Shadi Shahin, Vice President of Product Strategy, SAS
Work like a disrupter. By becoming both analytically and technologically mature.
THREE CLEAR SHIFTS IN THE INDUSTRY
Intelligent data preparation
Eliminates the need to manually tag and label data
Using AI algorithms to recognize patterns in data, you can understand what data belongs together and provide context around data. It uses continuous learning to create reason-based algorithms. It can even teach models to learn from other models, and then to retrain the model itself.
Containers for analytics
Essential for deploying software in cloud environments
IT likes to test and run software in containers because they deploy software faster, manage upgrades simply and make it easy to combine different software packages. For software providers, it’s also easier to build packaged deployments, integrate with other packages and add more automation into a system.
Containers will help to democratize the use of advanced analytics and lower the barrier to entry for trying new software products. Shadi Shahin Vice President of Product Strategy SAS
ModelOps for machine learning
Improves time to deployment, ensures quality
Move models from the lab to validation, testing and production as quickly as possible while ensuring quality results. ModelOps helps you manage and scale models to meet demand and continuously monitor them for data fluctuations, model bias and model degradation.