3 Practical Strategies For Advancing Your Career In AI🪜
Hello,
This newsletter will take you about 4 minutes to read.
I. Spotlight: 3 Practical Strategies For Advancing Your Career In AI🪜
Artificial Intelligence (AI) is disrupting businesses and job roles in every industry, causing concerns about long-term job security for low-skill manual jobs and management roles alike.
To prepare for this AI-driven economy, many experienced managers and seasoned executives are turning to MOOCs (Massive Open Online Courses) to upskill in foundational data analytics and AI. This trend is unlikely to slow down anytime soon: The global MOOC market is expected to grow from $3.9 billion in 2018 to $20.8 billion by 2023, a CAGR of 40.1 percent.
Business and technology-related courses make up 40 percent of these online courses. Many universities have also joined the drive to fill the AI leadership gap by offering high-touch executive education programs.
While upskilling programs are easily accessible, many executives are unsure how to leverage their newfound skills to advance their careers. Becoming an AI “practitioner” may not be the right option for some given the high technical bar for these roles. Others may rule out “juniorizing,” which could take them a few steps back in their career.
3 ways to advance your career in AI
Organizational leaders who complete such programs commonly have three questions:
Can I transition into a technology leadership role spearheading organizational initiatives in AI?
How do I combine my functional leadership experience with my newly acquired AI skills?
What new roles are being created in today’s AI economy that I can pivot into mid-career?
These aren’t simple questions to answer, and mid-career transformations are never easy.
Based on my experience mentoring individuals and helping companies embrace AI-related technologies, I share three strategies leaders can adopt to reshape their careers.
II. Industry Roundup:
1. Article: 41 Big Ideas that will change our world in 2023
51 minutes | LinkedIn News | Scott Olster
What Big Ideas will emerge in 2023? Every December, LinkedIn editors ask the LinkedIn community of Top Voices and creators to share the Big Ideas they believe will define the year ahead. This article is a selection of thoughts on where things go from here — at work, at home, and everywhere in between. Here are 3 that stood out to me - multimodal AI, tech addressing healthcare worker shortage, and how all of us might start extracting carbon dioxide from the air.
2. Article: Training Up the Organization Chart Is Job One
05 minutes | CDO Magazine | Thomas C. Redman
Tom Redman says that “training up the organization chart” is the most important job of whoever holds the Top Data Job. Data programs need leaders to help connect data and business priorities, provide political cover, and drive change. He believes senior data professionals must devote considerable effort to training more senior leaders.
3. Article: ChatGPT owner OpenAI projects $1 billion in revenue by 2024
05 minutes | Reuters | Jeffrey Dastin, Krystal Hu, and Paresh Dave
This article delves into how OpenAI makes money today. Commercialization of AI-based products is difficult until other companies start building products atop one’s own. Many startups and large corporations have found business applications using OpenAI’s technology, thanks to the huge attention ChatGPT has received. Microsoft recently announced a new, multi-billion dollar investment in OpenAI.
III. From my Desk:
1. Article: Meet Your Digital Twin: The Coming Revolution In Drug Development
9 min | Forbes
A Digital twin is a virtual replica of a real-world object, process, or person. It helps monitor and predict performance, and plan preventive treatments. In healthcare, digital twins can be used to test new drugs and improve clinical trials' accuracy, speed, and safety. It has the potential to transform drug development and patient care.
2. Video: What's a simple definition of innovation?
3 min | LinkedIn
"What's a simple definition of innovation?" I was recently asked in this video interview with X4 Technology. In this video, I break business innovation into 4 types and explain it with practical examples from data and AI. Let me know which of these innovations excite you the most.
3. Talk: Data Storytelling - The Secret to Delivering Business Impact
Most data science projects fail at the last mile - in translating analytical insights into actionable decisions. How can data storytelling help? I ran a guest lecture yesterday on this theme at Ramapo College of New Jersey. While the talk doesn’t have a public video, here’s a related whitepaper I wrote on data storytelling for enterprises.
The FIFA app used augmented reality to enhance visual experience of fans in the recent World Cup!
Thank you for subscribing and reading the newsletter. I appreciate your attention,
Ganes.
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I’m Ganes Kesari. I publish ‘Data-Driven Future’ to help understand how data shapes our world, explore key trends, and explain what they mean for you today. I speak and write to demystify data science for decision-makers and organizations.
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