Managing artificial intelligence and machine learning projects often comes down to managing the enormous amounts of data and compute required to build functional models. In this track, we'll explore the technologies, processes, and best practices that make managing your AI/ML pipelines easier while improving your team's performance.

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Data is the lifeblood of modern organizations, but wading through that data to find patterns and make it actionable for the business remains a roadblock for many. In this track, we'll explore how AI/ML techniques are transforming data science and discuss the actions, processes, and technologies that can drive organizational insights to inform and inspire corporate growth and innovation.

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Data science enables a company to utilize algorithms and predictive models to draw insights and forecasts from their data. What are the cutting-edge technologies and best practices for implementing data science initiatives in your company, and what types of predictive models prove the most useful?

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Chatbots and natural language processing are rapidly redefining industries such as customer service and support, information search, knowledge management, and fraud detection. Learn how to utilize existing technologies to build your own chatbot or NLP solution.

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This track targets both beginners and professionals looking to utilize open source or commercial machine learning technologies to implement business solutions. We will cover libraries and frameworks, training the AI with data, and analyzing / implementing results.

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For AI professionals and advanced engineers, this track highlights the cutting edge of neural networks, automating human tasks through deep learning, advanced image / voice recognition, and thought leadership on the next phases of AI.

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What are the most common use cases for an enterprise to utilize AI? From ad targeting and customer intelligence to data analytics and security, this track will highlight success stories of using AI in the enterprise.

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The excitement of artificial intelligence and machine learning comes mostly from the opportunities they present for corporate growth and innovation, and we've only scratched the surface. Join us as we explore the landscape of AI/ML technologies and tools and help you navigate the possibilities as you seek the best path forward for implementing these tools in your organization.

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Artificial intelligence and machine learning have already transformed healthcare technology, providing assistance in medical imaging, research, patient care recommendations, and more. In this track, we explore how AI/ML continues to change the industry and map the technologies now coming to the fore to real world use cases throughout healthcare.

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The digitization of the financial industry has opened up tremendous opportunities for industry leaders and their customers. Artificial intelligence and machine learning promise to enhance financial services even more. Join us in this track as we discuss how the future of fintech will be transformed by the continuing improvements in AI/ML.

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The secret to digital retail success is anticipating the needs of your customers as they browse your products. Artificial intelligence and machine learning promises to transform your customer data into actionable insights that drive more purchasing activity and improve customer loyalty. Join us in this track as we explore the cutting edge of AI/ML technology and its impact on the retail industry.

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Recent advancements in artificial intelligence and machine learning promise to completely change how marketing teams operate. From AI-generated content copy and images to identifying customer behaviors, the AI/ML technologies now emerging from researchers will completely transform how you do business in just a few short years. Join us in this track as we connect the dots on these technologies to help you plan your strategy and adjust your marketing tactics to adapt to this new reality.

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The ability for AI models to create new text, images, and similar content from trained data seems almost like magic. As research advances, this creative ability continues to improve, bringing both new opportunities and new concerns as it matures. In this track, we'll explore the realm of generative AI models, discuss their strengths and where improvement is still needed, and explore ways to integrate these models safely and effectively into your organization's products and processes.

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The many opportunities afforded by artificial intelligence and machine learning technology are often tempered by the concerns about how they will affect staff performance and employment. In this track, we explore how AI/ML is changing organizations, its impact on your business and your industry, and how to prepare your team and your company to effectively leverage these exciting new technologies.

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AI models are trained using wide data sets that come from many sources, and the outcomes from that training is changing the very nature of work. Challenges remain not only in ensuring these models are trained with minimal bias and react to inputs humanely, but also in how training data is acquired and how it will impact the day to day activities of the members of your organization. Join us as we explore these topics in ethics and AI safety and uncover processes and best practices to help your team navigate them to everyone's benefit.

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The growing power of AI is impressive, but researchers continue to place strong guardrails around their models to keep them from being used nefariously. In this track, we'll explore the security topics relevant for AI researchers and implementors, surfacing best practices and processes that will keep your data, your users, and your AI models and system safe from bad actors and inadvertent activities.

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