This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Generative AI is critical to future of public service The overwhelming majority of respondents (89 percent) think it’s important for their organization to adopt generative AI , with a quarter reporting that they believe it’s critical—and we agree, the future of public service requires the power generative AI brings to the table.
When they found a technology standard that could make research more efficient and open, they acted. What motivated us was the opportunity to participate in this open standards community of cultural heritage institutions, all focused on how to best share collections efficiently across the globe.”
The Brain Data Science Platform (BDSP), hosted on Amazon Web Services (AWS), is increasing EEG accessibility through cooperative data sharing and research enabled by the cloud. However, in current practice, EEGs are not always part of a diagnostic plan, even when they could provide important information.
But until recently, like many governments, New York City relied on antiquated systems and lacked the tools to take full advantage of its procurement data. Its important for us to be accountable to them and understand they are the end user and beneficiary of our procurement. This is an enormous amount of spending, more than most U.S.
A publicly available tool, ACT Ai aggregates data on over 31 million public procurement projects, linking them with company registration data to detect potential fraud and corruption. For example, Thailand’s procurement data could be improved by releasing planning data and ensuring a more timely publication.
But effective implementation of these plans is being hampered by a lack of reliable, factual and understandable information sources for citizens and civil society to monitor the operations of state-owned mining companies for efficiency and corruption risks. Enter Data Club This is where our work at the Mongolian Data Club comes in.
Nearly two years after launching its bureau chief data officer program, the Department of State is seeing success and aiming to almost quadruple the size of its current cohort, Farakh Khan, director of communications, culture and training at the agency’s Center for Analytics, told FedScoop in a recent interview.
Discussions about the value of an enterprise approach to data governance often miss an important point: The difference it actually makes to anyone outside the IT department or the chief data officer’s (CDO) team. I thought about that while listening to a recent GovLoop virtual event on data virtualization.
Data resilience is critical to smooth operations at your agency. Avoid Weak Links: No application or data set is too small or inconsequential to be protected. Understand Your Resilience Requirements : While technology is key to data resilience, it won’t work nearly as well without a change in thinking and processes.
Public safety for these events isn’t just about preventing incidents—it’s also about ensuring that events operate efficiently while keeping attendees comfortable and secure. It’s important to have a robust system in place to control access while ensuring that staff and attendees can move freely and efficiently.
With the rise of remote work and the explosion of the Internet of Things (IoT) generating large volumes of data in the field, agencies want to provide staff the ability to analyze and use that data in the field as well. But there’s a catch: They also need to secure that data. This is the concept of edge computing.
Data management tools, like pricing algorithms and artificial intelligence (AI), are playing an ever-larger role in Federal procurement as agencies look to streamline processes, increase efficiency, and improve contract outcomes. Coalition members generally support the use of these new data management technologies.
Data sovereignty refers to a concept where individuals, organizations, or governments have control over their own data and infrastructure, ensuring independence, privacy, and security. This post walks through how data sovereignty can be achieved leveraging edge AI with Amazon Web Services (AWS).
Now armed with a robust artificial intelligence use case inventory and a splashy new data-tracking tool , SSA’s technology leaders feel especially bullish about where they stand in their digital journey. For a “data rich” agency like SSA, Brown said it made sense to O’Malley to give website users the ability to “see that granular data.”
Modern solutions integrating third-party consumer data and device intelligence are becoming essential to combat synthetic identities and safeguard public services, according to a new report produced by Scoop News Group for TransUnion.
This common SaaS landscape can lead to data silos where data becomes isolated in disparate systems and difficult to centralize for business insights. Pairing operational metrics from project management systems with human resource (HR) data to streamline internal workforce reporting. Jump to Orchestration section ).
In his article “ The Future of Public Infrastructure is Digital “, Bill Gates envisions a world where infrastructure is smarter, more efficient, and digitally integrated. Foster sustainability by prioritizing green and energy-efficient technologies.
Efficient code review processes are vital across all customer segments, both commercial and public sector, where strict regulations, data security, and service excellence are paramount. Streamlined code reviews maintain software quality, mitigate security risks, and enhance operational efficiency.
But it’s important not to confuse ease of use with effortless deployment. Business considerations: Appoint a cross-functional team A cross-functional team will be best able to balance AI skills with knowledge of the target business process(es) and considerations around the source data and what happens to it.
Public procurement spending accounted for an average of 30% of total public spending across the region [1] and as much as 74% of that spending is wasted due to inefficiencies [2] , according to data from FISLAC , an analytics platform developed by the IDB’s Fiscal Management Division (FMM). What is Smart Public Procurement?
This is a guest post by Suzanne Wait with the Health Policy Partnership and Dipak Kalra, from the European Institute for Innovation in Health Data The health sector holds approximately one third of the world’s total volume of data. One such example is the development of cloud-enabled electronic health records (EHRs).
Leverage Group Purchasing and Cooperative Contracts for Cost Efficiency One of the most effective ways to streamline procurement is by using group/cooperative purchasing contracts. ” – Vendor Manager | ONE AMERICAN BANK Use Data and Analytics to Make Informed Decisions Modern procurement relies heavily on data.
The Coalition for Common Sense in Government Procurement (the Coalition) continues to collect recommendations for the Government Procurement Efficiency List (GPEL). As a threshold matter, it is important to note that the remaining 85 percent of supplies and products are ordered manually across the VA.
Louis University ‘s (SLU) Sinquefield Center for Applied Economic Research (SCAER) required vast quantities of anonymized cell phone data in order to study the impacts of large-scale social problems like homelessness and access to healthcare. Finding a reliable data supplier was relatively simple. Cleaning the data.
An artificial intelligence service deployed within the Centers for Disease Control and Prevention is being put to the test for things like modernizing its websites and capturing information on school closures, the agency’s top data official said. That process tends to be “tedious” and “manual,” Sim said.
Agencies might have a wide variety of technological innovations to choose from, but for Nick Psaki at Pure Storage, those reforms all come down to one thing: data. Digital transformation fundamentally starts with your data,” Psaki said. Security: Increased ransomware and other events have made security extremely important.
“Local governments face issues that range from balancing public safety and individual privacy rights to managing vast amounts of data securely and efficiently. Transparency and accountability are crucial to maintaining public trust and require clear policies on surveillance use and data access.”
As public procurement teams face increasing pressure to improve efficiency while upholding compliance and transparency, it’s essential that they have the right strategies in place. To maintain efficiency during times of high demand, teams must have a system in place that allows them to easily scale up their processes as needed.
Data management tools, like pricing algorithms and artificial intelligence (AI), are playing an ever-larger role in Federal procurement as agencies look to streamline processes, increase efficiency, and improve contract outcomes. Coalition members generally support the use of these new data management technologies.
In this blog post, we cover public sector use cases that are driving the adoption of serverless and containers, such as generative AI, data analytics, document processing, and more. If you have a requirement to retain data within a designated Region or data center, you can use Amazon EKS Anywhere on premises.
Unifying data sources to gain a more complete picture of football fans Pitt knew they wanted to start with a project focused on enhancing fan engagement. Richard Turnquist, assistant athletic director of data and analytics, was interested in how the department could use analytics to drive the department’s budget and financial goals.
This proposed statutory authority will immediately open up a world of innovation and efficiency for the government and industry. Sometimes, quality, delivery, innovation, or other benefits are more important than price. Competition at the order level includes price competition.
Introduction Government agencies are increasingly using large language models (LLMs) powered by generative artificial intelligence (AI) to extract valuable insights from their data in the Amazon Web Services (AWS) GovCloud (US) Regions. This will help our fine-tuned language model recognize a common query format.
Good Data Culture One thing successful agencies do is gather the resources they need to make data-driven decisions. “To To [be] able to do that in a fast and efficient manner, you have to have some form of a data culture established,” said Gilmore. Alteryx is here to help data governance and effective reporting.
Whether you’re planning to use more AI or just want to improve analytics and tighten cybersecurity, good data management must be the foundation for your efforts. In 2024, agencies will need to get their data in shape to make the most of it. The Federal Data Strategy, released in 2018, set high-level goals for using and handling data.
The prototype employs innovative applications of optical character recognition (OCR) technology and the novel use of computer vision techniques that will alleviate bottlenecks in and enhance the efficiency of the drug labeling review process. The agency is actively exploring how the CLAT ML prototype could be used in other review processes.
And so I just wanted to give you a little bit of context and an example of why it’s important to have full year appropriations. Individuals associated with the proposed Commission on Government Efficiency will quickly learn what Congress already knows. And we think it’s very important for the U.S.
A multi-account strategy is important for Amazon Web Services (AWS) public sector customers because it is the foundation of cloud governance and compliance. Public sector customers using a shared account model can improve security and operational efficiency by adopting a multi-account strategy. Test new resources.
Delving into data is a passion of mine. Whether analyzing financials, customer KPIs, marketing data, or federal spending data, I rely on data for not just monitoring the performance of our business and our government, but for making informed decisions with real-time information.
Bridging the digital divide: Implementing open procurement for effective digital transformation Digital transformation is arguably the most important administrative undertaking of governments around the world. Before G-Cloud, the average IT tender elicited three to four bids; after G-Cloud, it elicits eight or nine.
Proprietary database products pose substantial risk to government agencies, especially as data moves to the cloud. To accelerate innovation and achieve modern enterprise application success, they need the agility to manage data seamlessly, both on premises and in the cloud. Among open source RDBMS, Postgres is the gold standard.
Amazon Web Services tech expertise will help Armenia develop ways to quickly and efficiently digitize its systems and data,” said Administrator Power in joint remarks with Minister Hayrapetyan. The CFP aims to innovate public services through cloud technology.
As artificial intelligence continues transforming the federal government, agencies are investing in innovative AI applications to enhance mission effectiveness, security and efficiency. In addition, Soper shares how the IRS is balancing between on-premises and cloud solutions to manage data security and costs effectively.
Agencies struggle with data for many reasons. Mismanaged data can lead to poor decision-making, increased risk and even legal fallout, but the No. Mismanaged data can lead to poor decision-making, increased risk and even legal fallout, but the No. Agencies need enormous amounts of data, potentially millions of data points.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content