Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...

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Top 5 Data Science Masters Programs

 Which top Masters Courses should you consider for a great career in data-science? A frequently cited study by McKinsey predicts that by 2018, the United States could face a shortage of 140,000 to 190,000 “people with deep analytic skills” as well as 1.5 million “managers and analysts with the know-how to use the analysis of

Hiring Analytics – 1 Bad Hire Wipes Out the Value of 3 Great Ones

 Whether you are hiring analytics professionals, customer service representatives, and retail or outside sales consultants, one proven variable is always watching your hiring decisions: One bad hire will wipe out the value of three great ones and...

Text Analytics: The Next Generation of Big Data

 In insideBIGDATA‘s special guest feature, Jeff Catlin of Lexalytics lays out the case for text analytics and its importance to the rising interest in big data. Jeff is CEO of Lexalytics, a company providing sentiment and intent...

6 Causes Of Big Data Discrepancies

 The same data can yield wildly different results. Here are some of the reasons for these fascinating, frustrating, or even dangerous discrepancies. Same Data, Different Quality Businesses often have a glut of redundant data stored in multiple...

Precision Health: Predicting and Preventing Disease — Not Just Treating It

 Precision health takes a big-data approach to disease prevention and detection, focusing on the various factors that help maintain health throughout the life span. Imagine a system where doctors can quickly comb through millions of anonymized patient...

Decoding Big Data for Business Growth (Infographic)

 How can you use big data? Let’s break down that definition of big data shared above to uncover a few of the different ways your business can use big data: Improve customer relations. The more you know...

How to Become a Data-Driven Company Overnight

 Strahan Wilson, CFO at sandwich chain EAT, explains how predictive analytics has helped him keep the shelves stocked, the customers happy and the shops fully staffed during peak periods. Historically, predictive analysis has been the preserve of...

Why is Big Data so Big in Health Care?

 Far and away, the industry that pops up the most in discussions of big data is health care. It’s not surprising, if you think about it. Lots of disparate sources of data, much of it unstructured. An...

Can Big Data Subdue Big Government?

 Asymmetric approaches to improving government transparency and accountability. U.S. politics is a frustrating maze. We sense sinister forces at work to gain undue influence and advantage within it but it’s so very hard to find and expose....

Infographic: The future of Clinical & Business Intelligence in Healthcare

 The primary goal of an organization’s clinical & business intelligence strategy is to improve outcomes while adapting to new care models. Data alone is like crude oil – the value is tied to its potential. In the...

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