Program

Day 1 covers the core technologies driving the conversational AI revolution. Explore the power of Large Language Models and the potential of Multimodal AI, where voice, visuals, and other senses converge to create human-like interactions. Discover how to design engaging, human-centered AI experiences and build trust in these emerging systems.

Registration

Opening Remarks

Track 1: Large Language Models (LLMs) and Enterprise Implementation

LLMs as Enterprise Game-Changers

Explore the transformative impact of LLMs on business operations, including automation, personalisation, and decision-making.
Successful LLM implementations across various departments (marketing, sales, customer support, etc.).

Advanced Retrieval-Augmented Generation (RAG) Techniques

Deep dive into RAG, explaining how it combines the strengths of information retrieval and generation.
Discuss advanced techniques like semantic search optimisation, knowledge graph integration, and multilingual retrieval.

Navigating AI Compliance: Leveraging Large Language Models in Regulated Sectors. – (Parth Dave, Scotiabank)

Regulatory challenges and opportunities with LLMs in finance and government.
Best practices for aligning LLM deployment with compliance and risk management.
Strategies for driving efficiency without compromising security or regulatory standards.

Networking Break

TBD

Track 2: Multimodal Conversational AI

Integrating Senses: Advancing Multimodal Conversational AI

Integrating visual, auditory, and sensory elements into Conversational AI.
Multimodal systems enhancing user experience.
Future prospects of multimodal AI interactions.

Voice AI: Revolutionizing Customer Interaction

Exploring advancements in voice recognition technology and applications.
Voice AI in automating and enhancing customer experience.
Future trends in voice-enabled Conversational AI.

Networking Luncheon

Ambient Intelligence: Context-Aware AI Systems

Discuss the concept of ambient intelligence, where AI systems understand and respond to their surroundings.
Explore how to develop AI that can process environmental context, spatial language, and user behavior for more natural interactions.

Panel Discussion: Building Trust in Multimodal AI Systems

Address the unique challenges of building trust in multimodal AI, including user expectations, emotional intelligence, and cultural sensitivity.
Discuss strategies for designing transparent and explainable multimodal AI systems.

Track 3: Conversational Design and User Experience

Understanding AI, Language, and where the user fits into this new system.

Future of Human – AI interactions.
User expectations when conversing with a bot.
Pushing the boundaries and expanding AI capabilities.

Networking Break

Designing for Trust: Human-Centered AI Interfaces

Trust indicators in conversational AI.
Transparency in AI decisions and explanations.
Error recovery patterns and maintaining user trust.

The Future of UX/UI in Conversational AI

Emerging trends and best practices in designing conversational user interfaces.
Techniques to create engaging and intuitive conversational flows.
The future of UX design in the era of AI and machine learning.

Closing Remarks – Day 1

Cocktail Reception

Day 2 explores the practical applications and responsible development of conversational AI. Discover strategies for scaling solutions, measuring their effectiveness, and navigating the evolving landscape of AI governance. Learn from real-world case studies and visionary leadership insights, gaining a roadmap for success in the age of AI.

Registration

Opening Remarks

Track 4: Scaling and Measuring Conversational AI

Scaling Customer Service Conversations Across Your Enterprise.

Approaches to developing scalable AI solutions at your company.
Case studies on scalable deployments in the industry.
Challenges and solutions in AI scalability.

Metrics That Matter

Key performance indicators for Conversational AI.
Measuring user engagement and AI efficiency.
Role of data analytics in improving AI systems.

TBD

Networking Break

Track 5: Vertical Solutions and Success Stories

AI-Driven Financial Services: The Future of Conversational Banking.

Revolutionizing customer interactions and operations in banking through Conversational AI.
Case studies of conversational banking implementations.
Future trends in AI for the finance industry.

AI in Healthcare: Enhancing Patient Care with Conversational Technologies.

AI’s role in patient engagement and healthcare administration.
Privacy and ethical considerations in healthcare AI.
Case studies of AI-driven innovations in patient care.

Revolutionizing Customer Service: Conversational AI in Retail

How AI is transforming customer interactions in the retail sector.
Case studies of successful AI implementations in retail.
Future trends and innovations in retail AI.

Networking Luncheon

TBD

Track 6: Trust, Safety, and Governance in AI

Implementing AI Safety by Design

Emphasize the importance of incorporating security measures and ethical guidelines into the AI development process.
Discuss techniques for preventing prompt injection, validating outputs, and ensuring data privacy.

Fireside Chat: Visionary Leadership in the AI Era: Steering Businesses Towards Tomorrow.

A dialogue on the role of leadership in navigating the AI revolution.
Strategies for leaders to foster innovation and adaptability in the face of AI advancements.
Perspectives on how AI is reshaping business strategies and leadership models.

Closing Remarks

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Program

Registration

Track 1: Large Language Models (LLMs) and Enterprise Implementation

Track 2: Multimodal Conversational AI

Track 3: Conversational Design and User Experience

Registration

Track 4: Scaling and Measuring Conversational AI

Track 5: Vertical Solutions and Success Stories

Track 6: Trust, Safety, and Governance in AI

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