“We had created two-dimension mapping tables: source, target; so that the people would know, ‘Okay, if this is the source, how the data was coming, this is the target on the other side, and now how this has been converted,’” he says.
Although Escorts Kubota is still early in its AI, ML, and automation journey, Kakkar acknowledges that the human element will play the most crucial role. Because people are often hardwired to the status quo, Kakkar says that any project rightfully involves changing the mindset of the people involved.
“We need to do a little more homework, help them to visualize the technology, and how that can help them. And also how they could improve their business rather than just telling them, ‘This is the technology project they need to adopt,’” Kakkar says.
