Serious Insights on AI
Dan has been writing about AI since 1986. He is the co-author of Understanding Artificial Intelligence (SAMS), and the author of Rethinking Smart Objects (Cambridge University Press). His latest book is titled Empower Business with Generative AI (Devoteam, Europe). He is also the former editor of PC AI. Dan’s work on AI has appeared widely in Byte, AI Expert, MacUser, Unix Review, Manufacturing Systems, IEEE Expert, and many other publications.
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A Framework for Enterprise AI Success Generative AI is changing the way organizations build software and interact with technology. While Generative AI has the potential to revolutionize businesses, it…
A few years ago, I wrote a white paper for Cisco on the post-PC world. We haven’t arrived there yet. The personal computer market continues to evolve. Artificial intelligence is on the cusp of d…
Top 10 Gen AI Success Factors Deploying generative AI in business is more than a technical exercise; it’s a strategic imperative that requires thoughtful planning and execution. To ensure a succ…
Filmmakers often perpetuate the myth of a “single copy” of crucial data in science fiction, overlooking the reality of pervasive cloud storage and automatic backups that define our digital age. In Al…
Discovering AI Guardrails: Not All ChatBots Defend Ethics with the Same Veracity I ran an experiment recently that some public chatbots are more repressed than others. I prompted them with a realistic…
The Future of Robotics: Are Humanoid Robots The Right Model? While humanoid robots are gaining significant investment and attention, we question whether they’re truly the optimal path forward. D…
Countdown to Comic-Con: Not “Her.” Don’t Fall for ChatGPT. It Won’t Love You Back. All images were generated by Meta.ai llama 3 via prompts from the author. Spike Jonze introdu…
Countdown to Comic-Con: Which Were the Most Realistic Star Trek TOS AIs? All images were generated via Meta.ai llama 3 from prompts written by the author. This is the first in a series of posts leadin…
Why Back-to-Office Policies Won’t Help Big Tech Sell AI All images were generated by the author’s prompts on Meta.ai. There is a growing tension between Big Tech’s pre-pandemic promo…
LLM Proliferation Will Challenge Emerging Testing Market Cover image from Meta’s llama 3 via a prompt by the author. The advent of smaller, more efficient LLMs will result in an even more rampan…
2024 Work Trend Index Annual Report: The Worrisome Microsoft and LinkedIn Report All images via Dalle-2 and Microsoft Copilot. Some images may have been edited after their creation. The 2024 Work Tren…
Listening to the Future: Revisiting “The Thinking Factory” Cover image via DALLE-2 from Microsoft Copilot on Edge. I was sitting in a ballroom of the famed Queen Mary ocean liner, docked a…
What Should an AI PC Do? Previous versions of PC-based AI did live up to their promise. Cortana was too primitive. Like Apple’s Siri, it performed only rudimentary tasks. Microsoft deprecated Co…
AI Hallucinations, Bias and Lies: Why We Need to Stop Ascribing Human Behavior and Attributes to AI [All images generated with Dall-E 3 via Microsoft’s Copilot in Microsoft Edge on a Macintosh.]…
7 Reasons AI Needs Knowledge Management Cover image by DALLE-3 using a summary of this article as a prompt. Much of the discussion about generative AI and the future of work focuses on the potential f…
AI and the 2024 United States Election: It’s ‘We The People,’ Not AI We Need to Worry About All images were generated by Open AI’s DALLE-2. AI was not used to create the analysis. Just after I…
How AI Will Change Collaboration Cover Photo by Google DeepMind on Pexels.com [Note: How AI Will Change Collaboration is an early version of a report that will be published following interviews with c…
AI and CES 2024: Will AI Continue to Dominate CES? All images courtesy of the Consumer Technology Association (CTA). Yes, AI will continue to dominate CES. AI is the new electricity. It will be embedd…
Future of Work Forecasts 2024: Driving Forces Shaping the Future of Work in the Next 12 Months Cover Photo by Cottonbro Studio on Pexels.com AI confusion. AI will be everywhere, but it won’t al…
On December 5, 2023, IBM and Meta launched the AI Alliance, with partners from around the world, to challenge proprietary models and opaque practices that will likely lead to distrust of AI over time.…
AI and Knowledge Management: How KM Will Change As a complement to my long reflection on KMWorld 2023, I offer this more practical set of insights on specific ways KM will likely evolve with AI integr…
Reflections on KMWorld 2023: How Will AI Change Knowledge Management? Many at the November KMWorld 2023 Conference in Washington DC projected disappointment in what the knowledge management (KM) disci…
Generative AI in the Enterprise: Getting Practical with Applications of Generative AI Technology like generative AI generates hype. Because of its close affiliation with science fiction, the con…
Ten Questions Every Business Will Be Asking About Generative AI Next Year Which generative AI system is worth paying for and how are they different? Bing, ChatGPT, Bard—big company generative …
The future of generative aI: early challenges for IT, and opportunities I recently attended the annual scenario planning session for friend and colleague Rob Salkowitz’s ‘Future of Market…
Future of Marketing Scenarios An overview of Scenario Planning Scenario planning employs an outside-in view of the future. It purposefully creates context by specifying futures that embody the key top…
Machine learning training sets focus on precise aspects of a domain. A machine learning algorithm trained on the identification of cancer cells does that job with accuracy and precision. The algorithm…
Writing in a world with ChatGPT Several jobs and their associated skills face existential threats from automation. Conventional wisdom, and assertions from inventors, almost always focus on automating…
The fight against facial recognition and its reflection of systemic racism in algorithms and the training data sets fails to see the context for why the technology will likely continue to be developed…
Time to Take on Time as X.AI Repositions and Extends Scheduling Agent Features Summary AI scheduling service provider x.ai relaunched their scheduling service at the end of 2018. They have delivered m…
CES 2019 Wrap-up: What We Learned and the Best of CES 2019 Last week at this time I was cool hunting the floor of the Las Vegas convention center in search of the questions Serious Insights found most…
KMWorld 2018: Knowledge Management in the Age of AI, IoT and XR On November 7, 2018, I gave a talk at KMWorld 2018 on knowledge management in the age of artificial intelligence, the Internet of Things…
Why AI isn’t Intelligence Classifying the wonders of current machine learning algorithms as artificial intelligence does a disservice to the idea of intelligence and creates a vague market that offe…
AI and Ethics: Do we need a new ethics to deal with autonomous technology? Revisiting The Golden Rule One of my favorite religious “jokes” go something like this: A young woman walks up to a R…
x.ai scheduling bot heads to the enterprise If you want to experience AI in a meaningful way, you need to look at x.ai’s meeting scheduling service. I have written about them before just as they wer…
The gnashing of teeth and the fear-mongering about job displacement has started at the World Economic Forum. Robots and artificial intelligence (AI) are out to take many of the most prestigious j…
Updated from an original future of work blog post dated 7/27/2006 Cover photo by Pixabay on Pexels.com Learning from Meerkats The November 2000 Religious Diversity Faire at UC Irvine focused on the im…
