Below is our recent interview with Ryan Levy, Chief Operating Officer at Knowi:
Q: Could you provide our readers with a brief introduction to Knowi?
A: Knowi is an Augmented Analytics company. Our platform simplifies the process of compiling and analyzing unstructured and structured data. Recently, we developed an anthem to help consumers understand what we do in a simplistic manner: ‘Any, any, any, any.’ This breaks
down to any data, anywhere, any size, for anyone.
Knowi instantly connects to any data, no matter what the data is; structured, unstructured or modern/messy data. And we don’t care where the data is – on your site, in the cloud, on shore or global, our platform connects to your data from anywhere. Your data could be any size – small, medium, large, big data, massive data; our platform was made for this.
Where it starts to get most exciting is the anyone – the people. You no longer need to have technical skills or submit a request to a technical team member to provide you with insights to your data. Users simply login to Knowi and can access and view dashboard widgets or build customized reporting on the spot. Your data; your way.
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Q: Can you give us insights into your platform?
A: Knowi is not just another BI or analytics tool. We are a full-fledged, end-to-end, Augmented Analytics platform. That means that we are a platform composed of multiple modules that address the needs of our customers and provide the capability and functionality they need in order to see the data the way they need to see it.
At the core of our platform is our Data-as-a-Service. This is where our ‘data science engine’ allows users to natively and instantly connect to all and any disparate data sources (structured, unstructured or everything and anything in between) and then extracts the data to create visualization dashboards. These visualizations are completely customizable based on the unique needs of each of our customer’s businesses and are easy to understand and manipulate without any technical knowledge. It doesn’t matter who you are in the organization, you have the ability to see your data how you want it, when you want it.
And if that wasn’t enough data power for you already, we then layer AI on top in the form of machine-learning (encompassing Classification, Regression and Anomaly Detection).
The whole premise around Knowi is to provide a simple, self-service BI platform that covers everything from connecting to your data, providing the AI piece, the machine learning piece, the natural language processing piece and then the actions and visualizations behind it.
Q: You’ve recently announced the latest release of Natural Language BI 2.0; could you tell us something more?
A: We are super excited about this release because now users can query their data in a “google like” search functionality. Knowi users can use their natural language, without having to understand how to write complex queries or any kind of querying syntax. In addition, you can simply ask a question of your data in real-time to get insights immediately. And just as important, we don’t restrict the data required to answer the question from a single data source, we allow you to ask questions across all your data sources.
Q: Why is now the time to change how we do analytics?
A: For decades, every company has been driven by data; whether you are the pizza shop on the corner or a billion dollar software company. We are looking at numbers, defining our return on investments, deciding what is our next move to grow – and it’s all data. But the data has become unmanageable and silo’d. We have made it easy to collect data but we haven’t really focused much on how to make it easier to extract and analyze that data.
The old way of running analytics and managing these data sources to provide some kind of visualization has been a complex process. It’s been intensive from a resource, and a cost perspective, because you’ve previously been required to use multiple tools and multiple people to do something to your data. Which means by the time you get your answer, the data may have changed entirely.
Also consider this, analytics as we know it has traditionally been a backwards view. Most tools today look at data that has already taken place and that is what they are designed to do. With Augmented Analytics, we are now combining the concept of AI and BI to be able to create models and give customers the ability to see what may happen and what actions may be taken. This is what you may have heard of as predictive and prescriptive analytics.
The reason why we built the platform that we did, and why we didn’t just build a visualization tool or a Data-as-a-Service tool, is because we want it to be scalable and to grow with the industry. We will always have data, so let’s fix the way we use it and access it now so that it continues to work for us in the future.
Q: You’re not a typical silicon valley startup – what makes you different?
A: The way the company was originally formed was an idea to address modern data architecture complexity. Built truly out of a basement in Oakland and boot strapped with no institutional funding, we waited for a substantial period of time to prove that our product was viable and could do what we said it could, before we actually recruited customers and users.
Generally, startups will raise funds based on a concept, and use those funds to build a team and then go out and procure customers. We kind of did it backwards in that respect. As a generation 3 platform, our vision is to lead the wave of Augmented Analytics solutions that will transform how enterprises are run. We believe we have a great customer base currently and have allowed ourselves plenty of room to grow.
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Q: What are your plans for the future?
A: From a business perspective, we’ll continue to be a leading force in Augmented Analytics. Knowi is different than other tools available to businesses today and we will continue to focus on how our platform allows organizations to use data to transform their business states.
We will continue to focus our investment, our expertise and our go to market around not just Augmented Analytics and the view of data as of today, but really driving true value out of where this value is going to go.
In the end, it is really more about redirecting how we can help organizations understand what they can actually do with the data and how valuable the data is rather than trying to figure out how we are going to untangle it and make sense of it. And that is the core principle behind Knowi.