In the competitive oil and gas industry, embracing digital transformation can make a big difference for companies to achieve greater efficiency – creating both CAPEX and OPEX gains. But when capturing Big Data, via Internet of Things (IoT) and Artificial Intelligence (AI) solutions, you can still end up with just data, when what you really need is the ability to solve a problem. What questions do you need answered in order to propel your business forward? A Knowledge Platform starts with a problem and the “problem question.” This is a Knowledge First approach. It bucks the traditional system a bit, where you tend to look at the data first. The old way makes it easy to get lost in the data, to lose your ability to get perspective, and miss critical insights.
“Knowledge First” works with the Maana Q (Q) Knowledge Platform™ because “unlike other platforms, Q doesn’t require you to move all of your data algorithms into a new system,” explains Donald Thompson, Maana’s Founder and CTO. “Instead, we can take advantage of where data already resides, as well as the algorithms and systems you’ve already developed.” Maana Q then only pulls through the specific data needed to answer a question.
Traditionally, data analytics involved starting with the data and doing a bottom-up approach. But, with Maana Q, we focus first on the subject matter experts (SMEs) and how they think about the problem. “So, this is involved in concepts, the relationships between those concepts, as well as the types of operations we need to perform in order to solve the business problems” Thompson adds. “Knowledge First involves trying to answer the business problem from a top down perspective.”
While the transition to a “Knowledge First” environment can sound complicated, the Maana Q Knowledge Platform offers three components to streamline the process: Interoperability, Reusability and a Frictionless Development. These factors ease the transition to adding a knowledge layer to a company’s existing digital stack.
The Maana Q Knowledge Platform allows you to build your knowledge layer in an open environment. You don’t have to write every new line of code from scratch. Maana Q builds the “glue code” for you. Through GraphQL, Maana Q allows a company to take its legacy architecture built around APIs and move them into a modern architecture. As Maana Q is protocol agnostic, Maana Q can ingest data from almost any source (and importantly new interfaces are easy to write). You can capture data widely, ingest it at scale, run it through your models, and get answers on which you can run your business. When knowledge is an integral part of your infrastructure, easily fitting within your existing digital stack, everything moves faster.
Models are the invaluable asset you get out of the Maana Q Knowledge Layer. Dynamic models are made easily and quickly in our user interface and can capture even the most complex of relationships, how they change over time, and how those changes correlate to real world events. As the number of models grow, the entire system gets smarter, faster, and more capable.
The Maana Q Knowledge Platform was designed to address the needs of delivering enterprise-wide solutions so everyone using the systems and services in the company can work together and build upon technologies. Digitalization across a company’s enterprise take advantage of the models one business unit has developed to inform models in other areas, which accelerates development of knowledge applications.
Unlike the approach with traditional IoT or AI solutions, a Knowledge Platform puts people at the center of the solution. Maana Q frees people from having to think like a machine in order to get answers. A Knowledge Platform like Maana Q, makes it easy for everyone to contribute to, and benefit from, the knowledge layer. It’s easier for everyone to increase their understanding, knowledge, and collaboration. Maana Q’s Knowledge Graph is intuitive and operable by coders, non-coders and everyone in between. Now the environment fosters collaboration rather than operating in silos.
Thompson explains, “At the heart of a Maana’s mission is the Maana Q Computational Knowledge Graph™ that enables us to take people’s experience, frame it in the form of problem questions, which are then solved by both data and algorithms coming together.”
This enables more people to participate using visual programming, low code, no code techniques, subject matter experts, data scientists, and analysts can all work together collaboratively to deliver these solutions at scale,” says Thompson. The visual modeling environment forms the reusable tacit knowledge that is often the competitive edge for businesses. It enables SMEs and analysts to work together in order to test the solution as it’s being developed based on years of working with some of the world’s largest companies and solving some of their hardest problems.
Opening up the stack to add Maana Q as the Knowledge Layer is the efficient way to transition to the successful side of the post-digital environment: To hear more, click here: https://www.maana.io/knowledge-platform/
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