Join us at Open Data Science Conference

June 15th - 2:30 PM BST

Demo talk | Optimizing Your Analytics Life Cycle with Machine Learning and Open Source

To enable data-driven decisions at scale, the Analytics Life Cycle must be highly operational and seamless. By connecting all aspects of the Analytics Life Cycle – DataOps, Artificial Intelligence and ModelOps – SAS helps to turn your critical questions into trusted decisions and gain real value from your investments. In this talk, data scientist Kyriakos Fistos, will take you through every step of the analytics journey throughout the analytics life cycle by showing how to prepare and visualize data, how to develop Machine Learning models, how to integrate Open Source models in your projects, and how to deploy and manage all of your analytical assets.

• Kyriakos Fistos
  Data Scientist, SAS Institute

June 16th - 9:00 AM BST

Technical talk | Interpretability vs Explainability: Unpacking the Role of Human Morality in AI Models
 

AI is here to stay, and whilst organisations scramble to embrace the power that AI brings, the responsibility of adopting a fair and transparent approach is ever present. Modernising processes to adapt to an AI-driven world brings with it the risk of deploying unfair or biased solutions with the potential to negatively impact groups of people or sections of society. In this talk, data scientist Prathiba Krishna will delve into the implications of deploying AI solutions and how to instil conscious considerations for those solutions to be ethical. The speaker will also talk about the importance of interpretability and explainability of models within the Analytics lifecycle and to shed light on the possible actions that organisations may want to consider while implementing AI responsibly. The talk will structure on the benefits and pitfalls within this journey.

• Prathiba Krishna
  Data Scientist, SAS Institute