Tag: GenAI
What Collibra Gains from Deasy Labs in the Race to Govern AI Data
Unstructured data makes up over 90% of the enterprise data estate, yet most of it goes untapped. It sits in PDFs, contracts, emails, and meeting transcripts, locked away in formats that traditional data tools can't eas Read more…
AWS Launches S3 Vectors
AWS this week launched Amazon S3 Vectors, a new type of bucket that enables customers to store and query a large number of vector embeddings directly within S3. AWS says the new cloud offering delivers sub-second query r Read more…
Build or Buy? Why This One Decision Could Shape Your Entire GenAI Strategy
The GenAI race isn’t just about adoption, which tends to get alot of attention. It’s also about aligning capabilities with ambition. Organizations have been successful in deploying models, introducing copilots, a Read more…
How To Keep AI From Making Your Employees Stupid
Where I live in Bend, Oregon, the biggest challenge often used to be deciding which hiking trail to conquer. These days, a new, more existential question is emerging from the digital ether: For all its dazzling brillianc Read more…
Graphwise Bolsters GenAI App Development with GraphDB Update
Graph databases are emerging as a key piece of the data stack for developing and running generative AI applications. To that end, Graphwise today took the wraps off a new version of its GraphDB database that will help cu Read more…
Denodo Digs Into Answering the ‘Why’ with DeepQuery
Denodo today unveiled DeepQuery, a new generative AI capability that is now available within its data platform as a private preview. According to Denodo, its new DeepQuery capability leverages the latest in GenAI reasoni Read more…
Lucidworks Report Breaks Down What It Takes to Win with GenAI
Only 15% of companies are effectively using GenAI today, and they’re seeing up to 2x higher performance in key metrics like conversion and engagement compared to peers still relying on older tools. At the same time, 44 Read more…
WEKA Launches NeuralMesh to Serve Needs of Emerging AI Workloads
WEKA today pulled the cover off its latest product, NeuralMesh, which is a re-imagining of its distributed file system that’s designed to handle the expanding storage and serving needs--as well as the tighter latency a Read more…
Zero-Click Microsoft Copilot Vuln Underscores Emerging AI Security Risks
A critical security vulnerability in Microsoft Copilot that could have allowed attackers to easily access private data serves as a potent demonstration of the real security risks of generative AI. The good news is that w Read more…
Databricks Takes Top Spot in Gartner DSML Platform Report
In the market for a new data science-machine learning (DSML) platform? The folks over at Gartner have put together a document that ranks the top DSML platform providers in the business. Databricks took home the number on Read more…
Agentic AI Orchestration Layer Should be Independent, Dataiku CEO Says
We’re still early in the agentic AI game, but a few things are becoming clear: Customers will not tolerate lock in either at the data or AI level, and coordination of agents with unified governance will be necessary. F Read more…
It’s Official: Informatica Agrees to Be Bought by Salesforce for $8 Billion
It’s been 13 months since Salesforce and Informatica called off their first attempt at an acquisition. But the second time appears to be the charm, as Informatica today announced that Salesforce will buy it for $8 bill Read more…
How MongoDB’s In-Database Tech Simplifies and Speeds RAG Workloads
Retrieval-augmented generation (RAG) is now an accepted part of the generative AI (GenAI) workflow and is widely used to feed custom data into foundation AI models. While RAG works, calls to outside tools can add complex Read more…
Fine-Tuning LLM Performance: How Knowledge Graphs Can Help Avoid Missteps
Fine-tuning is a crucial process in optimizing the performance of pre-trained LLMs. It involves further training the model on a smaller, more specific dataset tailored to a particular task or domain. This process allows Read more…
Informatica Goes All-In on AI Agents for Data Management
Informatica made a series of agentic AI announcements today at its annual user conference today in Las Vegas, including the introduction of AI Agent Engineering, a new offering that will enable customers to build their o Read more…
Vendors Rush to Adopt MCP, the USB-C Cord for AI Integration
When Anthropic unveiled Model Context Protocol (MCP) last fall, it didn’t make a whole lot of headlines. Nearly six months later, the new protocol is the talk of the town as one data infrastructure vendor after another Read more…
These Are the Top Challenges to GenAI Adoption According to AWS
Businesses are making big bets on generative AI this year, according to a new survey on the nascent technology from AWS. While the investments are sizable, non-trivial challenges remain that have the potential to hamstri Read more…
AI Today and Tomorrow Series #4: Frontier Apps and Bizops
Welcome to the fourth entry in this series on AI. The first one introduced the series, the second discussed artificial general intelligence, and the third reported HPC users’ expectations and concerns about the HPC-AI Read more…
Rocketgraph: Making Graph Analytics as Easy as Asking a Question
Sponsored Content by Rocketgraph
Rocketgraph, born out of a high-performance computing project at the U.S. Department of Defense, is rewriting the rules of graph analytics. By merging generative AI (GenAI) with supercomputing-grade performance, Rocketgr Read more…
Snowflake Report Finds Early GenAI Adopters Ahead of the Curve
GenAI has progressed at an astonishing pace over the last two and a half years. It began with a surge of exploration and hype in late 2022, followed by a wave of early adoption as tools like ChatGPT and enterprise copilo Read more…
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