Data to decisions examines the enablement of data-driven decisions across organizations. Holistic, data-informed decisions require a multi-disciplinary approach that combines performance monitoring with traditional business intelligence and analytic technologies. In addition, data-driven decisions are increasingly delivered in the context of business applications rather than in separate, analytic interfaces.
Run.ai's platform is Kubernetes-based and will help Nvidia customers distribute workloads across cloud, edge and data center infrastructure.
Snowflake launched Arctic, an open-source large language model (LLM) optimized for enterprise workloads and efficiency. The move highlights how data platforms are increasingly launching LLMs to combine with their data platforms.
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 multiple models and need a neutral platform to orchestrate them.
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 billion, up 27% from a year ago.
Verizon CEO Hans Vestberg is splitting the telecom giant's AI use cases in three buckets: Optimizing processes, product experiences and revenue growth.
Informatica said its first quarter results will be at the upper end of its guidance given in February and is "not currently engaged in any discussions about being acquired."
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 artificial intelligence because they have their data and controls in order.
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.
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 have support from enterprise hardware platforms.
Constellation Research CEO Ray Wang said Infosys is facing a bevy of moving parts that the company will have to navigate. "The combination of AI arbitrage, margin compression, and exponential efficiency is having an effect on the overall market. Constellation expects that the overall service market will be flat to single digit growth for the next year," said Wang.
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 unveiled "nutrition labels" for models.
