Jess Panni discusses the current and future states of data science in industry.
Jess Panni takes us through using Azure for two real-world machine learning scenarios in his projects for customers.
Jess shares insights learned from machine learning projects and the use of Machine Learning Studio to get actionable insights from the data produced.
Finally, he also ties machine learning iterations to agile software development and proposes that data science and agile teams can indeed co-exist.
Topics covered include the following.
Jess has over 20 years’ experience helping companies succeed through the smart use of technology.
He has spent most of his career working for leading Microsoft partners across the UK and Australia and is now Principal at endjin,
At endjin, he works with clients to help them transform into modern, data-driven, cloud-first organizations.