Generative AI in Enterprises: Unleashing Potential and Navigating Challenges


Generative AI is emerging as a transformative force in enterprise transformation. From enabling human-like interactions through intelligent chatbots, IT service management, and IT operations management, to driving innovation across diverse domains in various enterprise functions such as sales, marketing, legal, supply chain, finance, and others, generative AI holds the promise of revolutionizing how businesses engage customers, employees, and optimize processes. By harnessing generative AI models like Chat-GPT, GPT-4, Llama2, and tailored variants trained with enterprise data, many companies are embarking on a journey to uncover the transformative influence of this generative AI-driven innovation. Yet, with great promise comes the need to address challenges such as costs, data privacy, governance, and ethical deployments. In this talk, I’ll share our insights and observations so far from our ongoing early-phase projects, exploring the potential, excitement, challenges, and some early-stage lessons. Join us on this exploration of possibilities as we navigate the broad spectrum of generative AI's potential and its impact on reshaping the future of enterprises.

Session Outline:

In this session you will learn about some early experiences, and best practices of deploying Generative AI solutions in enterprises.


Rama Akkiraju is a VP of Enterprise AI & Automation at NVIDIA. Prior to this, Rama held various leadership roles at IBM in her two decades-plus career. Most recently, Rama was an IBM Fellow, and a Master Inventor at IBM where she was the CTO of IBM Watson AI Operations product, a product to optimize IT operations management with AI. Prior to this role, Rama led the AI mission of enabling natural, personalized, and compassionate conversations between computers and humans where she and her team developed and delivered several differentiating AI Services such as Personality Insights, Tone Analyzer, Emotion Analysis, and Sentiment Analysis services to the IBM Watson platform. Rama also led the effort to scale IBM Watson’s AI services including Automatic Speech Recognition, Natural Language Understanding, and Chatbot services to dozens of languages. Before this, Rama led various projects and Research teams at IBM Watson Research Center and IBM Almaden Research Center in the areas of agent-based decision support systems, business process management, electronic marketplaces, and semantic Web services, for which she led a World-Wide-Web (W3C) standard.

Rama has co-authored over 100 technical papers. Rama has 50+ issued patents and 25+ pending. She is the recipient of 4 best paper awards in AI and Operations Research areas. Rama served as the President of ISSIP, a Service Science professional society for 2018, and continues to be on the organization’s Strategy committee. Rama holds a master’s degree in Computer Science and has received a gold medal from New York University for her MBA for the highest academic excellence.

Rama was named by Forbes as one of the ‘Top 20 Women in AI Research’ in May 2017, has been featured in ‘A-Team in AI’ by Fortune magazine in July 2018, and was named ‘Top 10 pioneering women in AI and Machine Learning’ by Enterprise Management 360 in April 2019. Rama is also the recipient of the University of California, Berkeley’s Athena award for Technical and Executive Leadership for 2020. In 2022, Rama was named ‘USA Industry innovator of the Year 2022’ by the Women in AI Organization and ‘AI Industry Leader of the Year 2022’ award by the Women Leaders in Data & AI (WLDA) organization.

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