درباره این پادکست 🔗
The introduction of the first computer. The boom of the dotcom renaissance. Now, the dawn of AI. The throughline across each of these momentous inflections in our digital lives has been data. But the presence of data doesn’t mean immediate insights and results. It’s the architectures and systems in place that determine the true value—and trust—of data. In this podcast by Cloudera, The AI Forecast: Data and AI in the Cloud Era explores the past, present, and future of enterprise AI with today’s leading companies and industry experts. You don’t want to miss this.
میزبان‌ها:
فرکانس به روز رسانی:
every 5 days
میانگین طول صدا:
39 minutes
مصاحبه های مهمان
اسپانسر دارد
انگلیسی
ایالات متحده آمریکا
98 قسمت
از سال 19 نوامبر 2024
episodic
آخرین اپیزود 🔗
Your AI agent has credentials. Now, what happens when it goes off script?
An agent can take action and change course before a traditional security review even begins. For Alex Bovee, identity is only the beginning of the security conversation.
In this episode of The AI Forecast, Paul Muller sits …
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اپیزودهای قبلی The AI Forecast: Data and AI in the Cloud Era را جستجو کن.
اپیزود قبلی 🔗
An AI project can deliver a great prediction and still fail the business.
Rajesh Kelvalkar has seen it happen firsthand. In one mining project, the model worked, but the team discovered that the downstream business process wasn’t configured to act consistently on its recommendations. The technolog…
After 23 years in machine learning and data science, Cao Hong has seen plenty of AI projects come and go. His measure of success is simple: did it create value for the business?
Recorded at EVOLVE26 Singapore, this episode of The AI Forecast brings Paul Muller together with Cao Hong, Principal Dir…
Every new AI chat is another first day on the job.
Rob Collie describes today’s general-purpose AI as a brilliant new hire who wakes up on their first day every time you start a new conversation. It may understand your industry, but your workflows and business context have to be explained all over…
Most AI pilots never make it past the demo phase.
AWS Machine Learning Lead Praveen Jayakumar has seen plenty of promising AI projects get stuck between a successful demo and production. Teams often define what success looks like without deciding what failure looks like, leaving underperforming pr…
Human biology is extraordinarily complex, and researchers often have only fragments of information to work with. Brian Martin compares it to looking at a skyscraper through a keyhole: you can see something clearly, but only a tiny piece of the whole.
Recorded at EVOLVE26 Singapore, this episode of…
Enterprise AI loves a shiny object. Sol Rashidi would rather talk about procurement.
After years of leading AI deployments, Sol has learned that some of the biggest wins come from the decidedly unglamorous parts of the business. Her favorite function to transform? Procurement.
Recorded at EVOLVE2…
Paul McDonagh-Smith estimates that many business leaders would struggle to define their organization’s problem clearly in fewer than 25 words. With AI, that lack of clarity can quickly turn into fragmented solutions and misplaced expectations.
In this episode of The AI Forecast, Paul Muller sits d…
Paul McDonagh-Smith estimates that many business leaders would struggle to define their organization’s problem clearly in fewer than 25 words. With AI, that lack of clarity can quickly turn into fragmented solutions and misplaced expectations.
In this episode of The AI Forecast, Paul Muller sits d…
New research points to a major shift in enterprise IT: more than two-thirds of surveyed data leaders are moving some workloads back into the data center.
The catalyst? AI.
In today’s episode, Paul Muller is joined by Cloudera CTO Sergio Gago and CPO Leo Brunnick to unpack Cloudera’s survey of mor…
سلب مسئولیت: پادکست و آثار هنری تعبیه شده در این صفحه متعلق به Cloudera است که متعلق به صاحب آن است و به Listen Notes، Inc وابسته یا تایید نشده است.
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اپیزودهای قبلی The AI Forecast: Data and AI in the Cloud Era را جستجو کن.
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