Welcome!

@CloudExpo Authors: Liz McMillan, Zakia Bouachraoui, Yeshim Deniz, Pat Romanski, Elizabeth White

News Feed Item

BP Logix Receives Patent For Process Timeline

Process Intelligence and Predictive Analytics Form the Basis for Patent Approval

SAN DIEGO, Nov. 15, 2012 /PRNewswire/ -- BP Logix, developer of BPM software that accelerates time-to-value, today announced that it has been granted US Patent number 8,296,170 for Process Director by the U.S. Patent and Trademark Office. In granting the patent, the USPTO has recognized many of the unique features that have made Process Director an award-winning technology. The patent covers Process Director's proprietary Process Timeline™ technology, which integrates the dimension of time into BPM, and its predictive analytics, which enable process owners to apply real-time metrics to predict when deadlines will be missed. These capabilities, in addition to dozens of others noted in the patent, empower process owners to simulate potential scenarios in real time, assess the impact of alternative action, making their businesses more predictable, compliant, and efficient.

(Logo:  http://photos.prnewswire.com/prnh/20110404/LA75237LOGO)

Process Director fuses traditional workflow automation with the Process Timeline technology to move business process management (BPM) under the direct control of process users. The Process Timeline empowers these users to create complex and powerful processes by laying out the steps as easily as in a spreadsheet. Users start by creating rich, dynamic forms using a Microsoft Word plug-in, then combine the forms with the Timeline technology to automate and improve even the most sophisticated business processes.

The Process Timeline enables these business users to: 1) Review historical and current data related to business processes, 2) Specify the order, dependencies and conditions related to those activities within running processes, and 3) Instantly implement corrective action to overcome pending problems, if any are present. Process Director/Cloud Edition provides this product functionality within the BPM as a Service paradigm.

"Being awarded a patent for our technology is an affirmation of the new and innovative capabilities found only in Process Director," stated Jay O'Brien, CEO of BP Logix. "As a result of achieving this milestone, the USPTO is now acknowledging what our customers have said: that the Process Timeline enables them to drive process improvement to a higher level," he concluded.

About BP Logix

BP Logix (www.bplogix.com) is the first software company to introduce the dimension of Time into business process management. BP Logix Process Director provides the infrastructure and process intelligence that enables business users to anticipate and predict potential problems in recurring business processes. BP Logix offers an on-premise and hosted model, providing users with the advanced capabilities they need to define, model, automate and track their business processes, resulting in greater efficiency across the organization. Customers include Abbott Labs, DuPont, IDEX, ITT Institute, Leo Burnett USA, NEC Labs, NORESCO, Starwood Hotels and Resorts, the National Eye Institute and the National Institute of Mental Health. For more information, please visit www.bplogix.com or call 877-627-5871.

The BP Logix name and logo are the registered service and trademarks of BP Logix, Inc.

Media Contact:
Marti Colwell
BP Logix
760-643-4121 ext. 3250
[email protected]

or

Ingrid Andrews
CMG Delivers
760-438-3399
[email protected]

SOURCE BP Logix

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.