Session: Prediction is not easy- how do we make it possible? Future with AI
Leverage different data streams and information to analyze the drivers that drive consumer purchase behavior, demand and organization share of market.
Some are direct, but many indirect, how to not lost in Big-Data, and yet build AI models to predict future in real time at 95%+ accuracy for almost all the domains. Sports or CPG clients, Retailers, Telecom giants.
Lets get peek into the future with tech and math!
Bio: Snigdha Gupta
About Snigdha: She is an analytics professional and a predictive analytics expert, with over a decade experience in the retail, CPG, finance, hospitality and telecom sectors. She has extensive customer analytics, marketing analytics and operations experience, using a variety of data science methods (regression modelling, clustering, decision trees, SEM, ML-Genetic & greedy algorithm, Artificial bee colony optimization) and industry standard analytical tools to manipulate and extract insight from big data sets, presenting these
analytical findings to CXO level audiences.