The Data Standard

In this episode of the Data Standard, we invite Luiz on to the show to discuss what makes up "security data science". Luiz delves into the tools of the trade, posit on the future of the intersection of security and data science and relates his own personal & professional experiences trying to introduce "data science" into infosec.Luiz Fernando Santoshttps://www.linkedin.com/in/luizffs/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

In this episode, guest Mekki El Boushi sits down with The Data Standard to discuss how his perspective has shifted on the power of AI as well as the hurdles that he has experienced and anticipates seeing with AI.Mekki El Boushihttps://www.linkedin.com/in/mekki/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

In this episode, guest Ben Ogorek sits down with The Data Standard to discuss various ways to avoid mistakes and errors in predictive modeling.Ben Ogorekhttps://www.linkedin.com/in/benogorek/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

From artificial intelligence to small data and graph technology, data and analytics leaders should think about leveraging data industry trends. When COVID-19 hit, organizations using traditional analytics techniques that rely heavily on large amounts of historical data realized one important thing: Many of these models are no longer relevant. Essentially, the pandemic changed everything, rendering a lot of data useless. In turn, forward-looking data and analytics teams are pivoting from traditional AI techniques relying on “big” data to a class of analytics that requires less, or “small” and more varied.Each of the trends fit under one of these three main themes:Accelerating change in data and analytics: Leveraging innovations in AI, improved composability, and more agile and efficient integration of more diverse data sources.Operationalizing business value through more effective XOps: Enables better decision making and turning data and analytics into an integral part of businessDistributed everything: Requires the flexible relating of data and insights to empower an even wider audience of people and objects.Paul Dorasilhttps://www.linkedin.com/in/paulrdorasil/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

In this episode of the Data Standard, Anurag shares best practices for navigating uncertainty in the wake of COVID-19. Conversations focus on how teams should strategize, types of projects to pursue, and tips for working from home.Anurag Voletihttps://www.linkedin.com/in/anuragvoleti/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

In this episode, guest Adriano Ruz sits down with The Data Standard to discuss how COVID-19 has affected work life, tips for getting through these stressful times, and different ways to run remote meetings.Adriano Ruzhttps://www.linkedin.com/in/adriano-ruz-0a231316/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

What is AI? Why care about AI ethics? What are problems arising from AI being introduced into our contemporary society? Benjamin Perryman joins The Data Standard to explore current ethical challenges arising with the increasing adoption of AI in everyday life.Benjamin Perrymanhttps://www.linkedin.com/in/benjamin-a-perryman-phd/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

Justin Conley joins The Data Standard for a deep dive into causal inference and how it can help businesses understand causes and impacts for better decision making. Referring to current events as examples, Justin explores how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks. Stay tuned to learn more about causal inference and the insights you can unlock with it.Justin Conleyhttps://www.linkedin.com/in/justinco/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

You must have read many times that ‘Data is the New Oil’. In today’s fast-paced digitally driven world, data is truly ‘fueling’ the growth of businesses and economies worldwide through intelligent analytics. However, what most of us forget is the fact that just like oil, data has to be refined to give accurate, measurable, trustworthy & reliable outcomes. Apart from losing faith in customers, dealing with an enterprise-wide poor data quality & security can also be very cost-intensive. Moreover, while handling data, non-compliance to stringent data privacy & security laws like GDPR – EU, CCPA – California, US and The Personal Data Protection Bill – India (proposed) may also attract heavy penalties and fines. Hence, the quality, privacy, and security of data are three factors that are of prime importance, thankfully, they can be achieved and maintained through various data governance programs. So, if you are keen on improving data quality & data privacy for your enterprise or learning more about it, do not miss this Data Standard Audio Experience with Bobbi Caggianelli.Bobbi Cagianellihttps://www.linkedin.com/in/bobbi-caggianelli-07058428/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

In this episode, guest Alon Rozental sits down with The Data Standard to discuss real-life constraints with TV media.Alon RozentalDirector of Data Science at Amobeehttps://www.linkedin.com/in/alon-rozental-893a9950/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/