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.

Subscribers can read the full articles in the SEG Digital Library at http://library.seg.org and for those currently not subscribed, abstracts are always free.

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

Sponsor
The SEG Wiki is home to hundreds of biographies of key geoscientists, geophysical tutorials, and core content from the science of applied geophysics. Visit http://wiki.seg.org to learn how you can grow the world’s first online, geophysics encyclopedia.

Seismic Soundoff

#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

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

SDS 411: Succeeding in Analytics by Thinking Outside the Data

Super Data Science: ML & AI Podcast with Jon Krohn