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Virtual Assistant
445
Virtual assistants provide personalized aid by answering day-to-day queries about specific conditions and medications, providing instructions, and making recommendations based on customers’ data. The consumers are also well connected by integrating...
Emerging Startups
301
In the recent past, a number of healthcare blockchain start-ups have emerged. These start-ups have found themselves a place in  the healthcare space; for instance, PokitDok and Patientory which focus  on the EMR space and Gem which focuses...
A Peek into Augmented Reality
433

Jun 18, 2018

A Peek into Augmented Reality

Arindam Sen Director, Manufacturing Solutions

Augmented reality as a technology brings about a digital transformation in the physical world through images, text, and 3D models. An important aspect of AR is to superimpose the information which it collects from an IoT device on the same device in...
Digital Twin
1,647
One of Gartner’s Top 10 Strategic Technology Trends for 2017, digital twins aim to transform the virtual landscape. Many research firms are optimistic about its development, predicting that by 2018, companies who will invest in digital twin...
All Script
453

Jun 11, 2018

Allscripts' acquisition of HealthGrid

Himanshukumar Singh Global Engagement Manager

The blog examines the following aspects of Allscripts’ acquisition of HealthGrid:
What does this deal mean to Allscripts and how it is going to foster Allscripts’ market position in healthcare industry? How this deal would impact Allscripts’...
Tech Giants
171

Jun 11, 2018

Tech Giants Foray into Healthcare Space

Manmanth Kumar Senior Management Trainee

Healthcare spending is projected to rise by 5.3 percent in 2018. The healthcare spending, according to the CMS, was $3.5 B in 2017. Moreover, CMS projections indicate that the average yearly increase in spending will be around 5.5% and that the...
LSH
387
Healthcare, as an industry, has always been relatively resistant to disruptive changes, bogged down as it is by regulatory barriers and its own limited comfort with the latest innovations in technology. This has rendered healthcare a laggard in...
WBEM
560

May 07, 2018

Web Based Enterprise Management

Sachin Sharma Technical Manager

WBEM being  a Set of Management and Internet Standard technologies unlike its predecessor which are protocols. It helps WBEM to be more protractible and hence simplify and promote the development of non-aligned platforms, tools, changeable...
Security
544
The existing challenges of legacy systems and siloed databases, it is high time for airlines to take the first steps toward compliance and start identifying business related data risks, as having a strategy roadmap in place is several times better...
NPS
1,116
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,...
Customer Contact Center Automation
1,439
The challenges for contact centers are immense. However contact centers of today can overcome these challenges, provided they stay ahead of the innovation curve and evolve to stay relevant with time. The key is to make the best use of both human...
AR
381

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...
Cold chain
1,203
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...
5 Reasons Why: "AI"
672
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...
Utilities Influence
135

Jul 03, 2019

How Can Utilities Influence its customer / impact the life style

Prakash Menon AVP & Industry Principal - Utilities

The E&U industry is shifting gears, from complex customer information management systems to customer engagement platforms. E&U companies are eager to reap the benefits of the environmental movement and this enthusiasm is, in turn, shaping...
Multichannel
714
The future of any customer-centric organization is now dependent on its capability to measure consumer reactions across touchpoints. This blog explores the marketers' conundrum in a multichannel environment and provides the success blueprint.
Energy Saver
203
It’s all about shifting your energy use to take advantage of lower rates especially at night and weekends to drive positive corporate, customer, and environmental benefits utilizing smart energy infrastructure. It will give all residential customers...
Functioning of an Enterprise - Planning & Execution
3,094

Aug 10, 2016

Decoding Technology for S&OP Strategy and Execution

Arindam Sen Director, Manufacturing Solutions

The functioning of an enterprise begins with the strategic planning process. Post the strategic planning exercise every organization goes through the Sales and Operations Planning (S&OP) process. Read this blog to this to find out the importance...

IoT’s Importance in Manufacturing
Ankita Singh - TECHNICAL LEAD | October 30, 2018
489 Views

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 industrial revolution, or simply IIoT. 
IIoT is part of a larger concept, the Internet of Things. It evolved after three industrial revolutions. The first was the introduction of steam to generate energy artificially. The second industrial revolution saw the introduction of electricity, as part of which machines were decentralized. The third industrial revolution witnessed the introduction of computers. Machines that are controlled by computers had higher precision. 
The fourth industrial revolution is all about interlinking machines so that they can communicate with each other wirelessly to improve flexibility and resource-friendly mass production. 
The IIoT strategy involves collating data from various systems and applying analytics to bolster decision-making. Predictive analytics can, therefore, alter manufacturing processes so that they become automated and proactive. 
Apart from these, this blog post also lists the key use cases of IIoT.


Big Data Analytics in Manufacturing
Vikash Kumar | October 24, 2018
1130 Views

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, and understanding the extended value chain has never been this easy for manufacturing companies. 
Big Data solutions have the potential to uncover hidden patterns in order to improve operational efficiency, shorten downtimes, enable anticipation of order lead times, and drive more effective materials purchasing. Manufacturers now have the tools to get a 360-degree view of operations for more robust decision-making. 
Big Data methodologies have been able to address many of the challenges the manufacturing industry faces. It’s become easier for them to cater to evolving customer demands and manage mass customization of products. 
There are several advantages of deploying Big Data analytics, including improved product accuracy, quality, and production, faster integration of IT in manufacturing and operational systems, enhanced visibility into quality levels, and customizing products without impact on production. 
The Big Data solutions hold immense value for manufacturers. This blog post lists use cases and keys to using Big Data analytics successfully. 


Infusing Cultural Intelligence in Analytics to Drive Customer Centricity
David Sogn - Global Data Science Lead, Digital & Analytics | October 17, 2018
1858 Views

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, and understanding the extended value chain has never been this easy for manufacturing companies. 
Big Data solutions have the potential to uncover hidden patterns in order to improve operational efficiency, shorten downtimes, enable anticipation of order lead times, and drive more effective materials purchasing. Manufacturers now have the tools to get a 360-degree view of operations for more robust decision-making. 
Big Data methodologies have been able to address many of the challenges the manufacturing industry faces. It’s become easier for them to cater to evolving customer demands and manage mass customization of products. 

There are several advantages of deploying Big Data analytics, including improved product accuracy, quality, and production, faster integration of IT in manufacturing and operational systems, enhanced visibility into quality levels, and customizing products without impact on production. 

The Big Data solutions hold immense value for manufacturers. This blog post lists use cases and keys to using Big Data analytics successfully. 


Evolution of Manufacturing Enterpises and Industry 4.0
Arindam Sen - Director, Manufacturing Solutions | October 16, 2018
609 Views

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 to a very high level, including OEM and its ecosystem which consists of multilevel partners. Smart manufacturing Industry 4.0 comprises the following components — logistics visibility, integrated planning and execution, procurement 4.0, spare parts management, smart warehousing, autonomous and B2C logistics, and prescriptive supply chain analytics. 


Application of Prescriptive Analytics in Manufacturing Value Chain
Arindam Sen - Director, Manufacturing Solutions | October 15, 2018
1297 Views

Today’s manufacturing environment is highly dynamic and complex. It consists of various stakeholders like multiple suppliers and partners, multiple distribution channels, multiple fulfillment partners, multiple customer types, etc. Decisions have to be taken on business performance and overall supply chain, which should be very critical for the organization. Analytics will help take these decisions for manufacturing organizations.


This Is Why Many Digital Transformation Programs Fail
Rohit Sood - Solution Director, HCL Technologies | October 11, 2018
139 Views

Of late, there has been a massive shift in focus from building products in isolation to putting the ‘customer’ at the centre and designing products and services keeping in mind customer journeys and their preferences. Organisations are becoming more agile and flexible in adopting new business models, business processes and technologies, while also ensuring the best quality and a constant improvement in customer experience scores. One of the ways organisations are adopting these changes is by embracing digital platforms and embarking on what is called a ‘digital transformation’ journey.


Agile Digital Transformation
Ahmed Mithani - Sr. Director Customer Success | October 9, 2018
636 Views

Digital Transformation has been the new buzz for several years that encompasses a spectrum from simply moving processes to mobile platforms, to business process automation (RPA), to changing complete business models, channels, products, data monetization, and everything in between. Each organization’s position at the start of the digital transformation journey is different. Furthermore, their destinations may also differ.


Flourishing in the Age of Amazon: How can Retailers Reinvent themselves to Stay Relevant
Vijay Verma - Sr. Vice President & Business Head – RCPG | August 28, 2018
311 Views

Mainstream retail is dead, or so the doomsday sayers would like everyone to believe. As mobile apps and ecommerce keep gaining traction worldwide in an era of on-demand consumption, traditional brick-and-mortar chains have no future, critics argue. To drive home their point, they cite the growing dominance of Amazon, the U.S. e-commerce pioneer that continues to expand aggressively through a relentless focus on innovation and customer experience.

So, is Amazon the big Godzilla that will gobble up everyone on its way to global supremacy? Is there no way conventional retailers can fight back and remain relevant in a fast-changing marketplace? Of course, not. Retailers, I believe, can indeed rebound from the structural challenges they are grappling with today, and retell their story to discerning, digitally empowered customers in a persuasive manner. For inspiration, retailers need to only look at the success stories of marquee consumer brands such as Apple and Nike that have retained their unique value propositions by continuously reimagining the customer experience.


Breaking Barriers between Consumer Product Goods and Retail: An Emerging Battle to Grab Consumer Mindshare
Shiva Mathur - Vice President -Retail CPG | August 28, 2018
363 Views

Until a few years ago, the retail industry was a fairly straightforward one. Consumer packaged goods (CPG) companies manufactured and distributed products and retailers finally sold them to end customers. Relationships between consumers and the parties behind the retailers were unheard of, and whatever the retailers communicated to the users had to be taken at face value.

But now, things have changed dramatically. Thanks to the consumerization of services and expectations, and also due to the rise of always-on connectivity in the manufacturing process and supply chain, old boundaries are vanishing. Everyone in the value chain can talk to each other and find ways to cut down on time and costs. Today, retailers have access to smart manufacturing technologies that enable them to produce and sell their own chain of products on the same shelves as historical products. On the other hand, CPG brands can just as easily adopt e-commerce technologies and establish their independent online and offline distribution channels to reach users directly. 


Retailers & Consumer Brands: Emerging Opportunities for Data Collaboration
Abhishek Kalra - Solution Director, eCommerce, Omnichannel & Digital | Retail & CPG Industries | August 9, 2018
530 Views

While retailers want to win with predictive analytics leveraging Big Data, consumer goods companies are gradually driving direct relationships with the consumers.