Intelligent 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-focu...

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...

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 highli...

Virtualitics delivers an AI platform and custom workflows for the federal government to drive mission readiness, and discover intelligent insights.

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 o...

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...

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 requir...

AI is being used and abused by criminals to expand the reach of cyber attacks. The good news? AI can also be used to fight against those same attacks.

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.

Financial business leaders, listen up: your data analysts should be your best friends. Here's why.

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 di...

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 w...

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?

There are two major questions we have to ask ourselves about Generative AI: Can we trust the answers engines generate, and how do we know that we can?

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 way...

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.

Data analytics teams are often overtasked and understaffed. To keep delivering results, they are oftentimes forced to take shortcuts or significantly reduce the scope of their analysis. This is especially true when it comes to dealing with large, complex datasets. Data sampling can provide relief for analysts, but it also introduces new challenges.

Organizations are striving to make data-driven decisions that will keep them ahead of the competition and position themselves for strong, healthy growth. They have vast amounts of data at their disposal that potentially hold the answers; they’re missing enough data science skill to extract those answers. The key to closing that gap is in the untapped potential of the data analysts. With the right...

We were just at the 2023 Gartner Data and Analytics Summit, which is always a valuable opportunity to hear directly from data scientists and analysts... and they sure had questions. The biggest one was "What do all these vendors mean when they say they have 'AI' and what does this mean for me?"

Gathering a sample from your dataset that properly represents the nuances in the data is challenging for anyone, even seasoned data scientists. Since it’s likely that the data you need to explore is massive, sampling can’t be avoided. But taking shortcuts–first and last rows, time-bound, and even the classic random sample algorithm–can introduce bias into your exploration. With our latest release,...

We're talking to longtime data science leader, Justin Smith, about how the business can work better with the data science teams. Referenced in this podcast is an AI algorithm to triage patients and known biases in healthcare that impact patient pain treatment.