In the machine learning age, it’s easy to get lost in the excitement. People want to create machine learning models now and execute those models tomorrow. But if you don’t have a strong data foundation for your machine learning, you’ll likely pay for it later. So what can you do to ensure that your data management foundation is strong, while still getting the results you’re seeking with your machine learning? What can you do about managing data properly, given concerns about privacy, fair use, and ethics with data in machine learning?
Join us to learn how effective data management can make it vastly easier to embark on a successful machine learning journey. In this session, you’ll learn about best practices for machine learning and data management. You’ll hear how the UK’s NHS and World Bee Project use machine learning to increase food security and livelihoods through data. And you’ll take away real information you can apply and challenges to avoid, for effective machine learning that takes you far into the future to improve lives, make better decisions, design better programs and deliver more effective services.