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The Technology that's Taking Data Science by Storm

Tom Tunguz

Given all the momentum of the NoSQL movement, it would be easy to write off SQL-based technologies as forgotten, or simply standing still. AirBnB’s data science team wrote about their experiences contrasting Redshift and Hive. But there’s a tremendous amount of innovation occurring in SQL databases.

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Erin Price-Wright

Andreessen Horowitz

Artificial intelligence is transforming every aspect of technology, from how we code to how we sell to how we build companies. She lives at the intersection of art and science, and, to quote our partner Martin Casado, is weird and “so freaking smart” – traits that are increasingly rare and more valuable as every industry accelerates.

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Technical Review: A Trusted Look Under the Hood

TechEmpower SaaS

It provides findings and recommendations intended to foster a mutual understanding between business and software leaders, shedding light on the current state of your technology and your team. Our goal is to build a decent understanding of your business, your product, and your technology. Why TechEmpower?

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24 AI Podcasts to Expand Your Knowledge & Explore the Future of Technology

User Pilot

In this article, we’ve selected 24 of the best AI podcasts for you to listen to improve your knowledge of AI and keep up to date with the future of AI technology in product management and more. TL;DR Podcast.ai Podcast.ai is a pioneering weekly podcast that pushes the boundaries of artificial intelligence in content creation. Podcast.ai

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams. The Forrester Wave™ evaluates Leaders, Strong Performers, Contenders, and Challengers.

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My Favorite Books of 2021

Tom Tunguz

The Code Breaker relates the history behind CRISPR, a technology that enables biochemists to alter DNA via RNA, and the woman behind the innovation Jennifer Doudna. Walter Isaacson’s profile illuminates the science and history behind mRNA vaccines and poses difficult questions about the future of gene editing. The Order of Time.

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What Will Happen if Artificial Intelligence Breaks into Content Writing

Kraftblick

Source: blogspot.com) Due to the development of new technologies, business owners, company executives, and others responsible for writing have an opportunity to cope with these problems effectively. A number of companies offer automated content generation services using proprietary AI technologies.

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Data Science Fails: Building AI You Can Trust

Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology. Organizations must feel confident that human error did not inadvertently contribute to AI bias that resulted in inaccurate or misleading findings.

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MLOps 101: The Foundation for Your AI Strategy

Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. Download this comprehensive guide to learn: What is MLOps? Why do AI-driven organizations need it?

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5 Things a Data Scientist Can Do to Stay Current

With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Sharing data with trusted partners and suppliers to ensure top value.

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The Beauty and Brains of Actionable Data: How to Go From Concept to Reality

Speaker: Dr. Joe Perez, Senior Systems Analyst at NC Dept. of Health & Human Services, and Chief Technology Officer at SolonTek

Join Dr. Joe Perez, Senior Systems Analyst at NC DHHS, and Chief Technology Officer, SolonTek, to learn how you can capitalize on your ideas by blending internal with external while leveraging them into a cohesive strategy for both the short term and the long term. What value do you see in your data?