On The Bike Shed, hosts Joël Quenneville and Stephanie Minn discuss development experiences and challenges at thoughtbot with Ruby, Rails, JavaScript, and whatever else is drawing their attention, admiration, or ire this week.
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"AI, ERP and Cloud: Shaping the Future of Business - A Deep Dive into IBM, Oracle, SAP and Gartner Predictions"
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Manage episode 455238123 series 3564239
Inhalt bereitgestellt von Tom Pfister. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Tom Pfister oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
The Data Management Briefing on December 13, 2024 provides critical insights into the evolving field of data management and technology. In this episode, we discuss upcoming regulatory changes prompting ERP and AI-cloud migrations, with a projected global ERP market spending of $183 billion. We delve into Gartner's prediction of a growing trend towards AI-only channels in customer service operations among Fortune 500 companies. We'll also examine the potential pitfalls companies need to avoid, such as security breaches and compromised customer trust, amid this digital transition. The podcast also covers SAP NS2's recent accolade as the 2024 AWS Federal Government Technology Partner of the Year. We discuss their effective, secure, and innovative cloud strategies, especially their tailored solutions for government agencies. We examine IBM's AI-powered enhancements to its Maximo Application Suite and its drive towards environment-friendly asset management. Discover how the updated suite includes advanced tools for managing operational emissions and integrating ESG platforms. Lastly, we briefly touch on Oracle's fiscal performance in Q2 2025. Despite a slight shortfall in total revenue and a failed server deal, the large-scale movement towards AI-cloud infrastructure seems to promise continued growth for Oracle. Tune in to keep up-to-date with the most recent breakthroughs and trends in data management.
…
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37 Episoden
MP3•Episode-Home
Manage episode 455238123 series 3564239
Inhalt bereitgestellt von Tom Pfister. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Tom Pfister oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
The Data Management Briefing on December 13, 2024 provides critical insights into the evolving field of data management and technology. In this episode, we discuss upcoming regulatory changes prompting ERP and AI-cloud migrations, with a projected global ERP market spending of $183 billion. We delve into Gartner's prediction of a growing trend towards AI-only channels in customer service operations among Fortune 500 companies. We'll also examine the potential pitfalls companies need to avoid, such as security breaches and compromised customer trust, amid this digital transition. The podcast also covers SAP NS2's recent accolade as the 2024 AWS Federal Government Technology Partner of the Year. We discuss their effective, secure, and innovative cloud strategies, especially their tailored solutions for government agencies. We examine IBM's AI-powered enhancements to its Maximo Application Suite and its drive towards environment-friendly asset management. Discover how the updated suite includes advanced tools for managing operational emissions and integrating ESG platforms. Lastly, we briefly touch on Oracle's fiscal performance in Q2 2025. Despite a slight shortfall in total revenue and a failed server deal, the large-scale movement towards AI-cloud infrastructure seems to promise continued growth for Oracle. Tune in to keep up-to-date with the most recent breakthroughs and trends in data management.
…
continue reading
37 Episoden
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