Building the Better, More Scalable Algor...

<p>The promise of agentic AI has been massive, autonomous systems that act, reason, and make business decisions, but most enterprises are still struggling to see results.</p><p>In this episode, host Chris Brandt sits down with Sumeet Arora, Chief Product Officer at Teradata, to u ... Show More

<p>If you’ve ever shipped an AI feature that looked great in testing — only to watch it behave unpredictably in production — you’re not alone.</p><p>In this episode of IT Visionaries, host Chris Brandt talks with Lawrence Jones, Founding Engineer at incident.io, about the critica ... Show More

<p>Every product a company ships depends on thousands of tiny decisions happening deep inside the supply chain. But most organizations are still making those decisions using stale spreadsheets, fragmented systems, and guesswork.</p><p>In this episode, we explore how AI-driven pro ... Show More

At its simplest, an algorithm is a sequence of step-by-step instructions designed to give a result. They are the building blocks of every computer program and are there to ensure every digital device gives the right results on request. For example, when we type a search query int ... Show More

<p>Is it possible to reconstruct a 3D model from a simple image?</p> <p>Under certain constraints, it is! In this episode I tell you how.</p> <p> </p> Our Sponsors <p>Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requ ... Show More

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Data quality control is a requirement for being able to trust the various reports and machine learning models that are relying on the information that you curate. Rules based systems are useful for validating known requi ... Show More

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Designing the structure for your data warehouse is a complex and challenging process. As businesses deal with a growing number of sources and types of information that they need to integrate, they need a data modeling st ... Show More

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Building, scaling, and maintaining the operational components of a machine learning workflow are all hard problems. Add the work of creating the model itself, and it&#8217;s not surprising that a majority of companies th ... Show More

Jump in on a second episode of the Better Science series with guest host and Technical Evangelist Justin Emerson interviewing FlashArray engineer Feng Wang about how Pure maps data at scale with a single, scalable data structure. Managing storage in modern times requires a strate ... Show More

<p>This is one episode where passion for math, statistics and computers are merged. I have a very interesting conversation with Ravin,  data scientist at Google where he uses data to inform decisions.</p> <p>He has previously worked at Sweetgreen, designing systems that would b ... Show More

<h2>Summary</h2> <p>Data processing technologies have dramatically improved in their sophistication and raw throughput. Unfortunately, the volumes of data that are being generated continue to double, requiring further advancements in the platform capabilities to keep up. As th ... Show More

The data science and artificial intelligence community has made amazing strides in the past few years to algorithmically automate portions of the healthcare process. This episode looks at two computer vision algorithms, one that diagnoses diabetic retinopathy and another that cla ... Show More

<p><a href="https://www.swissre.com/">Swiss RE</a>’s SVP of P&C R&D, <a href="https://www.linkedin.com/in/jerry-gupta-a46406/">Jerry Gupta</a> is a firm believer in the revenue-generating potential and AI and machine learning. On this episode of The Data Chief, Jerry offers his v ... Show More