Dear Friends,
Today, I read a post by Nitin Aggarwal, a senior director at
Microsoft who specializes in generative AI. He emphasized that some of the most
successful engineers and project managers he has encountered were not
necessarily the most technically advanced. Instead, they excelled because of
their proactive nature and ability to identify problems and develop effective
solutions quickly.
These individuals understood that merely focusing on
technical details like algorithms, results, and training methods is
insufficient. They realized the importance of asking, "Why is this problem
important to solve?" This crucial question highlights the significance of
understanding the business implications of technology, which, in turn, helps
identify bottlenecks and generate valuable ideas for future innovation.
Aggarwal's anecdote underscores that technology is a tool to enhance business operations,
and its true value lies in solving real problems.
Thank you, Nitin, for bringing out the most critical element
of education. Human Performance vs. AI Performance—The gap is narrowing and
raising eyebrows. It is a big question for educators in this world. How do we
trigger our students? How do we motivate our students to be proactive in
problem identification, coupled with curiosity and critical thinking? Can we
provide a competitive edge? Everybody understands these skills are vital for
short-term success and crucial for long-term growth and innovation.
Many campus interviews still test an individual’s IQ level
and problem-solving abilities. I think this process has to be tweaked a little
bit. We should provide them with broad problem statements and ask them to cull
out opportunities and corresponding ideas. Many hackathons attempt this
approach, but recruitment through hackathon models is less than 5%. Companies
are worried about the genuineness of the solutions developed by hackathon
teams. The other issue is related to the weights of contributions.
Nitin says, “With many resumes now AI-generated and
well-curated, I began exploring candidates who were pushing themselves to learn
about AI and could connect business with technology. I started glancing at
candidates’ LinkedIn posts and comments to understand their thought process and
passion for learning, rather than just relying on their profiles.” Students
should be extra careful about what they write and post on social media. Many
companies filter these posts and use AI to scan and decide on the candidate's
profile.
In my view:
·
3 years of
Instagram posts determine the candidate's personality.
·
3 years of
LinkedIn activity determine the candidate’s professionalism.
·
3 years of blog
writing determine the candidate’s analytical ability.
·
3 years of TikTok
posts determine the candidate’s creativity and linguistic skills.
·
3 years of
Twitter posts determine the candidate’s social inclination.
·
A couple of years ago, Dr. Abhinav Dayal and I developed a
concept called GULid—Global Unique Learner ID, like an Aadhar for education
(any online activity is stored as a learning record in a central server and
adds some score to our overall lifetime learning records). Please go through
the April 2022 blog post: https://lnkd.in/gyb4Tyg4. Unless such tracking happens, it is
not practical to scout the right candidate.
Ravi Saripalle
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