Why it Matters?!

Expected to boost the US GDP by 21% by 2030, AI governance emerges as a critical business necessity due to its dynamic influence on various sectors of society and commerce.Risk and reward are on many enterprises minds as they look to embrace the use of AI in their organizations. However, navigating the complex landscape of expertise, hype vs reality, AI governance and true ROI is often where most are getting blocked.

Steven Eliuk PhD, Vice President AI & Governance at IBM, shares a simplified view of AI baselines exploring with the group what this means to an organization and how it can help accelerate the use of AI in enterprise settings while satisfying the regulatory requirements too.

Why it Matters?!

In the AI era, governments and corporations grapple with balancing data collection for innovation while safeguarding privacy. How can citizens retain data ownership, privacy, and security? Jayanth N Kolla, Partner at Convergence Catalyst and former Google Health AI leader, shares new insights, design thinking, and working models, centered on individual data rights. The future of data is now. How is your organization or agency coping with this? What's working and what's not?

Why it Matters?!

Corporations that embrace gender diversity are more competitive and 21% more likely to achieve above-average profitability. While 80% of U.S. employers have diversity, equity, and inclusion (DEI) initiatives in progress, many are only beginning to grasp the effective implementation of these strategies, underestimating their transformative power. DEI is not just about respecting unique perspectives but also a key driver of strategic business success.

Roshni Joshi, a Google engineering leader and AI thought leader, shares insights on building inclusive practices in digital product development and key factors for success. The group will discuss the importance of inclusive, safe, and responsible AI development and how embracing diversity and inclusivity gives a competitive edge, fostering innovation, new business growth, and brand strength. 

Why it Matters?!

The combination of AI and IoT, also known as AIoT, is creating a new paradigm of intelligent and connected systems is expected to grow exponentially with a market size over $100 Billion over the next five years. Surprisingly 70%+ of AI projects fail today because of poor planning and business process alignment.

Volkmar Kunerth, CEO and Co-Founder of Accentec Technologies, will share common pitfalls and explore strategies that integrate AI and IoT solutions seamlessly, focusing on process optimization and KPI-driven outcomes. What AI models best suit your data and task complexity, and how can you ensuring technical soundness while aligning with business goals and KPI's?

Why it Matters!?

Low-carbon energy transition investments rose by 17% in 2023, reaching $1.77 trillion. However, to achieve net zero by mid-century, these investments must triple over the next six years. Despite significant progress in the past years with investments in energy transition and divestments in oil and gas, progress has slowed. Juliana Garaizar, a climate leader and VC & Angel investor, shares her market perspective and explores available mechanisms that align incentives to invest in Energy 2.0 technologies. What's driving your firm's investments in next generation of energy technologies that are more efficient, sustainable, and environmentally friendly? 

The edge of corporate competitiveness using a series of disjointed AI projects across the organization is shifting. Leading firms are beginning to transform their operations with a comprehensive "AI First" structure harmonizing and accelerating potential efficiencies, insights, and revenues. Andrea Ruotolo, Fulbright PhD and Rockwell Automation Global Head of Customer Sustainability (ESG), shares their roadmap to an AI First organization and how it compares to the current AI project bolt-on model. What outcomes should you expect, and how do you know if and when AI First is right for your firm?

Why it matters?!

Advanced technologies including the internet of things, artificial intelligence, machine learning and blockchain are enabling an increasingly data-enabled and connected world, for applications such as connected healthcare, transportation, the energy grid, and more. These technologies and connections also create more risk from a security and privacy perspective.

Florence leads the 45min interactive discussion sharing insights on the new series of international standards being developed to enable TIPPSS - Trust, Identity, Privacy, Protection, Safety and Security - for our world, our data, our devices, and the humans involved.

Why it Matters?!

The cancer patient experience is often fragmented and disjointed with patients having to navigate multiple systems and providers often leading to delays in care, frustration, and anxiety. Maz Zaheer, McKesson US Oncology Network CIO, explores six pillars of digital transformation he designed to tackle these challenges creating a more seamless and personalized patient experience. 

Why it Matters!?

Today 48% of businesses use some form of AI to utilize big data effectively. Having a clear understanding of “how” the business applies AI to their operations and customers offerings directly impacts revenue and marketshare. Roll up your sleeves with Andrew Taylor as he leads the HPE / NVIDIA team discussion highlighting selected customer AI use cases applied across different industries. AI applications areas include: Computer Vision, Digital Twin, Generative AI with use cases in the Automotive, Energy, Hospital Healthcare, Manufacturing, Public, and Retail Industry verticals. Bring your own challenge and AI application questions to connect and learn with the group.

Why it matters!?

Data volumes are growing rapidly—building opportunities for more insights, and better business outcomes. The capability of conventional datacenter processors, and the four walls of the datacenters they sit in—meanwhile—is not.

Scaling artificial intelligence can create a massive competitive advantage, and GPUs unlock those opportunities by delivering massive improvements in performance per watt.

But what about the workloads that aren’t yet accelerated? Will you be able to unlock the capacity to grow your revenue and support the increasing performance your existing customers demand?

Ian Finder, Principal Product Manager at NVIDIA Corporation shares his perspective on this dilemma exploring trends around CPU designs, Arm in the data center, and how architectures like NVIDIA’s Grace and Grace Hopper superchips are designed to unleash datacenter efficiency.

How do you plan for this and what are the most important trade-offs you need to consider? Ian shares practical use case examples to open up the group discussion on this critical challenge.