Number of Case Studies29
IBM | Using The Cloud and Machine Learning To Enhance Customer Experience
IBM | Using The Cloud and Machine Learning To Enhance Customer Experience
Customer experience is a key competitive differentiator for airlines, and increasingly depends on digital channels. How could American Airlines meet its customers’ appetite for instant information and services?
Serving Members, Increasing Competitiveness through Innovation and Rapid Time to Market
Serving Members, Increasing Competitiveness through Innovation and Rapid Time to Market
Blue Shield of California wants to better support members and boost competitiveness by accelerating the provisioning of new systems while improving IT agility to get new offerings to market fast.
Responding to Business Needs More Quickly
Responding to Business Needs More Quickly
Qualcomm’s IT staff found performance and manageability of existing large data warehouses were becoming difficult as data volumes and business demands increased. IT staff was challenged in responding quickly enough to new business projects.
Number of Suppliers24
VAI
VAI
VAI is a leading independent mid-market ERP software developer renowned for its flexible solutions and ability to automate critical business functions for the distribution, manufacturing, specialty retail and service sectors. An IBM Premier Business Partner, VAI is the 2012 IBM Beacon Award Winner for Outstanding Solutions for Midsize Businesses. VAI continues to innovate with new solutions that leverage analytics, business intelligence, mobility and cloud technology to help customers make more informed business decisions in real-time and empower their mobile workforces.
IBM Watson (IBM)
IBM Watson (IBM)
Watson is a question answering computer system capable of answering questions posed in natural language, developed in IBM's DeepQA project by a research team led by principal investigator David Ferrucci. Watson was named after IBM's first CEO and industrialist Thomas J. Watson. The computer system was specifically developed to answer questions on the quiz show Jeopardy!. In 2011, Watson competed on Jeopardy! against former winners Brad Rutter and Ken Jennings. Watson received the first place prize of $1 million. Watson had access to 200 million pages of structured and unstructured content consuming four terabytes of disk storage including the full text of Wikipedia, but was not connected to the Internet during the game. For each clue, Watson's three most probable responses were displayed on the television screen. Watson consistently outperformed its human opponents on the game's signaling device, but had trouble in a few categories, notably those having short clues containing only a few words. In February 2013, IBM announced that Watson software system's first commercial application would be for utilization management decisions in lung cancer treatment at Memorial Sloan Kettering Cancer Center in conjunction with health insurance company WellPoint. IBM Watson's former business chief Manoj Saxena says that 90% of nurses in the field who use Watson now follow its guidance.
IBM
IBM
IBM is an American multinational technology and consulting corporation that manufactures and markets computer hardware, middleware and software, and offers infrastructure, hosting and consulting services in areas ranging from mainframe computers to nanotechnology. IBM is intent on leading the development of a global data field. Year founded: 1911 Revenue: $92.7 billion (2014) NYSE: IBM
Number of Organizations2
Tribe Accelerator
Tribe Accelerator
Tribe Accelerator is the first Singapore government supported blockchain accelerator, championing to be a neutral platform in driving collaboration and growth of the blockchain ecosystem. The product development focused accelerator aims to provide promising startups a hyperconnected platform to develop innovative solutions together with our network of global corporations, government agencies and top blockchain companies. Tribe Accelerator is backed by some of the world's leading organisations including AXA, BMW Group Asia, Citibank, ConsenSys, Ethereum Foundation, EY, IBM, Intel, Nielsen, PwC, R3, Temasek, Ubisoft and others.
Object Management Group (OMG)
Object Management Group (OMG)
Object Management Group (OMG) is international, open membership, not-for-profit technology standards consortium. OMG standards are driven by vendors, end-users, academic institutions and government agencies. OMG Task Forces develop enterprise integration standards for a wide range of technologies and an even wider range of industries. OMG’s modeling standards, including the Unified Modeling Language? (UML?) and Model Driven Architecture? (MDA?), enable powerful visual design, execution and maintenance of software and other processes. OMG also hosts organizations such as the user-driven information-sharing Cloud Standards Customer Council? (CSCC?) and the IT industry software quality standardization group, the Consortium for IT Software Quality? (CISQ?). OMG also manages the Industrial Internet Consortium, the public-private partnership that was formed in 2014 with AT&T, Cisco, GE, IBM, and Intel to forward the development, adoption, and innovation of the Industrial IoT.Our members include hundreds of organizations including software end-users in over two dozen vertical markets (from finance to healthcare and automotive to insurance) and virtually every large organization in the technology industry. OMG’s one organization- one vote policy ensures that every member organization- whether large or small- has an effective voice in our voting process. At OMG, specification adoption is the starting point rather than the end of the process. Our “No Shelf-ware” policy bars all proposed specifications that do not have an implementation plan from being adopted by OMG. This guarantees that all OMG specifications are immediately useable. Furthermore, we do not just focus on the specification itself - we focus on the whole product: with corresponding seminars, workshops, certification, books and more! OMG hosts four technical meetings throughout the year. These meetings give OMG members and interested nonmembers the opportunity to collaborate in a centralized location, learn about technology standards products and processes at tutorials, and attend special information day events on current trending hot topics. While technical meetings provide a centralized location for Task Forces and Working Groups to work together, they are merely checkpoints with the bulk of the work between members taking place electronically via email, teleconferences, and on wikis.In addition to technical meetings, OMG acts as event producer for conferences and workshops for its members around the world, including the Internationalization & Unicode Conference.OMG maintains liaison relationships with dozens of other organizations including ISO (which publishes many OMG standards without edits), Health Level Seven (HL7), and the Data Transparency Coalition.
Number of Use Cases3
Asset Health Management (AHM)
Asset Health Management (AHM)
Asset Health Management refers to the process of analyzing the health of an asset as determined by operational requirements. The health of an asset in itself relates to the asset's utility, its need to be replaced, and its need for maintenance. It can be broken down into three key components: 1) Monitoring: Tracking the current operating status of the asset. 2) Diagnostic Analysis: Comparing real-time data to historical data in order to detect anomalies. 3) Prognostic Analysis: Identifying and prioritizing specific actions to maximize the remaining useful life of the asset based on analysis of real-time and historical data.
Predictive Maintenance
Predictive Maintenance
Predictive maintenance is a technique that uses condition-monitoring sensors and machine learning or rules based algorithms to track the performance of equipment during normal operation and detect possible defects before they result in failure. Predictive maintenance enables the reduction of both schedule-based maintenance and unplanned reactive maintenance by triggering maintenance calls based on the actual status of the equipment. IoT relies on predictive maintenance sensors to capture information, make sense of it, and identify any areas that need attention. Some examples of using predictive maintenance and predictive maintenance sensors include vibration analysis, oil analysis, thermal imaging, and equipment observation. Visit our condition-based maintenance page to learn more about these methods.
Intrusion Detection Systems
Intrusion Detection Systems
Intrusion detection systems monitor network traffic and search for suspicious activity and known threats, sending alerts when suspicious activity is identified. The overall purpose of an intrusion detection system is to inform IT personnel that a network intrusion has or may be taking place. Alerts will generally include information about the source address of the intrusion, the target/victim address, and the type of attack that is suspected. Each IDS is programmed to analyze traffic and identify patterns in that traffic that may indicate a cyberattack of various sorts. ID systems are being developed in response to the increasing number of attacks on major infrastructure and commercial sites and networks, including those of the Pentagon, the White House, NATO, ports, and electrical grids. The safeguarding of security is becoming increasingly difficult because the possible technologies of attack are becoming ever more sophisticated; at the same time, less technical ability is required for the novice attacker, because proven past methods are easily accessed through the Web. The adoption of IoT technologies also provides new avenues of attack through end points, such as connected devices, that often have weak security features.
29 Case Studies
24 Suppliers
2 Organizations
3 Use Cases
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