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 ...
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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 ...
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 ...
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 b...
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...
Unstructured data is produced in abundance by every business in some way. Whether it's images and videos, text-heavy emails, or sensor data, all of these have the potential to increase competitive advantage if meaningful, actionable insights can be extracted from them. But traditional analytics tools haven’t been optimized to pull from or make sense of unstructured data sources. This means organizations are excluding a huge cache of their data from all their analyses—and potentially le...
Approximately 2.5 quintillion bytes of data are produced every day (for reference, there are 18 zeros in that number!). Companies contribute an immense amount of data to those bytes and for a long time, BI dashboards were enough to make sense of all that information. But as datasets continue to grow and become more complex, the limitations of BI tools are leading to a mind-numbing phenomenon known as “Death by Dashboard.” Similar to the “Death by PowerPoint” meetings featuring decks with 100...
Organizations today recognize the potential of their data to drive business-changing insight. However, as data sets become more complex and robust, analyzing comprehensively using traditional methods has become difficult. Multidimensional data is one such data set, capable of helping analysts uncover critical information that leads to better strategic decision-making. But this complex data requires looking beyond two-dimensional structures, so not every company is able to take full adva...
Conversation with Jeff Vagg, Chief Data and Analytics officer at North American Bancard. Listen in as he discusses Gen AI--how to use it, what to be wary of-- the changing role of the analyst, and how they're planning to use Virtualitics!
We turned to the experts on our Scientific Advisory Board for their insights on the foundational skills necessary for data exploration, how network science and AI fit in, what ChatGPT will really replace in the world of work, and more.
Predictive maintenance isn't getting the job done. To really get ahead, maintenance teams and their leaders need ways to consider all the relevant data.
Equipment availability is the difference between success and failure. If a resource is out of service for any reason it means lost revenue. Your data can help keep your equipment running smoothly if you can leverage it correctly, but just predicting failure rates isn’t enough to gain a competitive advantage.
If you feel like your data and analytics capabilities have fallen behind, you aren’t alone. A recent CIO survey found that 85% of organizations aren’t using tools designed to explore complex data. That means most companies have teams of analysts who are providing reports on the snippets of the past, rather than strategically recommending actions for the future. That's why it's time to ditch your dashboard...or at least get something to level it up.
The latest episode of the Intelligent Exploration Podcast features Ana Garcia, Director of Data Science and Analytics at ZipRecruiter, as she reflects on the changing landscape of business decision-making as she sees teams shift from relying on presentation decks and bar graphs to developing interest in data-driven solutions, dashboards, and predictive models. Transcript: Caitlin Bigsby: Hi, and welcome to the Intelligent Exploration Podcast. I'm joined today by Anna Garcia. Can you tell us a...
Generative AI tools like ChatGPT have emerged as potentially powerful assets for businesses across various industries. However, not everything created by generative AI has value, and some of it carries significant risks. The question is, what do users need to do to find strategic and safe uses for generative AI?
With the collapse of a third bank this year, and an increasingly volatile financial market, financial institutions don’t have a lot of room for error. What they do have is a lot of data, both internal and external, and data analysts doing their best to find signal to guide them in massive, complex datasets. When analysts can truly explore all the relevant data, and visualize it in constructive ways, they can guide teams to winning strategies...if they have the right tools.
The Virtualitics AI Platform is designed to save your analysts from an overwhelming avalanche of data in Snowflake and discover insight that can change your business.
On our latest podcast episode, Caitlin Bigsby, Virtualitics' Head of Product Marketing sits down with Shreshth Sharma, Senior Director of Strategy and Operations at Twilio, to talk about his journey into the world of data and analytics from management consulting. Drawn by the intersection of business, technology, and data analytics, Shreshth has built a great reputation in analytics.
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 ...
