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Airtel and Cisco announce strategic alliance to bring advanced connectivity solutions to enterprise and SMB customers



Airtel to offer Managed SD-WAN and Cisco Webex solutions to Indian enterprises and SMBs

New Delhi, April 15, 2019: Bharti Airtel (“Airtel”), India’s leading telecommunications services provider, and Cisco today announced an alliance to offer advanced networking and connectivity solutions to enterprise and SMB customers in India.

India, which is the fastest growing major economy in the world, is seeing strong growth in demand for next-generation connectivity solutions.  As businesses tap digitization for enhanced agility and growth, this partnership will leverage Airtel’s deep customer relationships and network to offer highly secure and cutting-edge digitization technology from Cisco in India.

As part of the partnership, Airtel will offer Managed Software-Defined Wide Area Network (SD-WAN) services in collaboration with Cisco. Built on the Cisco-Viptela platform, Airtel’s Managed SD-WAN service will provide real-time analytics and in-built security.  This solution will also have a centralized policy, and a management controller that will provide customers with a clear view of data flows across their networks and enable them to optimize data traffic to suit their business needs.  The fully managed, resilient and dynamic central platform will help businesses reduce networking capex and lower migration issues during the transition of applications and data to the Cloud.

Airtel will also offer the Cisco-Webex service as a one-stop destination for all their conferencing and collaboration requirements. With the Webex platform, Airtel customers will be able to collaborate across multiple audio and video platforms and devices, enabling them to connect seamlessly with remote offices, clients, customers, and employees.

Ajay Chitkara, CEO – Airtel Business said, “We are delighted to announce this alliance which further strengthens the deep relationship we have with Cisco. Digital India has opened up a huge residual opportunity to help businesses in their digital transformation journey and achieve the next level of growth. We look forward to working closely with Cisco to bring best-in-class digitization and collaboration solutions to customers and consolidate Airtel’s leadership position in the Indian B2B segment.”

Sameer Garde, President, Cisco India & SAARC said “Airtel is well positioned to offer next-gen digitization solutions to enterprise customers in India and meet the quality of service expectations.  We are excited to partner with Airtel; this not only reinforces our existing relationship but also highlights Airtel’s commitment to offering a flexible, highly secure and reliable digitization and collaboration solutions to their customers.”

Airtel Business serves over 1000 global enterprises, 2000 large and 500,000 medium/small businesses across India. Airtel is India’s leading and most trusted provider of ICT services with a diverse portfolio of services to enterprises, governments, carriers and small and medium business. Along with voice, data, video, and conferencing solutions, Airtel also provides network integration, cybersecurity, IoT, cloud, data centers, managed services, enterprise mobility applications and digital media to enterprises in India and across the world.


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About Bharti Airtel Limited

Bharti Airtel Limited is a leading global telecommunications company with operations in 18 countries across Asia and Africa. Headquartered in New Delhi, India, the company ranks amongst the top 3 mobile service providers globally in terms of subscribers. In India, the company’s product offerings include 2G, 3G and 4G wireless services, mobile commerce, fixed line services, high speed home broadband, DTH, enterprise services including national & international long distance services to carriers. In the rest of the geographies, it offers 2G, 3G, 4G wireless services and mobile commerce. Bharti Airtel had over 403 million customers across its operations at the end of Dec 2018. To know more please visit,


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FSS Launches ‘FSS Voice Commerce’: The Next Wave Of Friction-less Banking



FSS (Financial Software and Systems), a global payments technology company, has launched FSS Voice Commerce, a real-time voice banking platform that offers customers, meaningful, contextual and personalized banking interactions. Enabling banks to deepen customer engagement via conversation-led banking and deliver interactive service experiences to its customers, FSS Voice Commerce is set to take friction-less banking to the next level.

FSS Voice Commerce uses machine-learning language processing techniques for analysis and synthesis of language and speech to deliver personalized service experiences. Furthermore, with ML capabilities embedded into the solution, consumer patterns will begin to emerge and result in insight-led banking and personalized customer experiences. At the backend, FSS Voice Commerce interfaces with any retail banking system to provide real-time information of accounts and balances, thereby enabling delivery of a unified and seamless omni-channel banking experience.

FSS Voice Commerce supports an extensive set of 200 transactions, enabling seamless 24/7 secure access to a broad range of financial banking services such as fund transfers, bill payments, card controls and non-financial transactions such as service requests, like ordering for a cheque book, new credit / debit card and loan request.

Instances of use-cases include:

  • Drive Sales: Based on the recommendation engine and by transaction analysis, banks can craft a personalized offer to customers. E.g. special interest rates for fixed deposits, eligibility for personal loans etc.
  • Customer Support: Instead of customers reaching out to support centres of the banks to raise the services request, the customer can just log in to Alexa to raise the service request which will land on the bank CRM system to facilitate the customer request.
  • Lead Generation: Generate customer interest towards respective banking products/offers/cash backs through an advertisement.

All financial transactions initiated are completely secure. FSS Voice Commerce supports out-of-band multi-factor authentication including one-time passcodes and biometrics, to maintain the integrity of the transaction ecosystem and prevent fraud.

Speaking at the launch, Suresh Rajagopalan, President FSS, Retail Payments, said; “Voice is fast becoming a preferred medium of transaction among digitally connected customers and millennials. FSS Voice Commerce extends an all-encompassing personal assistant that can enable customers to conduct banking transactions as well as shop and make payments. The intersection of voice and commerce will provide banks a powerful new way to embed themselves deeper into their customers’ lives and deliver contextualized services experience tailored to their lifestyle.”

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Manufacturing Industry Resonating with Exponential Technology Acceleration for Growth



The manufacturing industry is centered where the changes are unpredictable due to the unusual process from the industrial age to the information age. The manufacturers that will prove best able to capture value amid this process will be those who can best manage complexity and enhance flexibility.

Maximum count of manufacturing operations, including small and medium-sized businesses and Fortune 500 companies, this post considers the necessity of modern manufacturing operations and the role of software in answering the requirements. The new-age manufacturing operations, where hundreds of individual workers communicate with global supply chains and automated equipment to produce the products we are aware of, is an adaptive and complex system.

The fact releases that the operation is full of decision makers at an intelligence: from the associates tasked with performing the work, to the skilled engineers who compulsorily ensure its continued operations. Each of these decision makers constantly come up with new information from their surroundings and adapts their behavior to attain their objectives. In this sort of complex system, shifting conditions in the operations can have a non-linear impact on production.

How many variables can be solved?

Every manufacturing operation can be refined to a sequence of actions that each add incremental value to a product. Roles like industrial, quality, processing are functioned to try to find the optimum state that balances throughput with market demand while incurring as few operational expenses as possible.

Considering the key insight behind it was in balancing resources evenly over a particular segment of the value chain. The assembly line allowed for maximum throughput while minimizing the possibility of human error by narrowing the scope of any individual’s work. Each worker did more, faster, while simultaneously requiring less training.

Moreover, the assembly line notion of manufacturing works better when the inputs and demands of the system are knowable and static. The most efficient operations are the particularly best-executed system in place.

So where is manufacturing tech going?

Manufacturing tech is escalating at an exponential rate. Moreover, modern manufacturing operation holds a complex functionality. As this industry faces some unusual challenges which arrive in unexpected ways can have non-linear consequences on cost and production. Getting on to understanding the individual parts can create confusion, but, intelligent decision makers can gain new information and can constantly work on improvising their solution in response to their shifting environment.

To manage the complexity of modern manufacturing system, a new-age software has introduced for better equipping the people in the center of the manufacturing operations. However, manufacturing engineers are allowed the ability to execute solutions to problems and measure their impact.

In this current scenario, the manufacturers that have the ability to manage complexity by embracing technologies that encourage decentralized decision making will have a sustained competitive advantage over the industry.

The necessity for a layer of connective tissue on the shop floor to manage the capture and dissemination of critical production data is not a novel concept. The leading name attributed to this layer in the manufacturer’s IT stack is a Manufacturing Execution System (MES).

Manufacturers adopt an MES with the hope of increasing the efficiency of their operation and better controlling the production process. The vision is a centrally-architected optimized state for manufacturing operation, which is executed top-down.

This system holds an approach to understand and optimize the entirety of the manufacturing operation at the time of design. The complexity is built on a foundation of rigid data models that require a software engineer to understand and navigate.

The changes are unavoidable when these systems are deployed to the shop floor and confront the realities of production. However, these changes have to be promptly managed through the IT team or a third-party software provider and executed by a software engineer who probably has detailed knowledge about manufacturing.

Discussing the process, it is slow, expensive and endless. The day-to-day operation continues to adapt in response to its shifting environment, more changes must follow. The manufacturing engineer tasked with keeping the operation running, it is more effective to revert to paper-based workarounds rather than waiting months to cement a new update to the software solution of choice.

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Support of Big Data Analytics in providing Transformative Banking Experiences



Though the digital revolution came into light during the late 50s, its impact on our daily lives became more evident in the last decade or so. The main reason behind this is the extensive implementation of mobile devices and easier access to the Internet. This implementation has made the path clear for connected devices.

Nowadays, people use many devices on a daily basis and effortlessly change between them while doing different activities. With the above and several other factors like decreased attention span due to information overexposure and accessibility to multiple options to choose any product or service has given rise to a situation where effectively engaging and retaining a customer has become completely vital in making or breaking a business.

So How Would One Do The Right Decisions To Improve His Business?

The term ‘big data’ was first started by Roger Mougalas from O’Reilly Media back in 2005. It indicated to large sets of data which are virtually unfeasible to handle using conventional business intelligence technology. Today, it is supposed that 2.5 quintillion bytes of data are being produced every day and this number will increase more with continuously developing technologies and faster computing speeds.

In 2011 McKinsey published a report titled “Big Data: The next frontier for innovation, competition, and productivity” and the title alone specifies that data is definitely the new one. Countries from all over the world and companies of different sizes are vigorously using big data projects because all this data is capable to improve business operations.

It has been seen that big data analytics is attaining a lot of significance currently. Its amalgamation with businesses helps in adding importance at every probable stage of a sales/user journey because of the 360-degree insights which are able to derive from all the channels (mobile, web, physical locations, social media, etc.) and devices involved. These insights can be utilized to pull, remodel, or even bring innovative proposals that will recover and optimize business models, products, and services.

Big Data In Banking And Finance

Big data can be the key driver for improvement in the banking and finance sector and will assist banks to advance their performance. As per the most recent update (as of 2018) of the ‘Worldwide Semiannual Big Data and Analytics Spending Guide” from IDC, worldwide revenues for big data and business analytics (BDA) solutions is likely to reach $260 billion in 2022 with a compound annual growth rate of 11.9% over the 2017-2022 forecast period.

The banking, discrete manufacturing, process manufacturing, professional services, and federal/central government industries are making the largest venture in big data and business analytics solutions all through the forecast. This inclination confirms that business initiatives driven by actionable insights granted from big data analytics will get success.

Another McKinsey report called “Analytics in banking: Time to realize the value” emphasizes that in some regions, around 65 percent of customers now interact with their banks via multiple digital channels. This often gives rise to overlapping interactions with a particular customer across multiple channels and formats.

Banks now apprehend that it has become essential to bring consistent, relevant, and eventually, delightful banking experiences flawlessly all through numerous channels to hold and maintain customers. In this sector, big data analytics plays a big role in approving the customer’s movements and beliefs in real-time and sending customized offerings at all stages of the user journey.

The Efficient Aspects of Big Data

The 3 defining aspects of big data or more readily known as the 3Vs – the volume of data, variety in the types of data being collected, and velocity in which data is being processed. For banks, this implies that they can control the findings from big data analysis to study spending patterns and spot main channels on which transactions are taking place to appropriately cross-sell products and services to customers which are fragmented based on different user qualities. These findings could also be used for risk appraisal, observance and reporting, customer feedback management, and granting or refusing a loan among others.

IBM says that the current retail and institutional banking customers are more authorized than ever before. Their improved handiness to information indicates that they can judge products in few seconds and make decisions immediately, and mobile apps have fostered this process.

Analytics for app practice is also actively serving banks decide which aspects of their apps are most attractive for users, which bring improvements and updates to address the findings. Today, banks can increase their performance and develop customer preservation by leaps and bounds with bringing personalized, real-time, and value generating offerings

Lloyds and Pindrop – An Example of Technology Progression

For example, Lloyds Banking Group has partnered with a U.S. artificial intelligence (AI) start-up ‘Pindrop’ to use its technology to identify fake phone calls in 2016. Pindrop is a technology which takes into account large amounts of data to know the difference between a legitimate and fraudulent call. It also helps to identify several features of a voice from a phone call such as location, background noise, number history, etc., that can help in creating an audio fingerprint which consequently can be used to emphasize unusual activity and recognize the probable scam.

Now, it is apparent that big data analytics’ role in banks and other businesses will get advanced more with the progression of technology. A large amount of data being analyzed has the possibility to finally change the way we live and carry out our lives. Furthermore, big data analytics will provide a new step in ensuring truly personalized and safe banking experiences and operations.

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