A fast and resilient global supply chain is vital for businesses to meet customer demands and ensure operational efficiency.
There have been many articles written about how supercomputing in the cloud aids in performing compute tasks faster and more cost-effectively. However, with this new capability, both business and IT decision makers are now focusing more on how to manage the much larger volumes of produced data. More model runs and more granular results have
Who would have thought when I made my 2020 health trends and predictions in January that our world would be upended by COVID-19? In a year marked by the health and economic crisis posed by a global pandemic, we’ve seen countless examples of the U.S. health and life sciences community rising to each new challenge
For most organizations, growth is always at the forefront. The pursuit of new service lines, new customers, and new regions motivates business leaders to adopt bigger office spaces, expanded retail locations, and additional franchises. While these aspirations drive each company to bolder aspirations, they do so with a cost. Real estate and facilities management alone
A future for everyone To meet the needs and aspirations of the present without compromising the ability of future generations to meet their own needs—that’s how we at Microsoft define the challenge of sustainable development. We’re constantly exploring innovative ways our technology can address the urgent issues facing the world now, from revolutionizing individual and
2020 has been a year like none other. COVID-19 has brought about not only a public health crisis, but an economic one as well. But historically, skills training has not reached the people in underserved communities who need it most, such as people of color, people with disabilities, and women. Enter the Global Skills Initiative,
Sustainability is about survival. We want our businesses and communities—our species and planet—to carry on without running out of essential resources. Sustainability drives such important outcomes for business and society that it has become a compelling organizational priority. Microsoft has ambitious plans around sustainability. We want to create a future where every person, and every
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
2020 is a time of challenge and opportunity for small businesses who want to prioritize their digital transformation journeys. Fortunately, tools that weren’t seen as feasible for small businesses due to costs and resources are now becoming the norm for SMBs. While many small businesses already take advantage of solutions like cloud storage and collaboration
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
Declining oil prices are creating challenges for their economy which derives 90% of its revenue from oil and natural resource production. The State has turned to Microsoft with a need to adapt education and workforce skilling, reduce costs, and streamline operations. The State of Alaska and Microsoft have formed a digital alliance to invest in
“Diversity expansion can then prevent bias. Only through education can organizations understand the critical need to hire a diverse talent base. It may not be possible to have what some call an “unbiased brain”, but it is possible to bring diverse brains to the table to help prevent it.” —Christian Thilmany, Director, AI Strategy, Microsoft Artificial
Change is no easy task. As with most new technologies, AI adoption brings its share of cost and risk as enterprise leaders and department leads work together to build out their experience. Merely identifying an entry point has brought plenty of AI projects to a halt. Since early 2019, I’ve worked with dozens of IT
