a cutting edge addition to the brand. Add to this that many traditional retailers still lack a core competency in the technical nuances necessary to compete effectively with the Amazons and eBays.
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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
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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
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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:
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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
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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
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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
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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
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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
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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
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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: AI, Big Data, Data Center
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
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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
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Michael Schrage on Recommendation Engines - Episode #14
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April 06, 2022
In this episode, Seth and Chris talk with Michael Schrage, Fellow at MIT Sloan School's Center for Digital Business and author of the book, "Recommendation Engines."Highlights:Links:Book: Recommendation EnginesThanks to our sponsors:Marketing AI InstituteCMSWireEarley Information Scie
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Stephanie Lemieux on Taxonomy & Information Architecture - Episode #13
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March 29, 2022
In this episode, Seth and Chris talk with Stephanie Lemieux, President of Dovecot Studio about the nuts and bolts of taxonomy and information architecture.Highlights:1:42 - Stephanie Lemieux background & Relationship with IA & Taxonomy7:30 - Complexities & Foundational Problems15:05 - Gr
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Jeff Coyle on AI and Content Strategy - Episode #12
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March 18, 2022
In this episode, Seth and Chris talk with Jeff Coyle about how AI is impacting content strategy.Highlights:2:55 - Craft beer - on winning the award for a Mexican lager10:00 - Jeff's path to a passion for SEO14:30 - On using data to decide what to write about20:00 - What does Google think you th
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Mark Anderson on Pattern Discovery Engines - Episode #11
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March 02, 2022
In this episode, Seth and Chris talk with Mark Anderson about the new field of pattern discovery and its impact on AI.Highlights:11:45 Path to pattern discovery17:15 Eliminating the hypothesis and focus on the data with a Y value30:00 Solving the most challenging problems with pattern discovery40:
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Tim Huckaby on the Future of AI and Computer Vision - Episode #10
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March 01, 2022
In this episode, Seth and Chris talk with Tim Huckaby about the his experience as a software developer in the 90s and his take on the future of AI and computer vision.Highlights:4:30 Developing software at Microsoft in the 90s11:00 Hollywood stories14:30 Leaving Microsoft and building an app dev fir
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Sean Martin on Practical & Scalable Knowledge Graphs - Episode #9
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February 22, 2022
In this episode, Seth and Chris talk with Sean Martin about the development and practical applications of knowledge graphs.Highlights:5:30 – First online sports scoring website launched9:00 – First forays into semantics applications13:00 – Getting through scaling issues16:30 – On needing to
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Paul Zhao on Democratizing AI - Episode #8
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February 11, 2022
In this episode, Seth and Chris talk with Paul Zhao about making AI more accessible for everyone.Highlights:5:00 on being a tech entrepreneur30:00 after the buy out challenges - what now?39:00 advice to the non-technical on gaining business value with AI/ML50:00 on build vs buy Contact Paul:https:/
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Paul Lasserre on AI & Customer Experience - Episode #7
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February 01, 2022
In this episode, Seth and Chris talk with Paul Lasserre about his experience developing applied AI applications. Highlights:4:15 Link between AI and chasing pirates in the Navy7:00 On getting into customer experience as a ML problem10:00 On the challenges of internally selling new ideas15:00 On mea
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Henrik de Gyor on Synthetic Media - Episode #6
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January 18, 2022
In this episode, Seth and Chris talk with Henrik de Gyor about his research on synthetic media.Highlights:11:15 Defining synthetic media13:30 Rights management19:14 Nefarious applications21:30 Provenance & Ethics37:00 Applications and tools today48:30 Future applicationsLinksBook: Synthetic Me
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Linda Andersson on AI Powered Semantic Search - Episode #5
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January 12, 2022
In this episode, Seth and Chris talk with Linda Andersson, Founder & CEO of Artificial Researcher about AI powered semantic search.Highlights:5:00 - Linda's journey to her work14:20 - Domain knowledge and ontologies17:07 - Knowledge extraction20:05 - Why we need ontologies20:50 - Bias and n
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Adam Sutherland on AI and Personalization in Media & Entertainment - Episode #4
Earley Information Science
November 23, 2021
In this episode, Seth and Chris talk with Adam Sutherland about AI and machine learning in media and content.
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Massood Zarrabian on Innovation in Enterprise Search with AI - Episode #3
Earley Information Science
November 05, 2021
In this episode, Seth and Chris talk with Massood Zarrabian, CEO at BA Insight about how enterprise search is evolving - getting better (bringing greater value) and costing less.
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Mike Kaput On How To Get Value From Out-Of-The-Box AI Applications - Episode 2
Earley Information Science
September 30, 2021
In this episode, Seth and Chris talk with Mike Kaput, Chief Content Officer at Marketing AI Institute, about he's used out of the box AI tools to enhance marketing operations.
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Chris Featherstone Talks About Building Omnichannel Virtual Assistants - Episode 1
Earley Information Science
September 17, 2021
Many companies are turning to chatbots and virtual assistants to improve customer experience and increase operational efficiency. In the past text and voice channels were distinct. Now, tools and technologies are emerging to support omnichannel virtual assistants that seamlessly blend text and voice. However, voice and text interactions are quite different and have specialized design requirements.
In this episode, Chris and Seth talk about core principles for building chat and voice assistants and review key considerations for each channel.
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EARLEY AI PODCAST
Earley Information Science
September 01, 2021
Insights, Expertise and Random Commentary on Artificial Intelligence and Machine Learning with Seth Earley & Chris Featherstone.
On this podcast, hosts Seth Earley & Chris Featherstone invite a broad array of thought leaders and practitioners to talk about what's possible in artificial intelligence, as well as what is practical in the space, as we move toward a world where AI is embedded in all aspects of our personal and professional lives. They explore what's emerging in technology, data science, and enterprise applications for artificial intelligence and machine learning and how to get from early stage AI projects to fully mature applications.
Seth is founder & CEO of Earley Information Science and the award winning author of "The AI Powered Enterprise."
Chris is a technology executive and strategist interested in how AI and Machine Learning will enable next generation customer and workforce engagement.
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[Panel Discussion] The Knowledge Management Imperative: Why KM is Essential to AI
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April 28, 2022
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AI Success - It's Not the Technology, it's the Data
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April 13, 2022
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Seth Earley - What do you say to execs who don't understand the value of information architecture?
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March 28, 2022
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Seth Earley - How can my company get started with information architecture?
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March 28, 2022
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Seth Earley - Who benefits from investments in information architecture?
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March 28, 2022
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Seth Earley - What do you say to execs who question the value of Information Architecture projects?
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March 25, 2022
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How to Instrument KPIs Throughout the Customer Journey
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March 24, 2022
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Seth Earley - When is the best time to invest in Information Architecture?
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March 24, 2022
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How to Evaluate and Assess Your Marketing Technology Stack
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March 24, 2022
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Seth Earley - What is Information Architecture?
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March 18, 2022
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Seth Earley - Why is Information Architecture so important RIGHT NOW?
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March 18, 2022
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First Party Data - Managing and Monetizing the "Data Exhaust" From Your MarTech Stack
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January 28, 2022
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Seth Earley - Why can there be no Artificial Intelligence (AI) w/out Information Architecture (IA)?
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January 21, 2022
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Seth Earley Explains: Metric Driven Decision Making
Earley Information Science | YouTube
September 09, 2021
In under 6 minutes Seth Earley delivers an introduction to governance and metric-driven decision-making. If you have leaders that need to appreciate why information governance is a necessity and requires attention and budget, this is the one to share.
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