BBBT - Maana - 2016
Event Details
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Topic:
Enterprise Knowledge Technology the Next Frontier Beyond Big Data Analytics
Summary:
Over the past few years enterprises have augmented their data warehouses by spending tens of millions of dollars to create data lakes and fund lengthy big data projects. Most of these analytic initiatives have been performed in departmental silos, but did not have significant impact on increasing enterprise-wide profitability. The most innovative Fortune 500 companies have embarked on major digital transformation initiatives using Enterprise Knowledge technology. This new technology, pioneered by Maana, enables companies to optimize every asset and business process across an enterprise on an ongoing basis. Maana’s Knowledge Platform accelerates knowledge discovery to increase profitability. At the core of the platform is the patented Knowledge Graph™, which enables knowledge representation and reasoning for asset and process optimization. This invention extracts knowledge directly from data silos and information sources and demonstrates their relationships as models to gain a holistic view of how assets and processes interconnect across the enterprise. Maana’s platform uses a set of sophisticated AI algorithms that are “user-guided, machine-assisted” and dramatically accelerates the creation of models for faster optimization of operations.
Presenter(s):
Tara Prakriya – Chief Product Officer
Tara Prakriya is Chief Product Officer at Maana. She spearheads product strategy and direction. Tara’s background includes 15 years at Microsoft, holding various roles, including: Partner General Manager of Technical Strategy reporting to the CTO; Product Unit Manager of the Tablet PC Group in Windows; and Product Unit Manager of the advertising and content management teams in MSN; and the Group Program Manager for iDSS, the first large scale data warehouse for consumer web activity for the worldwide MSN and MSNBC networks. Prior to Microsoft she worked in financial data warehousing at Merck. Post Microsoft she was Senior Vice President of Product Management at Scantron. Tara earned an M.B.A. in Finance and a Bachelor of Business Administration in Computer Science. She holds multiple patents related to web advertising, data, digital ink, and other technologies.
Azita Martin – Chief Marketing Officer
Azita Martin is Chief Marketing Officer of Maana, the Knowledge Platform that accelerates enterprise profitability. Azita brings a combination of big data expertise, combined with extensive marketing leadership experience at high-growth start-ups and category-creating public companies like Salesforce and Siebel. Azita has global responsibility for scaling all aspects of Maana’s product and corporate marketing, including defining go-to-market strategy, driving thought leadership, increasing brand awareness and customer acquisition. Prior to joining Maana, Azita was Chief Marketing Officer of Datameer a big data analytics company. Azita has built and led marketing teams for both fast-growing start-ups and major public companies, including Moxie Software, LiveOps, Salesforce, Siebel and SGI. Azita has a B.S. in Aerospace Engineering and an MBA from University of Southern California.
Rohan Gosain – Senior Product Marketing Manager
Company Profile:
Maana pioneered “knowledge technology” for the enterprise. Maana’s Knowledge Platform accelerates knowledge discovery to increase profitability. At the core of Maana’s platform is the patented Knowledge Graph™, which enables knowledge representation and reasoning for asset and process optimization. This breakthrough invention extracts knowledge directly from data silos and information sources – eliminating the need for data lakes – and represents concepts, entities, properties, and relationships as models that subject matter experts (SMEs) and data scientists can reason over together. Maana captures knowledge in the form of models, developed to answer complex questions. Maana’s Knowledge Graph enables SMEs to quickly build these data and computational models to answer complex questions and extract the information needed to understand the relationships and interdependencies of business processes and assets across an organization.