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Delivering Customized Solutions Under Strong Security
Intel has partnered with Boston Consulting Group (BCG) to provide enterprise customers with fully customized proprietary solutions for generative artificial intelligence (AI) while maintaining a strong security posture.
Intel announced on the 11th a strategic collaboration with BCG to implement generative artificial intelligence (AI) using Intel's end-to-end AI hardware and software.
Through this collaboration, enterprise customers can be provided with fully customized proprietary solutions while keeping personal data isolated in a trustworthy environment.
The ability to scale AI applications across enterprises continues to be an ongoing challenge for businesses across industries.
The new wave of generative AI has the potential to transform entire industries and create long-term competitive advantages, but inherent risks related to data privacy and security are becoming barriers to enterprise adoption.
At the foundation of this collaboration is embedded security to protect current and future data more safely.
According to joint research by BCG and MIT Sloan Management Review, 84% of global executives believe "Responsible AI (RAI)" should be a top priority on the management agenda, but only 25% reported having a comprehensive RAI program in place.
Sandra Rivera, Vice President overseeing Intel's Data Center and AI Group, said, "Generative AI requires a democratized approach that offers secure and scalable options for enterprises to safely benefit from the technology. Through our collaboration with BCG, we can support customers in building generative AI applications across the full stack optimized within their chosen security boundaries."
BCG leveraged Intel's AI supercomputer and hybrid cloud software powered by the complementary advantages of Intel Xeon Scalable processors and AI-optimized hardware accelerators (Habana Gaudi), and deployed domain-specific foundation models trained on BCG's proprietary data that provides insights based on confidential and proprietary data accumulated over 50 years. All AI training and inference was completed within BCG's security perimeter.
BCG employees can now search and summarize information previously buried in long lists of multi-page documents using semantic search through a customized natural language chatbot interface powered by Intel AI hardware and software. Compared to the keyword search solution BCG employees previously used, they experienced incremental improvements including a 41% increase in satisfaction, 25% improvement in result relevance, and 39% improvement in task completion when using production-grade generative AI applications.
The joint solution provided through this collaboration is designed to address various business challenges, including an automated portfolio management agent for the asset management industry, airline maintenance operations using proprietary airline data, and a more secure software development agent with customized confidential code bases.
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