Topics discussed in this episode:
1:23: Making Tech work for businesses with Data & Analytics. Amaresh Tripathi Managing a workforce of 10,000+ data scientists/data engineers. Keeping ‘data science’ real for employees and clients is very important.
06:00: Inculcating business focus is important for technical workforce. (Headliner): 6:50: Making the workforce ‘bilingual’. Communication, bilingual talent, business focus in culture are all important.
8:30: Not just the sophistication of the work but also the outcomes that matter.
10:00 (Headliner): Analytics will be the front-end. (10:30 – Headliner): Student of decision making. How can analytics make decisions faster. How can you making decisions incrementally better using analytics. (13:00) Technology will become invisible.
15:24 (Headliner): Make less about data and less about analytics but more about decisions. Identify decisions that need speed or sophistication and separate them to make an immediate impact.
19:00: AI is for real even though there is a lot of hype around it. There are meaningful projects like predictive maintenance of aircraft for example.
21:00: Most of the decision making in organizations requires augmentative intelligence with human and machine. 3 compete stages: assisted intelligence, augmentative intelligence, and artificial intelligence.It is not completely automated intelligence.
23:00: Passion for teaching led Amaresh to work with UNC Charlotte on Decision making.
Resources mentioned in this episode:
For more details: https://www.genpact.com/digital-transformation/analytics
Podcast website: https://datatransformerspodcast.com
Amaresh LinkedIn:
https://www.linkedin.com/in/atripathy/