How Google makes AI work at Enterprise scale - Miku Jha (Director, AI/ML and Generative AI, Google Cloud
Nov 6, 2024
auto_awesome
Miku Jha, Director of AI and ML at Google Cloud, shares her insights into making AI work effectively for businesses. She discusses her entrepreneurial journey and the need for AI solutions to tackle real-world challenges. The conversation delves into the complexities of AI hallucinations, the importance of data strategy, and the ethical considerations surrounding AI. Miku also emphasizes how accessible AI tools can empower entrepreneurs to innovate and solve intricate problems using generative AI.
Successful AI integration in enterprises starts with addressing specific business problems rather than pursuing AI for its own sake.
Establishing clear data strategies and responsible AI practices is crucial for minimizing risks associated with AI model hallucinations.
Deep dives
Introduction to Generative AI in Enterprises
The conversation highlights the role of generative AI (Gen AI) in large-scale enterprise deployments, emphasizing the importance of transitioning from conceptual ideas to real-world applications. Miku Ja, an expert from Google Cloud, explains that they work closely with partners to integrate generative AI solutions effectively. Her background as a serial entrepreneur is underscored, particularly her efforts to leverage AI for reducing food waste by automating processes, illustrating that successful AI initiatives start with addressing concrete business problems. Ja asserts that many organizations mistakenly pursue AI for its own sake rather than as a tool to solve specific issues, and emphasizes the need to begin with clear business objectives.
Key Success Factors for Implementing AI
Ja outlines four essential success factors for integrating generative AI into enterprises. The first involves the necessity of having a well-defined platform strategy to manage multiple AI models tailored to different business scenarios. Second, she emphasizes the significance of unique data and knowledge as crucial differentiators for businesses, rather than solely relying on purchasing capabilities from platforms. Lastly, she discusses the importance of enterprise readiness and the establishment of guardrails to manage AI outputs, including potential issues like data leakage and model hallucinations, illustrating the need for careful planning and due diligence in these implementations.
Addressing Hallucinations and Grounding Data
The discussion also delves into the challenge of AI model hallucinations, where the AI generates inaccurate or fabricated responses. Ja points out that grounding AI outputs with curated data is essential, using the example of a journalism organization that grounds its AI responses with its own past archives to ensure reliability. Safeguards need to be implemented to minimize risks associated with hallucinations, indicating that responsible AI practices must be integral to the entire deployment process rather than merely seen as an afterthought. The talk reinforces the concept that creating reliable AI systems requires both rigorous data management and a commitment to responsible AI principles.
Future-Proofing AI Investments
Lastly, Ja stresses the importance of adopting a forward-thinking approach when choosing AI platforms, encouraging organizations to prioritize flexibility and optionality. Companies should not make AI investments based on current trends but should ensure that their chosen solutions can adapt to future innovations in AI technology. Additionally, understanding the implications of data readiness and responsible AI policies must be established from the outset, reinforcing that such strategies are not mere checkboxes but foundational principles. The central message is to leverage the power of generative AI to tackle real-world challenges efficiently and responsibly, improving operational efficiency without the need for massive teams or extensive resources.
In this conversation, we speak with Miku Jia, the Director for AI and ML at Google Cloud, about the practical applications of AI in enterprises. We discuss Miku's journey into AI, the importance of addressing real business problems with AI solutions, and the key success factors for implementing AI effectively. The conversation also covers the challenges of AI hallucinations, the need for responsible AI practices, and the significance of data strategy in leveraging AI technologies. Miku emphasizes the accessibility of AI tools for entrepreneurs and the potential for solving complex challenges with generative AI.
Our Hosts Lily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She’s currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She’s worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.
Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury’s. He participated in Silicon Valley Product Group’s Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He’s the author of What Do We Do Now? A Product Manager’s Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon’s music stores in the US & UK.
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode