The Data Standard

The Data Standard

By The Data StandardBusinessNewsTechnologyTech News
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The Data Standard episodes

  • Bringing data to the consumer? with Amit Mudgal at Marsh McLennan
    Companies can put their information to work by teasing out novel patterns, driving productivity, and creating new solutions. In an increasingly customer-centric world, the ability to capture and use customer insights to shape products, solutions, and the buying experience as a whole is critically important. Research tells us that organizations that leverage customer behavioral insights outperform peers by 85 percent in sales growth and more than 25 percent in gross margin. Customer data must be seen as strategic.Amit Mudgalhttps://www.linkedin.com/in/amitkmudgal/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/
    16 min
  • Upscaling data problems? with Jeremy Ernst at Ally
    In this episode, guest Jeremy Ernst sits down with The Data Standard to discuss how to upscale your data science problems. Jeremy Ernsthttps://www.linkedin.com/in/ernstjeremy/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/
    20 min
  • Crypto industry? with Bob Lehto at OKCoin
    Today, we speak with OKCoin’s Bob Lehto, the International Head of People at the company.OKCoin is on a mission to make crypto investing and trading more accessible to anyone around the world. Founded in 2013, OKCoin is a global exchange numbering 250 employees with its headquarters offices in San Francisco, and local offices in Malta, Hong Kong, Singapore, and Japan. The company is a collective of global citizens with a common passion to help decentralize finance and level the economic playing field for everyone around the world.Bob Lehtohttps://www.linkedin.com/in/boblehto/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/
    20 min
  • Data governance? with Anna Swigart at Zillow
    The first step of data-driven business transformation journey is looking at changing the way organisations think about innovation and growth, and the key to success is data that that is accurate, relevant, and timely. Data quality and data governance are critical to achieve the data-driven business transformation that companies are looking for. Technological advances and new ways of working are changing the way we look at data governance and quality in the context of rapid business change. Whether you are a Chief Data Officer looking to understand what new technologies and methodologies are available or a businessperson trying to understand the challenges around data quality, listen to this educational podcast to discover how data quality and data governance can support your business transformation initiatives.Anna Swigarthttps://www.linkedin.com/in/annaswigart/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/
    16 min
  • AI autonomous vehicles? with Girish Venkataramani at Cruise
    Self-driving cars: the greatest automotive industry disruption since Henry Ford’s Model-T assembly line… just around the corner. Right? That’s the hype—but is it a reality? Are we mere blocks away from our neighborhood streets and freeways being filled with autonomous cars? Find out in the premiere episode of The Data Standard in which Girish discusses AI autonomous vehicles.Girish Venkataramanihttps://www.linkedin.com/in/girish-venkataramani-8438942/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/
    20 min
  • Data scientist as internal contractors? with Kim Kraunz at EMPLOYERS
    Working as a data science consultant has a lot of advantages for your career. You get to work on projects with the most successful companies in the world. You learn from the best experts around, and you have the benefits of working with large consulting firms that offer you countless opportunities to grow your career and skills. You also have to be mindful that all of these benefits come at the price of an intensive workload in a high-pressure environment. If you are ready for all of this, entering the data science consulting industry can be one of the most significant steps towards success in your career.Kim Kraunzhttps://www.linkedin.com/in/kimkraunz/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/
    13 min
  • Data in the bio industry? with Kurt Thorn at Zymergen
    The world of biotechnology is increasingly driven by data. As the number of biotech companies continues to grow, so does this industry’s need for data scientists, data analysts, and other technologists. With demand for data—and the associated concerns of where to store it, how to process it, and how data pipelines will be structured—on the rise, there will be plenty of opportunities in biotech for those specializing in app development, software engineering, cloud architecture, and other fields.Kurt Thornhttps://www.linkedin.com/in/kurt-thorn-3704201/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/
    21 min
  • Transition to software engineering to leadership? with Jeff Ptak at Sunbelt Rentals
    Are you a Software Engineer looking to make your next career move? Are you considering making that leap into a Leadership position? Or, are you already an experienced leader wanting to transition from a Corporate to a Startup, but unsure if it’s right for you??Who better to ask than someone who has made these exact career moves with great success? Well, that’s what we did when we were lucky enough to sit down with Jeff Ptak, Director of Data Engineering, at Sunbelt Rentals. With over a decade of hands-on experience, prior to his move into leadership, Jeff brings a real-level of empathy to his team, and thought-leadership to Sunbelt Rentals. We found out exactly what Jeff thinks it takes to be a leader & VP - from the skills, to the mindset - as well as discussing how a change in industry can be a beneficial career move. We also touch on the alternative career paths that engineers can take if they think leadership might not be for them!Jeff Ptakhttps://www.linkedin.com/in/jeffptak/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/
    16 min
  • Legal data science? with Juan Manuel Contreras at Uber
    Meet Juan Manuel Contreras, Ph.D., a cognitive neuroscientist turned data science manager at Uber. Juan Manuel works at the intersection of data science, law, and economics to help drive Uber’s legal and business strategies. In 2015, he was one of HuffPost’s “40 Under 40: Latinos in American Politics” and he previously worked in the White House Social and Behavioral Sciences Team during the Obama Administration.Juan Manuel Contrerashttps://www.linkedin.com/in/jmcontreras/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/
    12 min
  • Ways data science is used in healthcare? with Neeta Upadhyay at CareSource
    In this Data Standard Audio Experience episode, we focus on how data science can help advance the healthcare industry. Billions of people can benefit when a more focused integration happens. Start tuning in to know more!Data Science, Artificial Intelligence, and Machine Learning can surely provide the needed solutions for the healthcare industry. These emerging technologies have already proven their value and have defined industries like communications, banking, retail, etc.So, today, we discuss how data science can change the healthcare industry for the better. It doesn’t matter if you’re in a different sector since there will be a thing or two that you can take from this episode and apply to your career. This also broadens your horizons and serves as a good starter if you want to jump into the data science and healthcare industries.Neeta Upadhyayhttps://www.linkedin.com/in/neetasupadhyay/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/
    10 min

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Listen to some of the top data professionals in the world speak on the latest innovations in the data field. Learn how machine learning and artificial intelligence are impacting the tech industries.