AI for Code with Dr. Ruchir Puri
00:00
00:00
1x
- 0.5
- 1
- 1.25
- 1.5
- 1.75
- 2
This is a podcast episode titled, AI for Code with Dr. Ruchir Puri. The summary for this episode is: <p>Jerry is joined by IBM Fellow, Chief Scientist of IBM Research, and one of the architects behind Watson (of <em>Jeopardy! </em>fame), Dr. Ruchir Puri. They discuss why it's important to "teach machines their own language" and what automating the creation of software and IT processes can mean for an enterprise with millions of lines of code. Ruchir elaborates on the daily benefits this automation has for developers, from code search to code translation to modernizing legacy code. <br/><br/>Art by April Monson. <br/><br/>More on ML for Code: https://ml4code.github.io; more on modernizing legacy code: https://spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/ibm-ai-watson-modernize-legacy-code.</p><p><br/><br/></p>
DESCRIPTION
Jerry is joined by IBM Fellow, Chief Scientist of IBM Research, and one of the architects behind Watson (of Jeopardy! fame), Dr. Ruchir Puri. They discuss why it's important to "teach machines their own language" and what automating the creation of software and IT processes can mean for an enterprise with millions of lines of code. Ruchir elaborates on the daily benefits this automation has for developers, from code search to code translation to modernizing legacy code.
Art by April Monson.
More on ML for Code: https://ml4code.github.io; more on modernizing legacy code: https://spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/ibm-ai-watson-modernize-legacy-code.