Fri.May 31, 2019

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Foundations of Data Science – Free Book

Data Science 101

Avrim Blum, John Hopcroft, and Ravindran Kannan wrote the book, Foundations of Data Science (PDF download). It is free and available for download. It can be useful for academic work or in business. It covers topics such as: Machine Learning Massive Data Clustering and many more. See the video for more.

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Data-Driven Enterprise Architecture: Why Enterprise Architects Need to Look at Data First

erwin

It’s time to consider data-driven enterprise architecture. The traditional approach to enterprise architecture – the analysis, design, planning and implementation of IT capabilities for the successful execution of enterprise strategy – seems to be missing something … data. I’m not saying that enterprise architects only worry about business structure and high-level processes without regard for business needs, information requirements, data processes, and technology changes necessary to exec

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Here’s How Blockchain Can Change Bancassurance

Smart Data Collective

Whether it is identity authentication, increasing the speed of cross-border payments , supply chain optimization or transportation logistics, blockchain technology has been providing solutions to a variety of industries. Blockchain can also become the answer to the problems encountered by bancassurance. The Issues Bancassurance Faces Now, and How Blockchain Can Help.

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Your AWS Cloud Journey: Step One – Initial Set Up & Org Design

CDW Research Hub

Nephelococcygia. Yep, it is an actual word. Pronounced neph·e·lo·coc·cy·gia. According to Urbandictionary.com, it means “the act of seeking and finding shapes in the clouds.”. Just like that word, the cloud journey can be overwhelming and even a tad bit scary at first. But if you take it step-by-step, get the terminology down and find a solution provider that will help guide you through the modernization maze, the cloud can be a satisfying place.

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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.