Agentic AI is likely to have an unwelcome side effect: Data wars and lawsuits between platforms. Data access skirmishes will proliferate as millions of AI agents start trying to complete tasks autonomously.
ServiceNow launched its Yokohama release of its Now Platform including AI agent orchestration, analytics and a workflow data fabric that integrates apps, data warehouses and lakes, and a workspace and studio to design and integrate agents.
Agentic AI is developing at a rapid clip with cloud giants, software companies and enterprises racing to create autonomous agents. The catch is that there little integration across platforms, standard are lacking and orchestration and context is missing.
Salesforce launched a developer edition of Agentforce and a marketplace for pre-built partner agents and actions.
Salesforce and Google Cloud have expanded a partnership that will bring Google's Gemini models to Agentforce, integrate Salesforce Service Cloud tightly with Google Customer Engagement Suite and enable handoffs between the companies' AI agents.
SAP launched Business Data Cloud, a platform that gives applications access to structured and unstructured data across its platform as well as third-party data. The effort is getting a big assist from Databricks.
OpenAI launched Operator, an AI agent that can use go to the web and perform tasks such as booking vacations, shopping for groceries and making restaurant reservations.
ServiceNow said it will acquire Cuein, a startup that analyzes AI and human chat interactions. The company said the deal will accelerate its roadmap for ServiceNow AI Agents.
Agentforce 2.0 includes Slack integration, more workflows across the enterprise and is generally available in February. Agentforce 2.0's debut also includes a new tagline dubbing the effort a "digital labor platform" that can move beyond Salesforce's core sales, service and CRM borders.
Here are three things to watch in agentic AI. Like generative AI, CxOs are going to have to weigh vendor pitches against lock-in and architectural decisions to regret.
Google Cloud launched Agentspace, which is designed to create and deploy AI agents, and a version of NotebookLM for the enterprise.
CxOs sifting through the marketing hype of agentic AI should keep process optimization and orchestration in the forefront of planning.
