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Maana unveils Winter '17 Knowledge Platform

Monday, October 17, 2016

Maana, announced the newest capabilities of the Maana Knowledge Platform. These advancements help Fortune 500 companies increase profitability by accelerating knowledge discovery for asset and process optimization.

Going beyond the data-centric approach, Maana's knowledge technology extracts knowledge from multiple, diverse information inputs-including data silos, business domains, and organizational processes- to illustrate how they interconnect as a whole. This provides a holistic view of the assets or processes enterprises want to optimize.

'With Maana's Knowledge Platform, we are continuously creating and enhancing a layer of enterprise knowledge on top of our IT & OT data silos,' said Ibrahim Gokcen Head of Data Science & Analytics at Maersk. 'Through this knowledge, Maana's platform will accelerate our time-to-value significantly by giving us the ability to develop hundreds of models, driving asset, operations & business optimization.'

Core Knowledge Platform:
Maana's platform is built with a knowledge-centric approach that incorporates its patented knowledge graph, AI algorithms, semantic search and several state of the art technologies. At the core of the platform is the Maana Knowledge Graph. The graph captures the complex dynamic relationships of how the enterprise and its assets operate and interconnect. This unique approach dramatically increases profitability by accelerating time to value for asset and process optimization. Maana's user guided, machine-assisted approach uses advanced algorithms and deep learning to expedite developing, enriching, classifying and constructing knowledge, in the form of models, that represent various aspects of the business. Maana accelerates decision-making and allows for the first time, on one platform, collaboration between domain experts, data scientists and business analysts.

Maana enables enterprises to translate insights into recommendations and embed them into the line-of-business applications. Once operationalized, the models continue to learn and adapt from the actions and feedback of subject-matter experts bringing intelligence to every task, every day.

'Maana's knowledge graph and algorithms dramatically accelerate extracting knowledge that demonstrates the relationships between our data, processes and domain expertise in the context of optimizing assets or processes. With Maana we are able to solve some of Shell's toughest problems three times faster than we have in the past.' said Johan Krebbers, IT CTO & VP TaCIT Architecture at Shell.

'With this release of Maana, in addition to deep platform investments, we are introducing our first collection of Knowledge Assistants and Knowledge Applications that really bring out the value of our user-guided and machine-assisted approach,' said Donald Thompson, founder and president at Maana.
'People at all levels are empowered to rapidly gain the understanding they need in order to make the best decisions, while generating new knowledge assets (models) that others can use or build upon.'

Maana 2017 Platform: Knowledge Assistants and Knowledge Applications New Capabilities
1) Knowledge Applications: Business users and domain experts can utilize Maana's Knowledge Applications to solve real-world business challenges when optimizing business processes like their supply chain, call center, accounts receivables or perform predictive maintenance among others.

2) Knowledge Assistants - Data scientists and technical experts can easily and quickly create new iterative models using Maana's Knowledge Assistants like Semantic Similarity, DocAssist and Time Series Analysis to name a few:

• Semantic Similarity empowers users to identify instances, cases, events or records similar to the one they would like to investigate. Its guiding algorithms search across a number of dimensions (performance, economic, competitive, etc.) to identify similarities in the context of what the user is trying to solve.

• DocAssist enables extraction of targeted knowledge in the relevant context from unstructured documents, like PDF or word files, emails, or images.

• Time Series Analysis supports the analysis of high-frequency (time) series data. Time Series Analysis provides:

o Interactive Visualization and Search over terabytes of multivariate data
o Predictive Algorithms and approaches, including non-sequential and deep learning techniques
o Contextual Analysis which enables a 360-degree view of an asset

Associated Companies
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