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 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, nearl…

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 real…

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

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 sens…

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 to…

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 strate…

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.By Amanda Derrick

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!By Caitlin Bigsby

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.By Amanda Derrick

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.By Amanda Derrick

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.By Amanda Derrick

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 fo…

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 predic…

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?By Amanda Derrick

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 r…

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.By Amanda Derrick

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 bu…

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 untapp…

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?"By Amanda Derrick

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 bi…

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.By Caitlin Bigsby

Intelligent Exploration led us to our new favorite True Crime podcasts. But what if we were on the business side of things, not the listener? How could Intelligent Exploration help us find a competitive advantage?By Amanda Derrick

Taking a "random" sample of your data for analysis that will drive your strategy is inherently risky. Why? Let's talk about it.By Amanda Derrick

Virtualitics is excited to announce our Natural Language Processing application that enables you to parse documents, description files, and more.By Amanda Derrick

Our last true crime analysis? That was just "elementary" my dear listener. This time, let's talk about how Virtualitics Intelligent Exploration uses Natural Language Processing and Smart Mapping to find the right suspects.By Amanda Derrick

Customer churn impacts businesses of all sizes in every industry. To tackle churn, you need to be able to pinpoint who is leaving… and why.By Amanda Derrick

We love a good true crime story, and we’re always looking for something new. Could AI-led exploration help us sift through the thousands of podcasts out there and help us discover a hidden gem?By Amanda Derrick

Big Data can cause big problems for companies. How do you make sure your data leads you to success, not expensive confusion?By Amanda Derrick

How does Virtualitics build innovative AI solutions? By building innovative people.By Amanda Derrick

Join us to learn about why it's hard to find data scientists, how you can keep up with market demand, and how you can empower your company to help use your data scientists to their full potential.By Amanda Derrick

If you want to build a successful AI program, you need to embrace these things: Data exploration using AI, true 3D data visualizations, network graphs and network analysis, commitment to finding the most effective, simple solution, and responsible AI. Resources referenced in this article: - https://virtualitics.com/resources/what-is-intelligent-exp…

Armed with your carefully plotted use cases, the result of thorough exploration and consultation with the business, you, your team, and your business leadership will be able to select the right AI use case to move forward with.By Caitlin Bigsby

Whether your goal is to create business-critical AI models or leverage your data to provide better analytics and shape business strategy, you need to proactively guard against bias.By Amanda Derrick

Hypothesis-driven exploration is leading you astray--it's time for Intelligent Exploration to lead the wayBy Caitlin Bigsby

How do Data Scientists learn more about the nuances in their dataset before embarking on an AI project? We asked–they answered. Here are the results.By Caitlin Bigsby

Just how “predictive” is your predictive maintenance? Are you only looking at the time to failure, or are you considering the supply chain, time to repair, and technician availability, too? Our platform shows how each element impacts your overall mission readiness—and how we can help your teams optimize their efforts. Check out our latest blog by J…

AI is on the brink of becoming mainstream, but many organizations aren’t even attempting to use AI yet. Where does your team fall on that spectrum?No matter where you are on the AI maturity curve—just getting started or preparing to dive deeper—our experience has shown that there are nine steps to creating a successful AI strategy.…

This episode is the narration of the Virtualitics blog post Patenting Innovation at Virtualitics by Dr Ciro Donalek, CTO and co-founder of Virtualitics.By Caitlin Bigsby

This episode is the narration of the Virtualitics blog post Get started with network graphs—what they are and why they matter. To see the visuals referenced in the podcast, go to https://blog.virtualitics.com/By Caitlin Bigsby

When we think of AI we tend to think of predictive models and supervised learning. But AI can be applied to exploration and understanding or data right from the start, leading to better business value. Co-head of AI, Aakash Indurkhya sits down with author and data scientist, Tobias Zwingmann to talk about how hypothesis-driven exploration isn’t get…

The future is no-code or low-code, but as more and more companies implement AI solutions and enable non-technical users, how do you maintain accuracy and responsible use? The answer: explainable AI paired with multi-dimensional visualizations. These combined provide a more complete picture of the story playing out in a predictive system and are a m…