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We’ve all seen the headlines: AI is now the world’s strongest enterprise software. However what would you do if it begins making issues up and also you don’t even discover?
That’s precisely what’s occurring proper now inside boardrooms, workflows, and enterprise techniques. AI is rewriting job descriptions, altering how we make selections, and turning into the brand new engine of enterprise productiveness. Behind the hype lies a extra sophisticated fact: the identical techniques driving productiveness beneficial properties also can hallucinate information, fabricate quotes, and break in methods we don’t totally perceive.
That contradiction, AI’s immense potential versus its unpredictable habits, is precisely what Babak Hodjat, CTO of AI at Cognizant, tackles in our newest episode of Future Prepared Management. As one of many early minds behind Siri and a pioneer in multi-agent techniques, Babak breaks down how he builds AI, leads groups that deploy it, and helps Cognizant scale it throughout 330,000+ staff.
On this episode, Babak pulls again the curtain on the promise and paradox of AI within the enterprise, and why Cognizant is betting on agentic AI, techniques that don’t simply reply questions however take actions on behalf of people.
Take heed to the episode right here on Apple Podcast & depart a evaluate!
What AI Is Actually Doing in Your Enterprise (and Why That Issues)
State the apparent, AI is sort of a smarter model of a search engine. We see it as a digital mind, an entity that reads, understands, and responds like a hyper-intelligent assistant. However Babak makes it clear, that’s not what’s occurring beneath the hood.
The massive language fashions (LLMs) behind instruments like ChatGPT and Claude don’t “know” something within the human sense. In the present day’s strongest techniques are constructed on a deceptively easy precept: predict the subsequent phrase in a sequence. They’re not reasoning or studying. That course of, powered by deep studying and neural networks, creates outputs that look clever. Typically they’re. Different instances, they’re whole fabrications.
That is what’s generally known as AI hallucination, a characteristic, not a bug, of generative AI techniques. These fashions are glorious at producing high-probability textual content, however they’re not fact-checking and even “pondering” within the human sense. As Babak explains, it’s extra correct to view AI as a mathematical transformation, not an algorithm within the conventional sense. It doesn’t comply with guidelines, it maps enter to output utilizing a sea of chances.
And this brings us to the issue of belief.
If an AI agent can generate one thing believable that isn’t actual resembling a faux quote, a nonexistent e book, or a fabricated statistic, how do you construct important enterprise techniques on prime of it? For Cognizant, the reply is to not shut the door on AI, however to reframe the way it’s used and tightly management the place it takes motion.
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Contained in the Rise of Agentic AI at Cognizant
Slightly than counting on AI for solutions alone, Cognizant is embracing what Babak calls agentic AI — techniques that mix highly effective LLMs with actionable code to get issues accomplished. These are usually not simply assistants. They’re digital coworkers, outfitted to work together with techniques, carry out duties, and collaborate with different brokers in what Babak calls a multi-agentic platform.
Already, Cognizant is utilizing these AI brokers to:
- Handle RFP workflows — deciding whether or not to reply, surfacing previous proposals, and drafting responses
- Help intranet techniques for over 300,000 staff — surfacing solutions throughout apps and instruments with out requiring customers to know which system to ask
- Energy inter-agent communication — letting completely different AI brokers coordinate throughout departments like gross sales, authorized, HR, and IT
However the true innovation isn’t simply within the tech. It’s within the design philosophy. These brokers don’t run wild. Cognizant is just not doing it blindly. They’re rigorously designing for management and resilience. These brokers function inside very clear parameters, are monitored by people, and have fallback techniques in place if one thing doesn’t go as deliberate.
That’s the place the concept of human-in-the-loop turns into important, not only for ethics, as a result of whereas these techniques are highly effective, they’re not infallible. Babak’s crew has even open-sourced their multi-agentic platform, inviting builders to construct and run their very own AI techniques that mirror how people work collectively in groups. Brokers coordinating with different brokers to get work accomplished. It’s not nearly changing people; it’s about extending how we function.
Take heed to the episode right here on Apple Podcast & depart a evaluate!
Methods to Assume About AI in Your Group
Constructing an AI-first group isn’t nearly automation or scaling productiveness. It’s about rethinking workflows from the bottom up: asking the place an AI agent can take over, the place a human continues to be important, and the way these interactions needs to be structured.
AI is already reshaping Cognizant’s inner construction. With over 330,000 staff, they’ve embedded AI brokers into every thing from HR to intranet navigation to authorized workflows. And as Babak factors out, we’re headed towards a world the place leaders might handle 5 direct experiences…and fifty brokers.
When you’re interested by integrating AI into your enterprise, contemplate this:
- Don’t consider AI as a magic mind. Perceive it’s a chance machine, not a fact engine.
- Give attention to structured use instances. RFP workflows, inner information search, and course of automation are all nice beginning factors.
- Design with failure in thoughts. Assume the system will hallucinate or get issues flawed, and construct safeguards like human evaluate or managed autonomy.
- Agentify with intention. It’s tempting to dump duties to AI, however the accountability and legal responsibility nonetheless rests with folks.
- Construct for resilience, not perfection. That features having backups, oversight, and clear triggers for when a human steps in.
Why the Future Will Be Constructed by People and Brokers — Collectively
We’ve reached the purpose the place AI is turning into one thing we work alongside, not simply one thing we work together with. And that adjustments every thing. As Babak factors out, AI received’t change people. Nevertheless it will reshape how we work. The organizations that win received’t be those who blindly belief AI, or who worry it solely, however the ones that learn to collaborate with it.
Agentic AI will be the future, however it’s nonetheless solely nearly as good because the individuals who design, handle, and information it.
To listen to the total dialog with Babak Hodjat and learn the way Cognizant is constructing its AI-first enterprise from the within out, hearken to the total episode beneath.
