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AR
356

Jul 03, 2019

The role of AR in Shaping the Future of Life Sciences

Anil Tickoo Associate Vice President, Life Sciences and Healthcare

Life sciences industry is looking for compelling use cases where AR can transform patient/customer engagement, make treatment delivery easier for healthcare professionals, and aid advanced research in pharmaceuticals. With its ability to accurately...
Teclo Cloud
134
Cloud, network slicing, and edge computing technologies and processes are changing the way that it is being put to use for service providers. It has to be admitted that with different purposes, 5G performance expectations are found wanting with...
AI
774
The future of AI is quite promising. It is still a new kid on the block, whom we need to feed, nurture, groom, care, motivate and evolve. The debate on explainability and interpretability will be noisier in coming days. Its preferable to take a mid-...
Hybrid Cloud Automation
176

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...
IoT Device Management
1,123
With a plethora of connected devices, the drive to support diverse use cases across industrial IoT platform scope needs to go beyond device management functions (Onboarding, provisioning, monitoring, and maintaining).  A comprehensive unified...
267
The fear that humans are having about their jobs snatched away by artificial intelligence (AI) is misplaced, according to Kalyan Kumar, Corporate Vice President and CTO, HCL Technologies, a global IT services company. The debate continues! Rather...
AI
846

Apr 26, 2019

What is Artificial Intelligence

Kalyan Kumar B CVP & CTO, HCL Technologies

In this guide, seven CTOs and AI experts provide their view on what is artificial intelligence (AI); and how they define the technology in the context of business. As part of Information Age’s Artificial Intelligence Month, we are providing three...
Data Mining
194

Apr 08, 2019

Artificial Intelligence in Tech Industry

Sandip Bhattacharya ASSOCIATE VICE PRESIDENT

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...
Data Mining
433

Apr 08, 2019

Role of IoT and Data Mining in the Tech Industry

Saravana Nallakamu SAP Digital CX Practice Lead

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...
Digital Customer
227
The advent of smartphones, smart appliances, artificial intelligence (AI), and machine learning (ML)-enabled cars has caused a shift in the way customers experience services. With the role of technology in the lives of customers increasing every day...
Accelarate
1,801
Being digital is no longer a luxury, its basic need of the hour. As more and more organizations become digital, large volume of data gets generated from customers, operations, manufacturing, supply chain etc. Monetizing these data is an absolute...
5G Communication
75
In the first part of this blog “Towards 5G, Artificial neural networks and EDGE computing-Part 1”, we discussed the basic understanding of 5G, EDGE and ANN (Artificial neural networks). In this blog, we will see how 5G along with ANN and edge, can...
AI
774
The future of AI is quite promising. It is still a new kid on the block, whom we need to feed, nurture, groom, care, motivate and evolve. The debate on explainability and interpretability will be noisier in coming days. Its preferable to take a mid-...
The Business Imperative
1,078
As the pace of technological innovation breaks down barriers, the financial services industry needs to prioritise its goals and develop long-term strategies. We are already seeing signs of a certain maturity among CIOs as they weigh in on their...
5 Reasons Why: "AI"
654
The blog lays out the top five reasons why AI acts as a double edged sword for Cyber Security in Financial Services. Written by Sudip Lahiri, Head of Financial Services for Europe, the blog contends that institutions must be careful to look at AI as...
Automation
297
In this blog, Sudip Lahiri, Senior Vice President, and Head Financial Services talk about the wide range of emerging applications of AI and machine learning in the finance sector which are attracting growing attention. As is the case in...
Harnessing
1,070
The adoption of AI will result in agility, flexibility, and lean operations – the hallmarks of a 21st century enterprise. Organizations, in order to thrive in the always-on digital economy, must harness the power of AI.
Rebuilding the Enterprise on a foundation of A.I.
2,813

Jul 11, 2017

Rebuilding the Enterprise on a foundation of A.I.

Kalyan Kumar B CVP & CTO, HCL Technologies

We are excited about the developments and enhancements to our DRYiCE platform. It is now being used by HCL service delivery teams in more than half our customer accounts, help us deliver a higher level of performance and bring greater cost and time...

Explainable Artificial Intelligence - An inflection point in AI Journey
Jayachandran Kizhakootramachandran - Associate Vice President | June 3, 2019
774 Views

The future of AI is quite promising. It is still a new kid on the block, whom we need to feed, nurture, groom, care, motivate and evolve. The debate on explainability and interpretability will be noisier in coming days. Its preferable to take a mid-path among the two schools of thought – black box Vs full explainability. Imperfection and uncertainty are the beauty of the universe and mankind can work around that. Like humans, AI will mature to perceive, learn, abstract and reason. AI is here to stay, and the future is going to be built on AI.


Hybrid Cloud Automation
Mohammedamir Khan - Senior Manager | May 22, 2019
176 Views

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 by almost all the customers.


iCE.X: HCL's Intelligent IoT device management platform to unlock business potential
Rupy Sikka - Vice President, HCL Engineering R&D Services | May 8, 2019
1123 Views

With a plethora of connected devices, the drive to support diverse use cases across industrial IoT platform scope needs to go beyond device management functions (Onboarding, provisioning, monitoring, and maintaining).  A comprehensive unified platform with end-to-end device lifecycle management solution addressing customer experience, operations, and security across industries in a holistic manner is the future of IoT device management platforms.


CTOs must be clear that AI doesn’t replace jobs, it makes them more strategic
Kalyan Kumar B - CVP & CTO, HCL Technologies | April 26, 2019
267 Views

The fear that humans are having about their jobs snatched away by artificial intelligence (AI) is misplaced, according to Kalyan Kumar, Corporate Vice President and CTO, HCL Technologies, a global IT services company. The debate continues!

Rather than allowing employee concerns continue to mount, CTOs should work alongside their counterparts across the wider c-suite to start laying the groundwork for every single human employee to play a more strategic/decision-making role as part of an AI-augmented workforce


What is Artificial Intelligence
Kalyan Kumar B - CVP & CTO, HCL Technologies | April 26, 2019
846 Views

In this guide, seven CTOs and AI experts provide their view on what is artificial intelligence (AI); and how they define the technology in the context of business. As part of Information Age’s Artificial Intelligence Month, we are providing three CTO guides over the coming weeks on artificial intelligence (AI): what it is, the industries most impacted and implementation best practices.


Artificial Intelligence in Tech Industry
Sandip Bhattacharya - ASSOCIATE VICE PRESIDENT SAP Practice | April 8, 2019
194 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
433 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.


Neural Networks: Inception and Insights
Saravana Nallakamu - SAP Digital CX Practice Lead – North America | April 5, 2019
106 Views

The human brain has always been an object of fancy and of fantasy for the scientists of the world. Not just scientists and neurologists, but every human being has, at some point, thought of the infinite mysteries that lie inside their own heads. Technology companies like Google, Adobe, Facebook, and Instagram use this framework widely in their products. A futuristic vision is that a computer should be able to understand and interpret data based on images and videos fed through neural networks. One of the Modular Neural Networks, GAN system, is basically a robot artist that can be trained to create images, videos, etc. that are astoundingly similar to things one sees in real life.


Importance of Digital Customer Experience in Tech Industry
Saravana Nallakamu - SAP Digital CX Practice Lead – North America | April 5, 2019
227 Views

The advent of smartphones, smart appliances, artificial intelligence (AI), and machine learning (ML)-enabled cars has caused a shift in the way customers experience services. With the role of technology in the lives of customers increasing every day, it is safe to say that streamlining business strategies to improve digital customer experience is crucial now more than ever. Digital design and data analytics sectors of a company must work together when it comes to digital customer experience. A few digital experiences can be annoying and sometimes even obnoxious.


Artificial intelligence – Changing the role of medical devices in patient care
Partha Marella - Senior Vice President | March 13, 2019
712 Views

Traditionally, medical devices were restricted to giving a certain set of outputs for a complimentary set of inputs, which would be used as information by doctors to make decisions. The accuracy of decisions would be purely at the professional’s discretion.

But as healthcare becomes more specialized and complex, quality and attention to detail is struggling to keep up with patient requirements.The key to bridging this gap lies in medical technology (Medtech) and how AI, IoT and Analytics can be used to enhance the scope of traditional devices used by both healthcare professionals as well as patients.With intelligence powering Medtech, decision making becomes more certain, preventive care is more achievable, and patient centricity is front and center.