From historical times to today Priests, Accountants, Statisticians, Quants, and Data Scientists have been given access to the most critical and sensitive data from churches and businesses
By Ron Miller oh simplicity | your trees: how I yearn for thee | through data's forest By Michele Kersey Big, enormous, huge |Monstrous, unending, massive|Tiny bytes pile up By Donna Steinwand Tera and peta |Accumulate to exa|Many heads hurting By Dan Antion Data scientists | Pig out and break into hives | Hadoopalooza By IBMbigdata It was a mountain |When I was at the bottom|Now it is a view By Leslie Fisher Place your vote now
Speaker's Bio: Jim Provost is the Lead Data Scientist at Lixar IT
11-23-2021 | 13:00 - 14:00 ET
Date: Tuesday, May 4, 2021 Time: 1:00 PM to 2:00 PM ET Learning Objectives: --Learn that AI isn’t magic, but follows a simple and easily recognizable pattern to separate noise from information useful to support decision-making --Learn how to apply the concepts to their workloads and quickly recognize scenarios where AI can help, and where it would not --Learn how to understand what makes a “good” AI model vs a poorly performing one Speaker's Bio: Jim Provost is the Lead Data Scientist at Lixar Fueled by BDO
05-04-2021 | 13:00 - 14:00 ET
Bits and Pisces Lane Severson and I chatting about big data, analytics, data scientists (that kinds stuff) – if your data scientist type people don’t understand your business and context, they’re not worth it
These are just a few examples of people we consider information professionals – your current job may be Business Analysts, Information Architect, Data Scientist, Knowledge Manager, Digital Marketing Specialist, IT Legal professional, Records Manager, Digital Archivist, etc
Big Data has led to the emergence of a new role, that of the data scientists. For data science teams to thrive, we are providing them a collaborative environment that focuses on information sharing
Perhaps every hour during the workday the collected email message archive could be detached in the secure cloud facility and then attached to a separate, standalone archive that would only be accessed by top level NARA management personnel and those fulfilling Freedom of Information Act (FOIA) requests. Also data scientists with security clearances should have access to leverage analytics and business intelligence to find value in the growing archive or "data lake."
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