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Enterprise Search Strengthened by Machine Learning By CIOReviewIndia Team

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In a bid to enable its enterprise customers gain better insight into business data, Amazon has launched two artificial intelligence services aimed at helping businesses make sense of business data spread across segments and processes. Usage of Machine Learning has been kept on a pedestal while designing these services. The two services - Contact Lens for Amazon Connect and Amazon Kendra are available for its customers using AWS cloud. The services promise to change how enterprise search is done by incorporating new technological capabilities like Natural Language Processing. Amazon Kendra is a plug and play service and does not require expertise in machine learning for the business user.


Artificial Intelligence (AI) as an Advanced CRM Tool Disrupting Sales Technology Market By CIOReviewIndia Team

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Technology driven world is what we are living in today, but the question is to what extent these technologies can be leveraged and how will it affect the lives of people. Similarly, the technology is considerably changing the way in which brands used to sell their products and services, and how consumers used to buy. Hence, in this fiercely competitive market, it is undoubtedly crucial for businesses to adopt technology to enhance their sales force and bring in efficiency and scalability to seamlessly run operations, and most importantly ensure customer satisfaction, after all, that is what the end goal is for every business in the market. Even customers have numerous opportunities to connect with a brand through online marketing, social media marketing, search engine marketing, mobile marketing and ChatBots, thereby, adding more values to the activities of sales people with other crucial jobs. The technology which is effectively helping businesses to overcome customer's issues which previously were left unaddressed by the Salesforce is Artificial Intelligence (AI) with its driving engine - Machine Learning (ML). This has given new meaning to CRM which previously had been totally dominated by Salesforce.


CIOs looking to make the best use of Digital Transformation By CIOReviewIndia Team

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Innovative technologies such as Mobile, Cloud computing, Internet of Things (IoT), Artificial Intelligence (AI), and robots have revolutionized the automation and intelligence of digital technology over the last decade. Similarly, due to the rapid penetration of aforementioned technologies, India digital transformation market generated revenue of $24.5 billion last year, and it is projected to advance at a CAGR of 74.7 per cent during the forecast period (2019–2024), according to Prescient and Strategic (P&S) Intelligence. With overall growth in the information and communication technology (ICT) sector, the country is also expected to increase the rate of digital transformation in the coming years with CIOs looking to make the best use of it, so as to increase productivity, enhance efficiency and improve customer experience. By region, North, South, East, and West are the categories of the digital transformation market in India. Out of which, South India is predicted to be the largest as well as fastest-growing market, registering a CAGR of more than 75.0 per cent in the aforementioned forecast period.


Artificial Intelligence Set To Improve Accuracy and Efficiency of Business Operations By CIOReviewIndia Team

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Artificial Intelligence is considered to be the most remarkable technological advancement among the latest technology innovations. Though the concept of AI has been around for the past few years, its immense capabilities were explored only recently. Enterprises around the world are largely investing into the AI in an attempt to lead the next generation technology revolution with AI powered strategies. AI-enabled chips incorporate AI technology and can act similar to human, process the data just like how a human brain does. Chip manufacturers Intel, Qualcomm NVIDIA, and Advanced Micro Devices have already begun the manufacturing of these specialized chips that helps to speed up the execution of AI-enabled applications.