The why behind AI training: a live discussion

Today’s Zero-Touch Telecom Live interview with Rakuten Symphony Cloud BU President Partha Seetala was all about the impact of AI on careers.

Partha kicked off the interview putting the reality of an AI-powered economy in focus:

"AI is driving the cost of creation to zero margins. An engineer being productive six hours per day pales in comparison to AI's quantity of work, scope of code generation or ability to identify issues in code.  We are seeing 1,000-2,000x improvements in cost efficiencies. Very rarely can technologies do this."

Naturally, the question many have is: “Will AI replace my job?”

Partha broke down how he believes AI will impact careers and the knowledge required to be successful in a new tech paradigm. The replay is available now below.

This discussion follows our previous three Zero-Touch Telecom newsletter issues focusing on key aspects of the AI web training series Partha kicked off earlier this summer. Those issues covered the data structure and algorithms that power deep learning for neural networks, how to tune these networks for success and ways to optimize hidden layers for the most accurate outputs.

Behind the scenes of AI training

Our interview with Partha took us behind the scenes of his “A Comprehensive and Intuitive Introduction to Deep Learning” (CIDL) training series as he explained why he created the course, why the content is important for anyone whose job will be impacted by AI and how people who take it can implement the knowledge gained in their careers.

His education approach follows two guiding principles:

• Before explaining what a concept does, explain why it’s needed.
• Once you understand the why, how can intuition be built for solving a use case or problem?

Partha’s outlook for people that understand AI is positive:

“It has the power to augment humans to stop doing mechanical things and focus on higher order tasks. That is why it is in everyone’s interest to understand it as effectively as possible. That means not just knowing what to do but why and how. It means establishing a framework and foundation for familiarity with neural networks and tunings while understanding how to apply it to real use cases.”

You can access the first episode of Partha's web training series here.

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