In an era characterised by digital disruption and data proliferation, industries across the globe are turning to artificial intelligence (AI) and high-performance computing (HPC) to unlock new possibilities and drive competitive advantage. However, navigating the complexities of AI implementation and ensuring its alignment with specific industry needs remain significant challenges for organisations, says Scott Tease, vice-president, general manager, AI & HPC worldwide at Lenovo. In a recent interview with Sudhir Chowdhary, he sheds light on the company’s strategic approach to AI adoption. Edited excerpts:
What is the current landscape of AI adoption by businesses across the world?
In today’s landscape, we’re observing a clear division among businesses regarding their approach to AI integration. According to the CIO Technology Playbook 2024 report commissioned by Lenovo, 46% of CIOs from the AP region see AI as a game changer. They view it as a transformative technology and are actively investing in leveraging its capabilities to gain a competitive edge.
However, for many of our clients, AI can be overwhelming and intimidating, especially for those lacking in-depth expertise. Many are reluctant to directly purchase AI solutions due to the perceived complexities and risks. This is where our AI Innovator Programme comes into play. It offers a solution that addresses these concerns by providing turnkey cognitive capabilities. Instead of purchasing AI software, clients invest in tangible outcomes such as end-of-line quality control or loss prevention at self-checkouts. By focusing on specific use cases and implementing stringent guardrails, we mitigate risks associated with AI deployment. Concerns about bias, transparency, predictability, and potential anomalies are addressed through tailored solutions, instilling confidence and comfort in our clients.
Are there any India-specific findings that stand out?
It will be intriguing for the Indian audience with approximately 150+ Indian CIOs surveyed, India outpaces other powerhouse economies like Japan and Australia/New Zealand. This comparison sheds light on the varying rates of AI adoption across different verticals. Moreover, it’s essential to recognise that AI adoption is a journey, not a sudden transition.
In the Indian context, there’s a need to clarify what constitutes AI. Organisations seek alignment of AI with their business objectives, moving beyond mere chatbots or digital avatars. Success lies in leveraging technologies for learning, and managing time-sensitive data efficiently. Real-time data processing is crucial, especially in scenarios like fraud detection, where immediate action is necessary.
Tell us about the factors driving adoption.
The current focus in AI revolves around achieving a substantial return on investment (ROI) by replicating tasks previously seen as exclusive to humans. Among AI solutions, those with the most significant financial impact are gaining momentum. For instance, our partnership with Kroger, a major US grocery chain, addressed billion-dollar losses from self-checkout issues like mis-scans and theft. By implementing computer vision AI, we swiftly detect anomalies during transactions, preventing losses. Better ROI and loss prevention, customer service, and catalysing innovation are some of the factors that drive the adoption of AI.
What is Lenovo ISG’s long-term strategy and future roadmap?
AI is evolving rapidly, and it’s challenging to predict its trajectory. At present, our focus remains on meeting customer needs. We believe that most AI tasks don’t require high-powered GPU systems, emphasising the importance of appropriately sized AI solutions tailored to specific requirements. Investing in expensive AI servers may not always yield favourable business returns, whereas cost-effective CPU-based systems can offer significant ROI.
Expanding our portfolio to enable AI deployment across various environments is a key objective. Our global innovator programme is transitioning to localised chapters to tap into unique innovation hubs like India. We recognise the value of leveraging local expertise and support for clients, enhancing confidence in deploying AI solutions with Indian intellectual property. Regionalising our initiatives is crucial for widespread adoption, ensuring accessibility and support for clients worldwide.