Mon.Jul 30, 2018

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Machine Learning Making Big Moves in Marketing

Rocket-Powered Data Science

Machine Learning is (or should be) a core component of any marketing program now, especially in digital marketing campaigns. The following insightful quote by Dan Olley (EVP of Product Development and CTO at Elsevier) sums up the urgency and criticality of the situation: “If CIOs invested in machine learning three years ago, they would have wasted their money.

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Education Leaders Embrace Data Storytelling

Juice Analytics

The Data Storytelling Revolution is coming to the K-12 Education world -- in its own unique way. Two days at the annual National Center for Education Statistics STATS DC Data Conference in Washington DC gave me an up-close view of how education leaders were using data to drive policy and understanding school performance. This insiders view was thanks to an invitation by our partners at the Public Consulting Group , one of the leading education consulting practices in the country.

Insiders

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Recent top-selling books in AI and Machine Learning

Rocket-Powered Data Science

Below are the individual links to these Data Science, Artificial Intelligence and Machine Learning books, all of which are top sellers on Amazon… “The Book of Why: The New Science of Cause and Effect” “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems” “Deep Learning (Adaptive Computation and Machine Learning)” “Applied Artificial Intelligence: A Handbook For Business Leaders

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IDG Contributor Network: Do you have a plan for harnessing IoT data?

CIO Business Intelligence

If you trust the headlines, 2018 is either the year of blockchain , the year of AI , or the year of augmented reality. The Internet of Things (IoT) doesn’t get the same buzz it did a few years ago, but investment in IoT is still strong. For many enterprises, however, IoT still has the potential to be the most transformative emerging technology.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Can Plug n’ Play Predictive Analytics Be Used in Hospitals?

Smarten

How Can Predictive Analysis Tools Help My Hospital or Healthcare Organization? Hospitals and healthcare systems are turning to predictive analytics tools to plan and forecast and understand what, when and how to support patients. Some hospitals use predictive analysis software to gather data and analysis the incidence of readmissions for patients presenting with critical health issues.

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The Future of BusinessObjects Dashboards – Lessons from Egypt

Paul Blogs on BI

On a recent trip to Egypt, I was amazed at the number of older vehicles I saw on the road dating back to the 1960’s and even older. These are not the beautifully conserved collectors’ items that you see here in the US but are mostly pretty beaten up with body parts often missing. Yet the incredible thing is they are still running and providing both value and productivity to their very demanding owners.