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Episode 88: Data is the new oil!

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Inhalt bereitgestellt von The Cloud Architects. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von The Cloud Architects 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.
In this episode we're once again joined by Philip Miller to continue our AI discussion, and this time we also invited Todd Wright from Progress to discuss data and the importance of data accessibility and connectivity within AI. Generic large language models (LLMs) like ChatGPT are fun and all, but being able to leverage your own organizational data in a secure way to train models is where the real magic happens. AI is a long-term program and not just a short term 'one and done' project. We discuss some practical guidance on how to make the most of your data and why data quality and governance are so important. Philip Miller is a Senior Customer Success Manager at Progress, a leading software company that enables enterprises to accelerate the creation and delivery of strategic business applications. He has over six years of experience helping customers and partners maximise their investment in MarkLogic by Progress, the only enterprise-grade data platform that integrates data from any source and any format. You can connect with Philip on LinkedIn (https://www.linkedin.com/in/philipdavidmiller/) Todd Wright is a Senior Product Marketing Manager at Progress, helping enterprises thrive by providing the best products to develop high-impact business applications securely and reliably, while automating how you configure, deploy, manage and scale those apps on premise or in the cloud. You can connect with Todd on LinkedIn(https://www.linkedin.com/in/todd-wright-dm/) and find out more about Progress DataDirect here (https://www.progress.com/datadirect-connectors)
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97 Episoden

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Manage episode 422333286 series 2000401
Inhalt bereitgestellt von The Cloud Architects. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von The Cloud Architects 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.
In this episode we're once again joined by Philip Miller to continue our AI discussion, and this time we also invited Todd Wright from Progress to discuss data and the importance of data accessibility and connectivity within AI. Generic large language models (LLMs) like ChatGPT are fun and all, but being able to leverage your own organizational data in a secure way to train models is where the real magic happens. AI is a long-term program and not just a short term 'one and done' project. We discuss some practical guidance on how to make the most of your data and why data quality and governance are so important. Philip Miller is a Senior Customer Success Manager at Progress, a leading software company that enables enterprises to accelerate the creation and delivery of strategic business applications. He has over six years of experience helping customers and partners maximise their investment in MarkLogic by Progress, the only enterprise-grade data platform that integrates data from any source and any format. You can connect with Philip on LinkedIn (https://www.linkedin.com/in/philipdavidmiller/) Todd Wright is a Senior Product Marketing Manager at Progress, helping enterprises thrive by providing the best products to develop high-impact business applications securely and reliably, while automating how you configure, deploy, manage and scale those apps on premise or in the cloud. You can connect with Todd on LinkedIn(https://www.linkedin.com/in/todd-wright-dm/) and find out more about Progress DataDirect here (https://www.progress.com/datadirect-connectors)
  continue reading

97 Episoden

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