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A deep dive into caching in Presto
Understand the caching mechanisms for the popular distributed SQL engine and how to use them to improve query speed and efficiency.
SAS Viya analytics suite gets SaaS-based AI app development tools
The new offerings will allow enterprises to automate the setup and integration of a cloud-native technology stack to let developers focus on getting AI models and AI-driven applications into production.
7 Python libraries for parallel processing
Do you need to distribute a heavy Python workload across multiple CPUs or a compute cluster? Here are seven frameworks up to the task.
What is Llama 2? Meta’s large language model explained
Llama 2 is a family of generative text models that are optimized for assistant-like chat use cases or can be adapted for a variety of natural language generation tasks. Code Llama models are fine-tuned for programming tasks.
IBM unveils generative AI foundation models
IBM Granite series foundation models apply generative AI to natural language and coding tasks. Plus, Watsonx generative AI capabilities are coming to the Watsonx data lakehouse.
Launch into satellite applications with Microsoft Azure
Microsoft’s Azure Space platform and Azure Orbital Space SDK are taking edge computing to the final frontier, starting with satellite image processing, geospatial, and communications applications.
3 keys to making data democratization a reality
How do you build an organization of confident data users who are more responsive to customer needs? Focus on these three priorities.
What SQL users should know about time series data
Four key considerations to keep in mind when you need a database designed for analytical queries of vast quantities of time series data.
How to take action against AI bias
Humans must be the custodians for preserving high-quality data as AI use continues to advance.
Understanding OneLake and lakehouses in Microsoft Fabric
Microsoft Azure’s new, unified data platform aims to be your one-stop shop for analytics and machine learning at scale.
What is generative AI? Artificial intelligence that creates
Generative AI models can carry on conversations, answer questions, write stories, produce source code, and create images and videos of almost any description. Here's how generative AI works, how it's being used, and why it’s more...
Teradata acquires Stemma to boost AI-based data search for analytics
Stemma offers integrations with data warehouses, business intelligence tools, collaboration software and security tools.
Splunk’s new AI tools aim to ease security, observability tasks
The AI tools introduced at the company’s .conf2023 include the Splunk AI Assistant, Splunk Machine Learning Toolkit 5.4, Splunk App for Anomaly Detection, and the Splunk App for Data Science and Deep Learning 5.1.
Where quantum computing is already delivering value
While gate model quantum computing holds immense promise for tomorrow, quantum annealing systems are solving complex optimization problems for enterprises today.
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.
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.
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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