The AI landscape has shifted in a rapid fashion. We are now in an age where we have moved from information to action. Picture a world where your co-workers are now virtual, and have an uncanny ability to learn at warp speed and complete uber complex tasks fast. These "virtual" co-workers are really AI agents and have become necessary in a world where productivity and innovation efficiencies reign supreme.
In this conversation, Tia White will explain what AI agents are, how to build and deploy them. She will dive deep into the aspects of technology and business processes that must be true to succeed. Tia will close with the necessary aspects of privacy and change management to safely create the next best co-worker that the world needs but wasn't expecting.
In the last 3 years, the amount of data we have readily accessible has grown over 1600x. To that end, we are unleashing the power of generative AI and large language models (LLMs), allowing companies to quickly deliver solutions such as text or image creation with very minimal data required.
In this conversation, Tia White will explain GenAI in very simple terms, how to identify appropriate use cases for GenAI and when traditional ML may be more appropriate. Based on her expertise as a current AI executive, Tia leaves audiences with real-time insights into the rapidly evolving world of artificial intelligence.
In today's digital world, data is the cornerstone that companies must embrace to accelerate innovation. Innovation is essential in today's economy to maintain a competitive advantage.
In this conversation, Tia White will share how to unleash the power of data to deliver rapidly with machine learning and artificial intelligence. From leveraging data to make timely (even real-time) decisions to utilizing a machine for use cases such as personalization, forecasting, etc., Tia shows the audience how to make massive improvements without much human intervention. She will also discuss how to bring the organization along the journey - people, processes and tools.
As AI becomes increasingly central to business strategy, industries like healthcare, financial services, and government face a unique dilemma around how to innovate with machine learning without compromising data privacy, regulatory compliance, or intellectual property. In this dynamic keynote, AI and ML leader Tia White introduces federated learning: a groundbreaking advancement that allows organizations to train shared machine learning models without ever exposing sensitive data.
With deep experience leading cloud migrations, enterprise AI transformations, and multimillion-dollar service portfolios at Fortune 100 companies, Tia shares how federated learning allows multiple organizations to collaborate on training powerful AI models whether matching patients to clinical trials or improving fraud detection across banks.
Drawing from real-world examples and her work across the technology and banking sectors, Tia demystifies the technology, its implications, and why regulated industries must act now to stay competitive in the age of AI.
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