Lenovo aims to make AI accessible to all enterprises
The AI strategy of Lenovo is to deliver AI platforms that address the specific requirements of a particular sector or enterprise where they are able to realise real value.
Global technology company Lenovo aims to make artificial intelligence (AI) accessible to all kinds of enterprises as the technology platform moves from the proof of concept stage to actual implementation.
Today, the AI world is dominated by the headlines of large language models (LLMs), huge data centres, and agentic platforms with enterprises leveraging these platforms but still their requirements are different.
“Lenovo is specifically focused on making AI attainable for more people. If everyone that needs AI has to build a new data centre then it is going to severely limit AI’s benefit,” said Scott Tease, VP & Global HPC AI Leader, Lenovo in an interaction with EnterpriseStory.
He further noted that a lot of value can be unlocked if AI can be integrated on mobile handset, laptop or even a standard server. “We want to put AI everywhere,” he remarked.
Scott Tease (left), VP & Global HPC AI Leader Lenovo and Amit Luthra, MD, Lenovo ISG India
Lenovo aims to do that by bringing the benefits of AI onto data residing at the premises of the enterprise instead of taking AI to the cloud where the data resides.
According to Tease, given the value of data today, enterprises are more comfortable in having this information within their framework to gain insights and Lenovo has been engaged in providing AI solutions that are easy to understand, explainable and in a transparent manner.
He said when enterprises are able to leverage their data based on their specific requirements, they will be able to see big value.
This strategy also fits into the strategic goal of the country where there is sovereignty both on the data and AI models.
On the engagement of AI by Indian enterprises, Amit Luthra, MD, Lenovo ISG India, said, the country is on par with anyone else in the world and the curiosity level is quite high.
“We see a lot of enterprise AI are now becoming real. They are not in PoC stage but getting into actual production,” Luthra said.
This also gives rise to the concept of a medium language model where the benefits of AI are specific to a particular company or sector. Unlike the LLMs which are much more broadbased and generally cannot address the specific requirements of an enterprise.
“We are going to see exponential value creation as companies take those models that have been created and train them for their own usage,” Luthra said.
Today, Lenovo is finding strongest traction for AI among Indian enterprises from the sectors of BFSI, manufacturing, retail, etc. They leverage this technology for functions such as sales, legal, advertising, finance, customer support, etc.
Lenovo is also keen to drive home the point for the enterprises that AI projects cannot be termed successful until there is an improvement in efficiency level and higher adoption rate.
Lenovo brings an array of solutions that spans across hardware and software to deploy the AI solutions. Besides, it also provides AI experts as a service. Though, this does not mean that the entire AI activity will be done inhouse or on-prem as it will be a hybrid kind of a model. Under this, the core data will reside within the enterprise and non-core activity will be in the cloud set up.
“AI is not a one-size-fits-all. One will get small, medium or large models,” remarked Tease.