Fri.Feb 23, 2024

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Data News — Week 24.08

Christophe Blefari

My ideas these days ( credits ) Hey, fresh Data News edition. This week I've participated to a round table about data and did a cool presentation about Engines. The idea was to depict the history of engines over the last 40 years and what leads to polars and DuckDB. Obviously the I forgot a few things and I'll do a more complete v2 soon. This is my third presentation about DuckDB in the last 3 months and I think I'll slow down a bit until I get new crazy things to share.

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Free Mastery Course: Become a Large Language Model Expert

KDnuggets

It is a self-paced course that covers fundamental and advanced concepts of LLMs and teaches how to deploy them in production.

IT 122
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Insurance Organizations Depend on the Quality of Their Data

Precisely

Insurance is an inherently data-driven industry. Even before the age of advanced analytics, experts in the industry were routinely using data to assess risk and price policies. Today, data analytics plays a more important role than ever. Innovators are in a race to see who can use it to their best advantage. Insurance carriers have far more powerful tools at their disposal than in the past, enabling them to more accurately profile their customers, evaluate risk, and drive new business.

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Everything You Need to Know About MLOps: A KDnuggets Tech Brief

KDnuggets

KDnuggets' first Tech Brief is now available, and it outlines everything you need to know about MLOps.

IT 113
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Data Science Job Market Trends: Navigating the Shifts from 2023 to 2024

WeCloudData

For those of you who read my last blog, I looked at how the data science job market had performed in 2023 – at least since August when the data collection began. The end of the calendar year provided a fitting moment to take a step back and assess what had transpired in the ensuing […] The post Data Science Job Market Trends: Navigating the Shifts from 2023 to 2024 appeared first on WeCloudData.

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3 Inspirational Stories of Leaders in AI

KDnuggets

Every leader has their origin story, and here are some that might inspire you.

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DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps

DataKitchen

DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps Data (and Analytic) Observability & Data Journey – Ideas and Background Data Journey Manifesto and Why the Data Journey Manifesto? Five Pillars of Data Journeys Data Journey First DataOps “You Complete Me,” said Data Lineage to Data Journeys. Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability The Need For Personalized Data Journeys for Your Data Consumers Data Te

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The Role of Data Observability in Building Reliable GenAI Systems

Monte Carlo

Over the past several years, data observability tooling has emerged as a must-have for every industry, from retail to security. And this renewed focus on data quality is bringing much needed visibility into the health of technical systems. As generative AI (and the data powering it) takes center stage, it’s critical to bring this level of observability to where your data lives, in your data warehouse , data lake , or data lakehouse.

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The Role of Data Observability in Building Reliable GenAI Systems

Monte Carlo

Over the past several years, data observability tooling has emerged as a must-have for every industry, from retail to security. And this renewed focus on data quality is bringing much needed visibility into the health of technical systems. As generative AI (and the data powering it) takes center stage, it’s critical to bring this level of observability to where your data lives, in your data warehouse , data lake , or data lakehouse.

Systems 52