Innovation Journal - Cognizant
Innovation Journal - Cognizant Innovation Journal - Cognizant
RETHINK - INTELLIGENT INFRASTRUCTURE The existing infrastructure may not be energy efficient, and there may be a need to identify energy consumers and arrest energy leaks. And, finally, there is a need to extract additional asset insights, such as average lifecycle, power consumption patterns, environmental conditions, etc. Real-time asset management solutions cannot be easily and rapidly deployed. The team defined the objectives of Cognizant Intelligent Infrastructure as: The Chief Architect’s team from the EMS Center of Excellence envisioned Cognizant Intelligent Infrastructure (CII) for smart and intelligent asset management. They believed developing such a solution could improve information integrity and operational efficiency while streamlining the business processes associated with maintaining and sustaining assets over their lifecycle. In an asset-intensive industry, data is collected from different assets placed at various locations. The acquired data is stored in a central repository and then contextualized for providing insights such as: Whether the asset is functioning properly. Whether the operating environment is safe. Design a common communication infrastructure for interfacing with diverse systems and applications to enable remote monitoring. Develop an intelligent decision support system to tap into the operational data from a large distributed asset base. Provide a set of tools and information to improve proactive and reactive decision making. Create a platform that enables a systematic approach to handling degradation, maintenance and renewal of assets, thereby improving operational efficiency. Enable interoperability for coexistence with newer computing platforms, like the cloud. Whether the asset is nearing end of life. Whether assets are available for the next lifecycle or operation. To begin with, the group developed Cognizant Intelligent Infrastructure for rail systems as a platform that constantly monitors live data from fixed assets such as 25
RETHINK - INTELLIGENT INFRASTRUCTURE points, signaling systems and track circuits through sensors, wireless devices and on-board systems. The core of the platform comprises a set of logical blocks that enable: Acquisition of data Aggregation and processing Data storage Data analytics Decision support Reporting Key features of Intelligent Infrastructure include: Data management: Enables centralization of data collection, along with data management activities like archival and contextualization in the form of actionable insights, for operations and performance. Data analysis: Helps analyze trends and patterns while monitoring asset conditions. It detects and classifies failures, performs root cause analysis of different failures and even develops models that predict the availability of assets for future operations. Report generation: Generates reports on performance and reliability of assets at multiple locations for various categories of users. Notifications and alerts: Links with asset management and workorder systems to create alert messages for technicians and maintenance engineers through rich clients, Web clients and mobile devices. Scenarios for Implementation: Cognizant Intelligent Infrastructure is beneficial in the following scenarios: Datacenter monitoring: As an experiment, Intelligent Infrastructure has been deployed for monitoring data centers at Cognizant. The data center monitoring system has a wireless sensory network for remote monitoring and can handle up to 100 sensors. This system can perform the following: Send SMS to the data center supervisor for any abnormal changes in temperature or humidity levels. Enables supervisors to perform Web-enabled monitoring to visualize real-time events from the data center. Connect to any system from the supervisor’s mobile device for proactive actions. The initial results have shown an average cost saving of up to 85%, with a savings of $400 per person per month per data center management team, in terms of logistics. 26
- Page 1 and 2: 01 20 12 Innovation Journal 02 RETH
- Page 3 and 4: 20 12 Innovation Journal The future
- Page 5 and 6: THE FUTURE OF WORK This is the 15%
- Page 7 and 8: 20 12 Innovation Journal Rethink Yo
- Page 9 and 10: RETHINK INTELLIPEAK Retailers reali
- Page 11 and 12: RETHINK - INTELLIPEAK Ensures peak
- Page 13 and 14: RETHINK - INTELLIPEAK Over the next
- Page 15 and 16: “Genius is infinite painstaking.
- Page 17 and 18: RETHINK - MUSTANG.NET Enable custom
- Page 19 and 20: RETHINK - MUSTANG.NET Challenges in
- Page 21 and 22: RETHINK - MUSTANG.NET provider. The
- Page 23 and 24: Article 03 Cognizant Intelligent In
- Page 25: RETHINK - INTELLIGENT INFRASTRUCTUR
- Page 29 and 30: to lower capital costs and rapid de
- Page 31 and 32: RETHINK - CUPID Article 04 Cognizan
- Page 33 and 34: RETHINK - CUPID CUPID identifies th
- Page 35 and 36: RETHINK - CUPID Identifies areas wh
- Page 37 and 38: RETHINK - TRADE RECONCILIATION HUB
- Page 39 and 40: RETHINK - TRADE RECONCILIATION HUB
- Page 41 and 42: RETHINK - TRADE RECONCILIATION HUB
- Page 43 and 44: “The mark of an artist is how muc
- Page 45 and 46: REWIRE - A BETTER BUSINESS INTELLIG
- Page 47 and 48: REWIRE - A BETTER BUSINESS INTELLIG
- Page 49 and 50: REWIRE - A BETTER BUSINESS INTELLIG
- Page 51 and 52: “One must be something in order t
- Page 53 and 54: REWIRE - DEALER TAB Non-availabilit
- Page 55 and 56: REWIRE - DEALER TAB invested in the
- Page 57 and 58: “The less effort, the faster and
- Page 59 and 60: REWIRE - FASTr Increasingly, physic
- Page 61 and 62: REWIRE - FASTr ”We have to be agi
- Page 63 and 64: RETHINK - FASTr The final solution
- Page 65 and 66: “The ones who are crazy enough to
- Page 67 and 68: REWIRE - iASSESS A leading educatio
- Page 69 and 70: REWIRE - iASSESS Feature for Teache
- Page 71 and 72: REWIRE - iASSESS President Obama’
- Page 73 and 74: REWIRE - iASSESS Q: So, your team
- Page 75 and 76: REWIRE - PLATINUM DWBI Article 10 P
RETHINK - INTELLIGENT INFRASTRUCTURE<br />
points, signaling systems and track circuits through sensors, wireless<br />
devices and on-board systems. The core of the platform comprises a<br />
set of logical blocks that enable:<br />
Acquisition of data<br />
Aggregation and processing<br />
Data storage<br />
Data analytics<br />
Decision support<br />
Reporting<br />
Key features of Intelligent Infrastructure include:<br />
Data management: Enables centralization of data collection, along<br />
with data management activities like archival and contextualization in<br />
the form of actionable insights, for operations and performance.<br />
Data analysis: Helps analyze trends and patterns while monitoring<br />
asset conditions. It detects and classifies failures, performs root cause<br />
analysis of different failures and even develops models that predict the<br />
availability of assets for future operations.<br />
Report generation: Generates reports on performance and reliability<br />
of assets at multiple locations for various categories of users.<br />
Notifications and alerts: Links with asset management and workorder<br />
systems to create alert messages for technicians and<br />
maintenance engineers through rich clients, Web clients and mobile<br />
devices.<br />
Scenarios for Implementation:<br />
<strong>Cognizant</strong> Intelligent Infrastructure is beneficial in the following<br />
scenarios:<br />
Datacenter monitoring: As an experiment, Intelligent Infrastructure<br />
has been deployed for monitoring data centers at <strong>Cognizant</strong>. The data<br />
center monitoring system has a wireless sensory network for remote<br />
monitoring and can handle up to 100 sensors. This system can<br />
perform the following:<br />
Send SMS to the data center supervisor for any abnormal changes<br />
in temperature or humidity levels.<br />
Enables supervisors to perform Web-enabled monitoring to<br />
visualize real-time events from the data center.<br />
Connect to any system from the supervisor’s mobile device for<br />
proactive actions.<br />
The initial results have shown an average cost saving of up to 85%,<br />
with a savings of $400 per person per month per data center<br />
management team, in terms of logistics.<br />
26