The Data Standard

What actually *is* data science, and what does a data scientist do? What kind of backgrounds do data scientists come from and what skills do you need to be one? In this episode, we start with the basics—declaring once and for all what is data science anyway and exploring how the hype of the field matches reality. We explore the three main areas of data science – analytics, decision science, and machine learning – and help you figure out which is best for YOU.Rebecca LinkedIn: https://www.linkedin.com/in/rebecca-burwei/The Data Standard LinkedIn: https://www.linkedin.com/company/the-data-standard/

On this episode, we welcome Kelly Barrett, SVP Data Partnerships at Truthset. Tune into this episode to learn about Kelly’s journey of going from a non-techie to full stack dev.Kelly LinkedIn: https://www.linkedin.com/in/barrettkelly/The Data Standard LinkedIn: https://www.linkedin.com/company/the-data-standard/

With the proliferation of data sources to give a more comprehensive view of the information critical to your business, it is even more important to have a canonical view of the entities that you care about. Is customer number 342 in your ERP the same as Bob Smith on Twitter? Using master data management to build a data catalog helps you answer these questions reliably and simplify the process of building your business intelligence reports. In this episode Manager of Data Analytics at Dexcom at Tamr, Chuck Miller discusses the challenges of building a master data set, why you should have one, and some of the techniques that modern platforms and systems provide for maintaining it.Chuck LinkedIn: https://www.linkedin.com/in/chuckmillerlinkedin/The Data Standard LinkedIn: https://www.linkedin.com/company/the-data-standard/

In this episode, Rob speaks about mentoring community teams. Mentoring has evolved to fit the needs of current corporate trends through the years. It goes further now than informal relationships between professions formed through networking. Mentoring is often positioned as a learning and development strategy used to further employee development and increase employee retention. Team mentoring is a flexible derivative of traditional mentoring, with added benefits. It can be defined as multiple mentees and one or more mentors working towards employee development together. These participants are also able to act as the mentee to a mentor, but a mentor to a different mentee simultaneously.Rob LinkedIn: https://www.linkedin.com/in/rob-quish-3433691/The Data Standard LinkedIn: https://www.linkedin.com/company/the-data-standard/

In this episode, Sasha speaks about his blog and auctioning. Sasha Javid is the Chief Operating Officer at BitPath, the ATSC 3.0 spectrum consortium founded by Sinclair Broadcast Group and Nexstar Media Group. Prior to joining BitPath, Sasha was a communications attorney at Hogan Lovells, and also the Chief Data Officer and Legal Advisor on the FCC’s Incentive Auction Task Force.Sasha LinkedIn: https://www.linkedin.com/in/sasha-javid-8a31803/The Data Standard LinkedIn: https://www.linkedin.com/company/the-data-standard/

When people think about artificial intelligence, they often think about what intelligence machines can do on their own, without human interaction. However, some of the most powerful and useful AI systems are those that help or augment human capability. The idea of AI systems that augment human ability is known as augmented intelligence. Daniel Byler shared his perspectives on the power of AI as applied to augmented intelligence.Daniel LinkedIn: https://www.linkedin.com/in/danielbyler/The Data Standard LinkedIn: https://www.linkedin.com/company/the-data-standard/

Austin is a data scientist who loves creating machine learning applications in business. He has a history of success in delivering on large initiatives in different areas of IT using modern ML tools and methods (Python, Spark & deep learning architectures). He was the first hire by the CTO at Kaiser Permanente to work on enterprise big data and AI projects as well as in his current role at Stanford Children’s Hospital.Austin LinkedIn: https://www.linkedin.com/in/aus10powell/The Data Standard LinkedIn: https://www.linkedin.com/company/the-data-standard/

In recent years, organizations have opted to collect vast amounts of data assuming that, if they harvest enough of it, it will eventually give rise to relevant business insights. As the landscape evolves, however, it’s becoming evident that more data isn’t necessarily better. After all, the more data an organization has to wade through, the more difficult it is to separate the valuable business information from the irrelevant. A data insights strategy is built on the premise that to realize the true potential of data, you first need to determine why you’re using it and what business value you hope to glean from it. Neeraj joins the podcast to discuss better data strategy & insights.Neeraj  LinkedIn: https://www.linkedin.com/in/neerajsane/The Data Standard LinkedIn: https://www.linkedin.com/company/the-data-standard/

Sandeep leads a globally distributed team responsible for data science, product engineering, and product support for our AI-based product. Sandeep discusses what machine learning, and more generally artificial intelligence, can be of use for big data application performance management, what are the requirements and challenges of using ML and AI effectively to tackle this problem, and what are the benefits that we can really expect.Sandeep LinkedIn: https://www.linkedin.com/in/sandeepuc/The Data Standard LinkedIn: https://www.linkedin.com/company/the-data-standard/

In this interview with Adam Morehouse, Director – Senior Economist, Global Data and Analytics at Dun & Bradstreet, we talk about the increasing importance of data as a vital business asset for the company and explore their journey and top tips to become a more data-driven business.Adam LinkedIn: https://www.linkedin.com/in/adam-morehouse-mba-96719511/The Data Standard LinkedIn: https://www.linkedin.com/company/the-data-standard/