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Year 2020: The year to reskill yourself

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As per a recent study, 54% of the world's workforce will need reskilling and upskilling by 2022. Emerging technologies: RPA, artificial intelligence, data analytics are reshaping how organisations do business, engage with customers, and manage their operations. Gartner predicts 70% of organisations will integrate AI to assist employee productivity by 2021. So, there is a pressing need for global businesses to focus on future skills and talent management. Data-driven culture: A McKinsey survey reveals data-driven organisations are 23 times more likely to acquire customers, six times as likely to retain customers, and 19 times as likely to be profitable.



The Evolution of Work and the AI Ecosystem - Connected World

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Automation and AI (artificial intelligence) will have tremendous impacts on the future workplace and future workers, as well as the future of work in general. McKinsey Global Institute's "Jobs lost, jobs gained: Workforce transitions in a time of automation" report found that about half of all current work activities are automatable using technology that exists and has already been demonstrated. Clearly, this transition will be an impactful one. Some jobs will be displaced as automation grows. Workers will either need to upskill, reskill, or change occupational categories altogether.


We need to reskill the workforce, one person at a lifetime

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To consistently deliver this integrated experience in turn requires a set of foundational capabilities that include technology, data, talent, and insights on value being created - for the learner, the business and all key stakeholders. Working in sync, these capabilities help make the overall learning experience interactive, fun, immersive and personalized. This drives not just the adoption and usage of learner-centric products and services, but also expand their reach and efficacy, at viable economics. Chegg and Pearson are two examples of firms focused on such learner-centric experiences and capabilities.


Infosys Launches Mana – a Knowledge-based Artificial Intelligence Platform - insideBIGDATA

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Infosys (NYSE: INFY), a global leader in consulting, technology, and next-generation services, announced the launch of Infosys Mana, a platform that brings machine learning together with the deep knowledge of an organization, to drive automation and innovation – enabling businesses to continuously reinvent their system landscapes. Mana, with the Infosys Aikido service offerings, dramatically lowers the cost of maintenance for both physical and digital assets; captures the knowledge and know-how of people and fragmented and complex systems; simplifies the continuous renovation of core business processes; and enables businesses to bring new and delightful user experiences leveraging state-of-the-art technology. Over the last 35 years, Infosys has maintained, operated and managed systems with global clients across every industry. Building on this deep experience, Infosys has recognized the need to bring artificial intelligence to the enterprise in a meaningful and purposeful way; in a way that leverages the power of automation for repetitive tasks and frees people to focus on the higher value work, and on breakthrough innovation. Today's AI technologies address part of this with learning and information; Infosys is now bringing this together in a fundamental way with knowledge and understanding of the business and the IT landscape – critical knowledge that is locked inside source code, application silos, maintenance logs, exception tickets and individual employees.