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Top 10 Trends for Data in 2024

Tom Tunguz

LLMs Transform the Stack : Large language models transform data in many ways. If you’re curious about the evolution of the LLM stack or the requirements to build a product with LLMs, please see Theory’s series on the topic here called From Model to Machine.

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The Five Important Trends in Data, and the One Megatrend Powering Them All

Tom Tunguz

Yesterday, Dremio hosted the Subsurface Conference , the first conference on cloud data lakes. If one had doubts that cloud data lakes are a strategic area for many in the data ecosystem, those figures should quash them. When the data is stored in the cloud, we call it a cloud data lake. Planning the software to build.

Trends 361
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The Convergence of Data & Software Engineering in the Age of AI

Tom Tunguz

Machine learning’s demand for data has accelerated this movement because AI needs data to function. Data teams receive tickets from their internal customers & develop data products that serve both internal & external users, much like a classic product management & engineering team.

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What Builders Talk About When They Talk About AI

Andreessen Horowitz

The foundation models we use today aren’t just beating humans at Jeopardy, or playing Go at a supernatural level, or powering better recommendation engines—they’re changing and creating new user behavior across art, design, games, medicine, coding, and even human relationships. And then in the 1990s, there was this interesting bifurcation.

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DeepCode taps AI for code reviews

IT World

By leveraging artificial intelligence to help clean up code, DeepCode aims to become to programming what writing assistant Grammarly is to written communications. Discover InfoWorld’s 2019 Bossie Award winners: The best open source software for software development, cloud computing, data analytics, and machine learning. ].

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How to Accelerate Production Deployment and Embed Trustworthy AI into Commercial Solutions with IBM Embeddable AI Leader George Kreitler

SaaStr

That end-to-end model lifecycle needs to be done in a governed and transparent way, so you have a full line of sight to explain the ability of models to come to the decisions they make. One level higher than this, you want to think about fine-tuning and tuning a specific model to address a particular task.

AI 293
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What Are the Security Measures to Prevent Authentication Attacks

Frontegg

In the past decade, machine learning apps & artificial intelligence have increased ten-fold. Artificial Intelligence models can be used to build applications that can detect if an authenticated resource is being used differently than normal. Compromised Attack Detection.