From Process to Chip: How Wipro and Intel Are Delivering ROI-First AI for the Enterprise

AI has already begun transforming several Industries, business models & processes. Accordingly, Enterprises have been pivoting their strategy to ensure they are well positioned to leverage AI for Growth, higher Margins and Efficiency. However, the ROI of AI initiatives is as much a function of the execution model as it is of the Use case, since AI is also upending the technology stack that delivers the Enterprise & Process transformations. The key challenge in execution is integrating the various components in the technology stack (hardware, software, domain knowledge, Services, Security etc.) in a cost-efficient manner without compromising on scale and performance.

A Partnership Built Around the Enterprise Pain Point

The partnership between Wipro and Intel addresses exactly this challenge — providing enterprise clients with an integrated solution that co-innovates by combining Intel’s expertise in chip design, compute efficiency, and security with Wipro’s strengths in domain knowledge, process mapping, data management, and analytics & AI.

The partnership between Wipro and Intel addresses exactly this pain point – providing Enterprise clients with an integrated solution that co-innovates based on Intel’s expertise on chip design, compute efficiency, security with Wipro’s expertise in Domain, process mapping, data management and Analytics & AI.

Pushpa Ramachandran – Vice President, Head of Data & Decision Sciences at Wipro explains that the philosophy is to deliver solutions optimized for scale, cost and time by adding value at every step, from ‘Process to Chip’ and everything in between. Solutions that have been jointly built include a re-engineered Loan origination system, an AI & Gen AI led SAR (Suspicious Activity Reporting) solution, automated & tailored Marketing campaign Manager and several Computer Vision use cases. These Solutions are designed to deliver ROI based on the philosophy of having the most optimal solution for every problem.

Tackling TCO, Sovereign AI, and Responsible AI

Raghavendra Ural, Director of Engineering, Datacenter AI Solutions at Intel further adds that optimized solutions work on 3 key client requirements of TCO, Sovereign AI and Responsible AI. By leveraging SLMs (rather than LLMs) that suffice for most Use cases and using Intel XEON CPUs for model inferencing, TCO can be brought down by up to 2/3^rd of potential costs. Besides, the design allows for model & Solution deployment in Private clusters to maintain privacy and security, in addition to Intel’s own embedded security layers such as TDX (Trust Domain extensions) and SGX (Software guard extensions). This optimized design ensures much lower carbon footprint than other architectures that over-provision the compute (GPU) capacity required.

Speed, Agility, and the VEGA Accelerator

It is important to note that offering an AI first, optimized & integrated solution that delivers ROI is critical but not sufficient. Enterprise clients also demand Speed of implementation while emphasizing the need for AI to be Sustainable and Responsible. Wipro addresses the Speed and Agility requirement through VEGA, WIPRO’s accelerator that enables Enterprises to deploy these solutions based on internal data quickly and then also monitor the efficacy of the solutions over time. AI models often suffer from Model ‘drift’ and hallucinations which VEGA helps to track and rectify.

Sustainability: Designing for Minimal Carbon Footprint

In recent times, Enterprises have sharpened their focus on minimizing the Carbon footprint in their business. AI compute clusters can be Water and Power intensive. This is where Intel’s multi-decade experience in optimizing tech stacks comes in handy as these Solutions can be designed for minimal carbon footprint impact. Raghavendra points out that Industry benchmark metrics is seeing a shift from ‘$ per token’ to ‘Token per Watt’. Intel and Wipro believe their Solution design is best positioned to address this shift and meet the multiple needs of their Enterprise clients as Clients leverage AI for their business.