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This podcast series aims to explore the fascinating world of Generative AI unplugged, its applications, and its impact on various industries.
How EY can help
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Our Consulting approach to the adoption of AI and intelligent automation is human-centered, pragmatic, outcomes-focused and ethical.
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At a foundational level, AI automates workflows, detects patterns, and delivers real-time predictions, creating a closed-loop system for continuous learning. This will help companies optimize value chains, enhance revenue streams through improved channels and pricing, and transform delivery with new interfaces.
A new AI-powered tech stack is emerging, combining foundational models with specialized tools. Enterprises are increasingly adopting SLMs for domain-specific tasks due to their cost efficiency, precision, and ability to run on edge devices. Enterprise software providers such as SAP, Salesforce and Oracle are embedding AI into their platforms, accelerating adoption with ready-to-deploy AI tools. Meanwhile, traditional Robotic Process Automation (RPA) is evolving into intelligent automation by integrating GenAI, enabling systems to adapt dynamically to changes without manual intervention.
A solid data foundation is pivotal to enterprise AI success. Enterprises are implementing robust governance frameworks, addressing challenges related to data quality, diversity and sensitivity.
Modern data stacks, including cloud platforms and scalable data lakes, enable real-time ingestion and processing, essential for AI implementation.
Companies that nurture proprietary datasets are gaining competitive advantages by achieving superior model performance.
Preparing people for AI is crucial to unlocking its full potential, ensuring both technological adoption and workforce adaptability. Change management bridges the gap between innovation and execution, enabling organizations to thrive in an AI-driven world.