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Trusted AI needs Trusted Data
The key to strong AI initiatives is a foundation of trusted, accurate and governed data. Join Alation on December 12th at 8:30 AM PT to learn about the data challenges in leveraging AI/ML, the importance of enterprise data readiness, and how Alation provides the foundation to enable trusted AI.

Databricks: We’re a Data Intelligence Platform Now

Five years ago, Databricks debuted the world’s first data lakehouse, which combined the beneficial aspects of data lakes and data warehouses. Thanks to the rise of AI, the nature of data platforms is changing, which necessitates a new name: the Data Intelligence Platform. Read more…

Batch Processing and Stream Processing: A Complementary Union for Modern Data Engineering

In the fast-evolving world of data engineering, two methods of data analysis have emerged as the dominant, yet competing, approaches: batch processing and stream processing. Batch processing, a long-established model, involves accumulating data and processing it in periodic batches upon... Read more…

Rockset Primes Database for Massive Vector Serving

Rockset today unveiled new vector database capabilities, such as the addition of approximate nearest neighbor (ANN) search and native support for LlamaIndx and LangChain, that it says will help companies efficiently scale their GenAI applications once they’re in production. As companies... Read more…

Microsoft Rolls Out Host of New AI Features at Ignite 2023

From new copilots and AI development tools, to vector search and AI chips, artificial intelligence featured prominently in Microsoft’s annual Ignite developers conference held this week. It also unveiled some data news around OneLake and Microsoft Fabric. It would be an understatement to say that... Read more…

How Hybrid AI Will Enable Far Greater AI Use

I’m writing this from the Qualcomm Summit in Hawaii. Typically, I’d be whining that I’m spending more time inside freezing in the air conditioning than outside enjoying Hawaii. But this year was unusually interesting. Qualcomm announced both its Snapdragon 8 and Snapdragon X Elite, both of which... Read more…

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New Data Unveils Realities of Generative AI Adoption in the Enterprise

Large language and image AI models, also referred to as generative artificial intelligence (GenAI), have been the big story of 2023. It has opened a new set of opportunities for professionals and businesses. While most businesses acknowledge the potential for GenAI, however, there are also... Read more…

Sam A.’s Wild Weekend

The surprise news Friday afternoon that Sam Altman was being fired from his job as CEO of OpenAI was just the start of a wild weekend for Altman and the future of one of the most promising AI startups in the world. Read more…

Cloudera and NVIDIA Partner To Expand AI Capabilities

Hybrid and multi-cloud environments have revolutionized how businesses store, process, and manage data. With the rise of new technologies, such as artificial intelligence and machine learning, data management is set to get a significant boost. Cloudera, an enterprise data management and analytics... Read more…

Aerospike Unifies Storage Format, Delivers DBaaS

Aerospike today announced that version 7.0 of its NoSQL database will introduce a unified storage format for data stored on SSDs drives and in memory, setting the stage for multi-record transaction support in the next release. The company also rolled out its fully managed database as a service (DBaaS)... Read more…

Privacera Report Shows That 96% of Businesses are Pursuing Generative AI for Competitive Edge

In the dynamic landscape of digital transformation, generative AI (Gen AI) is set to change how businesses operate and interact with customers. The rise of GenAI has unleashed a race to gain a competitive advantage and organizations are exploring different ways to use it. Read more…

Retool’s State of AI Report Highlights the Rise of Vector Databases

Artificial intelligence, specifically generative AI (GenAI) has seen a meteoric rise in 2023. It initially gained popularity as a consumer tool, but is now being used by enterprises who are looking for different ways to harness its transformative power. Read more…

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Master the Essentials: Big Data Engineering for Machine Learning
Seeking an introduction to widely used big data engines and frameworks? Download our whitepaper for insights into the fundamentals of data engineering for machine learning. Including information on key data engines such as Apache Spark, Apache Hadoop, Trino and Airflow. Read more…

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