Enterprise software vendors shift genAI narrative: 'GenAI is just software'
Enterprise software vendors haven't been thrilled about the narrative that they aren't directly monetizing generative AI so the narrative is subtly being flipped.
Enterprise software vendors haven't been thrilled about the narrative that they aren't directly monetizing generative AI so the narrative is subtly being flipped.
Rocket CEO Varun Krishna said artificial intelligence and generative AI was driving process efficiencies and customer experiences behind marketing, product, operations and sales.
Amazon Web Services' sales growth in the second quarter accelerated to 19% amid a mixed quarter for Amazon overall.
Meta reported better-than-expected second quarter results and tightened its capital expenditure range for the year to $37 billion to $40 billion largely due to artificial intelligence efforts.
AMD CEO Lisa Su said company saw record data center revenue in the second quarter. The company also raised its third quarter revenue outlook.
Microsoft delivered a better-than-expected fourth quarter and said Azure revenue growth was up 29%.
Enterprise workflows are quickly becoming the new battleground for tech vendors as providers that have the customer data race to ensure they don't merely become systems of record.
The spending on generative AI infrastructure is accelerating at a breakneck pace, but it's quite possible that the "build it and they will come" approach may lead to overcapacity or some serious indigestion.
Salesforce and Workday formed a strategic partnership that revolves around a unified data foundation that connects Workday financial and HR data with Salesforce CRM data to streamline workflows.
Meta released Llama 3.1 405B, an open "frontier-level model" that aims performs as well as proprietary models. For Meta CEO Mark Zuckerberg, the Llama cadence is designed to play the long game and bet open-source models ultimately win.
IonQ outlined it roadmap for its quantum computing stack as well as various use cases as it aims to create enterprise grade infrastructure that could offload GPU workloads if successful.
Verizon is betting that its network--5G and fiber--can be the "backbone of the AI economy" with a boom of edge computing generative AI workloads on deck. The problem is Verizon hasn't seen real revenue yet but appears to be leveraging generative AI to become more efficient.