Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...
The AI Playbook: Providing Important Reminders to Data Professionals
 Originally published in DATAVERSITY. This article reviews the new...

Industry News

4 Data Management Needs for Fraud Detection

 Efforts are hampered by multiple legacy applications, systems segregated by line of business, disparate SIU case-management systems, and third-party vendor systems that house critical data. A recent report by the Coalition Against Insurance Fraud suggests that insurers are pursuing predictive analytics and other fraud detection technology with added vigor. In fact, 95% of survey respondents

Six Business Intelligence Predictions For 2015

 Being a data-driven organization requires a combination of analysis and predictions. As we look at the last several years, big data has been the dominant force, moving from a consumer-based requirement to a must-have strategy for enterprises...

Text To HR: Rdy Or Nawt Here Comes 2015

 This article from Forbes covering predictive analytics for workforce interviews the Greta Roberts, program chair for Predictive Analytics World for Workforce, coming to San Francisco DATES — view more info. Human Resources (HR) is being rocked by...

Engineering Data Growth: The March is On

 From office furniture to conveyor belts, forgings, castings and a host of other products, durable goods manufacturer JSJ Corp. ran into the same problem many industrial firms face daily: so many people using so much data in...

Solve the Engineering Data Dilemma

 Big Data has been both hailed as the currency of the Information Age and derided as overhyped. Both statements are true because data immediately loses much of its value if it cannot be properly analyzed and acted...

Big Data and the Internet of Things: Two Sides of the Same Coin?

 For more on the analytics of the Internet of Things, attend Predictive Analytics World for Manufacturing, June 8-11, 2015 in Chicago. Let’s kick this post off with a quick quiz. Read each statement below and determine if...

Solving Big Problems with Big Data

  Big data initiatives can solve some of the most vexing issues in health care. Big data generates a mixture of great promise, fantastic and delusional claims, impressive misunderstanding, and several early examples that are beginning to...

Detecting the Insider Threat – How to Find the Needle in a Haystack?

 How data science can help detect and prevent the insider threat In the previous posts, we have examined the insider threat from various angles and we have seen that insider threat prevention involves the information security, legal...

How UPS Uses Analytics to Drive Down Costs (and No, it Doesn’t Call it Big Data)

 Jack Levis will be keynoting at Predictive Analytics World conference in San Francisco Tuesday, March 31, 2015 and in Chicago June 2015. When you have an organization the size of UPS – with 99,000 vehicles and 424,000...

Storm or Spark: Choose your Real-Time Weapon

 Real-time business intelligence is going mainstream, thanks in part to the Storm and Spark open source projects. Here’s how to choose between them. The idea of real-time business intelligence has been around for a while (see the...

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