logo
episode-header-image
Oct 2022
48m 28s

#108 The Hallmarks of Successful Data Tr...

DATACAMP
About this episode

To improve Data Literacy, organizations need high-quality data training programs that give their employees the most valuable and relevant data skills they need. Many companies fall into the trap of implementing training programs that are poorly designed or not relevant for the needs of their learners.

Sharon Castillo is the VP of Global Education at DataRobot, where she developed the DataRobot University, a self-service education portal that features both free and paid courses on AI and machine learning that are available to the public. With over 30 years of experience, Sharon is a leading expert in data training and employee upskilling programs, from development through execution.


Sharon joins the show to talk about what makes an effective data training program, how to ensure employees retain the information, how to properly incentivize training participation, why organizations should prioritize training, and much more. This is essential listening for anyone developing a training program for their team or organization.

Up next
Today
#352 AI Agents at Work: What Actually Breaks (and How to Fix It) with Danielle Crop, EVP Digital Strategy & Alliances at WNS
AI agents are spreading across the data and AI industry, promising to automate everything from research to outreach. At the same time, teams are learning that these tools can hallucinate, leak data, or act in surprising ways. In day-to-day work, the challenge is deciding which ta ... Show More
56m 8s
Mar 16
#351 Will World Models Bring us AGI? with Eric Xing, President & Professor at MBZUAI
World models are emerging as the next step after large language models, pushing AI from book knowledge toward systems that can simulate the physical and social world. Instead of just generating text or short videos, the goal is steerable simulation with long-horizon consistency a ... Show More
1h 3m
Mar 9
#350 How to Make Hard Choices in AI with Atay Kozlovski, Researcher at the University of Zurich
Across the AI industry, high-stakes tools are being deployed in places where errors can harm people: sepsis alerts in hospitals, identity checks, welfare fraud detection, immigration enforcement, and recommendation systems that shape life outcomes. The pattern is familiar: scale ... Show More
1h 10m
Recommended Episodes
Jan 2020
Tips for Training Paraprofessionals in the Classroom
This episode of the podcast (episode 23) will focus on training staff effectively and tips for getting it done in the classroom.  As we all know the days of paraprofessional making copies and filling in for office work are done…and we cannot do the jobs we do in our special educa ... Show More
23m 30s
Sep 2022
The Three Roles of the Chief Data Officer: ADP’s Jack Berkowitz
As chief data officer of payroll and benefits management company ADP, Jack Berkowitz has three primary responsibilities. One is to oversee the organization’s data overall, ensuring that functions like data governance, security, and analytics, are running well. Another is to build ... Show More
24m 43s
May 2024
Data for Development with Nagla Rizk
What does the era of ‘big data’ mean for development technologies in MENA? How can data be used for good, to ensure projects working with vulnerable communities such as informal workers and women are seen and supported? What kind of repercussions does poor data collection have on ... Show More
26m 54s
Jan 2022
Academics and Data Science Innovation with Dr. David Bader, Distinguished Professor and Director, Institute for Data Science, New Jersey Institute of Technology
<p>The data science field is expanding because so many businesses and other institutions require skilled workers who can manage data as well as provide insights. Companies and students are clamoring for more academic programs. There is great need, but academic institutions are st ... Show More
39m 32s
Nov 2022
[RB] Is studying AI in academia a waste of time? (Ep. 208)
<p>Companies and other business entities are actively involved in defining data products and applied research every year. Academia has always played a role in creating new methods and solutions/algorithms in the fields of machine learning and artificial intelligence. However, th ... Show More
20m 1s
Jun 2024
2009: Integration & Data Management Pt. 2
<p>On today's episode, Mark and Clint Berry delve deeper into the fascinating world of dental software. They begin by explaining the origin and meaning behind the name "Kolla," which is Greek for "glue," symbolizing the company's mission to seamlessly integrate various software s ... Show More
33m 1s
Dec 2021
Making the Turn from Data Inventory to Helpful Information with Mara Reiff, the Chief Data Officer of FreshBooks
<p>If data is in a pool that only keeps getting deeper as data inventory is accounted for, when is the exact moment for a business leader to jump in to do something with all the accumulated information? Leaders who care about data appreciate that it’s necessary to take stock befo ... Show More
32m 50s
Jun 2024
Career Development: How Project Managers Can Thrive With AI
<p>Artificial intelligence is transforming how project managers work, helping them build schedules, analyze data and identify risks. So what skills and knowledge will help project professionals thrive in the AI era? Guests discuss practical ways to build AI acumen—and how marketi ... Show More
19m 51s