When it comes time to move to the cloud, the concerns can be many. Companies are increasingly security conscious, and success depends on applications being reliable. There’s also the need for agility, to adjust to changes in the market. F5’s Matt Quill tells Burr how planning carefully and collaboratively can address challenges while building pivotal internal relationships.

It can be difficult to know the full outcome of your choices. Not having clear priorities makes it impossible to know which choice is the right one, because those should inform your direction.

Adam Timm of Crunchy Data explains how multiple factors influence outcomes—and how keeping your priorities at the forefront of your decision-making process makes it easier to pick the right choice for your organization.

The guest featured in this episode works for Crunchy Data, a Red Hat partner.

Automation is a game-changer. It promises to decrease time to deploy, reduce errors, and increase reliability and efficiency. But you can’t automate change.

What does it take for teams to actually reach that finish line? And how does it affect how they actually work? Season 2 of Code Comments goes beyond the sales pitch and features teams who’ve tackled automation. Because there’s no script for adjusting to automation.

Success in telecommunications relies on bridging the tangible with the intangible. It isn’t just the availability of software, or the speed of a network; It's the blend of network services and physical infrastructure necessary to deliver an end-to-end experience between datacenters and customers. Sandeep Sharma, Vice President of Tech Mahindra, gives us a history of networks, how they’ve changed, and how companies are meeting increasingly complex market demands.

Making automation work takes more than just writing the scripts. And it’s most effective when it becomes a habit rather than a one-off project. But building habits and changing culture is no easy task.

Eduardo Krumholz and David Linthicum of Deloitte help their clients internalize automation as part of their workflows. They share their strategies to help their customers make that transition successful—and overcome reluctance to change.

A journey of 1,000 upgrades starts with a single commit. It’s not always clear how much change digital transformation entails. But it’s likely more than expected.

Season 3 of Code Comments travels the well-trodden paths of IT modernization, cloud migration, and the unmentioned necessities to make it all work.

The idea behind extended reality, or XR, is immersion. That can be a hard standard to meet when dealing with a visual interface. As an intern at NVIDIA, Hayden Wolff stepped up to tackle a thorny challenge, and with some assistance from natural language processing (NLP), the company’s Project Mellon is changing the way we look at the design process.

There are a lot of publicly available data sets out there. But when it comes to specific enterprise use cases, you’re not necessarily going to be able to find one to train your models. To realize the power of AI/ML in enterprise environments, end users need an inference engine to run on their hardware. Ryan Loney takes us through OpenVINO and Anomalib, open toolkits from Intel that do precisely that. He looks specifically at anomaly detection in use cases as varied as medical imaging and manufacturing.

Want to read more about Anomalib? Check out the research paper that introduces the deep learning library: https://arxiv.org/abs/2202.08341