Machine Learning Times
Machine Learning Times
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The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes This is the third of a...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes This is the second of a...

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 Originally published on CIO, December 12, 2024. Business leaders believe their data is primed for...

 Originally published in GenAI: More Than You Asked For, December 15, 2024. This week,...

 Originally published in Harvard Business Review, December 13, 2024. Since OpenAI announced ChatGPT in...

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     Originally published in Forbes Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. LDMs complement LLMs by capitalizing on the world’s other main data source: enterprise databases. Rather than tapping the great wealth of human writing such as books, […]

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     Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes fewer headlines these days, but its vital role in achieving operational gains only continues to expand. Moreover, many thought leaders and AI evangelists contend that predictive AI delivers greater returns than genAI. Here are three ways predictive AI will advance in 2025. 1) The emergence of […]

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     Originally published in Forbes This is the third of a three-article series covering the business value of predictive AI, using misinformation detection as an example for illustration: article 1, article 2, article 3. It’s an established practice, yet it still hasn’t been standardized. Predictive AI has been improving enterprise operations for decades, but there’s no broadly […]

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     Originally published in Forbes This is the second of a three-article series covering the business value of predictive AI, using misinformation detection as an example for illustration: article 1, article 2, article 3. Man, I wish I had a magic crystal ball. That would be handy. Fortunately, we do have the next best thing: probability, the […]

  • 1 month ago
    Data Analytics in Higher Education

     

     Universities confront many of the same marketing challenges as corporations. While businesses need to attract potential customers, universities need to entice prospective students. A prospect needs to be converted to a customer, while a potential student needs to enroll at the university. Once you are an active customer, the business needs to maintain and grow […]

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     Originally published in Forbes, August 21, 2024 This is the first of a three-article series covering the business value of predictive AI, using misinformation detection as an example for illustration: article 1, article 2, article 3. Not all business problems are best addressed with generative AI. For some, prediction is the solution. Take misinformation detection. Imagine […]

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     Originally published in Built In, July 12, 2024 When ML has the very real power to gatekeep opportunities from minority groups, employing it properly and ethically should be your number one goal. When you use machine learning, you aren’t just optimizing models and streamlining business. You’re governing. In effect, ML models embody and implement policies that […]

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