Synthetic Intelligence (AI) is now not a futuristic idea—it’s a essential lever for enterprise transformation in the present day. But, organisations usually battle to maneuver past theoretical methods into tangible implementation. There’s a rising want for structured frameworks, accountable deployment fashions, and expert expertise to make AI really enterprise-ready. On this interview, Fan Ho, government director and common supervisor of Options & Providers Group (SSG), Asia Pacific at Lenovo, speaks to Sudhir Chowdhary about how Lenovo’s strategy helps organisations flip AI imaginative and prescient into measurable outcomes. Excerpts:
Regardless of vital curiosity, AI adoption stays uneven throughout industries. What are essentially the most persistent challenges?
The important thing limitations will not be technological—they’re structural. Organisations should handle three essential areas earlier than eager about the instruments: individuals, processes, and governance. In our expertise, many enterprises are wanting to experiment with AI, however lack inside capabilities and governance frameworks to deploy it successfully. Our current survey revealed that solely 19% of Indian firms have a proper AI governance construction in place, in comparison with 25% throughout the Asia-Pacific area. With out this basis, AI stays a pilot—by no means a completely built-in resolution.
Is ROI on AI actually measurable?
It should be measurable—and at Lenovo, we make sure that it’s. By way of our AI Quick Begin mannequin, we decide to delivering a working proof-of-concept (PoC) in simply 90 days. This isn’t a protracted six-month pilot; it’s a targeted, results-oriented engagement. Lenovo AI Quick Begin is an answer that helps organisations rapidly transition to AI-powered deployments, specializing in accelerated deployment and proof of enterprise worth.
A chief instance is our collaboration with Method One. They wanted to scale video content material manufacturing to have interaction a youthful, digital-native viewers. Utilizing Lenovo’s AI-driven pc imaginative and prescient resolution, they achieved over 99% body correction accuracy, considerably lowering handbook high quality checks and accelerating time-to-publish. That is demonstrable ROI—measured in effectivity beneficial properties, price discount, and enhanced fan engagement.
How is India positioned within the broader context of AI adoption within the Asia-Pacific area?
India is rising as a promising marketplace for AI deployment, notably in healthcare. We’re seeing accelerated adoption in diagnostics and pharma analysis. A number of Indian hospitals, for instance, now use AI to display screen over 50% of medical scans, permitting specialists to focus solely on complicated instances. Equally, AI-driven molecular modelling is reworking drug discovery processes within the pharmaceutical sector. General, in comparison with some APAC markets that stay cautious, Indian enterprises are extra inclined to put money into AI over the following 12-24 months.
Many enterprises have a imaginative and prescient for AI however battle with execution. How does Lenovo bridge this hole?
Our strategy is essentially collaborative. We don’t ship AI options in isolation. As an alternative, we comply with a build-transfer mannequin. Our engineers co-develop options with shoppers and prepare their groups all through the engagement. This ensures that when the PoC is full, the shopper’s inside workforce is empowered to scale and handle the answer independently. In impact, we assist them develop inside champions—what we name “inexperienced belts” within the Six Sigma framework – who drive future AI initiatives.
How does Lenovo handle the expertise hole in AI adoption?
Think about our work with Esky Logistics, one in all Singapore’s main logistics companies. They confronted a expertise scarcity in bodily demanding warehouse roles. Lenovo deployed a completely automated warehouse administration resolution, full with robotics and AI. Not solely did this improve capability by as much as 50%, nevertheless it additionally made the office extra interesting to youthful professionals by shifting roles from handbook labour to tech-enabled operations. That is how AI can improve operational effectivity whereas additionally addressing workforce challenges.
What does the longer term roadmap appear to be for Lenovo in AI?
Our long-term technique is centred round Hybrid AI. We foresee a future the place enterprise, public, personal, and private AI coexist. More and more, organisations are choosing on-premise or hybrid AI infrastructure, particularly when coping with delicate information. Lenovo is uniquely positioned to assist this shift—we’re the one know-how firm that may provide options “from pocket to cloud.” As AI turns into extra embedded in core enterprise features, our purpose is to assist enterprises undertake it responsibly, effectively, and at scale.
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