North America Emerging Tech Summit 2024
October 3rd, 2024 in San Jose
This summit will focus on the impacts and opportunities associated with emerging AI technologies including (but not limited to) generative AI platforms from companies like IBM, OpenAI, Nvidia, and Anthropic, considering questions such as:
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What are the most profitable and surprising use cases?
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How are companies ensuring data privacy and security?
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How do you turn experiments scattered across the enterprise into a coherent strategy?
Bringing together 120+ senior executives and regional experts charged with creating and executing their organization’s AI strategy for leveraging AI/ML in both enterprise and customer-facing applications from the IT side and the line of business side, this summit offers action-oriented panels, workshops, 1:1 meetings, and numerous networking opportunities to share initiatives, inspire peers, and find solutions to real execution challenges.
WHAT MAKES THIS SUMMIT UNIQUE?
CONTENT
Power Panels
Interactive panel discussions with subject matter experts who will share their insights and points of view.
Collab Workshops
Practitioner-led workshops designed to provide knowledge you can put to work in your own company.
Emerging Tech Startup Showcase
Early-stage regional startups will be provided a platform to tell their stories and inspire us with their innovation.
FORMAT
The summit’s conversational format gives you the opportunity to freely ask questions and share your own POV during sessions.
Ample networking time means your day away from the office provides not only an occasion to learn, but also a professional growth opportunity.
Optional 1:1 meetings means you can take advantage of the cutting-edge sponsors who will be on site, ready to help you achieve your 2024 goals and beyond.
Agenda
8:00 – 9:00 AM
Registration and Breakfast
Check-in, enjoy breakfast, and meet with fellow Business Leaders, Experts, and Government Officials before the summit officially kicks off.
9:00 – 9:10 AM
Welcome Reception and BuyerForesight™ Introduction
9:10 – 9:20 AM
Keynote Address: The Future of Work in an AI-Everywhere World
9:20 – 9:45 AM
Emerging Tech Partners Introduction
In this introduction, we highlight our solution partners who are driving tech transformation across industries. These strategic collaborators offer expertise in consulting, IT strategy, and innovative technology platforms, collectively assisting companies in formulating, implementing, and reviewing strategies aligned with corporate objectives and compliance requirements.
9:45 – 10:00 AM
Coffee Break and Networking
10:00 – 10:30 AM
Panel Sessions
TRACK 1
The Most Interesting New AI Use Cases
The initial use cases for GenAI were easy to come up with. Truly conversational AI, summarizing enormous amounts of unstructured text and the like. What disruptive and interesting use cases have companies rolled out recently, and what can we learn from them?
TRACK 2
Does AI Need to be Explainable?
The negative implications of the “AI black box” are well known, but must all AI models be explainable? In this session, we’ll discuss when explainability is essential. We’ll also look at ways companies are monitoring the quality, accuracy, and potential bias of model outputs in lieu of being able to explain the underlying model.
10:30 – 11:00 AM
Panel Sessions
TRACK 1
The AI Risks to Prepare for Now
Not all AI risks are obvious. In this session, we’ll discuss how companies are prioritizing AI risks by both urgency and industry.
TRACK 2
What Will Define a “Knowledge Worker” in an AI World?
Generative AI can handle a lot of tasks we associate with junior knowledge workers. As “AI digital workers” proliferate, how will companies redefine these roles for the human staff who remain?
11:00 AM – Noon
Peer Connect Session and Scheduled 1:1 Meetings with Sponsors
Take a break to network with your peers and meet with relevant Emerging Technology Summit sponsors.
Noon – 1:00 PM
Lunch and Networking
1:00 – 1:30 PM
Emerging Tech Startup Showcase
This showcase establishes a platform for early-stage regional startups to tell their stories and inspire us with their creativity and innovation.
1:30 – 2:00 PM
Panel Sessions
TRACK 1
How Will You Hire and Train for an AI Future?
When AI is integrated into most aspects of a company’s operations, how should companies be rethinking how they recruit, hire, and train new staff? We’ll discuss what skills and aptitudes are likely to be most valuable in an AI-augmented company.
TRACK 2
How Will LLMs Impact Data Privacy?
“Open source” LLMs have generated controversy around the sources of data used in their models, and the potential for abuse that creates. Others see a role for using GenAI to find and flag PII for removal. In this session, we’ll discuss both the risks and opportunities.
2:00 – 2:30 PM
Panel Sessions
TRACK 1
Developing an Ethical Governance Framework for AI
Companies are realizing they need both data governance and model governance to avoid ethically questionable outputs. Bias is the biggest risk factor, but there are others. How are companies creating workable governance frameworks?
TRACK 2
Domain-Specific Small Language Models
Domain-specific small language models are creating opportunities for efficiency, versatility, and accessibility that will open up thousands of use cases not applicable to more general LLMs. There is plenty of scope for innovation as developers explore the possibilities of these new customizable codebases.
2:30 – 3:30 PM
Peer Connect Session and Scheduled 1:1 Meetings with Sponsors
Network with your peers and meet with relevant Emerging Tech Summit sponsors.
3:30 – 4:00 PM
Panel Sessions
TRACK 1
Who Should Be Leading AI Strategy in the Enterprise?
Most of the demand for AI innovation is coming from the business, but most of the knowledge about AI typically sits in IT. What are the implications for AI strategy driven by either business or IT and how can companies avoid the inevitable blind spots that will arise as a result?
TRACK 2
Fighting Hallucinations: Different Approaches to Trustworthy Output
LLM hallucinations have been an unpleasant reality of all LLMs and so far none of the big players in the space have managed to eliminate them. Enterprises are pushing ahead regardless and mitigating risk with a variety of solutions to the issue. We’ll discuss some of these and how effective they are.
4:00 – 4:30 PM
Advisory Board Summit Wrap-Up
Join us as our Advisory Board members recap the day’s content & share their takeaways & insights.
4:30 – 6:00 PM
Networking Reception with Drinks and Hors D’oeuvres
Enjoy a proper send-off after a day full of conversation, insights, and activities.
Who’s Invited?
