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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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Machine Learning and Predictive Analytics Foster Growth

 Machine learning technology, which is defined in this ProgrammableWeb article, is starting to become a common component in many types of technology platforms. Machine learning has led to the advent of predictive analytics, which has been rapidly growing in usage and is becoming an important aspect of business operations and processes. Predictive analytics is already

Warren Buffett Offers $1 Billion For Perfect March Madness Bracket

 It’s not every day that Brady gets sent packing, Manning sends potential travelers scrambling to the midwest and a Stanford grad makes news for freaking out on reporter Erin Andrews but that’s exactly what happened on Sunday....

CPG companies could improve business performance with better use of analytics, Accenture study finds

 The majority of consumer packaged goods (CPG) companies are failing to place analytics at the heart of their decision-making process, limiting their ability to improve the customer  experience and gain business advantage, a study by Accenture has...

Don’t Rely on Only One Technique

 A continuation of Dr. Elder’s talk on the top ten data mining mistakes and how to avoid them. The Top Ten Mistakes are covered in chapter 20 of the Handbook of Statistical Analysis & Data Mining Applications....

HR Should Hire ‘Scary’ Data People

 Too many people confuse reporting with analytics–and underinvest in making sure they are asking the right questions. Standard-issue reports about monthly employee turnover rates and average compensation per employee are important glances in the rearview mirror. But...

Poll Results: Text Analytics Use Shows No Significant Change

 Surprisingly, latest KDnuggets Poll did not find a significant change in Text Analytics use over the past 2 years. While 66% make some use of text analytics, only 19% use it on the majority of their projects....

Overspecialization throws data science dream teams off-balance

  Building a data science team is difficult enough, but growing one without losing the team’s effectiveness is a major challenge. Here’s why overspecialization is the wrong approach to growth. You’ve built a great data science team,...

Top 10 Data Mining Mistakes

 Dr. Elder gives his famous talk on the Top Ten Data Mining Mistakes. The Top Ten Mistakes are covered in chapter 20 of the Handbook of Statistical Analysis & Data Mining Applications. You can also view this...

3 Ways to Test the Accuracy of Your Predictive Models

 Editor’s note: This article compares measures for model performance. Note that “accuracy” is a specific such measure, but that this article uses the word “accuracy” to generically refer to measures in general. In data mining, data scientists...

Unlocking The Power of Data Science In Healthcare

 Vinod Khosla, Founder of Sun Microsystems and Khosla Ventures, recently stated that “in the next 10 years, data science and software will do more for medicine than all of the biological sciences together.” The rise of population health and...

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