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What steps are you taking to build a culture of continuous learning and adaptability in response to AI advancements?
What steps are you taking to build a culture of continuous learning and adaptability in response to AI advancements?
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8 answers
Sumitra Biswal
Independent researcher in the intersection of AI and Cybersecurity
40
Answers
India
Updated
Sumitra’s Answer
Hi!
AI is here to stay, not just as a passing trend, but as a driver of opportunities and breakthrough innovations. To build a culture of continuous learning and adaptability, the first step is to focus on the bright side of AI and the benefits it brings as an assistant and enabler.
Just as we learn a new language to connect with people better, we also need to learn the “Language” of AI, its fundamentals, principles, and ethical boundaries. By encouraging ongoing learning, hands-on practice, and open discussions about AI’s role, we help people see AI not as a threat but as a collaborator.
In practice, this also means encouraging curiosity, sharing learnings openly in teams, and creating a safe space where people feel comfortable experimenting with AI tools. When learning is celebrated and mistakes are seen as part of growth, adaptability becomes second nature.
In this way, teams become more confident, adaptable, and ready to grow alongside AI rather than resist it.
Warm regards,
Sumitra
AI is here to stay, not just as a passing trend, but as a driver of opportunities and breakthrough innovations. To build a culture of continuous learning and adaptability, the first step is to focus on the bright side of AI and the benefits it brings as an assistant and enabler.
Just as we learn a new language to connect with people better, we also need to learn the “Language” of AI, its fundamentals, principles, and ethical boundaries. By encouraging ongoing learning, hands-on practice, and open discussions about AI’s role, we help people see AI not as a threat but as a collaborator.
In practice, this also means encouraging curiosity, sharing learnings openly in teams, and creating a safe space where people feel comfortable experimenting with AI tools. When learning is celebrated and mistakes are seen as part of growth, adaptability becomes second nature.
In this way, teams become more confident, adaptable, and ready to grow alongside AI rather than resist it.
Warm regards,
Sumitra
Steve Iatropoulos
IT Consultant
3
Answers
Melbourne, Victoria, Australia
Updated
Steve’s Answer
I listen to podcasts, youtubers and read every day because its changing everyday! But also practice. Use AI in all aspects of your life whether its coding asking for advice - whatever!
Sankarraj Subramani
GenAI Opensource Contributor and GenAI Sr. SDET
13
Answers
Sugar Land, Texas
Updated
Sankarraj’s Answer
In my journey as an AI QA Automation Lead and open-source contributor, I’ve learned that the most important way to thrive in an AI-enabled environment is to embrace continuous learning and adaptability as a mindset, not just a skill. Technology is evolving rapidly, but what helps me and my teams stay ahead is creating a culture where learning is part of everyday work.
Some of the key steps I take include:
Hands-on Experimentation – I actively design and publish open-source AI projects such as AutoTestX, GenQAChat-RAG-AI, AutoBugPredictX, and RAG4HealthQA. These projects are not just technical proofs of concept—they are living labs where I and others can practice new techniques, test tools like LangChain or ChromaDB, and learn from real-world use cases
Knowledge Sharing – I publish articles on Medium and IEEE Collabratec to break down complex AI concepts into clear, actionable insights for the global QA and AI community. By teaching, I reinforce my own learning and help others stay adaptable.
Mentorship & Collaboration – Within client teams at United Airlines, Freddie Mac, and USAA, I’ve mentored engineers on AI testing, prompt engineering, and ethical AI practices. I also volunteer as a career coach at CareerVillage.org, helping students and professionals understand AI’s opportunities and challenges.
Staying Engaged with Communities – I’m an IEEE Senior Member and actively participate in technical working groups, hackathons (like MIT RAISE and Code for Change), and online AI forums. These communities expose me to fresh perspectives and innovations.
Ethical & Responsible AI – Continuous learning isn’t only about tools—it’s also about mindset. I’ve taken specialized courses in AI governance and compliance, and I encourage teams to think about fairness, transparency, and accountability whenever they adopt AI.
By combining technical upskilling, open-source experimentation, mentorship, and ethical awareness, I’ve been able to foster a culture of lifelong learning and adaptability. My guiding belief is simple: AI won’t replace people, but people who learn to adapt and collaborate with AI will have limitless opportunities.
Some of the key steps I take include:
Hands-on Experimentation – I actively design and publish open-source AI projects such as AutoTestX, GenQAChat-RAG-AI, AutoBugPredictX, and RAG4HealthQA. These projects are not just technical proofs of concept—they are living labs where I and others can practice new techniques, test tools like LangChain or ChromaDB, and learn from real-world use cases
Knowledge Sharing – I publish articles on Medium and IEEE Collabratec to break down complex AI concepts into clear, actionable insights for the global QA and AI community. By teaching, I reinforce my own learning and help others stay adaptable.
Mentorship & Collaboration – Within client teams at United Airlines, Freddie Mac, and USAA, I’ve mentored engineers on AI testing, prompt engineering, and ethical AI practices. I also volunteer as a career coach at CareerVillage.org, helping students and professionals understand AI’s opportunities and challenges.
Staying Engaged with Communities – I’m an IEEE Senior Member and actively participate in technical working groups, hackathons (like MIT RAISE and Code for Change), and online AI forums. These communities expose me to fresh perspectives and innovations.
Ethical & Responsible AI – Continuous learning isn’t only about tools—it’s also about mindset. I’ve taken specialized courses in AI governance and compliance, and I encourage teams to think about fairness, transparency, and accountability whenever they adopt AI.
By combining technical upskilling, open-source experimentation, mentorship, and ethical awareness, I’ve been able to foster a culture of lifelong learning and adaptability. My guiding belief is simple: AI won’t replace people, but people who learn to adapt and collaborate with AI will have limitless opportunities.
Ranjana Krishnamoorthy
Technical program Manager
3
Answers
Seattle, Washington
Updated
Ranjana’s Answer
Hi,
Upskilling is always a good idea! When it comes to AI,
1. I would suggest starting with courses that will teach you the basics of AI first, and then dive deeper into specific parts that interest you. There are different types of courses that you can take, different tools you can learn based on your choice of career. For example, if you want to go into Business analytics, or product take deeper courses that will help you follow the AI PM path- like prompt engineering, RAG, AI prototyping, what are AI agents etc.
2. Another way to continuously learn is to gain some practical AI experience by downloading some tools and models and building some small apps, or using AI to help you in your daily life for small tasks!
3. You can also keep up with the latest AI news and releases through tech news magazines like Tech Crunch and Hacker news.
4. Engage in AI communities and follow people who post on LinkedIn who will help you learn more.
Upskilling is always a good idea! When it comes to AI,
1. I would suggest starting with courses that will teach you the basics of AI first, and then dive deeper into specific parts that interest you. There are different types of courses that you can take, different tools you can learn based on your choice of career. For example, if you want to go into Business analytics, or product take deeper courses that will help you follow the AI PM path- like prompt engineering, RAG, AI prototyping, what are AI agents etc.
2. Another way to continuously learn is to gain some practical AI experience by downloading some tools and models and building some small apps, or using AI to help you in your daily life for small tasks!
3. You can also keep up with the latest AI news and releases through tech news magazines like Tech Crunch and Hacker news.
4. Engage in AI communities and follow people who post on LinkedIn who will help you learn more.
Zainab Jamal - PhD MBA MA - Marketing, Data Sc, Economics
Management - AI and Data Science
1
Answer
Saratoga, California
Updated
Zainab’s Answer
Thank you for asking a great question.
The way we have been able to build such a culture is to focus first on the business problem we are trying to solve, who are the end users and what are their pain points. By focusing on building a solution to solve the business problem, it helps to separate the different components of a business solution - people, process, technology and data.
Once you have a viable business solution with existing technology and tools and AI, it becomes easier to continuously improve on that foundation as new technological enhancements come thru and make them part of next iteration and release.
So the culture we emphasize among our team members is problem solving, continuous learning and agile and iterative solution development cycles.
The way we have been able to build such a culture is to focus first on the business problem we are trying to solve, who are the end users and what are their pain points. By focusing on building a solution to solve the business problem, it helps to separate the different components of a business solution - people, process, technology and data.
Once you have a viable business solution with existing technology and tools and AI, it becomes easier to continuously improve on that foundation as new technological enhancements come thru and make them part of next iteration and release.
So the culture we emphasize among our team members is problem solving, continuous learning and agile and iterative solution development cycles.
Cameron Krug, CPA, CISA
Internal Audit Manager
3
Answers
San Marcos, California
Updated
Cameron’s Answer
We aim to make AI a useful tool that boosts our team's performance. Here’s what I've done:
Incorporating AI into everyday work. We use AI to brainstorm audit risks, draft findings, and tidy up meeting notes. This speeds up our reporting and enhances our work right from the start.
Creating helpful tools. I developed an AI tool to automate certain reports, allowing our team to focus on strategic tasks instead of manual writing. We also have an AI "mentor" that offers instant guidance to our junior auditors, helping them learn more quickly.
Making AI a regular part of our process. We’ve integrated these AI tools into our official audit methods, so everyone uses them consistently and gets great results.
Offering training. I provide training on our internal controls and new processes, fostering a shared understanding and promoting a culture of compliance and learning.
My goal is to show the team how these tools make their work easier and help them grow their skills.
Incorporating AI into everyday work. We use AI to brainstorm audit risks, draft findings, and tidy up meeting notes. This speeds up our reporting and enhances our work right from the start.
Creating helpful tools. I developed an AI tool to automate certain reports, allowing our team to focus on strategic tasks instead of manual writing. We also have an AI "mentor" that offers instant guidance to our junior auditors, helping them learn more quickly.
Making AI a regular part of our process. We’ve integrated these AI tools into our official audit methods, so everyone uses them consistently and gets great results.
Offering training. I provide training on our internal controls and new processes, fostering a shared understanding and promoting a culture of compliance and learning.
My goal is to show the team how these tools make their work easier and help them grow their skills.
Goodera Careervillage
63
Answers
Bengaluru, Karnataka, India
Updated
Goodera’s Answer
Always stay curious and eager to learn. Dive deep to understand how AI works and what each function does. Think of it as a way to find the truth. Read the manuals that come with your hardware and software. Make sure you understand why things work the way they do.
Michael Rill
Program Management
5
Answers
Redmond, Washington
Updated
Michael’s Answer
Building a culture of continuous learning in the middle of rapid AI change starts with curiosity. The best way to stay adaptable is to pick a part of the AI space that you’re genuinely interested in, not just what everyone else is talking about. Curiosity makes learning feel less like homework and more like exploration.
Once you’ve found that interest, follow it down a few rabbit holes. Podcasts and YouTube are great starting points, and there are plenty of creators and influencers breaking down complex topics into clear, engaging content. But here’s the key: don’t just binge-watch or listen for entertainment. That’s a lean-back experience, where the information washes over you without sticking.
Instead, turn it into a lean-in experience. Take quick notes on what you hear, write down the “so what” (what this means for you), and list one or two next steps you want to try out or dig into further. Even a small action helps cement the learning, like testing a new tool, rephrasing an idea in your own words, or bringing it up in a team discussion.
Do this consistently, and over time you’ll notice patterns, connect new concepts more easily, and build a habit of staying adaptable. It’s about deliberately turning curiosity into progress, one step at a time.
Once you’ve found that interest, follow it down a few rabbit holes. Podcasts and YouTube are great starting points, and there are plenty of creators and influencers breaking down complex topics into clear, engaging content. But here’s the key: don’t just binge-watch or listen for entertainment. That’s a lean-back experience, where the information washes over you without sticking.
Instead, turn it into a lean-in experience. Take quick notes on what you hear, write down the “so what” (what this means for you), and list one or two next steps you want to try out or dig into further. Even a small action helps cement the learning, like testing a new tool, rephrasing an idea in your own words, or bringing it up in a team discussion.
Do this consistently, and over time you’ll notice patterns, connect new concepts more easily, and build a habit of staying adaptable. It’s about deliberately turning curiosity into progress, one step at a time.
Nailed it!
Mark Alcarez