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Based in Santa Fe, NM, Neil Raden is a mathematician (algebraic topology), founder of a management consulting firm, consultant to large and complex projects internationally, an industry analyst, and widely published author and speaker. His early background was in Property and Casualty actuarial R&D, and he remains active in consulting to the insurance industry. He founded Hired Brains Research in 1985 to provide thought leadership, context and advisory consulting and implementation services in Data Architecture, Analytics, AI, Data Science and organizational change for clients worldwide across many industries. His current portfolio includes data warehouse modernization, AI Last Mile and Complex Supply Chain analytics. Neil is a recognized authority on AI Ethics, author of more than fifty articles on the subject on Diginomica, and the author of the foundational report for the Society of Actuaries, “Ethical Use of Artificial Intelligence for Actuaries.” He, with James Taylor, is the co-author of the first book on Decision Management, “Smart (Enough) Systems.” Clients welcome his practical and valuable advice and counsel. He welcomes your comments at [email protected].

 

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The Israel Innovation Authority is building a new quantum computing research center - what will the impact be? This article is sponsored by:

The Israel Innovation Authority recently announced plants to build a quantum computing research center. The center will be led by Israeli startup Quantum Machines. How will this impact the quantum computing field?

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"I can build this - but should I?" Welcome to the AI crime prediction debate This article is sponsored by:

Can you predict crime with AI? And what should be done with these predictions, and the data that powers them? An AI model from Chicago raises all kinds of questions.

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Data fabric or data mesh? Don't move ahead without an active metadata strategy This article is sponsored by:

Metadata fell out of favor due to its association with static data catalogs - but don't overlook it. New approaches like data fabric and data mesh have promise. They won't be successful without an active metadata framework.

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The unpredictable rise of quantum computing - have recent breakthroughs accelerated the timeline? This article is sponsored by:

It's strange days in quantum computing - but that might be a good thing. Quantum mechanics breakthroughs have brought more quantum weirdness. Could those breakthroughs also accelerate adoption, and change Google's ten year quantum timeframe?

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We won't eliminate AI bias - unless we get at the real root of the problem This article is sponsored by:

Efforts to eliminate AI bias are well intentioned, but we aren't getting to the bottom of the problem. Here's my view on how we got to this point - and the dangers that lie ahead.

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What is my chatbot thinking? Nothing. Here's why the Google sentient bot debate is flawed This article is sponsored by:

The controversial case of a Google engineer who claimed Google's LaMDA chatbot had become sentient re-ignited an old debate. But is sentient even the right word? How can an algorithm be extremely sophisticated, yet have no path towards sentience?

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Without metadata, your fancy cloud data store is useless This article is sponsored by:

With the expansion of data stores into cloud data warehouses, data lakes, lakehouses and more, metadata just got a lot tougher - and metadata solutions haven't kept up. So what is needed for modern metadata management? Can ML/AI tools make the difference? Let's dig in.

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Edge analytics hype versus reality - a discerning look at the pros and cons This article is sponsored by:

Edge analytics is promoted as the solution to the analytics problems posed by edge devices. Let's take a harder look at the pros and cons, including security, cost, and integration with cloud analytics. Can we even call these use cases "analytics" at all?

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The flawed quest for Artificial General Intelligence - do you need to know how the mind works for AGI? This article is sponsored by:

The debate over so-called "sentient AI" is raging again. But the context is the problematic pursuit of Artificial General Intelligence - and the misguided idea that AGI should resemble the human brain.

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The forgotten margins of AI ethics - a paper on AI ethics with teeth This article is sponsored by:

The field of AI ethics seems to generate more happy talk than potent ideas. It's rare to find an academic paper with real world teeth, but "The forgotten margins of AI ethics" stands out. Here's my critical review.

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