Hindol Basu

This panel discussion is by Actify Data Labs – A True North Company Key discussion What are some of the areas in which AI and ML are making (or will make) the maximum impact for mid-sized organizations? What are some of the disrupters and how are mid-sized organizations better placed in disrupting their industries? What are the challenges in creating a culture of data driven decision making in mid-sized organizations? How is competition forcing mid-sized organizations to embrace the power of analytics, machine learning and AI? What are some of the challenges that are typical for a mid-sized organization: availability of talent, budget constraints, organization readiness etc.? How are some of the mid-sized organizations better placed to harness newer technologies – faster decision making process, absence of legacy technologies etc.? What are the options for embracing analytics, AI and ML for mid-sized organizations – build, buy, hybrid, etc. What are the key skills that an analyst should bring to the table to succeed in a mid-sized organization? Why is the journey within a mid-sized organization more interesting for both analysts and analytical leaders? Will a giant like Google or Amazon probably offer all standard analytical requirements in its analytics cloud and force all smaller products and services companies out of consideration for mid-sized organizations?