Boston Consulting Group (BCG) and Intel (Intel) announced a strategic partnership to leverage Intel's end-to-end AI hardware and software to enable Generative artificial Intelligence (GenAI) to bring fully customized and proprietary solutions to enterprise customers, It also isolates private data in its trusted environment.
"Generative AI is an emerging and dynamic field, which means organizations must choose the right technology to drive their generative AI journey," said Suchi Srinivasan, managing director and partner at BCG. The technology must be enterprise-class from the start, with privacy, security, ease of use, and scalability in mind. "Our partnership with Intel will enable companies to develop a competitive advantage through custom, generative AI solutions while thoughtfully navigating the people, process and policy changes needed to get the most value from these transformative solutions."
The ability to scale AI applications across the enterprise continues to challenge businesses across industries. While a new wave of generative AI features has the potential to transform entire industries and create long-term competitive advantage, one obstacle preventing companies from adopting is the inherent risks associated with data privacy and security. Fundamental to this collaboration is embedded security to better protect current and future data. According to a joint study by BCG and MIT Sloan Management Review, 84 percent of global executives believe that responsible artificial intelligence (RAI) should be at the top of the management agenda, but only 25 percent have a comprehensive RA plan in place.
Sandra Rivera, executive vice president and general manager of Intel's Data Center and AI Group, said: "Generative AI needs a truly democratically accessible approach that offers more secure and scalable options so that businesses can safely benefit from the technology. Our partnership with BCG allows us to help clients build generative AI applications that require technology that optimizes the entire stack within their chosen range of security."
Companies are also trying to find emerging tools to monitor and manage these generative AI solutions at scale and easily integrate them into existing enterprise workflows. This collaboration can provide turnkey enterprise-level products out of the box, enabling enterprises to easily meet scaling and lifecycle management requirements with greater cost effectiveness.
BCG uses the complementary strengths of Intel Xeon Scalable processors and AI Optimized Hardware Accelerators (Habana Gaudi), as well as Intel AI supercomputers powered by production-ready hybrid cloud-scale software, to support domain-specific foundation models trained on BCG proprietary data, The model provides insights based on more than 50 years of highly confidential and proprietary data. In addition, all AI training and reasoning is done within BCG's safe limits.
With a customized natural language chatbot interface powered by Intel's AI hardware and software, BCG employees are able to retrieve and summarize information through semantic search that was previously hidden in long lists of multi-page documents. Compared to existing keyword search solutions used by BCG employees, users reported a 41% increase in satisfaction, a 25% increase in results relevance and a 39% increase in job completion using production-grade generative AI applications.
The joint products offered by this collaboration are designed to address different practical business problems, such as the adoption of automated portfolio management agents for the asset management industry, airline maintenance operations using proprietary aviation data, and more secure software development agents with customized secure code bases.
