The Data Standard

The COVID-19 pandemic has impacted every industry around the globe, but perhaps few as much as the property & casualty insurance industry. From an incredible increase in claims payouts to fears that the economic slowdown will result in customer loss, the industry is struggling to overcome multiple challenges while continuing to meet the current and future needs of its customers.The insurance industry’s biggest and most valuable resource is the data that insurance companies have collected over the years on everything from weather risk to consumer behavior. Insurers had only just begun to incorporate artificial intelligence and machine learning (AI/ML) into processing this data before the pandemic erupted.Now, new pressures are making it even harder for larger insurers to keep pace, and even more difficult for midsize and smaller insurers to adopt AI/ML technologies because of long development timelines and traditionally high investment requirements. As such, many of these companies are looking for innovative new technologies to help optimize their AI/ML investments and/or launch AI/ML programs with limited resources.Connan Sniderhttps://www.linkedin.com/in/connan-snider-4249311b/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

In these difficult times, most interviews are being conducted remotely either over the phone or by video call.  So, in this podcast, we’re joined by Chris Morgan, Data Science Manager at The General®. Chris is here to share his expert advice for those who are worried about interviewing remotely, to help them overcome their fears and secure their next job.Chris Morganhttps://www.linkedin.com/in/morganchristopher/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

Are you on a quest to become a Data Scientist? Learn from people who have been through the same difficulties and challenges you are probably facing right now!Nowadays everything we need to know is at a distance of a click. The Internet is filled with information but there are times where a full-made Data Scientist, an apprentice, or even a wannabe gets tired of searching for new themes, reading so many blogs, and viewing a great number of Youtube videos. If you fit this description or are just looking for other learning sources, this podcast is for you.Isha Goyalhttps://www.linkedin.com/in/isha-goyal02/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

Organizations that once stored gigabytes of data now find themselves having to manage petabytes or even exabytes across their IT infrastructures. The borderless Internet, which allows applications to reach nearly anywhere, is one reason for the unprecedented data growth. Perhaps an even bigger driver is the increasing use of the public cloud for highly accessible and cost-effective compute and storage services.To harness the value of their massive data volumes, companies are building modern, cloud-based data infrastructures that help them create a universal version of “truth.” These foundations unify siloed pockets of data for a holistic view, empowering everyone in an organization to make better-informed decisions and act with confidence.Wendi O'Neillhttps://www.linkedin.com/in/wendioneill/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

P B K Chaitanya, Director, Analytics, Global Analytics, and Research Center (GARC) at MetLife, joins The Data Standard to talk about research centers for data science.Chaitanya Co-build MetLife’s first large scale data and analytics capability center a.k.a Global Analytics and Research Center (GARC) - to support enterprise scale. Chaitanya oversees the research center where experts use cutting-edge analytics, informatics, and computing methodologies to conduct research and develop innovative solutions to address high-impact problems across disciplines.P B K Chaitanyahttps://www.linkedin.com/in/pbk-chaitanya/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

Healthcare organizations have access to more data than ever, presenting an opportunity and a responsibility to deliver personalized care. Learn how data and analytics can unlock insights to evolve individual care plans. You will also hear about the impact of artificial intelligence, interoperability mandates, and keys to enabling operational resiliency. Kelvin Wurstenhttps://www.linkedin.com/in/kelvin-wursten-924b834/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

Premier Inc.’s Senior Product Director, Rush Shah joins us for an extremely enlightening and forward-thinking discussion around how big data and analytics currently influence the development of medical technologies. Then shares how the utilization of these tools will influence moving towards a more connected healthcare system to better patient’s lives and the steps she imagines we need to take to build the infrastructure to support it.Rush Shahhttps://www.linkedin.com/in/rushshah/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

There’s so much information out there on how magical insights from data can take your communications (comms) to the next level. And if you’re feeling confused, bewildered, or lost by it all, don’t worry — you are not alone. This podcast simply explains what data won’t help you do clever comms, what data will help, and how you can do clever comms that are data-driven.Spencer K’Burghttps://www.linkedin.com/in/spencerkburg/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

Investment managers are using big data and artificial intelligence to enhance the diversification and risk/return potential of portfolios. Investment Management firms have a wealth of information and data at their fingertips. Applying big data principles to slice and parse data by region, asset type, etc., means analyzing large data sets, both structured and unstructured, to increase ROI and make proper predictions for future investments. The easy part is knowing that you already have a lot of data; the harder part is knowing how to use that data in meaningful ways. Kanwar Gaurav Paulhttps://www.linkedin.com/in/kanwargaurav/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

We are living in a world in continuous evolution, all companies need to drive their activity to new forms of technology, this is why Digital Transformation becomes a means of survival. In this revolution, cloud computing has a key role, it becomes the catalyst for this transformation. Nowadays every company measures its performance through customer experience, a cloud-enabled and cloud-delivered business model supports organizations to adopt newer channels to offer high-level customer experience by differentiating its strategy and solutions over the current market competitors. The recent necessity of remote work makes the shift to the cloud more urgent than ever for enterprises. No matter where a business was in their cloud transformation before this new era began, employees need to securely access work software and data from home, now. Chris Norrishttps://www.linkedin.com/in/chrisnorris3/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/