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OEE
1,212
Achieving 100% productivity of equipment on the manufacturing factory floor is nearly impossible. This is why calculating the overall equipment effectiveness (OEE) is crucial. OEE can enable manufacturers to improve processes, consistency, quality...
Get! Set! Smart!
376
The next industrial revolution is already here. The Internet of Things (IoT) is the answer to the question on what could come next after automated machines and smart computers. The manufacturing industry is at the forefront of adopting IoT, far...
AI
2,092
Manufacturing is an area where the incorporation of different parts of AI is taking place. AI encompasses a range of technologies that are learned over time, as they are exposed to more data. AI has brought a new dimension which helps analyze data,...
Transport Industries
385
Automation with AI is a transformation of transportation within the city. AI also can be used to help predict maintenance events and diagonise problems. A mechanic can use data from sensors in the vehicle to make a diagnosis. 
Industries
2,011
Blockchain is the technology that underlies cryptocurrencies like bitcoin and Ethereum. It records transactions on a public, distributed ledger and gets rid of the need for a third party in most cases. The technology is touted as faster and more...
Automation
2,155
AI and Automation, the terms that bring excitement and fear simultaneously on the face of any ma
cobots
734
Organizations, today, are to adopting new innovative technologies to stay ahead of the competition. One such technology is collaborative robots (cobots), which help manufactures learn about the benefits of sharing the work space by humans and robots...
IoT
617
The Industrial Internet of Things (IIoT) encourages work toward developing more sophisticated technologies in order to transform the manufacturing process and computerize and automate it. The trend is popularly described as Industry 4.0, the fourth...
Big Data Analytics in Manufacturing
1,451
Today, data offers fresh multidimensional capabilities and broader horizons to manufacturers. Big Data solutions enable an altogether new dimension of research and trend analysis. Enhancing customer experience by predicting events, risk management,...
Hybrid Cloud Automation
487

May 22, 2019

Hybrid Cloud Automation

Mohammedamir Khan Senior Manager

This blog talks about the need for AI-based “hybrid-cloud automation” to ensure repetitive and manual jobs performed in the data centers are effectively put into practice. In today’s fast-paced and challenging environments, automation is a key ask...
Hybrid Cloud
706

May 21, 2019

Hybrid cloud target operating model

Kapil Taneja Associate General Manager, Hybrid Cloud Services

A Target Operating Model defines the “to be state” for IT organization that helps enterprises to adapt cloud strategy and covers best practices across people, process & technology, bringing everyone on the same page promoting a sense of common...
Industries
2,011
Blockchain is the technology that underlies cryptocurrencies like bitcoin and Ethereum. It records transactions on a public, distributed ledger and gets rid of the need for a third party in most cases. The technology is touted as faster and more...
Big Data Analytics in Manufacturing
1,451
Today, data offers fresh multidimensional capabilities and broader horizons to manufacturers. Big Data solutions enable an altogether new dimension of research and trend analysis. Enhancing customer experience by predicting events, risk management,...
Infusing Cultural Intelligence
2,269

Oct 17, 2018

Infusing Cultural Intelligence in Analytics to Drive Customer Centricity

David Sogn Associate Vice President – Digital & Analytics

Today, data offers fresh multidimensional capabilities and broader horizons to manufacturers. Big Data solutions enable an altogether new dimension of research and trend analysis. Enhancing customer experience by predicting events, risk management,...
containerized environments
388
This blog describes technology shift, fundamental changes happening in the field of monitoring, major considerations to be taken for selecting a monitoring solution and the need for full stack monitoring in Containerized Environments. It also talks...
Aerospace
1,670

Jul 13, 2017

SAP S/4HANA for Aerospace & Defense: A Reality Check

Roy.T.Davis Industry Principal, Aerospace & Defense

S/4HANA is not a mere technical upgrade or new ERP package delivering incremental gains over its predecessor. SAP has positioned it as the digital core of the 21st century enterprise that can help organizations simplify workflows, data models and...
Smart Equipment Maintenance
261
Organizations in the mining, oil and gas, and natural resources sectors are under constant pressure to maintain production uptime. With market volatility in the wake of the COVID-19 pandemic, organizations are heavily interdependent on global supply...
OEE
1,212
Achieving 100% productivity of equipment on the manufacturing factory floor is nearly impossible. This is why calculating the overall equipment effectiveness (OEE) is crucial. OEE can enable manufacturers to improve processes, consistency, quality...

Get! Set! Smart! - Importance of IoT in the manufacturing world
Pujitha Bandi - TECHNICAL SPECIALIST | November 20, 2018
376 Views

The next industrial revolution is already here. The Internet of Things (IoT) is the answer to the question on what could come next after automated machines and smart computers. The manufacturing industry is at the forefront of adopting IoT, far ahead of other industries. The fourth industrial revolution has Industrial IoT (IIoT) as the backbone, enabling machines to take care of themselves. It is difficult to fathom the scope and size of the changes this revolution can bring. 

IIoT helps manufacturing companies to get real-time visibility into the state of their machinery, the quality of material being processed, the number of hours the machine was operating, and fuel utilization. Machine-to-machine (M2M) interactions can also be made possible when IIoT is implemented. 

This blog post lists use cases, including in manufacturing operations and asset management, among others. It also discusses the challenges to be addressed while adopting IIoT. 


Manufacturing and Artificial Intelligence
Pradeep Verma - GROUP MANAGER | November 15, 2018
2092 Views

Manufacturing is an area where the incorporation of different parts of AI is taking place. AI encompasses a range of technologies that are learned over time, as they are exposed to more data. AI has brought a new dimension which helps analyze data, learn from it, and then make decisions or provide output.  
There is also no question that AI beholds the key to future success and growth in manufacturing. Engineering and R&D face major challenges – productivity, efficiency, budget constraints, and number of designs that can be considered. To overcome these, design goals, parameters for materials, manufacturing methods, and other details can be incorporated into the software which works on all possible combination of these input variables and suggested designs. These are further improved by each iteration, since ML comes into play. However, there is a long way to go for full adaption and the vision to be fully realized. 


AI Transformation in Transport Industry
Jegan Umapathy - Senior Consultant | November 13, 2018
385 Views

Automation with AI is a transformation of transportation within the city. AI also can be used to help predict maintenance events and diagonise problems. A mechanic can use data from sensors in the vehicle to make a diagnosis.