Data Analytics

Dr. Baishali Roy, special section coordinator for the March 2017 issue of The Leading Edge, joins Andrew Geary to discuss data analytics and machine learning in geophysics. Dr. Roy has worked at ConocoPhillips since 2000. She currently serves on the TLE Editorial Board.

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Visit http://seg.org/podcast for show notes.

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#14: Data analytics and machine learning - Baishali Roy

Jennifer Cooper talked with us about her role as a strategic analyst and how others can get involved with similar positions around analytics and hybrid roles.

In this episode you will learn:
• Jennifer’s start in data science [6:04]
• What is analytics support function? [16:01]
• Keys to success in analytics roles [21:09]
• How do you find these roles? [42:42]
• DataScienceGO Virtual #2 [50:45]
• Common questions Jennifer gets [1:00:52]

Additional materials: www.superdatascience.com/411

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 411: Succeeding in Analytics by Thinking Outside the Data

The COVID shock forces enterprises in every market to accelerate and reshape their data analytics strategies. This trend is likely to continue. “Data Elite” enterprises survived this year through a mix of agility, efficiency, and intelligence. They met these requirements of survival as they accelerated their digital transformations, adopted cloud data platforms and embraced advanced analytics. As these data leaders continue their momentum in 2021, the data laggards will strive to catch up. 

In this episode, Kevin Petrie, VP of Research at Eckerson Group, interviews Sumeet Agrawal, VP of Product Management at Informatica, to discuss the impact of COVID on enterprises. Sumeet talks about the trends of adoption during the onslaught of COVID and how enterprises are navigating in the post-pandemic era.

Sumeet Agrawal: Data Analytics Strategies in the Post-COVID Era

Miguel Armaza sits down with Sam Bobley, Co-Founder and CEO of Ocrolus, an infrastructure company that transforms documents into data analytics with incredible accuracy designed to help financial services companies make high quality decisions at unprecedented speed.

Sam started building Ocrolus in his parent’s kitchen when he was only 22 and seven years later, the company employs nearly 1,000 people globally and has raised close to $50 million in equity from top VC funds, including Stage 2 Capital, QED, Fintech Collective, Oak HC/FT, and Bullpen Capital.

We talked about:
- Company origins
- Sam’s entrepreneurial journey
- Strategies on building and hiring the initial team
- Finding product-market fit and how he decided to shift and expand his client base
- The fast-changing and fast-moving fintech ecosystem
- Entrepreneurial advice
- And a whole lot more

Sam Bobley

Sam started building Ocrolus in his parent’s kitchen when he was 22-years-old. Six years later, the company employs nearly 1,000 people globally, spread across four offices. As Ocrolus matured, Sam authored a patent application and helped raise more than $30 million in venture capital. He was named to Forbes 30 Under 30 in Finance, Class of 2020.

About Ocrolus

Ocrolus is a human-in-the-loop infrastructure company that transforms documents into data analytics with over 99% accuracy. Ocrolus technology is designed to help financial services companies make high quality decisions with trusted data and unprecedented speed. Inc. Magazine recognized Ocrolus as the #1 fastest-growing fintech nationwide, and the #1 fastest-growing software company in NY. Visit ocrolus.com to learn more.

Sam Bobley, Co-Founder and CEO of Ocrolus - Transforming Documents into Data Analytics

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

Sumeet Agrawal: Data Analytics Strategies in the Post-COVID Era

Secrets of Data & Analytics Leaders