Microsoft AI
Artificial intelligence is no longer a speculative bet for global professional services firms—it’s a structural shift in how expertise is created, decisions are made, and value is delivered to clients. As the pace of innovation accelerates, organizations face growing pressure to move faster, operate with greater consistency, and deliver insight at scale, all without eroding
Dr. Marie Hartwell-Walker defined intimacy as follows: “Intimacy means deeply knowing another person and feeling deeply known.”1 We may not be able to precisely define intimacy, but it’s a feeling we know when we experience it.
Business resiliency and elastic infrastructure in FIs The impact of the COVID-19 pandemic will continue to be felt by financial institutions (FIs) around the world. Operational challenges resulting from increased demand for certain services, social distancing and remote work are pushing resiliency plans to their limits.
Characterized as a rare, “black swan” event, we are facing unprecedented disruption globally, and across all industries and markets. For now, businesses in the manufacturing sector are assessing and refocusing around a few key objectives to manage through the crisis: Safety, health, and immediate care of workforce. Assessment of impact to infrastructure, community, and business.
What is Azure DevOps? Azure helps developers and IT professionals streamline DevOps application workflows so that they can build better software for their customers over iterative timescales. This includes tools for full project visibility for team members, full-stack monitoring and alerts, multiple delivery pipelines, and automated development and testing capabilities through Visual Studio and GitHub.
As an on-going celebration of growth, innovation, and acceleration across the finance industry, this year’s Money Management Institute Summit focused on The Value-Add Imperative — how financial service providers can go beyond their traditional services to positively impact the lives of their customers.
Companies across the Financial Sector are using AI and Machine Learning to model customer behaviors, avoid risk, and streamline critical business processes. Consequently, building and testing Machine Learning models has become an important discipline for many financial institutions.
Whether they’re self-selected, HR mandated, passed on by old leadership or insisted on by the CIO, the tools we use every day shape our productivity.
Microsoft is proud to support and celebrate nurses around the globe this Nurses’ Week May 6th – 12th as part of International Year of the Nurse and Midwife. This year is significant and exemplifies the importance of nurses’ work throughout the world for many reasons.
Large-scale healthcare issues require solutions that connect patients to doctors and healthcare workers while providing insights that can save lives. Healthcare officials use data to treat patients and mitigate pervasive diseases while serving the widest range of patients possible.
As I work with customers across the US, I hear that many find the “promise of AI” to be somewhat overwhelming, with a variety of questions about where to start.
David Koscheski | Director of Industry, Banking Ten years ago, it would have been tough to imagine today’s banking landscape. With rapidly evolving technological innovations and changing customer expectations, competition from fintech, Big Tech, and smaller, niche institutions has turned up the heat on the industry as a whole.
Many insurers are realizing a need for transitioning their call centers to operate under remote work models. The technological challenges associated with this type of undertaking are compounded by the need to drive those workloads under compressed timelines.