‍Discussion Points:

• Leveraging AI in Multi-Cloud Strategies: Gain insights into how AI technologies can catalyze business transformation and innovation within a multi-cloud ecosystem.‍
• Cross-Functional AI Applications: Investigate diverse AI use cases across different business functions, showcasing the transformative potential of AI in a multi-cloud framework.‍
• Calculating ROI in Multi-Cloud Environments: Understand the critical metrics and analytical frameworks necessary for calculating and maximizing ROI in multi-cloud deployments.‍
• Cost Optimization Strategies: Examine how AI-driven insights can optimize costs and resource allocation across various cloud services for improved financial performance.

Interactive Discussions and Q&A:

Opportunity for attendees to engage with experts, ask questions, and discuss their own experiences and challenges with multi-cloud environments.

Discussion Points:

• Innovative AI Breakthroughs: Explore significant AI initiatives that have altered industry norms and understand how these innovations pave the way for new possibilities.
• Strategic AI Integration: Learn about the most effective strategies for integrating AI into business models and discover how AI drives both innovation and competitive advantage.
• Inter-Industry AI Applications: Examine how AI technologies developed in one industry can be adapted to others and discuss the lessons learned from these adaptations to enhance cross-industry innovation.
• Looking Ahead: AI's Next Leap: Gain insights into the next big developments in AI that will impact industries and prepare to adapt to and capitalize on future AI advancements.

Interactive Discussions and Q&A:

‍Participants will have the opportunity to engage with industry experts, ask questions, and discuss their own experiences and challenges with AI implementation. This session aims to provide valuable insights and practical knowledge to help attendees leverage AI to drive innovation and redefine possibilities within their organizations.

With the global birth rate declining, the population aging, new demands from the workforce and a deficit of trust in society, how will you continue to meet unprecedented business challenges with far fewer and vastly different employees? Automation Anywhere Chief Human Resources Officer, Nancy Hauge, illustrates how AI is your most valuable partner for contending with global disruptive forces. Will you be ready?

Discussion Points:

• Evolving Threat Landscape: Discover how AI is reshaping cybersecurity, introducing advanced protective measures while also presenting new sophisticated threats. Understand the dynamics of this evolving threat landscape and the innovative defenses being developed to counteract these challenges.
• Innovative Strategies and Ethical Challenges: Explore cutting-edge AI solutions for enhancing cybersecurity and delve into the ethical complexities that arise with AI’s integration into digital defense. Discuss the balance between leveraging AI for security and addressing the moral dilemmas it presents.
• Enhancing Cyber Resilience:  Learn about the tools and practices necessary to build a robust cyber defense framework capable of adapting to the rapid advancements in AI technology. Discover strategies for maintaining resilience in the face of continuous AI-driven threats and attacks.
• Preparing for the Future: Gain insights into how cybersecurity strategies must evolve to address AI-centric threats. Learn about the potential impact of AI on future cybersecurity policies and the proactive measures needed to stay ahead in this rapidly changing field.

Interactive Discussions and Q&A:

Participants will have the opportunity to engage with cybersecurity experts, ask questions, and share their own experiences and challenges in navigating the AI-cybersecurity landscape. This session aims to provide valuable insights and actionable knowledge to help attendees strengthen their cybersecurity measures and prepare for future AI-driven threats.

Discussion Points: 

• Human Element of AI in Healthcare: Explore the integration of human oversight in AI deployments to uphold ethical standards and sustain trust in AI systems, while balancing automation with the human touch to improve patient outcomes and care quality.
• Facilitating Change Management with AI: Discuss strategies for leveraging AI to manage transitions in healthcare settings, from training programs and workflow adjustments to stakeholder engagement, emphasizing new AI technologies and capabilities.
• Bridging IT and Healthcare Practitioners: Examine the persistent disconnect between IT departments and healthcare practitioners and how AI can bridge this gap. Share best practices for fostering collaboration between IT and clinical teams to ensure seamless integration of AI technologies.
• Enhancing Communication and Collaboration: Highlight how AI tools can improve communication and collaboration among healthcare staff, leading to enhanced teamwork and better patient care. Provide real-world examples of AI applications that have improved coordination and information sharing within healthcare organizations.

Interactive Discussions and Q&A:

‍Participants will have the opportunity to engage with healthcare experts, inquire about the specifics of AI-driven change management, and discuss their own challenges and experiences with integrating AI in healthcare settings. This session aims to provide valuable insights and actionable knowledge to help attendees effectively implement AI to enhance operational efficiency and patient care within their organizations.

Discussion Points:

• Scaling AI Initiatives: Discuss the challenges of scaling AI projects from pilot to production, offering insights into how these initiatives can be aligned with overarching business objectives to drive significant value and transformation.
• Ensuring Data Integrity: Explore strategies for maintaining high-quality data in AI applications, crucial for ensuring the accuracy and reliability of AI deployments and their successful integration into business processes.
• Forecasting AI Impact: Examine effective techniques for forecasting AI’s business impacts and communicating these potentials to C-suite executives, demonstrating how AI initiatives can result in substantial business outcomes.
• Collaboration Synergy: Delve into best practices for fostering robust collaboration between data science and engineering teams, ensuring that multidisciplinary groups work cohesively towards unified AI goals.

Interactive Q&A Session:

Engage directly with panelists in a dynamic question and answer session, where you can address your specific queries and concerns about developing and implementing an enterprise-wide AI strategy. This session is designed to provide actionable insights that help you leverage AI for strategic advantage across your organization.