AI Business

Gong, the leading revenue AI company, has announced a significant partnership with Microsoft that aims to simplify and expand how enterprises buy, deploy, and generate value from revenue AI. The collaboration marks a major milestone in Gong’s efforts to bring revenue AI directly into go-to-market (GTM) workflows.

The partnership enables revenue teams to seamlessly connect revenue data and existing systems, helping them move faster, automate go-to-market workflows, and drive more predictable revenue outcomes. This is made possible by the integration of Gong’s Revenue Graph – a continuously updated, queryable context layer built on real customer interactions – into Microsoft tools that revenue teams use every day.

Gong’s alignment with Azure gives joint customers additional confidence that their revenue AI platform is running on the same enterprise-grade cloud infrastructure that powers their broader business. This makes it significantly simpler to deploy revenue AI and help customers win by automating workflows, bringing context into revenue workflows, and automatically enriching systems with rich customer interaction data.

The integration of Gong’s Revenue Graph with Microsoft tools such as Copilot, Teams, Outlook, Dynamics 365, and Microsoft Copilot Studio enables teams to connect insights to ongoing revenue workflows. This is achieved through the use of Model Context Protocol (MCP), which allows teams to access Gong’s revenue AI and agents directly within these applications.

Gong automatically captures and structures customer interactions – including calls, emails, and meetings – and syncs that data into Dynamics 365 and across Microsoft applications. These interactions are logged and enriched with AI-generated summaries, key topics, and next steps, giving teams a complete and up-to-date view of each deal without manual data entry.

The partnership also enables the use of MCP to unlock AI workflows via Copilot. This allows teams to access Gong’s revenue AI and agents directly within Copilot, providing contextualized answers, summaries, and recommended next steps based on real customer data – helping teams take coordinated action across systems.

Gong is now available in Microsoft Marketplace, making it easier for organizations to bring revenue AI directly into their workflows. The company’s alignment with Azure gives joint customers additional confidence that their revenue AI platform is running on the same enterprise-grade cloud infrastructure that powers their broader business.

The partnership marks a significant step forward in Gong’s efforts to simplify and expand how enterprises buy, deploy, and generate value from revenue AI. By partnering with Microsoft, Gong can deliver the scale, security, and performance that enterprises expect while embedding revenue AI directly into the environments they already trust.

Gong is available on Microsoft Marketplace today, and MCP support is now live. The company’s Revenue Graph – a continuously updated, queryable context layer built on real customer interactions – provides teams with a single, trusted system for observing, guiding, and acting alongside the world’s most successful revenue teams.

Cao Liangliang, director at Google DeepMind and IEEE Fellow, has returned to Hong Kong after a twenty-year absence. This is a significant boost for the city’s artificial intelligence community.

As an undergraduate student in China, Cao began exploring AI and working under renowned experts in computer vision and machine learning at the University of Science and Technology of China (USTC).

After graduating from USTC, Cao met Tang Xiao’ou, who was recruiting students for his lab. Many graduates from this lab have gone on to become prominent figures in China’s AI industry.

Cao earned a master’s degree from MMLab in 2005 and worked there as a research assistant until 2006. He then moved to the United States to pursue his PhD at the University of Illinois Urbana-Champaign under Thomas S. Huang, known for his work on Chinese computer vision.

Today Cao is recognized globally for leading roles that shaped Silicon Valley’s most advanced AI systems - including Gemini and Apple Intelligence. His work has made a significant impact on machine learning and its applications in real-world scenarios.

The director considers Hong Kong as home, having announced on his personal website: ‘This is a full-circle moment for me.’ Now he brings the expertise gained from Google DeepMind and other Silicon Valley companies back to his hometown. Cao’s experience with AI assistants will be valuable to local institutions that are looking to integrate these technologies into their academic programs.

Cao’s return could be just what Hong Kong’s academic ecosystem needs right now, especially PolyU where he has taken up a new role. His presence is expected to have a positive impact on the local industry and help foster collaboration between researchers and students.

San Diego-based Qualcomm Technologies has announced the selection of fifteen startups from Japan, Singapore, and South Korea to participate in its AI Program for Innovators (QAIPI) 2026. The program aims to empower these startups with cutting-edge technologies and resources to develop scalable edge AI solutions that address real-world challenges across various industries.

Samsung Electronics is accelerating its adoption of artificial intelligence (AI) across the company by deploying ChatGPT Enterprise and Codex to its employees worldwide. The deployment, one of OpenAI's largest enterprise deployments to date, will make these tools available to all Samsung Electronics employees in Korea and those working in its Device eXperience (DX) division globally.

Agentic artificial intelligence startup Convey Inc. has announced the closure of a significant funding round, securing $38 million in early-stage investment to scale up its platform for automating business tasks using AI teammates. The Series A round was led by Andreessen Horowitz and saw participation from Khosla Ventures and Pear VC.

A new player has emerged in the world of artificial intelligence (AI) adoption, particularly among large enterprises and critical institutions. Percepta, a General Catalyst Transformation Company, is helping these organizations achieve meaningful AI transformation by embedding its experts directly inside client organizations to redesign core operations with AI at their center.

A major breakthrough has been reached by Israeli startup Upriver Data Ltd. The company raised a whopping $14 million in new capital, marking an important milestone in its mission to automate data work that enterprises rely on for their artificial intelligence projects.

A San Francisco-based startup called Town has secured $55 million in Series A funding, led by venture capital firm Andreessen Horowitz. The investment also drew participation from Forerunner Ventures.

A growing gap between awareness and readiness for artificial intelligence (AI) is emerging in Malaysia's corporate world, with business leaders being told they must take a more active role in embracing the technology. The warning comes as AI moves from pilot programmes into mainstream operations across the country.

PegaSystems CEO Alan Trefler has expressed his concerns about the high cost of tokens used by Large Language Models (LLMs). He notes that in recent weeks, the term 'tokenomics' has gained attention due to the unexpectedly high price of these tokens. This has led some companies to question their use and costs associated with them.