Ai4 2024
August 12-14 | MGM Grand, Las Vegas
Except for those listed under the “technical tracks” header, all tracks are approachable for business executives with non-technical backgrounds.
Expect focused 20-minute solo sessions mixed with 40-minute panel discussions.
INNOVATION STAGE
This track was designed to showcase the industry’s leading AI startups and also provide a VC perspective on industry trends. All companies showcased in this track are handpicked by the Ai4 team as the up-and-comers to be on the lookout for. Most of these sessions will be conducted in a shorter 10-minute pitch-style format.
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. Topics include…
- Cutting Edge AI Products
- The AI Industry Outlook
- Investing In AI Companies
- Startups
- VCs
CROSS-INDUSTRY TRACKS
Talks within these tracks are suggested for everyone & require no technical expertise. The focus here is broader in scope and with conversations relevant to every industry.
AI Ethics & Alignment
AI Ethics thought leaders explore one of the most important conversations for society today. Themes span AI alignment, what ethical AI really means, as well as the processes, tools and strategies that will lead organizations and society down the right path. Specific topics include…
- What is AI Ethics?
- What is the nature of ethical AI for businesses?
- AI Alignment
- Strategies for Ethical AI
AI Governance, Regulation, & Compliance
Responsible AI is critical, yet poorly understood and difficult to carry out. Executives face great pressure to bring about substantial ROI from investments into AI while also doing so “responsibly”, yet there is often little consensus on what constitutes responsible AI use, and less still on how to operationalize responsible AI. To complicate matters more, the regulatory landscape for AI is evolving quickly, causing great uncertainty. Join this track to take a deep dive into AI governance, regulation, and compliance. Topics include…
- Defining the Responsible use of AI for Businesses
- Worldwide Regulation around Data
- Worldwide Regulation around AI
- Compliance
- Effective AI Risk Management
- Pillars of an AI Governance Strategy
- Responsible use of Data
- Data Governance
- Developing Your AI Governance Framework and Strategy
- Collaborating and Communicating with Key Stakeholders around AI Governance
- Tools and Strategies for Responsible use of AI
- Stakeholders for responsible AI / Successful AI Governance
AI Transformation
In this cross industry track, discover how executives at top organizations think about building and scaling AI across their organizations for business success. Topics include…
- Taking the First Step with AI
- Deriving ROI from AI
- AI Operations
- Proof of Concept to Effective Scaling
- Data Science Leadership
- Key Tools, Platforms, Technologies
- Key Strategies
- Organizational Structures and Process
- Build vs Buy
- Data Needs
- Hardware Needs
- Talent Needs & Hiring
Data Strategy
Data is the new oil – or so you’ve heard. This track will take a deep dive in how organizations can understand and make use of their data to take advantage of this often overlooked resource.
- Identifying What Data You Already Collect
- Strategies to Discover and Communicate the Value of Your Data
- Tools, Platforms, and Processes for Making Use of Your Data
- Collecting, Structuring and Understanding Your Data
- Use Cases – Simple and Complex – For Your Data
Generative AI
Generative AI has catapulted AI into the limelight, capturing the attention of individuals and institutions worldwide. Consumers and businesses, equipped with the newfound powers of creating all types of media in seconds and using LLMs for an ever growing list of tasks, understandably are both curious and apprehensive about this paradigm shift. Join these sessions to do a deep dive into generative AI….
- What is Generative AI?
- LLMs
- Image and Video Generation
- Audio Generation
- Leveraging Generative AI for ROI
- Selecting Foundational Models
- Training Generative Models on Proprietary Datasets
- Building Generative AI Models
- Foundational Models
- Integrating Generative AI Workflows Into Operations
- Compliance and Risk for Generative AI
Productivity Tools
We are moving towards a world in which knowledge workers each have an AI powered assistant for everything, gathering information, coding, crunching numbers, and doing anything else needed, freeing up humans for strategic thinking, decision making, and human interaction. This track will explore Ai powered tools and their impact on knowledge worker productivity. Topics include….
- Coding Assistants
- LLMs
- Copywriting
- Research and Information Retrieval
- Intelligent Analytics Tools
Social Impact of AI
Despite AI being around since the 60s, society is only now beginning to understand its impact. This transformative technology’s effect will be multidimensional and far reaching. Join this track to hear from experts on how AI will impact society at large, including areas like the economy, geopolitics, philanthropy, human wellbeing, and more. Topics include…
- AI for Good
- The Future of Humankind and Machines
- Existential AI Risk
- Distribution of Work
- AI Alignment
- AI & Geopolitics,
- The Economy & AI
- Deepfakes
- Societal Harm from AI
- Poverty & AI
- Climate Change & AI
- Human Well-Being & AI
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
AI unlocks new possibilities in education. Large language models, personalization, and analytics have the potential to transform the learning experience for students. Additionally, universities stand to become more efficient and more financially healthy with AI. Topics include…
- Universities and AI
- Online Education and AI
- LLMs
- AI Enhanced Learning Experiences
- AI Automation and Enhanced Business Practices
- Personalized Learning
Financial Services
The Financial Services is full of exciting use cases for AI. In this track, enjoy talks from Banks, Insurers, Investors, Lenders and Credit Card Companies, Fintechs and more. Topics include..
- Insurance
- AI in Banking
- Credit Cards and AI
- Generating Alpha with AI
- Algorithmic Trading
- Alternative Data
- Credit Cards and AI
- Credit Scoring
- AI Risk
- Risk Management and AI
- AI and Fraud
- Compliance
- Solving problems with AI in Banking
- Network Anomaly Detection
- Underwriting
- Generative AI for Finance
Government
From warfare to government operations, the public sector has much to gain from AI. Explore this track to discover how governments collect foreign intelligence, defend their borders, keep citizens safe, and provide products and services with AI. Topics will cover…
- U.S. DoD and AI
- CIA and AI
- Foreign Service / State Dept and AI
- Law Enforcement and AI
- Facial Recognition
- Government Transformation around AI Infrastructure Modernization for AI
- Healthcare Programs and AI
- Intelligent Automation with AI
- Local, State, Federal
- Public Policy and AI
Healthcare
Healthcare is full of exciting use cases for AI. In this track, enjoy talks from top providers, payers, pharmaceutical companies, medical device companies, health tech startups, and more. Topics include..
- AI Enhanced Patient Experience
- Fraud Waste & Abuse
- Developing Drugs with AI
- AI and Clinical Trials
- AI Driven R&D
- Diagnostics
- Radiology
- Patient Management
- Provider Automation
- Medical Devices
- Wearable Devices
- AI driven Surgery
- Mental Health and AI
- Personalized Medicine
- Electronic Health Records
- Clinical Decision Support
- Pricing & Risk
- Population Health
- Generative AI
Manufacturing
If you’ve ever walked into a modern day manufacturing facility or even watched a video online, it’s easy to imagine the possibilities for AI to take over the entire process. Manufacturing use cases for AI are growing rapidly as companies seek to increase efficiencies and prioritize worker safety. Join this track to dive into AI for manufacturing. Topics will include…
- Predictive Maintenance
- Robotics
- Safety
- Intelligence Automation
- Plant Operations
- Assembly Operations
- Improving Throughput
- Reducing Machine Downtime
- Reducing Defects and Cost
Retail, CPG, & eCommerce
AI is transforming Retail, Consumer Packaged Goods, and eCommerce.
This track will dive into how organizations can leverage AI for supply chains, product manufacturing, pricing, recommender systems and more. Topics include…
- CPG
- eCommerce
- Shopping Experience and AI
- Retail
- Inventory Management
- Supply Chains
- AI driven pricing
- Checkoutless Technology
- Conversational AI
- Demand Forecasting
- Pricing
- Discovery
- Product Comparison
- Manufacturing
JOB FUNCTION
Job function tracks focus on how AI relates to certain roles in enterprise settings. The focus of these tracks are cross industry.
CIO & IT Leaders
The birth of the internet brought about the need to collect, store, and safeguard data as well as maintain cutting edge computing systems for business related needs. The IT leader was born! Now, AI has represented another massive shift, with more information being collected, an even greater need for cutting edge technology that works, and business leaders placing ever greater demands on information technology groups to “make the magic happen” with AI! This track will explore the role of IT leaders in the age of AI and their unique perspective, strategies, and needs. Topics include…
- IT Leadership and AI
- IT systems in the age of AI
- Cutting edge AI tools and platforms
- Scaling AI infrastructure across organizations
- Collaboration with relevant stakeholders for successful AI
- Pitfalls and challenges for AI adoption
Cybersecurity
The future of defense is AI-powered. Don’t miss presentations from the world’s leading private sector companies, government institutions, cybersecurity providers and startups. Topics include…
- Threat Detection and Response
- SOC Automation
- Identity and Access Management
- Insider Threats
- Data Privacy
- Generative AI
Data Analytics & BI
Effective Machine Learning and Analytics can be extremely helpful for those looking to gain insights into their enterprise. Areas such as Business Intelligence, Corporate Finance, Accounting, and Risk Management can be greatly enhanced with the proper tools, platforms, and strategies. Join this track to take a look at how AI can impact business intelligence and other key functions across every sector. Topics include..
- Business Intelligence and AI
- Analytics and AI
- Cross Industry Risk Management and AI
- Corporate Finance and AI
- Accounting and AI
Design: Image & Video Generation
Generative AI has unlocked an entirely new world for designers across every industry. Whether you design new fashion, commercial and residential buildings, the user experience for software, or new consumer products, AI means you can experiment, iterate, and finalize at lightspeed to realize your creative vision. Topics include…
- AI Enhanced Patient Experience
- Fraud Waste & Abuse
- Developing Drugs with AI
- AI and Clinical Trials
- AI Driven R&D
- Diagnostics
- Radiology
- Patient Management
- Provider Automation
- Medical Devices
- Wearable Devices
- AI driven Surgery
- Mental Health and AI
- Personalized Medicine
- Electronic Health Records
- Clinical Decision Support
- Pricing & Risk
- Population Health
- Generative AI
Marketing, CX, & Advertising
By 2030, almost every customer interaction will be driven by AI, a critical tool for those aiming to win new customers and retain pre-existing customers. Topics include…
- Customer Experience and AI
- Generative AI
- Understanding your customers with AI
- Call Center Automation
- Conversational AI
- Chatbots
- Customer Acquisition and Retention
- Personalization
- AI driven pricing
- Targeted Marketing
- Advertisements
- Market Research and Product Development
- Call centers
Product Managers
The explosion of AI powered software means that your tried and true product manager will likely end up managing a product that includes AI at some point. AI products have their own unique characteristics and challenges. Join this track for a look at how the role of Product Manager changes in the age of AI. Topics include…
- Product Managers and AI
- What it takes to Build AI Products
- Challenges for PMs working on AI Products
Sales
Sales can be greatly enhanced with AI, and in such a high stakes function every additional deal and incremental efficiency matters. AI can be leveraged to identify likely prospects, make forecasts, gather information, and more. Topics include…
- Recommendation Engines
- Generative AI
- Analytics
- Lead Scoring
- Customer Segmentation
- Personalization
- Forecasting
PROJECT TYPE
These tracks are designed for a more technical audience. Project type tracks refer to specific areas of work or use cases for AI. These tracks are cross industry.
AI Research
The bleeding edge of AI that hasn’t made it into production. While our other tracks focus on productionized models, these sessions will pique your curiosity and give you a glimpse of what’s at the edge of AI/ML. Topics include…
- Machine reasoning
- Causal AI
- Capsule Networks
- Reinforcement Learning
- Small Data
- Federated Learning
- Evolutionary Algorithms
- Adversarial Learning
- Causal Inference
- Multimodal modeling
- Ensemble models
- Neural Networks
Blockchain
The combination of blockchain and AI technologies promises trustless execution with machine intelligence. This dynamic represents the cutting edge of today’s technology developments. Topics in this track will cover…
- Introduction to Blockchain Theory and Use Cases
- Blockchain and AI – How Do They Interact?
- Future Innovation with Blockchain and AI
- AI on the Blockchain
- Distributed Ledger Technology for Secure & Effective AI
Computer Vision
Vision models can now interpret car traffic, detailed medical images, and human faces. In this technical track, CV leaders will explore the latest techniques for applying computer vision to help push your projects forward. Join us for technical deep dives into the latest computer vision models. Topics include…
- Facial Recognition
- Visual Search
- Deepfakes
- Image Classification
- Object Detection
- Video
- GANs
- CNNs
- Transformers
- Action Recognition
Cutting Edge Model Architecture
Data scientists are tasked with coming up with clever ways to use analytics and machine learning to solve problems. Sometimes solving the problem involves the latest and greatest model architecture – and sometimes it may not be necessary for business objectives. This track will address the most powerful model architectures that organizations leverage, and dive into what sorts of problems require which cutting edge architecture. Topics will span..
- Transformers
- CNNs
- Neural Networks and Deep Learning
- Model Architecture Selection
- Training & Production
Data Prep for Modeling
Data is the fuel for all machine learning applications. “Garbage in, garbage out”, as they say! This technical track will cover all topics related to making machine learning work better by enhancing your data operations. Come to dive into ETL, data sourcing, cleaning, structuring, feature engineering, and database management. Additionally, we will address figuring out how to make use of your data. Topics will span..
- Understanding and making use of your data
- ETL
- Data sourcing
- Cleaning
- Structuring
- Feature engineering
- Database management
- Platforms and Tools
- Synthetic Data
- Data Labeling
- Data Visualization
- Data Pipelines
- Unstructured data
Generative Models: LLMs to GANs
Generative AI is largely responsible for society’s fascination with AI, and more use cases will continue to emerge. In this track, take a deeper dive into the models and strategies that enable generative AI, such as transformer models and reinforcement learning with humans in the loop. Topics will span..
- Generative AI
- LLMs
- Images and Video Generation
- Transformer Models
- GANs
- Reinforcement Learning
- Cutting Edge Generative AI Techniques
Hardware: Chips, GPUs, & Beyond
Hardware is a critical component of successfully using AI. Training AI requires significant computing resources, and organizations must develop a strategy for buying or renting GPUs. This track will dive into hardware needs. Topics include…
- Hardware infrastructure
- Low latency and high utilization
- Hardware optimization
- GPUs
- Embedded hardware
- Bandwidth of data sets
- Supercomputers
- Model architectures and hardware
ML Ops & Platforms
Learn how the best technical leaders deploy and maintain machine learning models in production reliably and efficiently. Data science and ML ops leaders will look at the end to end process of applying machine learning in an enterprise setting, considering all operations and platforms / tools along the way. Topics include…
- Getting Models into Production Successfully
- Data management, Flow, and Pipelines
- Scaling Machine Learning Across the Enterprise
- Model Architecture Selection
- Training
- Enabling Application Developers to Work with Models
- Post-Production Concerns: Maintenance, Metrics, Monitoring
- Teams and Collaboration Best Practices
- Machine Learning Platforms & Tools
- End to End ML Processes
Natural Language Processing
Recent events have demonstrated the power of large language models, putting NLP front and center. This technical track will explore how industry practitioners are building natural language processing models to power their internal and consumer-facing applications. Topics will include…
- Text to Speech
- Speech to Text
- Chat + Voice Agents
- Open-Ended Question Answering
- Document Processing + OCR
- Natural Language Generation
- LLMs
- Sentiment Analysis
- Search
- Tools, Platforms, Strategies for NLP
- NLP Models
- NLP Operations
Recommender Systems
From listening to music to streaming TV, we touch rec systems every day. Personalized recommendations have found myriad uses within industry: e-commerce, media, education, social networking, and beyond. Topics in this technical track will span…
- Bias & Ethics of Recommender Systems
- User Modeling
- Context-Aware Recommender Systems
- Conversational Recommender Systems
- Content Recommender Systems
- Product Recommender Systems
- Model Architectures for Recommender Systems
Reinforcement Learning
Of the approaches to training AI models, reinforcement learning is often the most misunderstood and enigmatic when compared to supervised and unsupervised learning. And yet, it provides incredible value when executed properly. This track will dive into reinforcement learning strategies and use cases. Topics include…
- Reinforcement Learning
- Reinforcement Learning with Human in the Loop
- Intro to Reinforcement Learning
