The Foundations for Evidence-Based Policymaking Act is intended to help you use your agency’s data as a strategic asset to drive decision-making and support policy goals. But to get there, you have to start with the requirements of its year-one action plan.
The COVID-19 crisis has inundated government agencies with data of all kinds, from information around patient symptoms and relief fund disbursement to economic recovery and unemployment claims. With so much data coming in, agencies are challenged to not only collect and store it, but also to make it available for analysis and decision support now and in the future.
The success of an organization’s response to a crisis hinges to a large degree on its ability to manage the accompanying deluge of data. Whether you’re responding to a natural disaster, an economic collapse, or a disease outbreak, the capability to leverage data as an asset is critical.
While the Federal Data Strategy offers a framework for capitalizing on agency data, IT leaders need robust integration tools to "master, not just manage" the data.
Dataset preparation, including collecting, labeling and reviewing data is a tedious and time-consuming activity. Labeling data is usually the slowest part of deploying AI models. Learn how Clarifai can help your organization increase productivity and modeal accuracy with their AI-powered data labeling solution.
AFL evaluated several solutions and selected OneStream XF for financial consolidation, budgeting, forecasting, account reconciliations, data collections and cash flow reporting. After the initial implementation, AFL decided to move from on-premise deployment to the OneStream XF Cloud.
Fruit of the Loom selected OneStream XF in October 2016 and began their implementation in March of 2017. OneStream was selected mainly based on the functionality of the software, and the ability to extend the solution into other areas such as budgeting and planning as well as account reconciliations through the XF MarketPlace.
The Carlyle team evaluated other alternatives and agreed that an investment in OneStream made the most sense, if the platform was used to replace the existing financial and HR planning systems, as well as their legacy application for financial consolidation and reporting, and other point solutions such as account reconciliations in the future.
Learn how Clarifai can help you organization gain a competitive edge and increase revenue with next generation content intelligence.
“MEDS NOW” Service provides a risk reduction response to the COVID-19 outbreak and expected on-going social distancing requirements that will enable patients to receive prescriptions securely, keeping patients at home, safe and compliant with CDC guidelines. Covert technology, authentication and same-day delivery enables this secure, traceable turn-key delivery service.
Detecting billions of dollars in fraud, tracking population trends across the country, and achieving accelerated savings and safety in federal operations: These are just a few examples of machine learning use cases in the government.
Driven by increasing citizen expectations, governments have embraced the Internet of Things (IoT) and this shift has dramatically increased the amount of unstructured data that must be ingested, stored and analyzed. The public sector is looking to use that data to tackle challenges that include traffic congestion, crime, escalating climate change as well as the need to improve delivery of citizen services. This paper provides an overview of the opportunities and challenges presented by Smart Cities.
Your people are your most important asset. An effective organization, with happy customers, depends on empowered and thriving employees. Medallia allows you to more effectively meet your mission by designing, managing, and scaling world–class employee experience programs.
As customer expectations and voice continue to grow, improving the customer experience has become a strategic imperative. But companies typically lack a holistic approach to differentiating on customer experience. Operational Customer Experience Management (OCEM) provides a systematic approach to building the necessary capabilities.
A frequent and important question for CX programs is how to demonstrate ROI. That also holds true for GX: how can government agencies define and quantify their own ROI to secure funding for GX programs, and ultimately prove the value of them?