Hard Truths About Soft Skills: The Real Driver Behind AI Success
Sudarshan Mahabal
Chief Data, Insights & AI Officer | Driving Vision, Architecture & Development of Modern Data, AI, and Cloud Business Solutions | AI-Driven Business Strategy Coach | Professor of Practice (AI) | Author | 2x-MBA 3x-AWS
In today’s increasingly AI-driven world, businesses need more than just tech savvy. Based on my experience of working with many global clients in architecting their AI powered businesses: AI success is born from two intertwined DNAs. On one hand, you’ve got your technical DNA, the backbone of Data, Analytics, and AI (Hard technical skills and infra). On the other hand, there’s your softer DNA: Drive, Nurture, and Accelerate, the soft skills that make or break AI’s potential.
When these two DNAs fuse together, an evolved organization emerges. This one that doesn’t just use AI, but lives it. Let’s explore how businesses can master this fusion, creating an organization where AI becomes a natural part of the company’s genetic code. So, let’s explore together and see how these two strands come together to create a future-ready organization.
1. AI Starts at the Top: Leadership’s Role in Setting the Tone
Look, AI doesn’t magically integrate itself into your business. You need leadership that’s driving the AI train, not just hitching a ride on the tech bandwagon. When the exec team treats AI as the strategic gold mine it is, everything changes. You’ll start hearing phrases like “AI-driven insights” in Monday meetings, right alongside “Is this data coming from the Single-source-of-truth?” debates.
When leaders make AI a priority, it sends a signal that this isn’t just about some new shiny object, it’s a core strategy. It is settling in with the management culture. If the folks at the top aren’t excited about AI, foundationally trained in AI, you might as well be pushing a boulder up a hill.?
2. Building a Strong AI Core: Balancing Tech with Talent
Now, having a few AI experiments scattered around is like mushrooms in a rainforest, it's not doing much for you. AI needs to be at the core of your operations, not just a weekend hobby for your HTML programmers.
This is where your Data, Analytics, and AI DNA comes into play. Think of it like building a strong core at the gym. Without it, you can’t scale those AI muscles properly. And trust me, you want to scale those muscles, because scaling AI means moving beyond small wins and turning them into big, business-wide applications. The goal is to have AI so integrated that it’s handling everything from predicting customer behavior to telling you when it’s time to reorder office snacks. If something can be automated, it better should be automated.
3. The Talent Equation: It’s More About People Than You Think
Here’s a fun fact: even the most advanced AI can’t run a business. Not yet and likely not in the near future? Your people still matter and arguably, they matter more than ever. The companies that nail AI aren’t just the ones with the coolest algorithms. They’re the ones that Nurture their talent, helping everyone from engineers to marketers to executives understand how AI can make them better at their jobs.
Upskilling isn’t a “nice-to-have” anymore, it’s essential. If you don’t give your teams the tools to work with AI, then AI will be like that fancy gadget in your kitchen you never figured out how to use. And let’s be real, nobody needs another bread maker sitting in the corner gathering dust.
4. Responsible AI: It’s Not Just About Algorithms, It’s About Compliance
Now, let’s talk about responsibility. I know, it’s not the most glamorous topic, but it’s arguably the most important. You wouldn’t let just anyone drive your car, right? Well, the same goes for AI. You’ve got to be sure that your AI is designed to be responsible, ethical, and this is key, not a public relations disaster waiting to happen.
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Companies that Drive responsible AI from the get-go build trust, plain and simple. And that trust? It’s your competitive edge. Because while others are scrambling to explain why their algorithm made a questionable decision, you’re out there confidently scaling your AI systems with transparency and accountability.
5. From Quick Wins to Long-Term Impact: The Role of Soft Skills in Scaling AI
Everyone loves a quick win. But if you’re only chasing short-term success with AI, you’re missing the bigger picture. You need to Accelerate those early wins, yes, but also Nurture long-term strategies that push the boundaries of what AI can do for your business.
Think of it like this: a fast AI win is like scoring a date with someone you admire, but investing in long-term AI is like building a healthy, lasting relationship. You need both the spark and the substance to really make it work. The companies that balance quick victories with long-term AI investment? Those are the ones that end up happily ever after (and more profitable, too). Right balance between jugaad quick-wins and well architected solutions is key to the success. More on this delicate balance in a future blog.?
6. Culture as the Catalyst: Creating an Environment Where AI Thrives
Here’s the thing: you can have all the AI in the world, but if your company culture isn’t on board, you’ll end up with a fancy tool nobody knows how to use or worse, nobody cares to use. That’s why Drive, Nurture, and Accelerate is such an important part of your AI DNA.
AI thrives in cultures that reward curiosity, creativity, and a willingness to experiment. You want your team to feel like they can try new things without fear of failure. Because in the world of AI, sometimes the best insights come from the messiest experiments. So, foster that culture, and watch as your AI efforts go from good to groundbreaking. Unless leadership is ready to adopt, actively use these AI tools/platforms, asking your employees is nothing but lip-service.?
7. The New DNA: When Soft Skills Fuel AI’s Real Potential & Hard Skills
When you combine Data, Analytics, and AI with Drive, Nurture, and Accelerate, you’re creating a new organizational DNA. And let’s be clear, it’s the kind of DNA that’s built to evolve, grow, and dominate the future. This new DNA doesn’t just check the AI box, it lives and breathes AI.
This fusion of the technical with the human side isn’t just smart, it’s survival of the fittest in the AI era. Shape up or ship out!
Is AI in Your Organizational DNA?
So, here’s the million-dollar (billion-dollar) question: Is AI truly in your DNA, or are you still treating it like a new shiny object you hope to figure out someday? Dealing with it in silos across functions? Future belongs to companies who get it, those who know that AI isn’t a tool you use, but a core part of who you are.
Business driven Technology Executive | Data and AI | Product Management | Thought Leader | Board Advisor | SAAS | CRM, ERP, SCM | Enterprise Architecture | Automation | Ex-Oracle
1 个月This is a great perspective. Thanks for sharing.
CRO in the Wings | Sales & Global Commercial Operations Executive | Technology Business Builder | GTM Revenue Leader | Customer Success Advocate
1 个月Interesting perspective, thanks for sharing, absolutely makes sense.