Data exploration is the foundation of all your data-driven initiatives. And as those initiatives expand to include AI, data professionals need to get smarter about how they explore their data. If you care about making the most of your data, this podcast is for you.Sponsored and hosted by Virtualitics.
Intelligent Data Exploration
Claim This Podcastby Virtualitics
5.0(1 reviews)
45 episodes
Updated Inactive
Accepts GuestsHas Sponsors
Podcast Overview
Data exploration is the foundation of all your data-driven initiatives. And as those initiatives expand to include AI, data professionals need to get smarter about how they explore their data. If you care about making the most of your data, this podcast is for you.Sponsored and hosted by Virtualitics.
Language
🇺🇲
Publishing Since
6/21/2022
Reach the team behind Intelligent Data Exploration
Verified contact details for this show aren't on file yet — sign up to get notified when they land.
Recent Episodes
November 1, 2023
Why Self-Service Analytics is the IKEA of Data Exploration
Furnishing a home can be a daunting task, especially if you’re living in a place with a few funny angles and oddly shaped nooks. IKEA, the furniture retailer known for their DIY kits, can provide you with some great easy-to-assemble pieces to fill your space, but for unique layouts, prefab furniture isn’t always going to be a perfect fit. These are the times when bringing in a custom or niche-focused solution delivers the perfect fit. When you finally have all your furniture, the result will ...
October 25, 2023
Solve Business Challenges With This AI-Driven Framework
The answers to business problems, large and small, are there for the taking—right in your organization’s data. Yet, the quantity and types of data available for analysis have outpaced the tools most organizations have been using.A CIO.com survey found that 85% of companies are using inadequate tools to explore complex data sets. Furthermore, nearly two-thirds of data science leaders surveyed say that data exploration is held back by a lack of data science skills.While data scientists have bee...
October 18, 2023
CDAO Insights: Do Transformative Applications of Generative AI in Financial Services Exist?
Early this month I moderated the panel “The Implications and Opportunities of Generative AI in FS'' at Corinium’s CDAO event in Boston with David Dietrich (VP, Advanced Analytics and Governance at Fidelity Investments) and Jake Katz (Head of RMBS Research and Data Science at the London Stock Exchange Group). This was a lively discussion with a really engaged audience and it really highlighted for me the squeeze that Data and Analytics leaders are facing right now between their business leader...
45 total episodes available
Deep-dive analytics for Intelligent Data Exploration
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Intelligent Data Exploration?
- How often does this podcast release new episodes?
This podcast updates inactive.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Information about guest appearances is not available.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.