How we can do Data better | Robert Hook - Leap Beyond Analytics
Robert Hook is Managing Partner of Leap Beyond Analytics, and is a software engineer with over 30 years of experience in a broad range of industries, and with a very broad skill set. His passion is creating robust, high-performance software, with a desire to create the right solution first time, every time. He is particularly excited by and interested in the problems involved in extracting knowledge from large volumes of data, and in building complex, high availability, high-performance server-side software. During the podcast episode, we spoke about all things Data, Machine Learning and Artificial Intelligence. As well as the future of the industry, the problems that occur when depending on Machine Learning to make human decisions, and the common misconception with BI and Data Science. Showtimes: 1:00 - A history of Leap Beyond Analytics and Robert's role there. 5:55 - The common misconception with BI and Data Science. 11:50 - The definition of data-centric architecture and development and what that means. 18:20 - The data quality and governance aspect of Machine Learning and Artificial Intelligence. 23:30 - The options available when your data isn't clean and useable. 25:30 - Data is as important as code, treat data as an identifiable asset. 31:00 - The catalyst for the use of Machine Learning and Artificial Intelligence. 37:00 - Problems that occur when depending on ML to make human decisions. 40:45 - Where we can see the future of AI and ML in 5 to 10 years' time. 47:56 - Where Robert finds inspiration to keep on top of the data movements.