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.

Challenge: Enterprise IT and the Line of Business counterparts have an equal stake in driving meaningful business outcomes from AI adoption. Many enterprises face severe challenges in moving AI projects from pilot to production. This is driven by the sense of urgency to accelerate time to production and because of siloed deployments that cannot be standardized for enterprise-wide adoption.

Discussion: Sri shares his experience with clients' overcoming this challenge sharing best practice to increase the probability of success AND leads the group discussion with other leaders working through this right now.

Why it matters?!

70% of companies report minimal or no impact from artificial intelligence implemented. Many companies don't have the objectives, quality data, talent, or budget to scale for success. Scaling artificial intelligence can create a massive competitive advantage, but how do you make it happen to have an impact?

Joey Zwicker, VP of AI Portfolio and Sales Strategy at Hewlett Packard Enterprise, explores key indicators, practical lessons learned, and success factors to recognize and prioritize for your AI success. As Co-Founder and COO of recently acquired Pachyderm, Joey shares practical use case examples and a glimpse into the future of AI at HPE.

Why it Matters!?

Adapting AI resources for continuously changing business requirements requires scalability, meterability, manageability, on-demandability... lots of flexibility. When faced with a decision to develop AI resources in the Cloud or on Premises, business owners struggle making a choice. On-premises compute gives you more control and is often the cheapest solution, but the Cloud gives you fast access and flexibility.

Bill Mannel Chief Technologist, Americas HPC & AI Solution Sales explores what's at stake for the business and how these decisions are made.

What are the key decision criteria (pros and cons) that will help you determine when to develop AI resources on premise, in the cloud, or both? How are other leaders responsible making decisions and implementing AI infrastructure for their organization approaching this today?

Why it Matters!?

AI and groundbreaking techniques like ChatGPT are not only revolutionary but controversial. Most agree we now live in the AI era where companies must adopt AI (and quickly) to survive... yet many AI projects fail to get off the ground. Dale Brown, AI Software Global Head of Sales with Hewlett Packard Enterprise, explores the key elements for successful AI projects and shares real customer examples.

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What's hindering your to business value with AI/ML? How do you know your AI/ML initiative is on track? Join this interactive discussion with Dale and other leaders focused on solving business problems with AI.

We cannot beat climate change without aviation being decarbonized. The aviation sector emits almost one billion tons of carbon dioxide (CO2) and by 2050, the commercial aircraft emissions are predicted to triple. Known approaches like SAF/Bio based fuels have limited replacement potential and Hydrogen combustion being at higher temperature is still a cause of NOx and contrails. Hydrogen as an aviation fuel is in for the long haul and is a true Zero emission on board solution. SiriNoR Co-Founder and CEO Abhijeet Inamdar shares roadmap highlights of the only known subsonic and supersonic jet engines for zero emission aviation based on a hydrogen-electric drivetrain. What commercial and technical barriers are ahead and where is SiriNoR seeking partners?

Why It Matters!?

Corporations, governments, and consumers are prioritizing sustainability like never before. Commitments to global Sustainable Development Goals (SDG's) and renewable energy are now top priorities for CEO’s and CFOs with quantifiable and verifiable impacts required. Increasing demand for renewable supply along with extreme weather and heat, and grid reliability challenges, estimates show our grids will need to expand 5x or more.

Trinity Lloyd, Sustainability and Energy Transition Lead at Google, shares how they are leveraging technology to connect and transform these challenges into power solutions that meet community and business needs simultaneously at scale around the world.

Why it Matters!?

As market players accelerate the energy transition towards lower-carbon commodities, while ensuring energy security. The price discovery process can be both alluring yet opaque amidst a developing market.

Learning to properly navigate the price discovery process of early-stage projects, and offtake agreements is crucial to mitigating ones risk and for developing a commoditized market.

How will pricing be structured for low-carbon hydrogen and ammonia offtakes? What process and tools should project developers and investors have in place to better evaluate agreement risks, and increasing confidence in the marketplace? Santiago Canal Soria, Hydrogen Pricing Analyst, S&P Global Commodity Insights, explores some of the current challenges delaying the development of the market making process, and the tools available to frame new investment opportunities.

Did you know that 70-75% of change pursuits do not actually succeed well? What practices can we learn and apply from the 25-30% of these initiatives that do succeed? Reflect on a present or past change experience and join the conversation as FTE guest expert Marise Mikulis, CCMP, demystifies change adoption. Marise will explore the core change factors of execution approach, resistance, and persistence. She’ll offer some fresh perspectives on success levers, ranging from neuroscience, to documented best practice methods and metrics, and establishment of durable new norms.

Geothermal energy is clean, stable, and cost effective with a small footprint that can be built anywhere AND its right under your feet everywhere! So what's holding geothermal down? Kevin Mullen, CEO GreenQuest Power, shares how they are removing the remaining barriers and key challenges ahead. What does a technology package that drills deep enough to get to the heat both faster and more cost efficient look like? What technologies could be adapted to help downhole? What Power Purchase Agreement (PPA) models are best suited to navigate "non-standard" financing required for geothermal power projects? Which project finance and technology partners would be most attractive our atypical project and technology? Which regions are more likely to provide a power purchase agreement large enough to support the project?

Why it matters!

Considering the projected recession ahead and the related change in consumer demand, how are you implementing COVID lessons learned to build resiliency into your supply chain for the next disruption? Ocean freight and international sourcing expert Steve Hughes, President & CEO HCS International, shares insights on the key adjustments global manufacturers and ocean shippers are making to mitigate supply chain freight risk.