VIRTUAL EVENT

Vision A.I.

Accelerating Adoption and Outcomes

 

Unlock the Potential of Vision AI

Used in many industries for decades, Vision AI is one of the most feasible and trusted artificial intelligence domains available today, making it a great component to your organization’s artificial intelligence journey. The field has quickly accelerated in recent years with the advent of hardware accelerators, models and standards, platforms, and advanced solutions like video analytics, video language models (VLM), and the ability to use various input pipelines such as images, video, lidar, and audio. Combined with data orchestration, automation, and agentic workflows, Vision AI is becoming a powerful platform to solve business challenges and transform operations and customer experience with meaningful outcomes.

Our experts will discuss an incremental approach to get started with Vision AI, share the technology stack required, and unpack popular horizontally applicable use cases and industry-specific examples across a range of industries, including finance, healthcare, manufacturing, public sector, and retail. Plus, they’ll provide insight into where this technology is quickly headed in the next 24 months.

Agenda

  • AI Regulation: A review of inconsistencies in AI regulation across multiple levels.
  • Ethical Use and Deep Fakes: How ethical concerns, including discrimination and deep fakes, are prompting states to propose legislation to address these issues.
  • Doomsday Scenarios: States are considering the formation of commissions to evaluate and address potential catastrophic events caused by AI.
  • Federal vs. State: States are actively regulating AI, while the Federal government is still figuring it out.
  • Business Impact: Inconsistent regulations challenge businesses and may slow AI adoption.
  • Legal Industry: AI could disrupt the legal industry, speeding up tasks but raising training concerns.
  • AI in Legal Research and Contract Review: How AI in legal research, contract review, and predictive analytics can expedite tasks and improve efficiency.

Agenda

AI and Its Impact on Legal Construct

Investigate top legal considerations as companies build their AI strategy, and learn how to avoid potentially costly pitfalls

Data Privacy and Protection

Learn about regional protection data laws, intellectual property rights, and precedence setters

Bias and Discrimination

Look into the risks within algorithmic bias and long-term effects for business

Liability and Accountability

Discover where you may be exposed and how to protect yourself

AI Governance and Ethics
 
 

Discuss ethical guidelines and overall AI use, focusing on transparency, accountability, and the impact of public trust—or lack thereof—on adoptions

FEATURED SPEAKERS

Jeff Minushkin

VP of CNXN Helix™ Core Engineering

Learn about Jeff ›

Ryan Spurr

AI Advisory Director
Manufacturing Strategy Director

Learn about Ryan ›

EXPERT INSIGHTS

In advance of our discussion, take some time to read Brian Gallagher’s latest blog posts on the impact AI will have in retail.