Agenda 2026

AI in Healthcare Summit : July 2026 | Kolkata

Overview

The traditional classroom model—defined by physical spaces, standardized curricula, and one-size-fits-all teaching—is rapidly evolving. Advances in technology, shifting workforce demands, and changing learner expectations are reshaping how education is delivered and experienced. This session explores what the “new classroom” looks like in a future driven by digital transformation, personalization, and lifelong learning.

Key Topics

  • ✓ AI-Driven Learning – End of the Classroom?
  • ✓ The Human Touch
  • ✓ Redefining Learning in the Digital Age
  • ✓ Entering Industry – Need for Degrees or Skills?
  • ✓ Chalkboards to Chatbots

Overview

The healthcare sector is rapidly evolving into a connected, technology-driven ecosystem where hospitals are no longer the sole center of care. Advances in AI, digital health platforms, and real-time data are transforming how healthcare is delivered, making it more accessible, efficient, and patient-centric.

Key Topics

  • ✓ Evolution from Traditional Hospitals to Connected Care
  • ✓ Telemedicine and Virtual Healthcare
  • ✓ AI and Automation in Healthcare
  • ✓ Smart Hospitals and IoT Integration
  • ✓ Wearable Technology and Preventive Healthcare

Overview

Data is the backbone of modern connected healthcare systems. From patient records and wearable devices to AI-driven diagnostics, the healthcare ecosystem generates massive volumes of data every day. Effective data management ensures that this information is secure, accurate, accessible, and ethically used.

Key Topics

  • ✓ Ethics and Accountability
  • ✓ Data Privacy and Security
  • ✓ Trust and Transparency
  • ✓ Societal Impact
  • ✓ Sustainability

Overview

As healthcare systems become increasingly digital and interconnected, regulatory compliance plays a critical role in ensuring patient safety, data protection, ethical practices, and system reliability. Effective compliance is essential for building trust, accountability, and sustainable innovation.

Key Topics

  • ✓ Healthcare Regulations & Standards
  • ✓ Data Protection & Privacy Laws
  • ✓ Compliance in Telemedicine
  • ✓ AI and Medical Device Regulation
  • ✓ Cybersecurity Compliance

Overview

As healthcare increasingly relies on AI, data analytics, and digital systems, the risk of ethical bias has become a critical concern. Addressing bias is essential to ensure that connected healthcare systems are equitable, inclusive, transparent, and trustworthy.

Key Topics

  • ✓ Bias in Healthcare Data
  • ✓ Algorithmic Bias in AI Systems
  • ✓ Bias in Clinical Decision-Making
  • ✓ Ethical Governance and Regulation

Overview

As AI reshapes jobs and decision-making, this session explores how our understanding of work, value, and human identity is evolving. It examines what remains uniquely human in a world of superintelligent systems, and how individuals and organizations can adapt to stay relevant, purposeful, and impactful.

Key Topics

  • ✓ Job Apocalypse in AI Era
  • ✓ Will Humans Accept Superhuman Intelligence