Boston Consulting Group (BCG), a global consulting firm, and Intel have joined hands to enable generative artificial intelligence (GenAI) solutions for enterprise clients. The aim of the partnership is to use end-to-end Intel AI hardware and software, bringing fully custom and proprietary solutions while keeping private data in the isolation of their trusted environments.
“Generative AI is an emerging and dynamic space, which means organizations must pick the right technology to power their GenAI journey,” says Suchi Srinivasan, a managing director and partner at BCG. “The technology must be enterprise-grade from day one and allow for privacy, security, ease of use, and scalability. Our collaboration with Intel will enable enterprises to develop competitive advantages via custom GenAI solutions while thoughtfully navigating the people, process, and policy changes required to derive the maximum value from these transformative solutions.”
Address the risk of Data Privacy and Security
Generative AI is an emerging technology and have several use cases. It has the capability to execute creative tasks and improve overall performance, productivity and drive enterprise value. However, the ability to scale AI applications throughout the enterprise continues to challenge businesses across industries. While the new wave of GenAI capabilities has the potential to transform the entire industry and create long-term competitive advantage. There is still a barrier to enterprise adoption of GenAI, the inherent risks associated with data privacy and security. The collaboration between Intel and BCG addresses the data privacy and security requirements and also enables seamless integration of AI capabilities into existing enterprise workflows.
According to joint research by BCG and MIT Sloan Management Review, 84% of global executives believe responsible AI (RAI) should be at the top of management agendas, yet only 25% have comprehensive RAI programs in place.
“Generative AI requires a truly democratized approach that enables more secure and scalable choice so enterprises can safely benefit from the technology,” says Sandra Rivera, executive vice president and general manager of the Data Center and AI Group, Intel.
Enterprises also struggle with nascent tools to monitor and manage these GenAI solutions at scale and integrate them easily into existing enterprise workflows. This collaboration allows for an out-of-the-box, turnkey enterprise-grade offering that enables enterprises to meet scaling and life-cycle management requirements easily and in a more cost-effective manner.
Intel’s AI Supercomputer
BCG is using Intel’s AI supercomputer which is powered by the Intel Xeon Scalable Processors and AI-optimized hardware accelerators (Habana Gaudi). BCG employed a domain-specific foundation model trained on its own proprietary data. In addition, all AI training and inferencing were completed within BCG’s security perimeter.
Together with a custom natural language chatbot interface powered by Intel AI hardware and software, BCG employees were able to retrieve and summarize information via semantic search that was previously buried in long lists of multi-page documents. Compared with the existing keyword search solutions utilized by BCG employees, users reported step change improvements of a 41% increase in satisfaction, 25% growth in result relevancy, and a 39% increase in improved work completion rates using the production-grade GenAI application.
The joint offering powered by this collaboration is designed to solve diverse real-world business problems such as employing automated portfolio management agents for the asset management industry, airline maintenance operations using proprietary airline data, and more-secure software development agents with custom confidential codebases.
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