Microsoft AI
Across professional services, artificial intelligence is increasingly influencing how work is performed, how services are delivered, and how firms think about long‑term differentiation. For leaders in audit, tax, and advisory services, expectations are evolving. Clients are looking for greater efficiency, more consistent insight, and deeper expertise—while continuing to expect strong governance, security, and professional judgment.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
“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.
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.