What is the definition of Value creation for a business? Data in itself is a liability, and Data Scientists can’t inherently provide value without understanding the problem. Communication between the business owners, stakeholders and data scientists is extremely important to engineer value and come up with effective solutions. Trying to solve a data problem in isolation of the business will never be valuable.

Data is HARD! The field of Data Management requires significant improvement in the quality of Data used and spend less time fine tuning the algorithms. Improving Data and making more it more transparent will result in greater efficiency of AI/ML models. Data Scientists need to approach the problem with a value creation and realisation perspective rather than looking at it from a Data perspective to find the out what Data is truly Gold.