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With the ever-increasing number of consumer worldwide, the demand for varied goods and services with the lesser hassle is increasing rapidly. This continuous increase in the demand is largely favouring the startup culture in India and other countries, because of which a significant number of youngsters are opting for the risky entrepreneurship path. As of now, the Economic Survey of 2016 has recorded the registration of around 19000 startups in India. If we talk about the global data, the number of startups is somewhere around 472 million, with 100 million new startups adding up to the list annually.

Sentiment, Sentiment Analysis, Sentiment Tracking have become a hot topic with multiple 'AI' startups focussing on providing sentiment driven insights to enterprises. The number of such startups points to the potential that enterprises see in Sentiment analysis and the impact it has on how the enterprise plans, operates, executes and delivers value. Sentiment Analysis is process of extracting sentiment (emotion or feelings) captured in signals that are embedded in various types of media such as print, text, audio, video, images etc. For example, if a reporter submits a report on a particular enterprise, the sentiment embedded in the article can point to how excited, worried, upbeat or impassive they might are about the enterprise. This sentiment can be then used by the enterprise to understand the perception about the enterprise that the external market carries and whether that perception is improving, degrading or staying unchanged. This insight can be used by the enterprise to improve their go to market plans, change their PR strategy or even go deeper and change their product strategy. Sentiment Analysis Is Not New The tracking, measurement and use of Sentiment is not a new scenario. Enterprises have been leveraging the output of sentiment analysis for a long time. User surveys, focus groups, market research, customer interviews etc. are all examples of generating data to perform and track sentiment. Similarly, influencer marketing through association with influencers or events or organizations with a certain perception or sentiment associated with them is a common technique to improve the enterprise's own sentiment. Sentiment Analysis and strategizing based on the analysis is a common and required function for any enterprise. Sentiment Analysis Using Artificial Intelligence With the advent of Artificial Intelligence (AI), enterprises now have another technique in their kitty to understand how they are perceived in the market and how that perception i

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It's not too late to jump on to the Blockchains trend. We often hear from customers whether it is too late to get behind blockchain. The number of startups in this space is growing rapidly and the number of large ISVs and SIs providing blockchain capability and expertise is also increasing. However, the market and the technology space for blockchains is far from saturated, settled or stable. Here are three reasons why now is a good time to get into blockchains Early Mover Advantage Blockchains are bound to disrupt fundamentally how business is done. By enabling trust in an otherwise trust-deficient environment, blockchains enable transactions between two or more enterprises who otherwise might not know about each other. Blockchains offer solutions to several common problems faced by the enterprise such as Digital Identity, Secure Data Storage, Secure Data Sharing, Distributed Ledger, Distributed Databases etc. Blockchains are based on strong cryptographic standards based in mathematics, cryptography, and encryption. Building blockchains as a core competency requires a deep understanding of the mathematics behind it and an internal process for deploying, managing and developing on top of the blockchain. Early mover advantage can be generated by taking small steps in this area and targeting simpler scenarios initially. Nascent Technology It is going to take another few iterations of the blockchain technology before it can truly be enterprise-ready. There is a lot of ongoing work to make blockchains more secure, scalable and performant. Innovations are constantly being made and added to the core blockchain technology that is constantly increasing the type and complexity of applications that it can support. As the technology matures, enterprises can be well suited and ready to leverage the advancements by building a core competency in not only the blockchain technology but by becoming a member of the blockchain community, standards and keeping up to date with th