Microsoft’s security toolkits provided a ready-made solution that allowed an Ontario-based health network to create a stable environment that maintains continuity of care even in the face of disruptions. A cyberattack has the potential to be catastrophic in any industry. But in healthcare, the impacts are on the level of life and death, compromising access to
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.
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.
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.
As Artificial Intelligence and Machine Learning continue to cement themselves as foundational resources for growth and transformation across the financial services industry, organizations must account for the added influx of data flooding into their enterprises.
Recently at Adobe Summit Valerie Beaulieu gave a breakout session highlighting Microsoft’s journey to become a marketing leader in the digital landscape we all live in today. Below are 5 key learnings Valerie uses to frame the Microsoft story.
It would be an understatement to say that the COVID-19 pandemic has changed our lives, both personally and professionally. All of us are having to adjust to working remotely, while deploying new technologies to address COVID-19, as we collectively work to protect the health of all Americans.
Today, more than ever, we recognize the need for secure technology that can support our government leaders in responding quickly, and with agility, to rapid changes in the global landscape.
