Infosys

Cummins Power Generation BU launched Frontier program which will allow a common, global order-management system that will enable its customers to receive the right product at the right price at the right time.

Road congestion and strained transportation networks are persistent concerns associated with the rapid urbanization of developing and developed economies. A 2015 study1 reported that travel delays due to traffic congestion led to the waste of 3.1 billion gallons of fuel and a loss of nearly 7 billion extra hours to travelers during rush hour traffic, with a nationwide cost of around $160 billion, or $960 per commuter. Alleviating traffic congestion, in addition to improving safety, is leading public and private organizations to explore new mobility paradigms such as ride-share autonomous vehicles. GOAL The goal of the Connected Vehicle Urban Traffic Management (CVUTM) testbed is to create a smart road traffic ecosystem featuring connected vehicles using vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technologies, sensor fusion, industrial IoT platforms, cloud infrastructure, and edge analytics. This testbed will serve to preempt road congestion, automatically detect unusual eventson the road, and enable cooperative movement of traffic. In due course, both autonomous and non-autonomous vehicles will participate in this ecosystem with a goal of minimizing road congestion and improve overall improving motorist and pedestrian safety.

The growing water shortage is regarded as the most crucial global challenge, affecting both developing and developed nations at present. Large amount of water is lost in between the point of production and receipt by end users due to leaky pipes and outdated infrastructure. This results in the loss of millions of dollars and huge wastage of such a key resource. GOAL A substantial opportunity exists to reduce the amount of water lost. As water can be lost at multiple points over a wide geographical area, Internet of Things (IoT) technology is particularly well suited to address this problem. The Smart Water Management Testbed will implement a network of real-time sensors (leakage, moisture, and water -flow detection). These will be deployed at high-risk locations across the testbed water infrastructure to reduce the amount of water being ‘lost’ by: • Rapid detection of leaks • Preemptive detection of potential leaks • Precision irrigation of watered areas

The global population is continuing to grow at a rapid pace placing increasing demands on the global food supply. In addition, impacts from climate change and a yearly reduction of available arable land will require the Agricultural sector to develop better ways of increasing crop yields and reducing costs. GOAL The goal for the Precision Crop Management Testbed is to create an environment where IoT solutions with the potential to impact world hunger can be developed.

Energy costs continue to increase globally, driven by the depletion of fossil fuels, geopolitical instability and disruptions in the global supply chain. At the same time, organizations are constantly thriving to reduce overheads and minimize the cost of the operations. Current challenges include lack of instrumentation to get the energy consumption details and lack of tools to visualize and analyze the energy consumption patterns. This hinders stakeholders from taking any meaningful action to optimize energy consumption and reduce the overall energy cost. GOALS • Develop an ‘energy command center’ that is able to provide visibility into energy consumption across the campus • Provide various tools to compare, predict and analyze energy consumption and performance • Provide IT governance with the help of alerts, notification, workflows, ticketing and augmented reality tools to facilitate the operations

A recent study on maturity of Asset Efficiency from Infosys and the Institute for Industrial Management (FIR) at Aachen University revealed that 85 percent of manufacturing companies globally are aware of asset efficiency, but only 15 percent have implemented it at a systematic level. Current challenges include lack of instrumentation of the assets, missing real-time data analytics, lack of context due to missing information from other systems, and lack of a holistic focus with other aspects of efficiency like energy, utilization, operations, and serviceability.GOALTo collect asset information efficiently and accurately in real-time and run analytics to make the right decisions

With extended life spans of the world's population comes an increased burden on the world's health care systems. Up to 80% of older adults have at least one chronic health condition that requires continual treatment management. With the advent of accessible IoT technologies, health care providers are now able to access patient remote monitoring and health informatics that can make management of these populations more cost effective and increase the quality of care. However the slow pace of technology adaptation and proprietary solutions among medical device manufacturers makes it difficult for caregivers to implement a cost-effective IoT solution for patients which can bring together all pipelined stages of patients' treatment, from initial diagnosis through lifetime disease management. GOAL To develop an open IoT ecosystem for clinical and remote medical devices that can bring together patient monitoring data into a single data management and analytics platform.

Hess Corporation desired a materials management technology that improved accuracy and efficiency across their entire supply chain.This included connectivity to onshore warehouses and yards, and to remote locations, such as ships and offshore platforms.The need for paperless operations was key, as was the ease of use and the ability for minor configuration changes to be made as business needs dictate.