Archive
Tag: Enterprise AI
Salesforce’s Next Big Challenge: Convincing Developers to Build AI Agents
Marc Benioff believes we’re in the era of digital labor, an opportunity Salesforce’s charismatic chief executive concedes his company is still trying to grasp. “We can see a new world opening when we look at digital labor. When we’re talking about [AI] agents, we’re talking about digital labor,” he proclaimed in December, valuing it as […]
IT Leaders Bet on AI Agents to Ease Growing Workloads, But Integration Remains a Major Hurdle
Companies are embracing the artificial intelligence revolution, turning to AI agents to help them scale for the future. That’s good news for enterprise agentic platform providers like Salesforce, Zendesk, and ServiceNow and startups like Cognition Labs, Adept AI, and LangChain. However, while there’s tech adoption, it’s not being smartly executed. New research from MuleSoft, Venson […]
Salesforce Unveils Agentforce 2.0, Bringing AI Agents to Slack and Introducing Advanced Atlas Reasoning
As AI agents take center stage in 2024, Salesforce is fully leaning into the trend. In October, the cloud computing company launched Agentforce, a platform that lets anyone quickly build advanced AI bots and connect them to enterprise data. Two months later, it’s introducing its next-generation AI agent offering, which aims to redefine “AI agents across […]
AWS Adds New Models, Caching, and Data Integration to Amazon Bedrock
If you thought Amazon Web Services (AWS) was done revealing updates to Amazon Bedrock, you’re in for a surprise. After all, it’s the centerpiece of the company’s push to bring inference to all applications. That said, the generative AI development platform is receiving another slate of features and capabilities now generally available or in preview. […]
AWS Launches an Amazon Bedrock Marketplace With More Than 100 Models
Amazon Web Services announced the creation of a marketplace within Amazon Bedrock from which developers can easily find and install popular, emerging, and specialized language models. Although the company’s fully managed service for building and scaling generative AI applications already supports multiple models, this marketplace enables developers to swap out the LLM without requiring direct […]
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 […]
AWS Expands Amazon Bedrock with Automated Reasoning, Multi-Agent Collaboration, and Model Distillation
Amazon Bedrock, the fully managed service for building and scaling generative AI applications, is receiving new features to help developers move more quickly from proof of concept to go-to-market. The company announced at its 2024 re:Invent conference that the platform is gaining enhanced safeguards, the ability to orchestrate multiple agents, and the ability to create […]
Salesforce Emphasizes Bench Strength as it Navigates Agentforce Future Amid Key AI Executive Departure
Clara Shih stepped onto the stage in a room with tens of thousands of people and many more online watching. Introduced by Salesforce Chief Executive Marc Benioff, Shih would showcase the company’s most significant product releases in years. As the head of Salesforce AI, she made the case for why organizations want to use the […]
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 […]
From Tool to Teammate: The Five Stages of AI’s Role in the Workplace
Multiple studies have shown how business leaders struggle to find value with artificial intelligence, but a new study offers an alternative perspective: the workers. Research from Atlassian’s Teamwork Lab reveals that employees who elect to use AI not as a tool but as an expert advisor are finding the most success. It outlines five distinct […]