How Verizon buckets its AI, genAI use cases
Verizon CEO Hans Vestberg is splitting the telecom giant's AI use cases in three buckets: Optimizing processes, product experiences and revenue growth.
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.
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.
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.
Foundational model debates--large language models, small language models, orchestration, enterprise data and choices--are surfacing in ongoing enterprise buyer discussions. The challenge: You may need a crystal ball and architecture savvy to avoid previous mistakes such as lock-in.
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 scale and reliability.