VP of AI Ops at data.world, Brandon Gadoci, discusses how AI Ops can optimize business processes using generative AI, understanding people's needs, evolving technology stacks, and the importance of quick wins. He also talks about empowerment through technology, recommends inviting Rachel Woods for insights, and suggests a bespoke AI news tracking app.
AI Ops leverages generative AI to optimize business processes and drive impact through technology.
Measuring ROI of AI involves tracking web analytics, implementing feedback mechanisms, and focusing on productivity gains.
Deep dives
Understanding AI Ops and Its Business Impact
AI Ops involve leveraging generative AI technology to optimize business processes, improve functions within sales, marketing, and customer success, and drive impact through technology. The focus is on people, process, impact, value first, then technology supporting these pillars. Different levels of AI Ops implementation range from quick wins to interacting with enterprise data, providing a maturity model to consider. Quick wins, like using AI for creating landing pages in marketing, showcase immediate impact and require evolving technology stacks.
Measuring ROI and Enhancing AI Adoption
Measuring the ROI of AI implementations involves tracking web analytics, implementing feedback mechanisms like surveys, and focusing on productivity gains. Adapting and expanding AI usage involves understanding business processes, resolving duplicate work, and addressing problems that AI may not solve directly. Challenges include handling sensitive data and ensuring AI empowerment while recognizing the growing significance of AI Ops in future business strategies.
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Exploring the Impact of AI Ops on Business Processes and Technology Evolution
AI Ops is a new and upcoming role focused on understanding and improving the business process by using AI. In this episode, Brandon Gadoci, VP of AI Ops at data.world shares his experience on how to get started and what are the opportunities for the business.
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