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Microsoft in Business Blogs: Business transformation

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Introducing the Microsoft Digital Transformation Showcase 

New experience features real solutions for U.S. state and local governments In late April, Microsoft CEO Satya Nadella stated: “We’ve seen two years’ worth of digital transformation in two months … We are working alongside customers every day to help them adapt and stay open for business in a world of remote everything.” Those thoughts directly apply to our efforts to support U. S. state and local governments  —

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Building smarter banking branches with digital twins 

If you’re looking to make your next move toward intelligent banking, here’s an innovation that can help you deliver a more personalized customer experience for your branch clients. A digital twin is a digital replica of physical space, the processes that happen there, and the people moving through that space. It is the instantiation of

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What today’s finance leaders already know about resiliency 

2020 has been a year of adaptation. From February to today, finance organizations worldwide have been forced to revisit their operations, investments, and ideals to still the tide of COVID-19. This season has not been an easy one. Companies of all sizes have seen drastic shifts in sales volumes resulting in significant challenges to companies

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How Microsoft helps insurers thrive during challenging times 

In the lead-up to 2020, insurers were showing great staying power as they rode out an unsettled economy. But with the onset of COVID-19, that turbulence has only gotten more intense. Claims are becoming more frequent and more severe as catastrophic events happen at an increasing rate. Regulatory requirements are changing, and it’s become more

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Microsoft Federal helping agencies respond, recover, reimagine 

Over the past several months, we’ve seen some heroic efforts by our federal government customers to respond to the many COVID-19 impacts that have disrupted work and life in the U.S. and around the world. From the outset, our Microsoft Federal team has partnered with government agencies of all sizes and scopes to continue delivering

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Driving the evolution: thoughts on Sibos 2020 

What a great week it has been at Sibos 2020. It was exciting to hear from leaders how they are adapting to a new environment, as they deliver digital value and innovate responsibly. The theme of “evolution” that Sibos landed on for this year’s event resonated with me on many levels, given the dramatic changes

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Advocating for fairness and transparency in financial services AI 

Financial services institutions are increasingly using artificial intelligence (AI) to automate and augment their decisions. But when it comes to which AI algorithms to use, fairness and transparency must factor into the equation. Black box AI: a cautionary tale Some of the algorithms under heavy consideration today are called “black box” algorithms. While black box

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Microsoft and American Hospital Association launch new AI in healthcare training 

Much like Microsoft’s mission to empower every person and every organization on the planet to achieve more, the mission of the American Hospital Association (AHA) is succinct and straightforward: to advance the health of individuals and communities. Microsoft’s new partnership with AHA builds off our respective missions to launch an educational course on the future

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The ESG data conundrum and the SDG funding gap: what’s the path forward? 

The financial services industry worldwide recognizes sustainability as both risk and opportunity. With a real global need, growing regulatory pressures, a clear moral mission, and unstaunched innovation, sustainability is proven to be a massive growth play. The green bonds market is on a roar and banks are raising their sustainable finance objectives, while investors hunger for green assets over brown.   Yet we’re

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The art of implementing machine learning at scale 

Machine learning holds the promise of saving time and money while increasing accuracy and efficiency across a variety of business use cases – but there can be pitfalls on the road to implementation. Companies often find artificial intelligence projects surprisingly easy to launch but then deceptively difficult to scale, from both the tech and organization