App Orchid to Showcase New Generation of Smart Apps for Utility Industry at DistribuTECH 2016
Redwood City, Calif. (PRWEB) February 02, 2016 -- New apps harness artificial intelligence and machine learning to make predictive analysis and risk management as simple as asking a question on Google
App Orchid, Inc., a developer of cognitive computing apps powered by artificial intelligence, has announced it will showcase its first apps for the Utility Industry to use artificial intelligence and natural language processing to blend structured data from operational systems and the Internet of Things with unstructured human knowledge such as reports, logs, emails, and social media.
App Orchid apps use big-data based in memory technology, artificial intelligence, machine based learning, and natural language processing to identify patterns, risks and opportunities previously impossible with traditional analytical tools. The information derived from both the structured and unstructured data sources is merged and presented to the user using story-boards and/or video-based narratives that provide superior insight that is above the capabilities of conventional visualization tools.
These apps allow companies to leverage and enhance the investments they have made in smart grid technology. They can add tremendous value to a utility’s predictive analytics capabilities across a wide variety of use cases, including such examples as renewable generation modeling, unit-commit economics, infrastructure planning and maintenance, asset failure, risk analysis, outage management, demand response, weather modeling, customer support, and crises planning. The apps can be developed in a very short time and do not require a major investment of the utility’s time or money.
Where once Utilities only had to respond to operational data in structured format (databases) that resided in such disparate systems as SCADA EMS, DMS, CIS, etc., the intelligent grid forces Utilities to break the barriers of these data silos, and integrate this structured data with unstructured data residing in the internet, social media, news and weather. They also need to tap into their organization’s tribal knowledge in the unstructured form of reports, emails, evaluations, presentations, and observations. The aging utility workforce makes this even more important, as key tribal knowledge can leave with the employee.
“While utilities are quickly discovering the value of apps they provide their customers to modify behavior and improve customer loyalty, few have embraced the use of apps to improve their own operational efficiency and risk management,” said App Orchid CEO, Krishna Kumar. “Significant advances in the power of in-memory processing, machine learning, artificial intelligence, and natural language processing have the potential to blend millions of data points from tribal knowledge, operational systems, and the Internet of Things, using apps no more complicated than Google Maps.”
DistribuTECH 20016 attendees can see demonstrations of these apps at booth #2263.
About App Orchid Inc.
App Orchid Inc. uses cognitive computing and next generation user experience as a means of providing multi-device apps across the enterprise value chain. Using ground-breaking data science, artificial intelligence and natural language interface, analysts can now develop powerful business apps and solutions with minimum IT oversight and governance. App Orchid has put together an expansive ecosystem of customers, partners, developers and innovators to help build intelligent Big-Data apps across enterprise functions. For more information, please visit http://www.apporchid.com
Krishna Kumar, AppOrchid Inc, http://www.apporchid.com/, +1 (650) 291-2924, [email protected]
Share this article