The latest batch of enterprise technology projects we’re watching include a ransomware recovery, SAP clean core implementation, supply chain optimizations, using enterprise AI over genAI and choosing to build instead of buy.
Infosys CEO Salil Parekh said the company is "seeing good demand for AI agents" for vertical and horizontal use cases. Infosys is also deploying AI agents within its own business process management unit.
IBM reported strong second quarter results, a revenue pop for its infrastructure business due to its new mainframe system and a growing backlog for its AI business.
ServiceNow handily topped expectations in the second quarter and said it is gaining traction in CRM as it expands its footprint.
Google Cloud revenue in the second quarter surged 32% to $13.6 billion as Alphabet parent of Google, delivered better-than-expected results.
OpenAI plans to measure productivity gains for ChatGPT over the 12 months via the company's economic research team and academic partners.
General Motors said it is expanding its software services revenue, adding AI talent and honing its development practices to bring down warranty costs.
Udemy is betting that learning content will be better utilized when integrated into workflows and AI-driven applications.
Fidji Simo, incoming CEO of Applications at OpenAI and Instacart CEO, penned her first missive and laid out an optimistic vision for AI.
Verizon has rolled out AI customer experiences and is betting that the move will win accounts in a hotly contested wireless services market. The company announced a partnership with Google Cloud in April to deliver AI experiences with Gemini models and Verizon went live June 24.
Large language models (LLMs) have reached the phase where advances are incremental as they quickly become commodities. Simply put, it's the age of good enough LLMs where the innovation will come from orchestrating them and customizing them for use cases. That's great news for enterprises.
Systems integrators and services companies are launching AI agents, releasing frameworks and trying to help enterprises build multi-agent systems. The big question is whether AI agents turn out to be a boon or a bust for systems integrators in the long run.
