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: Talking about bringing back Masters of DataChallenges the podcast wants to addressTransformation and accelerating the adoption of technologies to battle disruptions like COVIDAlert fatigue and new technologies solving problems in securityThinking horizontally...

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: Talking about bringing back Masters of DataChallenges the podcast wants to addressTransformation and accelerating the adoption of technologies to battle disruptions like COVIDAlert fatigue and new technologies solving problems in securityThinking horizontally...

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,...

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,...

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....

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....

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...

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...

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...

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...

The applications of artificial intellegence is seemingly neverending. But, how do we find where AI can fit within our industries? In this epsiode, 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 applicaiton, just as much as the science and algorithms.

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.

Businesses and companies collect and rely on a lot of data. Until now, that data hasn't been the easiest to access or understand. Julie Lemieux, VP of Product Design and Research, talks to us about creating tools and processes to make data insights more accessible and inclusive. By eliminating the conflict between data teams and business users, everyone in the company, regardless of their background in data collection or reading, can confidently take the data and explore more of the insights...

Businesses and companies collect and rely on a lot of data. Until now, that data hasn't been the easiest to access or understand. Julie Lemieux, VP of Product Design and Research, talks to us about creating tools and processes to make data insights more accessible and inclusive. By eliminating the conflict between data teams and business users, everyone in the company, regardless of their background in data collection or reading, can confidently take the data and explore more of the insights...

The human resources, or human capital, industry has been going through massive change in how it thinks about data. Paul Rubenstein, Chief People Officer at Visier, talks us through the history and how data and analytics have been revolutionizing how HR departments work and the value they bring. In particular, Paul walks through how Covid-19 is upending how companies think about their people, but also how the data is better than ever.

The human resources, or human capital, industry has been going through massive change in how it thinks about data. Paul Rubenstein, Chief People Officer at Visier, talks us through the history and how data and analytics have been revolutionizing how HR departments work and the value they bring. In particular, Paul walks through how Covid-19 is upending how companies think about their people, but also how the data is better than ever.

Over his decades of experience, Mike Kavis from Deloitte, has seen a lot of successful, and successful cloud implementations. One clear lesson - technology is easy, but people are hard. Mike discusses how innovation has to be more than just implementing technology and tools. Successful enterprises have to break down the old silos and rethink their culture, rather than merely adopting technology layered over legacy processes and approaches to collaboration.

Over his decades of experience, Mike Kavis from Deloitte, has seen a lot of successful, and successful cloud implementations. One clear lesson - technology is easy, but people are hard. Mike discusses how innovation has to be more than just implementing technology and tools. Successful enterprises have to break down the old silos and rethink their culture, rather than merely adopting technology layered over legacy processes and approaches to collaboration.

The rate of data growth and complexity is only accelerating. How do you decide what data is important? What data do you store for later? Simon Crosby, CTO at Swim.ai, discusses how real-time streaming analytics provides a better way to think about massive volumes of data from sources like traffic infrastructure and manufacturing. He discusses how you can use this data to build a model of your world - digital twins - and use that model to make better decisions.

The rate of data growth and complexity is only accelerating. How do you decide what data is important? What data do you store for later? Simon Crosby, CTO at Swim.ai, discusses how real-time streaming analytics provides a better way to think about massive volumes of data from sources like traffic infrastructure and manufacturing. He discusses how you can use this data to build a model of your world - digital twins - and use that model to make better decisions.

Graph theory is all about relationships, and relationships are key to understand so many critical areas - like understanding the spread of a pandemic. Denise Gosnell and Matthias Broecheler from DataStax talk about what graph data is, why it matters, and fascinating use cases - including how it applies to Artificial Intelligence.

Graph theory is all about relationships, and relationships are key to understand so many critical areas - like understanding the spread of a pandemic. Denise Gosnell and Matthias Broecheler from DataStax talk about what graph data is, why it matters, and fascinating use cases - including how it applies to Artificial Intelligence.

Bill Mew returns to Masters of Data to talk about evaluating cyber risk in a time of crisis like today. Bill dispels three myths that keep companies form taking decisive action and protect their data, employees, and customers. He also explains how cyber insurance actually works and why so many companies are much less covered than they think they are.

Bill Mew returns to Masters of Data to talk about evaluating cyber risk in a time of crisis like today. Bill dispels three myths that keep companies form taking decisive action and protect their data, employees, and customers. He also explains how cyber insurance actually works and why so many companies are much less covered than they think they are.