Sumo Logic

One of the most interesting areas of innovation in machine learning and artificial intelligence is Natural Language Processing or NLP. It is basically about teaching machines to both understand human language, and then reproduce convincingly human language in return Our guest on this episode and her company build what they call “machines that can read and write”. Amy Heineike is the VP of Engineering at Primar AI. I talked to her about how she, and her team, are using applied machine learning techniques to build software that tells stories from data. In particular, we talked about “Quicksilver” - a project to fill some gaps in Wikipedia by producing new content for people without pages.

Machines that tell stories with Data (Guest: Amy Heineike)

Masters of Data is back! We have a new host and a new mission. On today's episode Sumo Logic's Chief Communication Officer, Aaron Feign, speaks with Dana Torgersen about goals for the podcast. Highlights of the conversation include: <ul><li>Talking about bringing back Masters of Data</li><li>Challenges the podcast wants to address</li><li>Transformation and accelerating the adoption of technologies to battle disruptions like COVID</li><li>Alert fatigue and new technologies solving problems in security</li><li>Thinking horizontally across different lines of an organization's business</li></ul>

Welcome Aaron Feigin to introduce the new Masters of Data podcast! Aaron brings the passion and over 20 years of experience leading high-impact teams and helping technology heavyweights and disruptors elevate their position, build their brand and grow their business. 

Aaron Feigin

Chief Brand Marketing and Communications Officer

Masters of Data is back! We have a new host and a new mission. On today's episode Sumo Logic's Chief Communication Officer, Aaron Feign, speaks with Dana Torgersen about goals for the podcast.


The Masters of Data Podcast is back!

The Masters of Data Podcast returns from hiatus after the COVID pandemic

Everything in modern tech — including observability — is actually a culture change. Observability is a different way of working, thinking, and composing a team. It is essentially a love letter to the future, helping the people who will support the application later. Instead of an operator sitting back and looking at a dashboard, observability tackles what can be done during the process of developing an application so that production can feel more comfortable. In James Governor’s word, “observability is about troubleshooting.”

James Governor is the co-founder of RedMonk, a developer-focused industry analyst company. After working as a tech journalist, James saw room for a new research firm with a different focus and thus RedMonk was born. Listen to this week’s episode to hear James and Ben discuss the generational shift in technology building, and learn more about how observability can help developers.

This week’s episode is the last installment of the special three-part series on observability in data. Thank you for joining us!

James Governor - The Culture Change Observability Caused in Modern Tech (Observability Series - Part 3) 

There are three types of people in the data world: mathematicians, scientists, and engineers. Mathematicians are interested in understanding things that are true or false. Scientists are interested in furthering knowledge and enjoy answering challenging questions. Engineers are interested in building things that are useful, so they can solve a problem that’s important. Engineers in the software industry are currently searching for ways to resolve the issues associated with microservices. Right now, the software industry is facing a massive architectural transformation, and engineers have the opportunity to create systems that solve important problems. 

That’s why Ben Sigelman — CEO and co-founder, started Lightstep, to create something useful and impactful. He saw an opportunity to accelerate the industry’s transformation while improving the developer and end-user experience, and he took it. Using observability, he built something that could help people gain more confidence and understanding of their own system.

As an ex-Googler and co-creator of Dapper, Ben Sigelman witnessed the birth of microservices at Google. He learned a great deal from his experiences, and Lightstep is in many ways a reaction to and a generational improvement beyond those approaches. Sigelman’s fascination lies in deep systems and how they break, but he is also passionate about separating the telemetry from the rest of observability. There is a lot of noise in the marketplace and confusion about how to approach observability, but Sigelman is confident that in the next 5-10 years, applications could change the way the software actually works, not just the way we understand it. Listen to Ben Sigelman and Ben Newton discuss the future of observability, and learn more about how this transformation could impact the industry.

This week’s episode is the second installment of a special three-part series on observability in data. Tune in each week to hear about how the world of observability in transforming into a major player in the data realm.

Ben Sigelman - The Future Of Observability & Why It's Not Just Telemetry (Observability Series - Part 2)

Observability doesn’t have three pillars, and it is not a monitoring tool. While the concept of observability is often misunderstood, what it can do for ops is revolutionary and transformative. Observability is achieved when a system is understandable — which is difficult with many things failing at once in a complex system. Many large technology companies use systems to debug code and understand how it runs in production, but those tools are not available to engineers outside of those companies. That’s why Charity Majors — CTO and co-founder, started Honeycomb, to tackle the issues with logging, monitoring, and metrics. Despite the confusion surrounding observability, it can help us ask the right questions of our systems in a way that is predictable, fast, and scalable over time. Utilizing observability to fully understand complicated production systems makes the systems more resilient to errors. Listen to Charity and Ben discuss the innovations and revelations of observability, and learn more about this transformational tool in data. Say goodbye to spending all your time on debugging, and get ahead of those issues now.

This week’s episode is the first of a special three-part series on observability in data. Tune in each week to hear about how the world of observability in transforming from a major player in the data realm.

Charity Majors - Revelations in Observability (Observability Series - Part 1)

Data doesn’t live forever. The data will finish its life cycle at some point, but when that day comes what happens next? For years, large corporations have used different methods to physically destroy drives. However, modern problems require modern solutions. Nathan Jones, VP of Sales at White Canyon Software, gives us these solutions. We can turn to software destruction to help save us money and, most importantly, the environment. Utilizing software-based data destruction methods give physical drives another chance at being reused. Say goodbye to sticking nails in that drive.

Today's Methods of Data Security and Erasure (Guest: Nathan Jones)

The applications of artificial intelligence is seemingly never-ending. But, how do we find where AI can fit within our industries? In this episode, Dan Faggella, CEO and Head Researcher at Emerj, sits down with us to talk about where AI is currently and headed in the future. In fact, when we talk about AI it's important to recognize the significance that culture plays in furthering application, just as much as the science and algorithms. 

The Advancements and Applications of AI (Guest: Dan Faggella)

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We are talking to the people that build, run and secure the digital future. Who are the people bringing the new and the next? You heard it heard here first. Welcome to the new Masters of Data podcast.

Masters of Data is back! We have a new host and a new mission. On today's episode Sumo Logic's Chief Communication Officer, Aaron Feign, speaks with Dana Torgersen about goals for the podcast.

Machines that tell stories with Data (Guest: Amy Heineike)

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