Synopsis: In this AI Leadership Insights video interview, Amanda Razani speaks with Saeed Elnaj, CIO of RELI Group, about AI trends, use cases and predictions, as well as some areas where the AI hype is overblown.
This interview opens with Amanda Razani introducing Saeed Elnaj, the CIO of RELI Group—a system integration and management consulting firm focused on health care safety and security. Saeed outlines that RELI Group supports over 22 health care programs, including those with the Centers for Medicare and Medicaid Services and other agencies, leveraging innovative, cutting-edge technologies to enhance healthcare quality and efficiency while reducing costs, fraud, and waste.
The conversation then shifts to the transformative potential of AI across multiple industries. Saeed emphasizes that AI is set to revolutionize not only health care through advancements in drug discovery and fraud prevention but also a wide array of business processes. He cites compelling predictions, noting that by 2025, approximately 750 million apps will be built using large language models, and generative AI is expected to generate between $3.5 to $4 trillion in value—comparable to the entire GDP of the United Kingdom.
Exploring the balance between innovation and hype, Saeed discusses both the exciting advancements and the challenges associated with AI deployment. He highlights emerging trends such as multimodality—where AI can interact via text, audio, video, and images—and the rise of agent AI, which can tackle complex research tasks at unprecedented speeds. However, he also warns of the risks tied to overhyped technology, citing concerns around platforms like deep seek and the necessity for proper security measures and guardrails to mitigate issues like bias, toxicity, and inaccuracy.
Concluding the discussion, Saeed advises business leaders to remain proactive in their AI journey, emphasizing that compliance with existing regulations (such as HIPAA) remains paramount regardless of the evolving technological landscape. He underscores the importance of selecting secure AI models and building robust safeguards while continuously experimenting with and evaluating new use cases. His key takeaway is clear: don’t sit on the sidelines—engage with AI experts and innovative methodologies to drive meaningful transformation.
