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  • Apr 15, 2020
    The Financial Brand

    After COVID-19, banking will be much different than it was pre-pandemic. The change in the way people bank, the future of work, the use of modern technology and the value of brands will all depend greatly on the time it takes to settle on a 'new normal'. A look into the future provides a good foundation for what needs to be done today.

  • Apr 9, 2020
    The Economic Times

    Tata Consultancy Serivces, Cognizant Technology Solutions and Persistent Systems have emerged on the frontlines in the battle to contain the coronavirus outbreak. The IT services providers are helping governments as well as drug developers identify new molecules to combat the pandemic, create simulations on how the virus spreads and build digital tools for clinical trials.

  • Apr 6, 2020
    Telecoms.com

    The rollout of 5G has been met with an element of scepticism. There are questions around whether the technology will deliver on expectations, concerns around security for both businesses and consumers and, although not proven, worries about potential health risks. Whatever reservations people may have, the fifth generation of cellular technology is upon us, bringing with it an abundance of opportunity for businesses to capitalise on increased data speed and potential new revenue-generating models as well as benefits for society at large.

  • Mar 27, 2020
    Reuters

    Cognizant Technology Solutions Corp will pay an extra 25% of base pay to some employees in India and the Philippines as a majority of its offshore workforce work from home amid the coronavirus pandemic, taking on extra work, Chief Executive Officer Brian Humphries said.

  • Mar 25, 2020
    Financial Derivative

    Many banks and other financial services institutions (FIs) are beginning to recognise the benefits of AI-driven solutions as a way to get ahead in the market and challenge the competition. Amongst many other benefits, the technology enables organisations to offer hyper-personalised customer experience, dramatically improve internal decision making, and drive operational efficiency. However, many businesses are struggling to move beyond the experimental phase and reach actual AI deployment. It is those organisations that are at risk of being left behind.