There is a massive amount of data present across industries, and companies often wish to derive actionable insights by leveraging this data. This led to a demand for predictive and descriptive analytics — predictive analytics for an outlook of the potential future and descriptive analytics for a data-driven understanding of the current processes. Effective analyses, either predictive or descriptive, can lead to improved efficiencies across the board for companies. During this inaugural SoothSight, Soothsayer will demonstrate, with the help of case studies, how these AI and data science solutions have helped manufacturing, insurance, utilities, retail and supply chain companies better their existing processes and systems.
Shravan Adapa, Lead Data Scientist, Soothsayer Analytics
Shravan has been building data science solutions for companies across various industries for the past 5 years. Prior to that, he worked as a software engineer and a programmer analyst with multiple companies. At Soothsayer, he works with different companies to understand their existing state-of-the-art systems and processes, helps them identify the areas of improvement, and builds better systems by leveraging the power of AI, machine learning and data science. He has a passion for learning new concepts in the realm of AI and data science and in implementing these solutions for various problem statements across industries.