Multi-Agent AI to Take Centre Stage at Target Multiplai 2026 in Bengaluru
Built around the theme "Connected Intelligence: Multi-Agents in Action," this year's conference will examine how multiple AI agents can collaborate, communicate, and solve complex real-world problems.
Andrea Zimmerman, Senior Vice President and President of Target in India, said the conference aims to create a platform where AI leaders can exchange ideas and accelerate the practical adoption of collaborative AI.

BENGALURU: As artificial intelligence rapidly evolves beyond standalone models, multi-agent AI systems are emerging as the next major technological shift. Reflecting this transition, Target in India will host the fifth edition of Target Multiplai, one of India’s flagship AI conferences, on July 17, 2026, at The Leela Bhartiya City, Bengaluru, bringing together leading AI researchers, engineers, developers, and industry experts to explore the future of connected intelligence.
Built around the theme “Connected Intelligence: Multi-Agents in Action,” this year’s conference will examine how multiple AI agents can collaborate, communicate, and solve complex real-world problems more efficiently than isolated AI models.
The day-long event will feature technical sessions, expert talks, live demonstrations, case studies, classroom-style learning, and networking opportunities for AI professionals from industry and academia. Discussions will cover emerging topics including multi-agent architectures, orchestration frameworks, token economics, autonomous collaboration, and the engineering challenges involved in deploying large-scale multi-agent systems.
Andrea Zimmerman, Senior Vice President and President of Target in India, said the conference aims to create a platform where AI leaders can exchange ideas and accelerate the practical adoption of collaborative AI.
“With Target Multiplai, we are excited to bring together leading voices from across the AI ecosystem to explore the next evolution of artificial intelligence as multi-agent models move from concept to real-world application. This platform will create opportunities for participants to exchange perspectives, challenge conventional thinking, and explore how collaborative AI is shaping the future of industries, including retail,” she said.
Beyond theory, the conference will also showcase how Target is deploying AI across its retail operations. Live demonstrations and case studies will highlight the company’s use of artificial intelligence to strengthen merchandising capabilities, enhance customer experiences, improve supply chain efficiency, and empower its workforce.
The event reflects the growing industry focus on agentic AI, where multiple specialised AI agents cooperate autonomously to perform complex tasks, make coordinated decisions, and continuously learn from one another. As enterprises increasingly move from traditional generative AI applications to intelligent autonomous systems, multi-agent frameworks are expected to become a key building block of next-generation AI platforms.
Target in India serves as the integrated headquarters of Minneapolis-based Target Corporation and has operated in India for more than two decades. The organisation provides technology-driven retail capabilities spanning merchandising, digital commerce, marketing, cybersecurity, supply chain, and store operations, while contributing to innovation across Target’s global business.
With India’s AI ecosystem witnessing rapid growth across startups, enterprises, and academic institutions, Target Multiplai 2026 is expected to serve as an important forum for exploring how collaborative AI systems will shape the future of intelligent enterprise applications.
Registration details, agenda, and speaker information are available on the conference website: Target Multiplai.
Key Highlights
- Theme: Connected Intelligence: Multi-Agents in Action
- Date: July 17, 2026
- Venue: The Leela Bhartiya City, Bengaluru
- Focus Areas:
- Multi-agent AI architectures
- AI orchestration frameworks
- Token economics
- Enterprise AI applications
- Retail AI innovation
- Technical demonstrations and case studies
- Participants: AI professionals, researchers, developers, academia, and industry leaders.




























