Make your enterprise more intelligent, resilient, and ready for whatever tomorrow brings
Market and technical complexities have made it harder than ever to build products and connect global processes. The lack of visibility and insights challenges global enterprises to maintain innovation, efficiency and growth. By applying the Industry 4.0 principles of connectivity, automation, integration and machine learning, organizations can reimagine their go-to-market strategies, rethink their customer-engagement approach, and deploy intelligent products, operations and assets.
Wipro’s Industry 4.0 practice partners with enterprises to help them improve their time to market, boost their bottom line, reduce their carbon footprint, and gain the ability to quickly shift gears as the landscape evolves.
Learn more about our Smart-Digital-Intelligent (SDI) approach to scale-up and create value, explore the insights below, and contact us to discuss how Wipro’s Industry 4.0 experts can help you build and maintain a competitive edge.
It has often been a journey rife with technology buzzwords, to catch up with the latest trend, but most enterprises have not been able to scale up and create value out of their I4.0 forays.
Simplify development, lower costs
Products that don’t fail
The time of artificial intelligence has finally arrived. Although AI had its emergence as a field of study since the late 60s, it remained on the margins as more of a research area with little or no actual impact on mainstream real-world problem solving.
The new wave of transformation
Innovation often takes a backseat in the urge to meet existing market demand, leading to a dip in customer satisfaction and reduced market share.
Routine inspection and maintenance of concrete infrastructure must be performed to ensure structural integrity and prevent structural failures which may cause damage to surrounding infrastructure, environmental pollution and potential loss-of-life.
Engineering next gen products and solutions
Digital Twin, as a concept, has been around for a while. There are several use cases for which Digital Twin can be applied.
Enable Certifications for your electronic products
Advanced solutions for smart manufacturing
The manufacturing industry is an example of a vast industry looking for digital transformation through Internet of Things (IoT) technology, to improve production and quality, and reduce downtime.
Connect with the future
The fashion industry has witnessed a transformation in the design and development of products during the last decade.
Connecting the IoT-based physical system and the virtual model to enable the exchange of data between the two leads to real-time decision-making and analysis of the effectiveness, efficiency and accuracy of the system without affecting the system
Industry 4.0 Digital Transformation Platform
Businesses are gradually shifting to cloud infrastructure because it provides cost benefits and a quicker turnaround time. The overhead of infrastructure maintenance and higher turnaround time for fixes and enhancements with legacy systems are considerable
Leverage breakthrough technologies to meet customer needs of electrification through next gen engineering solutions.
Automated pipeline anomaly detection, classification and reporting solution
There is a global effort underway to reduce the world’s carbon footprint.
Connect with the future
As the automotive industry races toward its future, software and connectivity are redefining the next-generation driving experience.
Automotive original equipment manufacturers (OEMs) have struggled to capitalize on the promise of software-defined vehicles (SDVs).
The automotive industry is racing toward a future of hyperconnected supercomputers. As evidence, consider that the average vehicle today has 100 million lines of onboard code.
Automotive original equipment manufacturers (OEMs) have struggled to capitalize on the promise of software-defined vehicles (SDVs).
Accelerate into the future
Stitch the complete IoT fabric
Mankind has been obsessed with and fascinated by autonomous vehicles for the last few decades. In the 1997 timeless classic – “Tomorrow Never Dies”, James Bond controlled and steered his car using his mobile phone and left audiences enthralled, wondering when they could do the same in their cars. Cut to 2020, and such features are a reality in some of today’s most advanced cars.
Roadmap into the future
A global scale simulator for autonomous vehicles
High-speed processing lines are a key feature in many consumer-goods manufacturing facilities....
Supply chain sustainability is the management of environmental, social and economic impacts, and the encouragement of good governance practices, throughout the lifecycles of goods and services.
Predictive solution to improve machine uptime
In this era of digitalisation and smart technologies, the use of autonomous vehicles as a mode of transport is not a question of 'if' but 'when'. Although the moon-shot promise of complete autonomous mobility by 2020 remains elusive, growing investments by the transportation industry into research and development of autonomous technology have shown promising results – results that can be repurposed to more predictable and constrained environments, such as distribution centre operations.
Model-based system engineering (MBSE) is a methodology to manage complexity...
A Remote Asset-Monitoring Solution
Ensuring trustworthy connected industry experience
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