Conversational AI Innovation Summit 2024 | ConfX | 5 September 2024 | TBA, San Francisco

This is your gateway to delve deep into the latest trends, breakthroughs, and best practices that are redefining how we as humans interact with technology and each other. As we navigate a world where our expectations and business landscapes are rapidly evolving, understanding and harnessing the power of technologies like Generative AI and NLP is no longer optional but essential for staying competitive and relevant.

The focus of the summit is on the transformative power of conversational AI that is revolutionizing various industries including Banking, Retail, E-commerce, Healthcare, Automotive, Education, and more. It offers a unique platform for professionals, thought leaders, and innovators from across industries to come together, exchange ideas, and spark transformative change in a dynamic and collaborative environment. Register now and be a part of this exciting journey!

Why You Should Attend?
This event is a platform offering you a unique mix of networking, knowledge, and growth opportunities. Witness first-hand how Conversational AI is redefining customer engagement, enhancing efficiency, and transforming industries. Join us and be at the forefront of this revolution!

Connect:
• Connect 1:1 and benchmark with industry peers. Take the opportunity to network with new and existing partners and make valuable connections.

Learn:
• Learn from industry experts and pioneers. Our agenda is strategically curated with inspiring keynotes, panel discussions, case studies, and workshops.

Grow:
• Stay ahead of the curve. Explore collaborative opportunities with key decision makers and drive a competitive edge for your organization.

Who Should Attend?​
This event is curated for industry professionals and organizations interested in learning, exploring, designing, or building better and smarter Conversational AI solutions.
This event is for you if you are a CXO, VP, Director, or Manager within these functions-
• Digital Transformation / Strategy
• Product Management
• AI and ML
• Data Science / Analytics
• Research
• ICT Architecture and Engineering
• Product Design
• Product Development
• VUI and VUX
• Digital Marketing
• Customer/Consumer Experience
• Communications
• Sales / Business Development
• Customer Service
• Call Center / Support Center
• Operations / Operational Excellence

Key Discussions:
Evolution of Conversational AI:
• Discover the latest advancements driving the Conversational AI industry. Know the evolving trends and innovations, including Generative AI, and how they’re shaping the future of Conversational AI.

Designing Human-Centric Conversations:
• Uncover strategies for developing engaging conversational interfaces that prioritize user satisfaction, and learn how to create intuitive, user-friendly AI interactions. Explore new tools and topics like sentiment analysis, natural language understanding, new design principles and best industry practices.

Voice AI and Automation in Customer Service:
• Learn how Voice AI is transforming contact centers and customer service experiences. This segment will cover automation strategies, AI-driven customer support, and real-world case studies highlighting successful implementations across sectors such as Banking, Insurance, Healthcare, Retail, Ecommerce, Automotive, Telecom, Travel and Hospitality, etc.

Leveraging LLMs with Enterprise Data:
• Dedicated to mastering the integration of LLMs with company-specific data for personalized and efficient Conversational AI solutions, emphasizing data management and customization strategies.

Building Scalable Solutions:
• Discover strategies for scaling Conversational AI solutions across business functions, ensuring seamless integration and discussing architecture, tools, challenges and best practices for robust and efficient systems.

Measuring Success in Conversational AI Deployments:
• Explore the key metrics and methods for measuring and optimizing the performance, ROI, and impact of conversational AI on customer engagement, satisfaction, retention, and loyalty.

Ethics, Privacy Governance, and Standardization:
• Discuss critical aspects of ethics, data privacy, and security in the development and deployment of Conversational AI solutions, ensuring compliance with global standards.

Workforce Transformation and Future of Collaboration:
• Examine how Conversational AI is reshaping job roles, workflows, and the overall work environment, particularly in the context of remote work and digital collaboration.

Topics Covered:
• NLU / NLP
• Chatbots And Virtual Agents
• Generative AI
• Conversational Design
• Conversational Banking
• Large Language Models
• Multimodal Conversational AI
• Voice Technology
• Customer Service Automation
• Responsible AI​
• Speech Recognition
• Predictive Intelligence
• Customer Experience
• Real-World Applications
• Machine Learning
• Conversational Commerce