Frontline workers are the foundation of every industry—from retail and healthcare to hospitality and field services. Yet for years, they’ve been asked to increase productivity and deliver more value, faster, often with tools that weren’t designed for the specific realities of frontline work. Today, that dynamic is shifting. When AI is applied in practical, governed
When it comes to comprehensive digital business solutions, few companies in the world offer the portfolio of services that NTT DATA does. Headquartered in Plano, TX, NTT DATA manages a worldwide team of 50,000 employees that help their customers through their digital transformations.
The New York City Department of Environmental Protection delivers over a billion gallons of water to 9.6 million New Yorkers every day. The agency is responsible for treating 1.3 billion gallons of wastewater every day and maintaining 14 plants, 96 pumping stations, and 7,500 miles of sewers across New York City. As COVID-19 derailed daily operations, the DEP leveraged Windows Virtual Desktop and its existing Microsoft Azure subscription to quickly stand up remote working environments for agency employees.
Companies today are focused on keeping employees safe while trying to still meet the essential needs of their customers. But we know from our conversations with our customers and partners throughout the United States that business leaders are also beginning to think about how best to adapt and drive recovery as we emerge from this crisis. The business world is changing at an extraordinary pace.
Tom Lawry | National Director for AI, Health and Life Sciences Ours has been called the information age. There is probably no place where this name rings truer than healthcare. In the 1950s A newly-minted physician would go their entire career before seeing medical information and knowledge double.
It’s no secret that right now businesses are rapidly shifting priorities and strategies and some development teams have been downsized as a result. Developers are going to play a key role in imagining what’s possible and accelerating recovery and innovation.
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.
