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You are viewing the RETCON 2022 Summit. To explore our other events click here.

AUGUST 11-13

MGM GRAND, LAS VEGAS

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AGENDA

Plan your conference experience with ease. Explore the sessions and tracks at
Ai4 2025. Stay tuned for the detailed agenda, which includes speaker session
times, and valuable insights.

REGISTER NOW


MONDAY, AUGUST 11

12:00 PMRegistration Opens

1:30 PMOpening Keynote

2:30 PMTrack Sessions

4:00 PMIndustry Meetups

5:00 PMKickoff Reception Begins


TUESDAY, AUGUST 12

7:00 AMDoors Open & Breakfast

8:30 AMKeynote Sessions Begin

10:00 AMTrack Sessions Begin

12:30 PMLunch & Exhibit Hall Opens

5:00 PMExhibit Hall Reception


WEDNESDAY, AUGUST 13

7:15 AMDoors Open & Breakfast

8:30 AMKeynote Sessions Begin

10:00 AMTrack Sessions Begin

12:30 PMLunch & Exhibit Hall Opens

4:00 PMNetworking & Reception


9:00 PMAi4 Official Afterparty Begins


EXHIBIT HALL

Explore over 250 cutting-edge artificial intelligence solutions at your
fingertips.


OFFICIAL KICKOFF RECEPTION

We’re hosting a special kickoff reception at 5pm on Monday, August 11 to kick
things off!


MAIN STAGE KEYNOTES

We’re proud to welcome real estate innovators from the industry’s top companies.
Don’t miss these keynote sessions on the mornings of August 12th and 13th!


EXHIBIT HALL

Explore over 250 cutting-edge artificial intelligence solutions at your
fingertips.


OFFICIAL KICKOFF RECEPTION

We’re hosting a special kickoff reception at 5pm on Monday, August 11 to kick
things off!

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Previous


AI TRAININGS

We’ve partnered with the General Assembly to offer a selection of pre-conference
workshops on Monday, August 11, with 2-hour courses for business leaders and
other non-technical attendees as well as 4-hour deep dives for our technical
audience.


AI RESEARCH SUMMIT

The line between AI research and commercialized AI has grown blurry, with many
research projects becoming commercial products seemingly overnight. This
reimagined research summit convenes AI researchers behind the top recently
published papers that possess clear commercial implications.


GENERATIVE AI TRACKS

We’ve dedicated not one but FIVE content tracks to discussing Generative AI!
Four of our tracks labeled “Generative AI: 1-4″ are dedicated to business
applications of the technology. We also have a technical track for data
scientists called “Generative Models: LLMs to GANs to SLMs.


AI POLICY SUMMIT

The AI Policy Summit addresses the pressing challenges and opportunities posed
by the rapid advancement of artificial intelligence (AI) technologies. With a
comprehensive focus on regulatory frameworks, legislative imperatives, and
governance structures, this event aspires to foster informed discussions among
key stakeholders.


VCS & STARTUPS

The conference features hundreds of AI startups and VCs. If you’re looking to
meet founders, raise your next round, or gain strategic advisors, you’ve come to
the right place. Find who you’re looking for in our Startup Track, in the
Exhibit Hall, and in the Ai4 Networking App. We also have a special ‘Startups &
VCs Cocktail’ for startup Founders/CEOs and VCs.


WOMEN IN AI RECEPTION

Join us for a cocktail reception celebrating women in AI! Mix and mingle with
other women and allies in data and AI.


ROUNDTABLE DISCUSSIONS

These small 8-15 person peer-led discussion groups are an opportunity to have
candid conversations with those facing similar challenges. Our various sessions
cover AI ethics, generative AI, regulation, implementation, & more.


ASK THE EXPERTS

Ai4 will be hosting “Ask the Experts” sessions with several notable speakers
from the most innovative companies. This is a perfect time to discuss your AI
projects with subject matter experts. These will occur for one hour each
throughout the event.


OFFICIAL KICKOFF RECEPTION

We’re hosting a special reception at 5pm on Monday, August 11 to kick things
off! Make sure to arrive early enough to catch this opening event & start making
connections.


MAIN STAGE KEYNOTES

We’re proud to welcome the world’s leading AI voices to our keynote stage to
highlight AI’s biggest challenges and opportunities. Don’t miss these key
sessions on the mornings of August 12th and 13th!


AMERICA’S LARGEST HOTEL – THE MGM GRAND

The MGM Grand, located in the heart of Vegas on the Las Vegas Strip, features a
casino, four outdoor pools, a lazy river, and several world renowned restaurants
including Morimoto, Joël Robuchon, and more.


DAILY HAPPY HOURS

Relax & unwind! Both Tuesday and Wednesday evening, after the conference content
ends, we’re hosting a happy hour on the exhibit floor featuring a different
specialty cocktail each day.


250+ AI EXHIBITS

Our exhibit hall has doubled in size! Explore over one hundred cutting edge AI
solutions at your fingertips. Get the tools you need to accelerate your AI
program.

Next
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TRACKS

Discover the latest trends, advancements, and best practices shaping the future
of AI as industry experts, government organizations, disruptive startups,
investors, research labs take the stage.



AI TRANSFORMATION

Discover how executives at top organizations think about building and scaling AI
across their organizations for business success. Click to expand and read more…

AI AGENTS

In this track, we will dive into AI agents—systems that can autonomously perform
complex tasks and exhibit reasoning capabilities. Learn how these agentic
systems are being leveraged by leading organizations to drive efficiency,
enhance decision-making, and unlock new business opportunities. We will explore
the key components of AI agents, their potential to reshape industries, and how
they can be integrated into your business strategies. You’ll also gain insights
into the challenges and limitations of these systems, as well as their future
trajectory. This track will equip you with the knowledge to evaluate and
implement AI agents within your organization.

Who should attend: This track is a NON-TECHNICAL: Business leaders interested in
AI Agents should attend. This track does NOT require engineering backgrounds. 

Topics Include:

 * Introduction to AI Agents: What Are They?
 * Key Components of AI Agents: Reasoning, Autonomy, and Task Execution
 * Case Studies: AI Agents in Action
 * AI Agents for Process Automation and Efficiency
 * Ethical Considerations and Risks in AI Agents
 * The Future of AI Agents in Business

AI INFRASTRUCTURE & SCALABILITY

In this track, we will cover the critical components required to build and scale
AI infrastructure, including both the hardware and software tools necessary for
success. Learn how to architect systems that support AI initiatives at scale,
ensuring they are flexible, efficient, and capable of handling growing data
volumes and computational demands. We will dive into cloud computing, AI
platforms, and the digital ecosystems that enable organizations to effectively
leverage compute power and deploy AI solutions. This track will give you the
knowledge to develop scalable AI infrastructure and utilize cutting-edge
software tools to support long-term innovation.

Who should attend: This track is a NON-TECHNICAL: Business leaders interested in
AI infrastructure should attend.  This track does NOT require engineering
backgrounds. 

Topics Include:

 * Architecting Scalable AI Systems
 * Cloud Computing vs. On-Premise AI Infrastructure
 * AI Software Tools and Platforms for Scalability
 * Managing Computational Resources for AI
 * Handling Big Data for AI Applications
 * Building Digital Ecosystems to Support AI
 * Future-Proofing AI Infrastructure
 * Best Practices for AI Infrastructure and Digital Management

AI ROI MEASUREMENT & CONTINUOUS IMPROVEMENT

This track focuses on how to measure the return on investment (ROI) from AI
initiatives and ensure continuous improvement in AI-driven projects. Learn how
to set clear objectives, track key performance indicators (KPIs), and quantify
the financial and operational benefits of AI implementations. We will also
explore strategies for maintaining and optimizing AI systems over time,
including methods for ongoing training, performance tuning, and adapting AI
solutions to changing business needs. This track will equip you with the tools
to evaluate AI success and foster a culture of continuous improvement.

Who should attend: This track is a NON-TECHNICAL: Business leaders, project
managers, and decision-makers involved in AI projects who want to understand and
maximize ROI should attend.

Topics Include:

 * Measuring AI ROI: Key Metrics and KPIs
 * Setting AI Objectives Aligned with Business Goals
 * Quantifying Operational and Financial Benefits of AI
 * Strategies for AI System Optimization and Tuning
 * Continuous Improvement in AI Implementations
 * Adapting AI Solutions to Evolving Business Needs
 * Best Practices for Ongoing AI Performance Monitoring

DATA STRATEGY

This track will focus on developing a strong data strategy that empowers
organizations to unlock the full potential of AI. Learn how to align data
collection, governance, and usage with your business goals to maximize the value
of your data assets. We will cover key frameworks for building a data-driven
culture, strategies for managing data at scale, and how to ensure data quality
and compliance. This track will leave you with actionable insights on how to
turn data into a strategic asset that fuels innovation and growth.

Who should attend: This track is a NON-TECHNICAL: Aspiring and current business
leaders interested in how to effectively find business value in their data
should attend.  This track does NOT require engineering backgrounds. 

Topics Include:

 * Building a Data-Driven Organization
 * Aligning Data Strategy with Business Goals
 * Data Governance and Compliance
 * Managing Data at Scale
 * Ensuring Data Quality for AI Initiatives
 * Turning Data into a Strategic Asset
 * Use Cases – Simple and Complex – For Your Data
 * Databases & Techniques for Making Use of Data

BACK OFFICE AI TOOLS

This track will delve into how AI is revolutionizing back-office operations,
from finance to HR. Learn how organizations are using AI tools to automate
repetitive tasks, improve decision-making, and enhance operational efficiency in
back-office functions. We will cover real-world examples of AI-driven solutions,
strategies for selecting the right tools, and the impact these tools can have on
reducing costs and increasing productivity. This track will equip you with the
knowledge to streamline back-office functions and create more efficient
workflows.

Who should attend: This track is a NON-TECHNICAL: Business leaders interested in
enhancing and automating back office operations should attend.  This track does
NOT require engineering backgrounds. 

Topics Include:

 * Automating Finance and Accounting with AI
 * AI-Driven HR Tools: Recruitment, Onboarding, and Employee Management
 * Case Studies: AI Solutions for Back Office Operations
 * Cost Reduction and Efficiency Gains from AI
 * Best Practices for Implementing Back Office AI Tools

GENERATIVE AI: 1 - FOUNDATION AND STRATEGY

This track will lay the groundwork for understanding and developing a successful
Generative AI strategy. Learn how to identify opportunities for generative AI
within your organization, set the right objectives, and build a foundation for
long-term success. We’ll discuss critical considerations, such as aligning AI
initiatives with business goals, evaluating the technology landscape, AI risk
management, and building the internal capacity needed to deploy AI solutions.
The panel will also address instrumental generative AI technologies such as
LLMs, voice and image generation, and critical software tools and platforms.
This session will ensure you are equipped with the knowledge to start your
Generative AI journey with confidence.

Who should attend: This track is a NON-TECHNICAL: Business leaders, strategists,
and decision-makers looking to establish a foundational Generative AI strategy
should attend.

Topics Include:

 * Understanding Generative AI: Opportunities and Challenges
 * Setting AI Objectives Aligned with Business Strategy
 * Evaluating the Generative AI Technology Landscape
 * Building Organizational Capacity for Generative AI
 * Risk Management and Ethical Considerations
 * Best Practices for Laying a Strong AI Foundation
 * LLMs
 * Image and Video Generative AI
 * Multimodal AI
 * Generative AI Platforms and Tools
 * Prompt Engineering

GENERATIVE AI: 2 - POC DEVELOPMENT AND CUSTOMIZATION

This track will guide you through the process of developing a Proof of Concept
(POC) for Generative AI and tailoring it to meet your organization’s needs.
Learn how to design and build a successful POC, test its functionality, and
ensure it aligns with your business goals. We will also cover the customization
of AI models such as LLMs to suit your industry or organization’s unique
requirements. By the end of this track, you’ll be prepared to develop, test, and
refine generative AI solutions that deliver tangible results.

Who should attend: This track is a NON-TECHNICAL: Business leaders interested in
Generative AI strategy and use cases should attend.

Topics Include:

 * Designing a Generative AI Proof of Concept (POC)
 * Customizing AI Models for Your Industry or Organization
 * Testing and Validating AI POC Performance
 * Iterative Development: Refining AI Solutions
 * Addressing Common POC Challenges
 * Best Practices for Generative AI POC Success
 * LLMs
 * Image and Video Generative AI
 * Multimodal AI
 * Generative AI Platforms and Tools
 * Fine-Tuning and Customization
 * Prompt Engineering

GENERATIVE AI: 3 - DEPLOYMENT AT SCALE

This track focuses on transitioning from a successful Proof of Concept (POC) to
full-scale deployment of Generative AI solutions. Learn how to manage the
complexities of scaling AI initiatives, including integrating them into existing
systems, managing data flows, and ensuring performance consistency across
multiple environments. We will also discuss how to maintain agility and
adaptability as your AI solutions grow in scale. This track will prepare you to
navigate the critical stages of deployment and scaling with confidence.

Who should attend: This track is a NON-TECHNICAL: Business leaders interested in
Generative AI strategy and use cases should attend.

Topics Include:

 * Transitioning from POC to Full-Scale AI Deployment
 * Integrating Generative AI into Existing Infrastructure
 * Managing Data and Compute Requirements at Scale
 * Ensuring Performance Consistency Across Environments
 * Overcoming Scalability Challenges
 * Best Practices for AI System Monitoring and Maintenance
 * LLMs
 * Image and Video Generative AI
 * Multimodal AI
 * Generative AI Platforms and Tools
 * Prompt Engineering

GENERATIVE AI: 4 - APPLICATIONS & USE CASES

In this track, we will examine real-world applications of Generative AI and
explore use cases where the technology is being implemented successfully across
various industries. Learn from detailed case studies on how leading companies
are using Generative AI such as LLMs and multimodal tools to drive innovation,
enhance efficiency, and create new business opportunities. This track will
provide a clear understanding of how to apply generative AI in your organization
and offer practical insights into what success looks like.

Who should attend: This track is NON-TECHNICAL: Business leaders, strategists,
and AI enthusiasts who want to understand real-world applications of Generative
AI should attend.

Topics Include:

 * Case Studies: Generative AI in Action
 * Industry-Specific Applications of Generative AI
 * Key Success Factors for Generative AI Deployments
 * Generative AI for Process Automation and Efficiency
 * Leveraging Generative AI for ROI
 * Measuring the Impact of Generative AI on Business Outcomes
 * LLMs
 * Image and Video Generative AI
 * Multimodal AI
 * Generative AI Platforms and Tools
 * Fine-Tuning and Customization
 * Prompt Engineering

PRODUCTIVITY TOOLS

In this track, we will explore AI-driven productivity tools that are
transforming the workplace. Learn how to leverage automation, AI agents, and
collaborative platforms to streamline workflows, reduce manual tasks, and
increase efficiency across your organization. We will discuss real-world
applications of these tools, how to choose the right ones for your business, and
best practices for integrating them seamlessly into your existing systems. This
track will provide you with actionable strategies to optimize your team’s
productivity and enhance overall business performance.

Who should attend: This track is a NON-TECHNICAL: Business leaders interested in
AI enhanced productivity should attend.  This track does NOT require engineering
backgrounds. 

Topics Include:

 * Coding Assistants 
 * LLMs 
 * Copywriting
 * Research and Information Retrieval 
 * Intelligent Analytics Tools
 * AI-Powered Automation for Workplace Efficiency
 * Collaborative AI Tools for Teams
 * Choosing the Right Productivity Tools for Your Business
 * Case Studies: AI Productivity Tools in Action
 * Streamlining Workflows with AI Agents
 * Best Practices for Tool Integration and Adoption

RAG & LEVERAGING PROPRIETARY DATA

In this track, we will explore Retrieval-Augmented Generation (RAG), a powerful
technique that combines large language models (LLMs) with proprietary data to
produce highly relevant, context-specific insights. Learn how to leverage your
organization’s unique data to enhance AI outputs and create more tailored
solutions. We will cover how RAG works, its potential applications across
industries, and best practices for incorporating proprietary data into AI
systems. This track will provide you with the knowledge needed to unlock value
from your internal data and improve decision-making processes.

Who should attend: This track is NON-TECHNICAL: Business leaders and data
strategists interested in utilizing proprietary data through AI should attend.
No engineering background is required.

Topics Include:

 * What Is Retrieval-Augmented Generation (RAG)?
 * Leveraging Proprietary Data in AI Models
 * Enhancing LLM Outputs with Internal Data
 * Use Cases: RAG in Action Across Industries
 * Data Privacy and Security Considerations
 * Best Practices for Implementing RAG in Your Organization
 * Alternative Approaches to Leverage Proprietary Data 
 * RAG vs Fine Tuning vs Prompt Engineering
 * Database Strategies & Techniques for Aggregating Your Unique Data
 * Vector Databases

INDUSTRY TRACKS

Our industry tracks include topics & use cases specific to your industry. No
technical expertise required. These tracks were designed for our executive-level
attendees holding non-technical roles. Click to expand and read more…

EDUCATION

This track will focus on how AI is revolutionizing education, from personalized
learning experiences to enhancing operational efficiency for educational
institutions. Learn how AI is being used to improve student outcomes, streamline
administrative tasks, and foster innovation. This track will give education
executives the tools to incorporate AI into their institutions and enhance
learning experiences.

Who should attend: This track is NON-TECHNICAL: Education executives,
administrators, professors and teachers should attend.

Topics Include:

 * AI for Personalized Learning and Student Success
 * Streamlining Administrative Processes with AI
 * AI in Curriculum Development and Assessment
 * Enhancing Engagement with AI-Powered Tools
 * AI for Predicting and Improving Student Retention
 * Preventing Cheating
 * Future Trends in AI for Education

ENTERTAINMENT

This track explores how AI is transforming the entertainment industry, from
content creation and distribution to personalized experiences and audience
engagement. Learn how top media companies are leveraging AI to streamline
production, enhance creativity, and improve audience targeting. This track will
help entertainment executives understand the impact of AI on their industry and
how to capitalize on the latest trends and technologies.

Who should attend: This track is NON-TECHNICAL: Entertainment executives, media
professionals, and decision-makers in the entertainment industry should attend.

Topics Include:

 * AI-Driven Content Creation and Personalization
 * Optimizing Audience Engagement with AI
 * AI for Video, Film, and Music Production
 * AI in Content Distribution and Rights Management
 * Predictive Analytics for Media Success
 * Future Trends in AI for Entertainment

FINANCIAL SERVICES: BANKS

This track will focus on how AI is reshaping banking services, from customer
experience to risk management and regulatory compliance. Learn how leading banks
are using AI to drive innovation, enhance security, and optimize operations. We
will cover key AI applications in banking, from fraud detection to personalized
financial services, to help executives stay ahead in the digital age.

Who should attend: This track is NON-TECHNICAL: Banking executives, strategists,
and decision-makers interested in AI for financial services should attend.

Topics Include:

 * AI for Fraud Detection and Risk Management
 * Personalizing Customer Experience with AI
 * AI in Regulatory Compliance and Reporting
 * Optimizing Banking Operations with AI
 * AI in Loan Underwriting and Credit Scoring
 * Future Trends in AI for Banking

FINANCIAL SERVICES: ASSET MANAGEMENT

This track will dive into how AI is transforming asset management by enhancing
data analysis, portfolio optimization, and risk management. Learn how AI is used
to gain deeper insights into market trends, improve investment strategies, and
automate decision-making. This track will prepare asset management executives to
harness AI to stay competitive and drive value.

Who should attend: This track is NON-TECHNICAL: Asset management executives and
financial strategists should attend.

Topics Include:

 * AI for Market Trend Analysis and Forecasting
 * Portfolio Optimization with AI
 * Automating Investment Strategies with AI
 * AI-Driven Risk Management in Asset Management
 * Enhancing Customer Engagement with AI
 * Future Trends in AI for Asset Management

FINANCIAL SERVICES: INSURANCE

This track will cover the evolving role of AI in the insurance industry,
focusing on how AI is transforming underwriting, claims processing, and customer
service. Learn how insurers are leveraging AI to improve efficiency, reduce
costs, and provide more personalized coverage. This track will give insurance
executives the knowledge to implement AI solutions that drive better outcomes
for their businesses and customers.

Who should attend: This track is NON-TECHNICAL: Insurance executives and
decision-makers interested in AI for the insurance industry should attend.

Topics Include:

 * AI for Underwriting and Risk Assessment
 * Streamlining Claims Processing with AI
 * AI-Driven Customer Service and Personalization
 * Fraud Detection and Prevention Using AI
 * AI in Insurance Product Development
 * Future Trends in AI for Insurance

GOVERNMENT

This track will explore how AI is being adopted by governments to improve public
services, streamline operations, and enhance decision-making. Learn how AI can
help government agencies drive efficiencies, better engage citizens, and improve
security. This track will provide government leaders with insights on how to
leverage AI for smarter governance and improved public outcomes.

Who should attend: This track is NON-TECHNICAL: Government executives and
decision-makers involved in AI policy, operations, or public services should
attend.

Topics Include:

 * AI for Public Service Optimization
 * Enhancing Security and Data Privacy with AI
 * AI for Citizen Engagement and Communication
 * AI-Driven Decision-Making and Policy Planning
 * AI for Infrastructure and Urban Development
 * Future Trends in AI for Government
 * Law Enforcement and AI

HEALTHCARE: CARE PROVIDERS

This track will examine how AI is revolutionizing healthcare delivery for care
providers, from improving patient outcomes to optimizing operations. Learn how
AI is being used to assist in diagnosis, personalize treatments, and streamline
workflows. This track will provide healthcare executives with insights into the
opportunities and challenges of AI in care delivery.

Who should attend: This track is NON-TECHNICAL: Healthcare executives and
decision-makers in care should attend.

Topics Include:

 * AI for Clinical Decision Support
 * AI Enhanced Patient Experience
 * Personalized Medicine with AI
 * Optimizing Care Delivery with AI Tools
 * AI in Medical Imaging and Diagnostics
 * AI in Patient Monitoring and Telehealth
 * Medical Devices
 * Wearable Devices
 * AI driven Surgery
 * Hospital and Care Provider Automation
 * Future Trends in AI for Healthcare Providers

HEALTHCARE: LIFE SCIENCES

This track will explore how AI is advancing the life sciences and pharmaceutical
industry by accelerating drug discovery, improving clinical trials, and
optimizing R&D processes. Learn how AI is helping life sciences companies bring
innovations to market faster while reducing costs. This track will equip life
sciences and pharmaceutical industry executives with the knowledge to drive AI
adoption and enhance their competitive edge.

Who should attend: This track is NON-TECHNICAL: Life sciences and pharmaceutical
industry executives as well as professionals focused on R&D, clinical trials,
and drug development should attend.

Topics Include:

 * AI in Drug Discovery and Development
 * Accelerating Clinical Trials with AI
 * AI in Genomics and Personalized Medicine
 * Optimizing R&D Processes with AI
 * AI for Regulatory Compliance and Risk Management
 * Future Trends in AI for Life Sciences

HEALTHCARE: PAYERS

This track focuses on how AI is helping healthcare payers improve operational
efficiency, enhance member experiences, and optimize cost management. Learn how
leading insurers and payers are leveraging AI to automate claims, predict member
behavior, and drive personalized care plans. This track will provide healthcare
payer executives with the strategies to effectively integrate AI into their
operations.

Who should attend: This track is NON-TECHNICAL: Healthcare payer executives and
decision-makers should attend.

 

Topics Include:

 * AI for Claims Automation and Fraud Detection
 * Predictive Analytics for Member Behavior and Risk
 * Personalizing Member Care Plans with AI
 * AI for Cost Optimization and Efficiency
 * Improving Customer Service with AI Tools
 * Population Health
 * Future Trends in AI for Healthcare Payers

MANUFACTURING & SUPPLY CHAIN

This track will cover how AI is revolutionizing manufacturing and supply chain
operations by improving efficiency, reducing costs, and enabling predictive
maintenance. Learn how companies are using AI to enhance production processes,
optimize logistics, and improve quality control. This track will provide
manufacturing and supply chain executives with the knowledge to integrate AI
into their operations for long-term success.

Who should attend: This track is NON-TECHNICAL: Manufacturing and supply chain
executives and decision-makers should attend.

Topics Include:

 * AI for Predictive Maintenance and Quality Control
 * Optimizing Supply Chain Operations with AI
 * AI-Driven Automation in Manufacturing
 * Enhancing Logistics with AI
 * AI for Inventory and Demand Forecasting
 * Future Trends in AI for Manufacturing and Supply Chain
 * Improved Safety with AI
 * Improving Throughput with AI

RETAIL, CPG, & ECOMMERCE

This track will explore how AI is transforming retail, consumer packaged goods
(CPG), and eCommerce. Learn how companies are using AI to create personalized
shopping experiences, predict consumer demand, and improve logistics. This track
will help retail and eCommerce executives understand how to harness AI for
business growth and competitive advantage.

Who should attend: This track is NON-TECHNICAL: Retail, CPG, and eCommerce
executives and decision-makers should attend.

Topics Include:

 * AI for Personalized Customer Experiences
 * Predicting Consumer Demand with AI
 * Optimizing Inventory with AI
 * Shopping Experience and AI
 * AI Driven Pricing
 * Checkoutless Technology
 * AI-Driven Marketing and Customer Engagement
 * AI for Product Recommendations 
 * Future Trends in AI for Retail and eCommerce

SAAS

This track will explore how AI is being utilized by SaaS companies to enhance
product offerings, improve customer retention, and drive business growth. Learn
how AI can help SaaS providers create more personalized user experiences,
optimize pricing strategies, and streamline product development. This track will
equip SaaS executives with the strategies needed to leverage AI for increased
competitiveness and innovation.

Who should attend: This track is NON-TECHNICAL: SaaS executives, product
leaders, and decision-makers should attend.

Topics Include:

 * AI for Personalizing SaaS User Experiences
 * Optimizing Product Development with AI
 * AI-Driven Pricing Strategies for SaaS
 * Enhancing Customer Retention with AI
 * AI in SaaS Product Innovation
 * Future Trends in AI for SaaS
 * SaaS company Automation via AI
 * Software Pricing in the Age of AI

JOB FUNCTION TRACKS

Job function tracks focus on how AI relates to certain roles in enterprise
settings. The focus of these tracks are cross industry.

AI GOVERNANCE, REGULATION, & COMPLIANCE

This track will address the critical issues of AI governance, regulation, and
compliance. Learn how to navigate the evolving regulatory landscape, ensure
responsible AI use, and mitigate risks associated with AI deployment. We will
explore frameworks for ethical AI, data privacy concerns, and how to implement
compliance strategies that align with global regulations. This track is
essential for leaders who need to understand the broader legal and ethical
implications of AI.

Who should attend: This track is NON-TECHNICAL: Governance, compliance officers,
legal professionals, and business leaders responsible for AI regulation and
policy should attend.

Topics Include:

 * Navigating AI Regulations and Compliance Requirements
 * Ethical AI Frameworks and Responsible Use
 * Data Privacy and Security in AI Deployments
 * Implementing AI Governance Structures
 * Mitigating AI Risks and Biases
 * Legality of Various Types of AI Projects
 * Future Trends in AI Regulation and Governance

CAIO, CIO, & IT LEADERS

This track will provide insights into how AI is transforming the roles of CAIOs,
CIOs, and IT leaders. Learn how to lead successful AI initiatives, manage
infrastructure for AI deployments, and drive innovation across your
organization. We will cover the strategic role of IT leaders in integrating AI
solutions into enterprise systems, ensuring scalability, and fostering a culture
of innovation. This track will help IT executives understand the key elements of
leading AI-driven transformation.

Who should attend: This track is NON-TECHNICAL: CAIOs, CIOs, and IT leaders
responsible for AI strategy and digital transformation should attend.

Topics Include:

 * Leading AI Initiatives and Digital Transformation
 * Building Scalable AI Infrastructure
 * Integrating AI Solutions Across the Enterprise
 * Managing Data and IT Resources for AI
 * Fostering Innovation Through AI in IT
 * Future Trends in AI for IT Leadership

CREATOR TOOLS

This track will explore how AI is transforming the creative process with tools
that help content creators generate, enhance, and distribute their work more
efficiently. Learn how AI-powered tools are being used to create visual, audio,
and written content, automate editing, and optimize creative workflows. This
track will help creators and executives understand how AI can accelerate and
enhance the creative process across various mediums.

Who should attend: This track is NON-TECHNICAL: Content creators, creative
professionals, and media executives should attend.

Topics Include:

 * AI for Content Generation: Visuals, Audio, and Text
 * Automating Content Editing and Enhancement
 * AI Generated Music 
 * AI Generated Video
 * AI-Driven Tools for Creative Optimization
 * AI in Content Distribution and Audience Targeting
 * Enhancing Creativity with AI Collaboration Tools
 * Future Trends in AI for Creator Tools

CYBERSECURITY

This track will explore how AI is enhancing cybersecurity by improving threat
detection, automating responses, and mitigating risks. Learn how AI-powered
tools are helping organizations stay ahead of cyber threats by detecting
anomalies, strengthening network defenses, and reducing incident response times.
This track will provide cybersecurity professionals with insights into the
latest AI-driven solutions to safeguard organizational assets.

Who should attend: This track is NON-TECHNICAL: Cybersecurity professionals, IT
security leaders, and executives focused on AI-enhanced security should attend.

Topics Include:

 * AI for Threat Detection and Response
 * Automating Cybersecurity with AI Tools
 * Using AI to Identify Anomalies and Insider Threats
 * AI-Driven Security for Networks and Data
 * Enhancing Incident Response with AI
 * Future Trends in AI for Cybersecurity

CX & CUSTOMER SERVICE

This track will explore how AI is transforming customer service and the overall
customer experience (CX). Learn how AI can be used to automate customer
interactions, enhance personalization, improve service efficiency, and retain
customers. We will discuss real-world use cases and tools that can help your
organization optimize CX and build lasting customer loyalty. This track will
equip customer service leaders with strategies to implement AI for a more
responsive and engaging customer experience.

Who should attend: This track is NON-TECHNICAL: Customer service leaders, CX
professionals, and executives responsible for customer engagement should attend.

Topics Include:

 * AI-Powered Customer Service Automation
 * Enhancing Personalization in CX with AI
 * Predictive Analytics for Customer Needs
 * AI-Driven Chatbots and Virtual Assistants
 * Measuring and Improving CX with AI
 * Conversational Agents
 * Future Trends in AI for CX & Customer Service
 * Customer Retention with AI

DATA ANALYTICS & BI

This track will explore how AI is enhancing data analytics and business
intelligence (BI) by providing deeper insights and predictive capabilities.
Learn how AI tools are transforming the way organizations gather, analyze, and
act on data. We will cover best practices for implementing AI in BI workflows,
automating data processes, and using AI to drive more informed decision-making.
This track will empower BI and analytics leaders to maximize the potential of AI
in their roles.

Who should attend: This track is NON-TECHNICAL: Data analysts, BI professionals,
and business leaders responsible for analytics should attend.

Topics Include:

 * AI-Enhanced Data Analytics: From Descriptive to Predictive
 * Automating Data Processes with AI
 * Leveraging AI for Real-Time Business Insights
 * AI in Data Visualization and Reporting
 * Using AI to Improve Decision-Making
 * Future Trends in AI for Data Analytics & BI

MARKETING

This track will focus on how AI is reshaping marketing strategies by enhancing
personalization, targeting, and campaign optimization. Learn how to use AI to
better understand customer behavior, optimize ad spend, and create more
impactful marketing campaigns. We will cover real-world applications of AI in
digital marketing, including predictive analytics, customer segmentation, and
content creation. This track will provide marketing leaders with the tools they
need to acquire new customers with AI.

Who should attend: This track is NON-TECHNICAL: Marketing executives, CMOs, and
marketing professionals looking to leverage AI for campaign success should
attend.

Topics Include:

 * AI-Driven Personalization and Customer Segmentation
 * Optimizing Ad Spend with AI Analytics
 * Using Predictive Analytics for Marketing Campaigns
 * AI for Content Creation and Creative Strategy
 * AI-Enhanced Social Media Marketing
 * Future Trends in AI for Marketing
 * Customer acquisition with AI

PRODUCT MANAGERS

This track will cover how AI is influencing product management by enhancing
product development, customer research, and go-to-market strategies. Learn how
AI tools can help you prioritize features, personalize product experiences, and
better understand customer needs. We will explore how to integrate AI into
product roadmaps and measure its impact on product success. We will also examine
how to build world class AI products. This track will provide product managers
with the insights needed to succeed in an AI driven future.

Who should attend: This track is NON-TECHNICAL: Product managers and product
leaders responsible for product strategy and development should attend.

Topics Include:

 * AI in Product Development: Prioritizing Features
 * Personalizing Product Experiences with AI
 * Using AI for Customer Research and Insights
 * AI-Enhanced Product Roadmaps
 * Building AI Products
 * Measuring AI’s Impact on Product Success
 * Future Trends in AI for Product Management

SOFTWARE ENGINEERING [TECHNICAL]

This track will focus on how AI is revolutionizing software engineering, from
automating code generation to enhancing development workflows. Learn how AI
tools and platforms are helping engineers improve code quality, accelerate
development cycles, and optimize performance. We will cover advanced AI-driven
solutions for testing, debugging, and scaling software systems, giving engineers
the insights they need to stay ahead in the evolving landscape of AI-driven
software development. This track will also cover the role of software engineers
in complex AI and ML projects across different organizations.

Who should attend: This track is TECHNICAL: Software engineers, developers, and
technical leaders involved in AI-driven software development should attend.

Topics Include:

 * AI for Automated Code Generation and Testing
 * Optimizing Software Development with AI Tools
 * AI in Debugging and Performance Optimization
 * Machine Learning in Software Engineering
 * AI-Driven DevOps and Continuous Integration
 * DevOps for AI driven software projects
 * Future Trends in AI for Software Engineering

SALES

This track will focus on how AI is transforming sales by automating lead
generation, enhancing customer interactions, and improving sales forecasting.
Learn how to leverage AI to identify the best prospects, personalize outreach,
and close deals faster. We will explore AI-powered CRM tools, predictive sales
analytics, and how AI is reshaping the future of sales strategies. This track
will provide sales executives with insights into using AI to drive more revenue
and improve customer relationships.

Who should attend: This track is NON-TECHNICAL: Sales executives, sales leaders,
and decision-makers looking to improve sales processes with AI should attend.

Topics Include:

 * AI for Lead Generation and Qualification
 * Personalizing Sales Outreach with AI Tools
 * AI-Enhanced CRM Systems for Sales Optimization
 * Predictive Sales Analytics for Forecasting
 * Automating Sales Workflows with AI
 * Future Trends in AI for Sales

SOCIETY TRACKS

These tracks explore the profound impact of artificial intelligence on societal
structures, human interactions, and global challenges. The focus of these tracks
are cross industry.

AI ETHICS & ALIGNMENT

This track will explore the ethical challenges of AI and the need to ensure AI
systems align with human values. As AI grows more powerful, questions of
fairness, transparency, and accountability become more pressing. Learn how to
design AI systems that are ethically sound and aligned with societal goals, from
eliminating bias in algorithms to ensuring AI remains under human control. This
track is crucial for leaders who are responsible for the ethical governance of
AI within their organizations.

Who should attend: This track is NON-TECHNICAL: Ethics officers, policymakers,
and business leaders responsible for AI governance and alignment should attend.

Topics Include:

 * Ensuring Fairness and Transparency in AI
 * Ethical AI Design: Eliminating Bias
 * AI Alignment with Human Values and Goals
 * Accountability and Responsibility in AI Systems
 * Regulatory Frameworks for AI Ethics
 * Future Trends in AI Ethics and Alignment

EMERGING PARALLEL TECHNOLOGIES

This track will examine the emerging parallel technologies that are evolving
alongside AI, such as blockchain and quantum computing. Learn how these
technologies intersect with AI to create new possibilities in fields like data
security, computation, and innovation. We will discuss how blockchain can
enhance AI transparency and how quantum computing could revolutionize AI’s
capabilities. This track will provide insights into the cutting-edge
technologies that are shaping the future alongside AI.

Who should attend: This track is NON-TECHNICAL: Business leaders, strategists,
and executives interested in the intersection of AI and emerging technologies
should attend.

Topics Include:

 * AI and Blockchain: Enhancing Security and Transparency
 * Quantum Computing’s Potential to Revolutionize AI
 * Emerging Technologies and Their Impact on AI
 * The Convergence of AI with Blockchain and Quantum
 * Opportunities and Challenges in Parallel Technologies
 * Future Trends in AI, Blockchain, and Quantum Computing

GREEN AI

This track will explore the environmental impact of AI, focusing on how we can
make AI more energy-efficient and sustainable. As AI systems continue to grow in
power and scale, their energy consumption rises, posing risks to the
environment. Learn about cutting-edge research and best practices for reducing
the carbon footprint of AI, from optimizing models to using renewable energy in
data centers. This track will help executives and thought leaders understand how
AI can be aligned with sustainability goals to create a greener future.

Who should attend: This track is NON-TECHNICAL: Sustainability officers, AI
strategists, and business leaders interested in making AI more environmentally
friendly should attend.

Topics Include:

 * Reducing the Carbon Footprint of AI
 * Energy-Efficient AI Models and Algorithms
 * Leveraging Renewable Energy for AI Infrastructure
 * Sustainable Data Centers and AI Systems
 * Balancing AI Innovation with Environmental Responsibility
 * Future Trends in Green AI and Sustainability

SOCIAL IMPACT OF AI

This track will address the broad social impacts of AI, covering topics such as
job displacement, inequality, and the opportunities AI creates for social good.
AI has the potential to reshape entire industries, influence economies, and
impact the global workforce. Learn how to harness AI for positive social change
while addressing its potential risks. This track is a must for leaders looking
to understand the wider societal implications of AI and how to foster an
inclusive AI future.

Who should attend: This track is NON-TECHNICAL: Business leaders, policymakers,
and social impact professionals who are focused on the societal implications of
AI should attend.

Topics Include:

 * The Impact of AI on Jobs and the Workforce
 * Addressing Inequality in the Age of AI
 * AI for Social Good: Healthcare, Education, and Beyond
 * Mitigating the Negative Effects of AI on Society
 * AI’s Role in Shaping Global Economies
 * Future Trends in the Social Impact of AI

SUMMITS

The Summits at Ai4 unite special interest groups through both content sessions
and dedicated networking opportunities. The goal of these Summits is to help
build community amongst like-minded individuals.

AI STARTUPS & VCS

The world’s top VC’s and early-stage AI startup founders take the stage. Startup
founders give shorter, 10 minute “pitch” presentations. This track will provide
insight into the most cutting edge innovations going on in AI, as well as how
leading investors in AI evaluate these transformative opportunities.

Who should attend: This track is a NON-TECHNICAL: Startup Founders, Investors,
and Leaders interested in the cutting edge of AI and the industry outlook should
attend. 

Topics Include:

 * Cutting Edge AI Products 
 * The AI Industry Outlook
 * Trends in the AI Startup Ecosystem
 * What VCs Look for in AI Investments
 * Scaling AI Startups: Challenges and Opportunities
 * Funding Opportunities for AI Startups
 * AI Disruption Across Industries
 * Future Trends in AI Startups and VC Investments

AI RESEARCH SUMMIT [TECHNICAL]

This technical track will bring together leading researchers and practitioners
to discuss the latest advancements in AI research. Explore cutting-edge
breakthroughs in AI, from novel algorithms to new approaches in machine
learning, neural networks, and natural language processing. This summit is
designed to facilitate deep technical discussions and collaborations, providing
a platform for the AI research community to exchange ideas and push the
boundaries of AI innovation. Most presenters will also have a poster exhibition!

Who should attend: This track is TECHNICAL: AI researchers, data scientists,
machine learning engineers, and technical experts involved in AI research should
attend.

Topics Include:

 * Breakthroughs in Machine Learning and Neural Networks
 * Advancements in Natural Language Processing (NLP)
 * New Approaches in AI Algorithms and Architectures
 * Multimodal, Ensemble and Agents
 * AI Research for Robotics and Autonomous Systems
 * Cutting Edge Research of all Types
 * Future Trends in AI Research and Development

AI POLICY SUMMIT

This track will address the key policy challenges and opportunities that come
with the rise of AI. As AI reshapes industries and societies, governments and
policymakers are grappling with how to regulate and govern this powerful
technology. Learn about the current state of AI regulation, global AI policy
frameworks, and the role of policymakers in shaping the future of AI. This
summit will offer insights into balancing innovation with ethical
considerations, privacy concerns, and the public good.

Who should attend: This track is NON-TECHNICAL: Policymakers, business leaders,
and professionals involved in AI governance and regulatory policy should attend.

Topics Include:

 * Current AI Policy and Regulatory Frameworks
 * Balancing Innovation with Ethical Governance
 * Global Perspectives on AI Regulation
 * AI and Data Privacy: Policy Considerations
 * The Role of Governments in AI Development
 * Future Trends in AI Policy and Regulation

BEGINNER? START HERE

If you are new to AI, this is the track for you! We will cover the basics – what
is AI? How can AI be of use to organizations and workers? What are the critical
ingredients for deriving value from AI? What are the challenges and risks
associated with AI? How is the AI market shaping up and who are the major
players and companies? All are welcome, and expect to leave these sessions
feeling more confident for the rest of the event sessions. This track will take
place in the beginning of the Ai4 2025 conference. You will leave the Ai4 2025
conference ready to educate your colleagues!

Who should attend: AI Beginners! No AI experience required!

Topics Include:

 * What is AI?
 * What is Responsible AI? 
 * Common Use Cases for AI
 * Foundational Models
 * Industry Application of AI
 * Challenges of AI Adoption

DIVERSITY IN AI

This track will focus on the importance of fostering diversity in AI
development, from representation in AI teams to ensuring diverse perspectives
are considered in AI applications. As AI systems increasingly influence society,
it is crucial that the technology reflects the diversity of the world it serves.
Learn how companies are promoting diversity in AI development, the benefits of
diverse teams, and strategies to overcome the challenges of bias in AI systems.
This track will inspire leaders to create more inclusive AI ecosystems that
drive innovation and equity.

Who should attend: This track is NON-TECHNICAL: Business leaders, DEI
professionals, and executives focused on fostering diversity within AI teams and
technologies should attend.

Topics Include:

 * Promoting Diversity in AI Teams and Leadership
 * Reducing Bias in AI Systems
 * The Role of Diversity in AI Innovation
 * Strategies for Building Inclusive AI Ecosystems
 * Case Studies: Companies Leading the Way in AI Diversity
 * Future Trends in Diversity and Inclusion in AI

TECHNICAL TRACKS

Our technical tracks provide a platform for researchers, engineers, and
practitioners to explore cutting-edge innovations in machine learning, deep
learning, natural language processing, computer vision, robotics, and more.

AI AGENTS [TECHNICAL]

This track will delve into the technical aspects of AI agents—systems designed
to autonomously perform complex tasks while reasoning and interacting with their
environments. Learn about the latest advancements in agent architectures,
multi-agent systems, and how agents can be used to solve real-world problems.
We’ll cover the technical details behind building, training, and deploying
intelligent agents across various use cases.

Who should attend: This track is TECHNICAL: AI engineers, data scientists, and
researchers involved in the development and deployment of AI agents should
attend.

Topics Include:

 * Architectures for Autonomous AI Agents
 * Multi-Agent Systems: Coordination and Communication
 * Training AI Agents: Reinforcement Learning and Beyond
 * AI Agents for Real-World Applications
 * Ethical Considerations in Autonomous Agents
 * Future Trends in AI Agents

COMPUTER VISION [TECHNICAL]

This track will explore the technical foundations and innovations in computer
vision, from image recognition and object detection to advanced visual
understanding. Learn how cutting-edge algorithms and neural networks are
transforming industries like healthcare, automotive, and retail. We will discuss
the latest advancements in deep learning for computer vision, challenges in
model accuracy, and how to optimize vision models for real-world applications.

Who should attend: This track is TECHNICAL: AI engineers, data scientists, and
researchers working in computer vision should attend.

Topics Include:

 * Deep Learning for Image Recognition and Object Detection
 * Advanced Techniques in Visual Understanding
 * Optimizing Computer Vision Models for Scale
 * Applications of Computer Vision in Healthcare, Automotive, and More
 * Addressing Bias and Accuracy Challenges in Vision Models
 * Future Trends in Computer Vision
 * Deepfakes

CUTTING EDGE MODEL ARCHITECTURES [TECHNICAL]

This track will explore the latest advancements in AI model architectures,
focusing on state-of-the-art techniques that are pushing the boundaries of AI
performance. Learn about new neural network architectures, optimization
techniques, and innovations in transfer learning. We will also cover the
technical challenges of deploying cutting-edge models in production environments
and optimizing them for performance at scale.

Who should attend: This track is TECHNICAL: AI researchers, data scientists, and
machine learning engineers involved in model development should attend.

Topics Include:

 * Next-Generation Neural Network Architectures
 * Innovations in Transfer Learning and Meta-Learning
 * Optimizing AI Models for Performance at Scale
 * Overcoming Challenges in Model Deployment
 * Cutting-Edge Architectures for NLP, Vision, and Reinforcement Learning
 * Creative Approaches to Difficult Technical Problems
 * Ensemble Approaches
 * Future Trends in AI Model Architecture

DATA PREP FOR MODELING [TECHNICAL]

This track will focus on the technical challenges and best practices in
preparing data for AI and machine learning models. Learn how to clean,
preprocess, and transform data to ensure optimal model performance. We will
cover advanced techniques for feature engineering, handling imbalanced datasets,
and preparing large-scale datasets for AI applications. This track will help
data scientists and engineers streamline the data preparation process for more
efficient modeling.

Who should attend: This track is TECHNICAL: Data engineers, data scientists, and
AI professionals responsible for data preparation should attend.

Topics Include:

 * Data Cleaning and Preprocessing for AI Models
 * Feature Engineering Techniques for Model Performance
 * Handling Imbalanced Datasets in AI Applications
 * Scaling Data Prep for Large Datasets
 * Data Transformation and Encoding Methods
 * Future Trends in Data Preparation for AI

GENERATIVE MODELS: LLMS TO GANS TO SLMS [TECHNICAL]

This track will cover the technical details of generative models, from large
language models (LLMs) to generative adversarial networks (GANs) and small
language models (SLMs). Explore the underlying algorithms, architectures, and
applications of generative models across a variety of domains. We will also
discuss challenges in training and deploying these models and how to fine-tune
them for specific tasks.

Who should attend: This track is TECHNICAL: AI researchers, data scientists, and
engineers working on generative models should attend.

Topics Include:

 * Large Language Models (LLMs): Training and Fine-Tuning
 * GANs: Adversarial Learning and Applications
 * Small Language Models (SLMs): Efficient Architectures
 * Applications of Generative Models in NLP, Vision, and More
 * Overcoming Training Challenges in Generative Models
 * Future Trends in Generative AI

HARDWARE: CHIPS, GPUS, & BEYOND [TECHNICAL]

This track will dive into the hardware advancements driving the next wave of AI
innovation. From GPUs to custom AI chips, learn about the technologies that are
enabling more powerful and efficient AI computations. We will cover the
evolution of hardware for AI workloads, discuss the importance of
hardware-software co-design, and examine the performance trade-offs in choosing
the right hardware for your AI projects.

Who should attend:This track is TECHNICAL: Hardware engineers, system
architects, and AI professionals working with advanced AI hardware should
attend.

Topics Include:

 * AI Chips: Architectures and Capabilities
 * GPUs for AI: Scaling Performance
 * Hardware-Software Co-Design for AI Efficiency
 * Balancing Power, Performance, and Cost in AI Hardware
 * Custom AI Accelerators for Specific Workloads
 * Future Trends in AI Hardware

ML OPS & PLATFORMS [TECHNICAL]

This track will focus on the technical challenges and best practices for
managing machine learning (ML) operations at scale. Learn how to build and
maintain ML pipelines, automate workflows, and deploy models in production
environments. We will cover the latest tools and platforms for ML Ops, ensuring
your team can manage the end-to-end machine learning lifecycle efficiently and
reliably.

Who should attend: This track is TECHNICAL: Data engineers, ML engineers, and IT
professionals involved in machine learning operations and infrastructure should
attend.

Topics Include:

 * Building and Managing ML Pipelines
 * Automating ML Workflows and Deployment
 * Monitoring and Scaling ML Models in Production
 * Best Practices for Model Versioning and Experimentation
 * ML Ops Tools and Platforms
 * Future Trends in ML Ops

RAG [TECHNICAL]

This track will dive into Retrieval-Augmented Generation (RAG), a cutting-edge
technique that combines generative AI with retrieval systems. Learn how to build
RAG models that enhance language model outputs with real-time data retrieval. We
will cover the technical aspects of implementing RAG, from model training to
integrating retrieval systems, and explore real-world use cases that show the
value of combining retrieval with generative AI.

Who should attend: This track is TECHNICAL: Data scientists, AI engineers, and
researchers working on generative AI and retrieval systems should attend.

Topics Include:

 * Retrieval-Augmented Generation: Key Concepts and Architectures
 * Integrating Retrieval Systems with Generative Models
 * Building and Training RAG Models
 * Optimizing RAG for Real-Time Data Retrieval
 * Applications of RAG in Search, Knowledge Management, and More
 * Future Trends in Retrieval-Augmented Generation

RECOMMENDER SYSTEMS [TECHNICAL]

This track will focus on the technical intricacies of building and optimizing
recommender systems. Learn about collaborative filtering, content-based
filtering, and hybrid approaches to recommendation algorithms. We will explore
how companies are deploying recommender systems to personalize user experiences
and the engineering challenges involved in scaling these systems across large
datasets.

Who should attend: This track is TECHNICAL: AI engineers, data scientists, and
machine learning practitioners building and optimizing recommender systems
should attend.

Topics Include:

 * Collaborative and Content-Based Filtering Techniques
 * Hybrid Recommender Systems: Combining Multiple Approaches
 * Scaling Recommender Systems for Large Datasets
 * Optimizing Recommendation Algorithms for Personalization
 * Evaluating Recommender System Performance
 * Future Trends in Recommender Systems

REINFORCEMENT LEARNING [TECHNICAL]

This track will cover the latest advancements in reinforcement learning (RL) and
its applications across various industries. Learn how RL models are trained, the
challenges in reward engineering, and the technical details of deploying RL in
real-world environments. We will discuss both on-policy and off-policy RL
methods, multi-agent RL, and the growing intersection of RL with deep learning.

Who should attend: This track is TECHNICAL: AI researchers, machine learning
engineers, and data scientists working on or interested in reinforcement
learning should attend.

Topics Include:

 * Fundamentals of Reinforcement Learning: On-Policy and Off-Policy Methods
 * Multi-Agent Reinforcement Learning
 * Reward Engineering and Policy Optimization
 * Applications of RL in Robotics, Gaming, and Operations Research
 * Combining RL with Deep Learning
 * Future Trends in Reinforcement Learning
 * Human in the Loop


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AUGUST 11-13, 2025 | MGM GRAND, Las Vegas

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