- By firstname.lastname@example.org
- December 5, 2019
- No responses
A 3 -day residential workshop for CEO’s, CXO’s & Leadership teams
The Fourth Industrial Revolution heralds a series of social, political, cultural, and economic upheavals that will unfold over the 21st century. Building on the widespread availability of digital technologies that were the result of the Third Industrial, or Digital, Revolution, the Fourth Industrial Revolution will be driven largely by the convergence of digital, biological, and physical innovations.
In many organizations, the first line teams are often charged with trying to make and lead this change. They are usually very capable people who want to move their companies into the next level in data-science revolution. They are certainly able to create action plans, but they don’t have the necessary support and the acceptance from the leadership team to be able to help them to operationalize the data strategy throughout the organization. The business processes and the cultural change required to make this happen are just not there.
Data science, therefore, must start as a top-down initiative. The business leaders and executives responsible for setting strategy, drive the financial & emotional needs thus making cultural transformation happen must understand and support the initiative.
Who should attend ?
The workshop is useful to all current and prospective business leaders, no matter what the size of their businesses may be. It also particularly addresses top-level executives and business leaders because data science and data analysis, machine intelligence are top-down initiatives. Well, you don’t need a thorough education in or a grasp of the technology, but all you need to know is to how to evaluate, think independently, and communicate what’s important. You must be able to translate your top business problems into solvable data and modelling problems so you can set a data strategy and ensure that all the effort you are investing in data science is aligned with your organization’s top business goals.
If you are the CEO, CXO, or other C-level executives who wants to champion the Fourth Industrial Revolution comprising of Data, Technology & its Convergence, look to overcome the cultural problems of turning their companies into data- and model-driven organizations, then this workshop will be of immense value to you and your organization. This workshop will help CEO’s business leaders, and business people in general attain greater data literacy and understand this fast-changing field and its jargon.
“How to thrive in the Fourth Industrial Revolution”
The Workshop flow: –
- Date: – 10th, 11th, & 12th, January, 2020
- Type of Workshop: – Residential
- Timings: – 10th January, Friday, 17:30 hours till 12th January, Sunday, 14:00 hours.
- Location: – The Leela Resorts, Mumbai, India.
Day -1 – 10th January, Friday, 2020 – (Evening)
14:00 hours to 18:00 hours: -Check in & leisure
18:30 hours to 20:00 hours: – Introduction & Workshop Flow & Agenda Setting.
20:00 hours to 22:00 hours: – Networking, Cocktails & Dinner
Day -2 – 11th January, Saturday, 2020 (Full Day)
10:15 hours to 11:45 hours: – Machine Intelligence & Data Science Concepts
11:45 hours to 12:00 hours: -Tea break
12:00 hours to 13:30 hours: – Machine Intelligence & Data Science Concepts
13:30 hours to 14:15 hours: -Lunch
14:15 hours to 15:45 hours: -Change Management
15:45 hours to 16:00 hours: -Tea break
16:00 hours to 17:30 hours: -Change Management & Introduction to the Data Workflow
17:30 hours to 17:45 hours: -Tea break
17:45 hours to 19:15 hours: – Case Studies 1 Banking & Finance, 2 E-commerce and Marketing
19:15 hours to 19:30 hours: – Recap and Q&A
End of Day: 2 – Followed by Dinner
Day -3 12th January, Sunday, 2020 (Morning)
09:00 hours to 11:00 hours: — Building a Data Strategy Framework Sheet -Workshop Exercise
11:00 hours to 11:30 hours: -Tea break & Checkout
11:30 hours to 13:30 hours: – “Developing Critical Thinking about Data & Modelling” (Guest Speaker – Industry)
13:30 – onwards – Lunch & Check out
End of the Workshop