Type to SearchView Tags

Category blogs - Featured

Blog Category Listing

AI
1,723
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
339
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
1,854
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
1,770
AI and Automation, the terms that bring excitement and fear simultaneously on the face of any ma
cobots
606
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
563
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
1,342
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
2,090

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,...
Evolution
716

Oct 16, 2018

Evolution of Manufacturing Enterpises and Industry 4.0

Arindam Sen Director, Manufacturing Solutions

Industry 4.0 manufacturing framework has been conceptualized to take the idea of extended enterprise ahead. It breaks the silos within the organization and with the help of cyber physical systems, it takes the collaboration activity and visibility...
Need-for-Cold-Chain-Monitoring-in-Healthcare
1,436
Most of the pharmaceutical products like vaccines, serums, etc. are temperature-sensitive and require special handling once manufactured.
Cold Chain Logistics
1,328

Mar 09, 2015

Cold Chain Logistics

Krishna Kumar Ramamoorthy Senior Manager

Need of new age technology for ULD management 
1,302
Unit Load devices are increasingly being used by the air tranportation Industry , however the cost of maintaince and repair is very high , However new technolgy is able to assit in maintace as well optimal usage .
DevOps for Banking
1,322

Mar 31, 2016

Why DevOps is Important for Banks? - II

Santosh Kumar Head – Fintech innovation

This is in continuation to my previous blog on Why Devops is important for Banks
Cloud
879
The energy and utilities industry for several decades has been performing the stereotypes. It has little to do with strategies of winning over competition and customers. All and sundry are vocal about the challenges which we are conscious about;...
The Fundamental Review of Trading Book
746

Jan 02, 2017

The Fundamental Review of Trading Book

Deepti Chand Senior Business Manager

FRTB will impact banks and financial institutions across functions. These changes will affect business models, process systems, and infrastructure. Banks will be expected to upgrade their systems and infrastructure in preparation for the changes,...
NPS
1,234
Most people today want to start planning for their retirement life in their early 30s. But the pity is most of them are getting lost in the numerous choices being offered by various pension providers. And many land up with very costly products,...
Programmatic Buying
945
TV advertising is scarce and hence is sold at a premium cost. But due to increasing audience fragmentation, buyers are beginning to depend on optimized and automated processes. Programmatic Advertisement is the solution that delivers more options...
Cold chain
1,362
The global IT spending in cold chain logistics market are now increasing at tremendous rate Operative management of temperature-sensitive products ,Stringent regulatory and compliance norms and the need to enhance connectivity and reduce energy...

The California Customer Privacy Act (CCPA)
Prakash Menon - AVP & Industry Principal - Utilities | April 9, 2019
396 Views

California’s new, landmark privacy law “The California Consumer Privacy Act” (CCPA), was unanimously passed by California lawmakers and signed into law by the Governor on June 28th, 2018. It gives California consumers unprecedented personal data protections and sets the tone for similar legislation in other states. This is based on the recent data breaches, and the negative public reaction to them, have underscored the low tolerance consumers have for the perceived misuse of their data, especially as they are constantly being asked to share more and more of it. Governments worldwide are responding to the growing calls for legislation around the protection of personal data. This would require significant changes to their data, information management and information systems for companies dealing in personal data.


Artificial Intelligence in Tech Industry
Sandip Bhattacharya - ASSOCIATE VICE PRESIDENT SAP Practice | April 8, 2019
255 Views

There are many concepts within the domain of artificial intelligence (AI), including machine learning (ML), deep learning, neural networks, natural learning processing (NLP), virtual reality (VR), Augmented Reality (AR), LSTM, and a few others. All of these deal with a vast amount of data in various shapes and forms - sound, image, video, electrical pulses, temperature, pH values, viscosity, biome markers, structured and unstructured data, and so on. Various techniques (like modeling) are used to process such data or a combination thereof using oversimplified as learning and scoring. AI is enabling facial recognition on your phone. Conversational AI is reducing the tactile footprint of human interaction, creating increased “naturalness” in ever increasing user surface area. Advancements in AI is transferring cognitive burden from user to the device. We are experiencing AI every day in some shape or form.

Edge computing puts low-level compute power in front of end devices, rather than sending all the data to a centralized hub. Instead of sending terabytes of data generated by an F1 car to a central server, each device (like tire pressure sensor) has small compute capacity and sends only relevant data to the next sensor or the central server. LSTM, on the other hand, handles large chunks of data by breaking into smaller relevant pieces with the ability to forget and pass-on.


Role of IoT and Data Mining in the Tech Industry
Saravana Nallakamu - SAP Digital CX Practice Lead – North America | April 8, 2019
721 Views

The Internet of Things (IoT) is the network connecting the world of tangibles to that of the intangibles, that is, a network of physical objects connected to the software cloud. With the increasing popularity of IoT, new solutions are designed using IoT which have an overwhelming amount of data pouring from all directions. Data mining algorithms are being developed to tackle these problems. With the smartphone revolution, app developers needed a smartphone platform like iOS and Android created by Apple and Google. Similarly, in the case of IoT, tech giants have been expected to set the protocols, infrastructure, and an established framework for the future development of IoT and data mining techniques.