『Comerit "What's Up Enterprise?" Podcast』のカバーアート

Comerit "What's Up Enterprise?" Podcast

Comerit "What's Up Enterprise?" Podcast

著者： Matt Florian David Caspillo Robert Godfrey Barry Ellis
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 Join data experts David Caspillo, Matt Florian, Robert Godfrey, and Barry Ellis as they take you on a journey through all things data. Whether you're a fellow data lover, or new to the art, you'll take lots away from their insights and conversation.2023 Comerit 経済学
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  • How SAP Business Data Cloud is Powering AI Transformation | with Abhijit Nilegaonkar

    How SAP Business Data Cloud is Powering AI Transformation | with Abhijit Nilegaonkar
    2025/09/02
    Abhijit Nilegaonkar, SAP Analytics expert with over 19 years of experience, joins David Caspillo on What’s Up Enterprise? to break down how SAP Business Data Cloud (BDC) and SAP Datasphere are reshaping enterprise data strategies. Abhijit shares his early experience leading one of the first greenfield Data Warehouse Cloud (now BDC) projects, and explains how SAP is building the foundation for AI-driven insights. Together, they explore why enterprises must focus on data trust, zero-copy architecture, and intelligent data products to unlock the full potential of AI. Watch now to hear Abhijit share: Why SAP created Business Data Cloud and how it differs from past data solutions How zero-copy architecture and data products accelerate AI adoption The role of SAP Joule and knowledge graphs in enabling contextualized, natural language insights What CIOs need to consider for multi-cloud and AI-augmented enterprise planning How BDC transforms financial, people, and spend analytics into actionable strategy If you’re working with SAP data and looking to scale AI responsibly, this is a must-watch conversation. 🔗 CONNECT WITH ABHIJIT NILEGAONKAR 👥 Linkedin: https://www.linkedin.com/in/abhijit55/?utm_source=chatgpt.com 🔗 CONNECT WITH COMERIT 👥 Linkedin : https://www.linkedin.com/company/comerit/ 🐦 X : https://twitter.com/comeritinc 💻 Website : https://www.comerit.com 📸 Instagram: https://www.instagram.com/comeritinc/ 🎶 TikTok: https://www.tiktok.com/@comeritinc
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    31 分
  • How Groq’s LPU™ is Redefining AI Speed and Efficiency

    How Groq’s LPU™ is Redefining AI Speed and Efficiency
    2025/03/26
    Ian Andrews, Chief Revenue Officer at Groq, breaks down how Groq’s groundbreaking LPU™ (Language Processing Unit) technology is transforming AI inference. He explains how Groq’s unique approach to AI hardware is enabling ultra-low latency processing, making real-time AI applications faster, more efficient, and more accessible. Ian also discusses the challenges enterprises face when scaling AI infrastructure and what the future holds for AI performance and cost efficiency. Watch now to hear Ian share: How Groq’s LPU technology is revolutionizing AI workloads The real-world impact of ultra-low latency AI inference Key challenges enterprises face in scaling AI infrastructure What Groq’s advancements mean for the future of AI efficiency Subscribe for more & connect below! 🔗 CONNECT WITH IAN ANDREWS 👥 Linkedin: https://www.linkedin.com/in/ianhandrews/ 🔗 CONNECT WITH COMERIT 👥 Linkedin : https://www.linkedin.com/company/comerit/ 🐦 X : https://twitter.com/comeritinc 💻 Website : https://www.comerit.com 📸 Instagram: https://www.instagram.com/comeritinc/ 🎶 TikTok: https://www.tiktok.com/@comeritinc
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    43 分
  • Episode 25: AI or ML: Which One Actually Matters?

    Episode 25: AI or ML: Which One Actually Matters?
    2025/01/22

    Vlad Kolesnikov, an AI/ML expert from Google, provides a clear explanation of the distinction between AI and machine learning and explores exciting developments shaping the future of AI. These include multimodal interaction, which allows AI systems to process various forms of input like text, images, and audio, and the rise of AI agents—intelligent systems designed to perform specific tasks. Vlad also emphasizes the critical role of well-annotated data models in ensuring the effectiveness of these advanced AI systems and offers guidance for developers seeking to enter the AI/ML field.
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    41 分
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