Price (from): €14,000
Ganes co-founded Gramener, an award-winning Data science company, where he heads Analytics and Innovation. Ganes has advised hundreds of enterprises like E&Y, Deloitte, Novartis, Dell, GroupM, Nielsen in their analytics journey and has helped several Public sector firms and NGOs such as the World Bank, Bill & Melinda Gates Foundation adopt data science and AI models in their community and conservation efforts. He is passionate about the confluence of machine learning, information design, and business value.
Ganes is a passionate writer, international speaker, and corporate trainer. He strives to simplify data science and help everyone understand its true potential. He conducts data science workshops for leading corporates around the world. He speaks regularly in leading international conferences such as O’Reilly Strata, O’Reilly AI Conf, TEDx, HubSpot Inbound, AnacondaCON, Fifth Elephant.
About the training
#Data Science #An introduction to AI and ML #How to convert insights into engaging visual narratives #How to apply Analytics to an enterprise and succeed #How to build a data culture in an organization and ensure integration of analytics initiatives
Organizations, having set their sight on an ambitious analytics vision and with a secured budget for data science in place, run into numerous problems right from the start. The translation of a conviction in AI to a clear execution plan, with short-term and long-term goals, is a major challenge. There are a number of questions that confound executives, such as: Where should they get started on their journey towards data science? What does it take to craft an analytics roadmap, one that’s right for their business? Should they hire the services of fancy consulting firms to help them define the game plan? Should they onboard pricey data scientists and have them prowl the business units to work their black magic for organizational transformation? Or, should they set up a minimal data science team and just buy the execution capability? Is it necessary that everyone in the company understand analytics?
This workshop will show how leaders in organizations can use data for strategic advantage. It will demonstrate the importance of analytics and help with creation of a robust data science roadmap.
With a ready-to-use framework, managers will have complete control over the execution of analytics projects.
The session will explain why companies face challenges with the adoption of data science initiatives for continued Business ROI, and what can be done to overcome them.
Why Data Science?
How to get started with AI, ML?
A framework to identify the right business use cases
Crafting an Analytics roadmap
Creating Data Science capability – Build or Buy?
Managing a Data Science Initiative successfully
How to ensure adoption of AI and ML?