As someone deeply involved in the world of data science and artificial intelligence, I've seen firsthand how AI and machine learning have rapidly evolved from abstract concepts into indispensable tools shaping our everyday lives and industries.
Across health care, finance, marketing and cybersecurity, these technologies are not merely enhancing operations they are fundamentally reshaping how organizations innovate, compete and succeed.
AI’s unstoppable rise: Transforming industries and careers
Consider this compelling statistic from the World Economic Forum: by the end of 2025, AI and automation are expected to displace approximately 85 million jobs globally, but at the same time, they'll create around 97 million new roles. This dual impact vividly illustrates the transformation underway and emphasizes the urgency of preparing the workforce for these significant shifts through focused AI literacy initiatives.
Over half a million job postings listed AI and machine learning skills last year alone, reflecting a dramatic surge in demand.
Industry transformation through AI
AI is reshaping industries in extraordinary ways, and I’ve witnessed its impact up close:
- In health care, AI is revolutionizing diagnostics and patient care, enabling early disease detection and personalized treatments.
- In finance, machine learning models significantly enhance fraud detection, risk management, and customer experiences, delivering tangible improvements in security and profitability.
- Marketing teams, a field close to my professional heart, increasingly rely on AI to deliver deeply personalized customer experiences and, more precisely, targeted campaigns, maximizing ROI.
- Meanwhile, cybersecurity has become increasingly dependent on AI-powered systems capable of proactively identifying and neutralizing sophisticated threats in real-time.
These examples underscore the vital role of developing AI literacy across job functions—from technologists and analysts to marketers and executives.
Addressing the critical skills gap
Despite AI’s benefits, a significant skills gap persists. According to Coleman Parkes Research, an alarming 63% of organizations report they don't have enough employees proficient in AI and machine learning. This not only hampers innovation and competitiveness but also raises concerns about AI ethics, operational efficiency and decision-making.
To use AI systems responsibly and to their full potential, organizations must invest in targeted training that helps employees gain both the technical knowledge and the ethical framework that includes understanding AI’s capabilities, risks and implications.
Why AI and machine learning training is career-essential
From my perspective as both a data science leader and educator, investing in AI and machine learning training is essential.
Individuals who acquire these skills enjoy not only increased job stability and higher earning potential but also greater job satisfaction through meaningful, real-world contributions.
Why leaders must embrace AI literacy
Leadership engagement is particularly vital. Managers and executives with a solid grasp of the AI literacy framework can strategically use AI to foster innovation, guide organizations through digital transformation, and maintain a competitive edge.
Leaders don’t need to be AI engineers, but they must understand the realm of computer science that underpins AI systems, as well as the broader implications of generative AI, automation, and ethical decision-making. A commitment to learning in this space sends a strong signal that the organization supports AI adoption responsibly.
Why choose SAS for AI and machine learning training?
I’ve witnessed firsthand how the right training empowers individuals to advance their careers and helps organizations build stronger, data-driven teams. These trainings are tailored to various skill levels and professional roles:
- AI Literacy for Everyone provides introductory training through accessible, concise courses designed for complete beginners, available for free.
- AI for Leaders equips managers and executives with the strategic understanding needed to responsibly innovate and leverage AI within their organizations.
- AI for Machine Learning Engineers offers practical training in key areas such as model development, model deployment, automation, and operations (ModelOps).
- AI and Machine Learning for Professionals deliver advanced, expert-led masterclasses focusing on sophisticated techniques like deep learning, natural language processing, and computer vision.
Each SAS training track integrates hands-on projects using real-world data, guided by SAS subject matter experts and provides pathways to earn industry-recognized certifications. These courses are designed to be flexible, with self-paced modules that accommodate busy professional schedules.
Having closely worked with many industry leaders, I firmly believe that SAS’ approach uniquely positions professionals and organizations for sustained success in the AI-driven era. By mastering these vital skills, you'll gain immediate, practical insights and make tangible impacts within your organization.
Join me in building an AI-ready future
The strategic importance of AI and machine learning training cannot be overstated. As industries continue to evolve rapidly, professionals and organizations must prioritize developing robust AI capabilities. At SAS, we remain deeply committed to guiding you through this journey, offering the comprehensive training and expertise necessary to thrive in an increasingly AI-powered world.
Together, let's bridge the skills gap and unlock the full transformative potential of AI.
6 Comments
Great to get your perspective. AI and machine learning are certainly changing the game across so many industries. It’s interesting to see how fast they’ve gone from buzzwords to must-haves.
Totally agree, building that AI/ML skillset is quickly becoming essential, not just to stay current, but to truly understand how to apply these technologies in meaningful, impactful ways.
Thanks for the kind words. You’ve hit the nail on the head, technical skills are only half the battle; knowing how to apply AI responsibly and strategically is what will set professionals and organisations apart.
Well-written summary of what we experience in our daily work: Lack of AI knowledge everywhere. "the urgency of preparing the workforce for these significant shifts through focused AI literacy initiatives." is now more important than ever! Thanks for sharing, Iain!
Thank you! It's reassuring (and a bit concerning) to hear that this resonates so widely. Hopefully with continued focus, we can shift from awareness to action and start closing that gap meaningfully.
Thanks for sharing, Iain. The biggest hurdle I see? Not just upskilling individuals, but creating a culture where learning AI feels accessible, relevant, and supported at every level.
Absolutely agree, AI literacy isn't just about training individuals, it’s about building an environment where curiosity, experimentation, and continuous learning are actively encouraged. Culture often sets the pace for adoption.