Conversational AI startup Gupshup secures $60 million in equity and debt funding to drive global expansion and strengthen its AI agent offerings, though its unicorn status remains unconfirmed as the company keeps its valuation undisclosed.
Agentforce revolutionizes team collaboration by unleashing AI-powered agents within Slack, enabling seamless workflow automation, data insights, and customizable templates for rapid deployment of digital teammates tailored to specific needs.
The Pentagon invests $800 million in AI contracts with tech giants Anthropic, Google, OpenAI and xAI, aiming to accelerate military adoption of agentic AI systems for battlefield planning and decision-making, sparking concerns over escalation risks and calls for safeguards.
Delve, an AI startup, secures $32 million in Series A funding led by Insight Partners to develop AI agents that automate compliance tasks, streamlining operations and enabling faster certification for companies across various compliance frameworks.
MIT dropouts' AI startup Delve raises $32M at $300M valuation for automating regulatory compliance using AI agents integrated with customers' tools, attracting Fortune 500 CISOs' investment.
AI agents promise $450 billion windfall by 2028, but only 2% of organizations have scaled adoption amid plunging trust from 43% to 27% over ethical concerns and opacity.
OpenAI unveils ChatGPT Agent capable of controlling computers and executing complex tasks autonomously, while a survey reveals 77% of workers face increased workloads due to AI, and Perplexity's CEO foresees AI automating roles like recruiters and administrative assistants.
Agentic AI revolutionizes workflows by automating tasks like project creation, CRM updates, and meeting highlights, boosting productivity and efficiency for companies using the Slack platform, leading to increased revenue, reduced costs, and higher customer satisfaction.
Oracle unveils MCP server enabling AI agents to autonomously query and reason over enterprise data in Oracle Databases, boosting productivity and data utilization across sectors like pharma, healthcare, and finance.
Exponentially compounding error rates and quadratically scaling costs render multi-step autonomous AI workflows mathematically and economically infeasible at scale, underscoring the pressing need to develop effective human-AI collaboration tools and feedback systems.