According to AndrewYNg on X, DeepLearning.AI launched a short course on the A2A (Agent2Agent) Protocol, built with Google Cloud and IBM Research and taught by Holt Skinner, Iván Nardini, and Sandi Besen, to standardize communication between AI agents across different frameworks. As reported by AndrewYNg, the course addresses the costly custom integrations typically needed to connect heterogeneous agent systems, offering a repeatable protocol layer for interop and orchestration. According to AndrewYNg, this creates business opportunities for multi‑agent applications—such as enterprise workflows, customer support, and supply chain automations—by reducing integration time, improving reliability, and enabling vendor‑neutral agent ecosystems.

According to DeepLearning.AI, the new short course on A2A: The Agent2Agent Protocol teaches a standardized way for AI agents from different frameworks to discover and communicate without custom glue code, improving interoperability for production agent ecosystems (source: DeepLearning.AI on X). As reported by DeepLearning.AI, A2A was built in collaboration with Google Cloud to align agent messaging, service discovery, and handoff patterns, reducing integration time and operational complexity across heterogeneous stacks (source: DeepLearning.AI on X). According to DeepLearning.AI, this creates business opportunities for scalable agent marketplaces, cross-vendor orchestration, and enterprise workflows that mix proprietary and open-source agents with consistent security and observability (source: DeepLearning.AI on X).

According to Sundar Pichai on Twitter, Alphabet's Q4 2025 earnings report highlights significant advancements in AI-driven products and continued growth in Google Cloud, as detailed in his remarks on the official Google blog. The report underscores strong investment in generative AI technologies and increased enterprise adoption of cloud-based AI solutions, positioning Google to compete in the evolving artificial intelligence landscape. As reported by blog.google, these AI initiatives are driving new business opportunities and operational efficiencies across Alphabet’s core segments.

According to Jeff Dean, Google is rolling out a comprehensive set of new features that allow organizations to leverage contextual data and build agent-based systems on top of Gemini and Google Cloud (source: Jeff Dean on Twitter, Google Cloud Blog). Businesses can now use Gemini-powered agents to extract actionable insights from company-specific information, such as identifying pending action items from past meeting notes. This release enables practical applications of generative AI for workflow automation, data analysis, and decision support, providing a significant business opportunity for enterprises looking to streamline processes and enhance productivity with AI (source: Google Cloud Blog).

According to @elevenlabsio, CARS24 now processes 20,000 hours of multilingual customer conversations each month using ElevenLabs Speech to Text technology integrated with Google Cloud. This AI-powered solution transforms every customer interaction into actionable business intelligence, enabling real-time transparency and quicker issue resolution across India’s competitive used car market. The system’s ability to deliver insights at scale supports stronger customer trust and operational efficiency, showcasing significant AI-driven business opportunities for digital transformation and customer experience optimization in automotive marketplaces (source: @elevenlabsio).