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The engines of AI: Machine learning algorithms explained

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

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Why Raft-native systems are the future of streaming data

While Apache Kafka is slowly introducing KRaft to simplify its approach to consistency, systems built on Raft show more promise for tomorrow’s hyper-gig workloads.

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Coding with AI: Tips and best practices from developers

AI pair programming could be a coder's dream or a nightmare in the making. Nine developers talk shop about how they're using generative AI today. 

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6 key features of SingleStore Kai for MongoDB

SingleStore Kai for MongoDB brings real-time analytics to JSON documents by translating MongoDB queries onto SQL statements that are executed on SingleStoreDB. No changes to schema, data, or queries required.

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How AI-based search assistant Glean Chat is built to boost productivity

Glean Chat, a generative AI application that builds on the Palo Alto-based startup’s knowledge graph and enterprise search, can connect to enterprise applications to provide conversational search experience, along with notes about...

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Snowflake’s Government and Education Data Cloud focuses on security, data tools

The industry-specific data cloud is designed to help government entities meet security and compliance standards.

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Bringing observability to the modern data stack

Acceldata Data Observability Platform gives enterprises visibility into the reliability, performance, and usage of data platforms, helping to ensure data quality while controlling costs.

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ChatGPT’s parasitic machine

What do ChatGPT and other large language models owe to the human creators who provide the information they train on? What if creators stop making their insights publicly available?

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When the rubber duck talks back

The real value of AI coding assistants isn’t any particular piece of code they get ‘right’ or ‘wrong’ but the process of collaborating with them.

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5 best practices for software development partnerships

Partnerships can accelerate technological innovation in agile, devops, and data science. Just make sure you start with a strong foundation in place.

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Why Microsoft is combining all its data analytics products into Fabric

The integration of its existing products such as Synapse and Power BI will help enterprises combine workloads while reducing IT integration overhead, complexity and costs.

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Are large language models wrong for coding?

When the goal is accuracy, consistency, mastering a game, or finding the one right answer, reinforcement learning models beat generative AI.

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Smart packaging with IoT goes beyond better tracking

Smarter boxes and a data-driven approach to product delivery create new opportunities for improving both products and customer engagement. Here’s how to seize them.

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InfoWorld Technology of the Year Awards 2023 Nominations Now Open

Submission Deadline: June 30, 2023 5:00PM ET

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5 newer data science tools you should be using with Python

Already using NumPy, Pandas, and scikit-learn? Here are five more powerful Python data science tools ready for a place in your toolkit.

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How to explain data meshes, fabrics, and clouds

Empowering data-driven organizations requires the right tools and practices—and a boss who gets it. Here's how to explain critical data concepts to your CEO.

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Understand the 3 major approaches to data migration

Application-based, file-based, and block-based migration all have their own merits and use cases. Choosing the right solution starts with understanding their differences.

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14 popular AI algorithms and their uses

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases.

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

R tutorials: Learn R programming for data science

Search for R tutorials by task, topic, or package. Many include videos which are shorter than 10 minutes

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Mojo language marries Python and MLIR for AI development

New programming language aims to combine full Python compatibility with low-level programming features, along with the ability to harness GPUs and other AI accelerators.

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