PUBLISHED IN INDIAN STRATEGIC STUDIES, FEBRUARY 17, 2017

Prediction is that by 2019, IoT will be the world’s largest device market—double the size of the smartphone, PC, tablet, connected car, and the wearable market combined. There will be reinventions in business models, helping them save millions of dollars in the next decade as the trend comes closer to reality.

PUBLISHED IN GEO SPATIAL WORLD, MARCH 15, 2017

In banking, AI and machine learning techniques can model current real-time transactions, and deliver predictive models of transactions based on attributes such as their likelihood of being fraudulent. Today, banks need to spot fraudulent and money laundering activities before the money moves. By leveraging AI and worldwide databases of addresses, names across cultures and geographies, banks can accurately find, link and visualize customer information. Machine learning can further be applied to connect relations between different customers, timelines of when and where the transactions took place, and eventually graphs of money use and cash flow patterns.

PUBLISHED IN rediff.com, SEPTEMBER 13, 2017

Harnessing insights from data using machine learning (ML) can help marketers get deeper insights about who their customers are, where they go, what they do, their interests, what kind of ads should be targeted to them to create contextual and customised campaigns.

PUBLISHED IN CIOL, CYBERMEDIA, JULY 2017

The hallmark of Human-Machine Interaction has been marked by the constant endeavor to make machine interactions more ‘human-like’. HMI has come a long way from its ‘command prompt’ days where the interaction was machine-centric to touch screens where users interacted with machines using natural gestures. Today, machines have the capability to understand voice (Natural Language Processing) and sight (Image and Vision Computing) – the two senses which humans use most for communication.

This has been made possible by advances in artificial intelligence (AI) and deep learning that enable machines to interpret, decipher and contextualise human inputs into machine understandable and readable formats.

PUBLISHED IN INC42, OCTOBER 7, 2017

Hackathons on open innovation platforms have become popular lately. Several Fortune 500 companies are leveraging developer communities to build solutions and improve existing processes. Businesses are using the principles of hackathons to break through organisational inertia by offering short intense bursts of creativity and problem-solving in a high energy atmosphere. In a hackathon environment, innovation can be accelerated with excellent results.

PUBLISHED IN BUSINESSWORLD, APRIL 21, 2018

Artificial intelligence doesn't have to be a technology understood and utilized only by large organizations. In fact, AI can help entrepreneurs and small business owners create lean and successful operations by applying AI technology to their sales, marketing, customer service, and other day-to-day operations. Depending on the size of business, AI can disrupt, innovate, enhance, and in many cases totally transform a company.

PUBLISHED IN FIRSTPOST, APRIL 4, 2018

A few years ago, if you were a small business looking to grow, you would have been at a disadvantage when it came to technology-enabled transformation, due to high costs and limited options. Today, the story is completely different. With the rise of cloud-based SaaS applications, technologies that were reserved for businesses with big budgets are now available to small and medium businesses (SMBs) at a fraction of the cost. This makes digital technologies far more accessible and scalable for SMBs. In addition, capabilities available through these applications have also increased exponentially.

PUBLISHED IN INC42, MAY 11, 2018

When it comes to creating truly international organizations, only a handful of companies have been successful in translating their culture into new markets. Successful international organizations are not only able to replicate the core culture that defines the ethos of the organization but also adapt to local sensibilities, making it relevant for its people.

PUBLISHED IN BUSINESS STANDARD, MARCH 8, 2018

The pace of change we are witnessing with advancements in artificial intelligence (AI) adoption is incredible. We are only just beginning to utilise AI in mainstream industries like banking and financial services. AI is pivoting traditional banking from the very core—how we bank, invest and get insured. There is a lot of value that AI is providing to large enterprises as well as small and medium businesses (SMBs) in the financial sector. And the future seems bright.

PUBLISHED IN YOURSTORY, AUGUST 18, 2014

Pitney Bowes was started in 1920 with the idea to commercialize stamps and the digital stamp franking was invented. From introducing the world’s first postage meter to now in the times of Facebook, eBay and Twitter - Pitney Bowes has come a long way by virtue of continuous innovation in changing times.

PUBLISHED IN TIMESJOBS, SEPTEMBER 13, 2016

It's not just common knowledge but backed by scientific data that a company's innovation capacity comes down to its talent pool and the organisation's commitment to enhancing the knowledge and competencies of their workforce one individual at a time. With advancements in the field of technology, increased globalisation and disintegrating market boundaries, a company's ability tap into value-creating ideas of its employees is at its peak, making talent the most important pillar for creating and executing an innovation strategy. All historic data and studies point towards a direct correlation between an organisation's success and its efforts to build its people.

PUBLISHED IN YOURSTORY, AUGUST 18, 2014

E-Commerce companies have become one of the fastest adopters of Big Data owing to the constitutive analytical ability that drives key decisions for them. The fast paced e-commerce environment requires related companies to make decisions based on real time data, hence big data plays a critical role for these companies that anyway function within razor thin margins.