Snowflake launched Arctic, an open-source large language model (LLM) optimized for enterprise workloads and efficiency. The move highlights how data platforms are increasingly laun...
The ability to import custom models and evaluate them plays into the broader themes of generative AI choice and orchestration. AWS' Bedrock bet is that enterprises will use multipl...
SAP reported a first quarter loss due to a restructuring charge but said its cloud revenue was up 24% with cloud ERP revenue growth of 32%. SAP said its cloud backlog was €14.2 bil...
Verizon CEO Hans Vestberg is splitting the telecom giant's AI use cases in three buckets: Optimizing processes, product experiences and revenue growth.
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Informatica said its first quarter results will be at the upper end of its guidance given in February and is quot;not currently engaged in any discussions about being acquired.quot...
Generative AI use cases are proliferating in financial services to illustrate a trend that's a bit counterintuitive--heavily regulated industries appear to be better set up for art...
Equifax said it is deploying Google Cloud's Vertex AI platform across its systems as it accelerates data ingestion as well as new product launches.
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Meta launched its Llama 3 open source large language model and said it will be available on AWS, Databricks, Google Cloud, Microsoft Azure, Snowflake, IBM WatsonX, Nvidia NIM and h...
Constellation Research CEO Ray Wang said Infosys is facing a bevy of moving parts that the company will have to navigate. quot;The combination of AI arbitrage, margin compression, ...
SAS said it will launch a series of AI models that are lightweight and focused on industry use cases. The company also added generative AI features to its Viya platform and unveile...
CxOs are betting that the Return on Transformation Investments (RTI) with AI will come from efficiency, revenue and growth, compliance and risk and proactive monitoring.
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Akamai has been steadily building out its distributed cloud infrastructure for multiple use cases including AI and machine learning workloads that require low latency near data.
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Foundational model debates--large language models, small language models, orchestration, enterprise data and choices--are surfacing in ongoing enterprise buyer discussions. The cha...
Anthropic CEO Dario Amodei said large language model personality is starting to matter, argued costs to train models will come down and agents that act autonomously will need more ...
The price changes go into effect Oct. 1 and range from an additional $10 to $15 more a month per user for most apps, but $30 more for a select apps.
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Amazon CEO Andy Jassy said AWS is underway building quot;primitive services,quot; or discrete building blocks, for generative AI and that approach will ensure customers bring more ...
The second version of the Meta Training and Inference Accelerator (MTIA) highlights how cloud hyperscale players are creating their own processors for large language model (LLM) tr...
Google Cloud pitched an agent-oriented vision for generative AI at Google Cloud Next and highlighted a bevy of emerging use cases going from pilot to production.
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The chipmaker's Gaudi 3 launch, announced at the Intel Vision conference, is the linchpin of Intel's plans to garner AI training and inference workloads and take share from Nvidia....
Google Cloud outlined a series of services and enhancements across its platform in a bid to make it easier for enterprises to bring their data to generative AI models, build applic...
JPMorgan Chase CEO Jamie Dimon issued his annual shareholder letter and provided an incremental update on the company's artificial intelligence efforts as well as private cloud bui...
Enterprises need to focus on data lakehouse strategies in 2024 to properly take advantage of generative AI; model architecture will be critical to managing large and small models; ...
It's easy to conclude that generative AI is going to take jobs from humans. But there's another argument that genAI will be needed just to maintain and improve productivity levels ...
