Archive
Tag: Enterprise Developers
AWS Introduces Amazon Q Developer Agents for Automated Testing, Documentation, and Code Reviews
Amazon Web Services (AWS) has unveiled a slate of enhancements for Amazon Q, its generative AI coding assistant. Announced at this year’s re:Invent conference, the company is launching several new features to make it easier for developers to innovate. Starting today, Q Developer has a built-in agent to automate the end-to-end process of generating and […]
AI’s Ticking Clock: Just 13% of Companies Say They’re Ready for AI; Most Fear an 18-Month Deadline to Act
The AI Scramble At the speed at which artificial intelligence is moving today, companies believe time is running out to take advantage of its capabilities. There’s one problem: They need more time to prepare for AI. In its second annual AI Readiness Index, Cisco finds a gap between the urgency organizations feel and how ready […]
Salesforce Gives the Gift of Free AI Trailhead Courses Through 2025
This is my final dispatch from Dreamforce 2024. The conference did live up to the hype Salesforce chief executive Marc Benioff promised: We’d all be talking about artificial intelligence. For this issue of “The AI Economy,” read about how Salesforce is preparing non-technical workers to adapt to this third wave of AI. Although Agentforce requires […]
AI Platform MindStudio Releases Self-Hosted Offering for the Enterprise
MindStudio, the enterprise-centric AI app development platform, has launched a new product called MindStudio for Enterprise, designed for companies that want more control over their infrastructure. This offering allows developers to take all the features available through the hosted SaaS platform and deploy them directly on the company’s on-premise or private cloud servers. In doing […]
GitHub: Developers Have Embraced AI, but Companies Are Slow to Catch Up
Software developers in the workplace have embraced artificial intelligence as an integral part of helping them do their jobs. A new study from GitHub reveals that 97 percent of engineers are using AI coding tools at some point. However, the companies they work for have been much slower in adopting AI tools and technologies—40 percent […]
