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In today’s world of siloed and scattered data, agencies often have an incomplete picture of their constituents. But adopting an integrated, digital data platform can vastly improve how agencies do business and interact with the public. But agencies that look more deeply can greatly impact lives.
The Department of Commerce is requesting information concerning AI-ready open data assets, alongside the development of data dissemination standards. In describing itself as “an authoritative provider of data,” the agency said it is looking to ensure the accuracy and integrity of data as AI intermediaries access and consume data.
As public health resources shift away from the pandemic response, jurisdictions now seek ways to modernize their public health infrastructure to avoid previous challenges such as data fragmentation, incompleteness of health data, and lack of interoperability.
Guidance from the Department of Commerce aimed at establishing a first-of-its-kind framework for using the agency’s public federal data with artificial intelligence tools could come in the next several months. That initial search was an effort to see what was already out there in terms of AI-ready data guidance, according to Houed. “We
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One of the drivers for these issues is focused around the lack of access to reliable “data”. To be of use, supply chain data must be of good quality and trustworthy. Today organizations are assessed based on their people, processes, technology and “data”. View the report HERE.
CDC Data Maps Illustrate Threat Impacts It’s often impossible to confine environmental and public health events to a specific jurisdiction, agency or area of responsibility. EJI draws its data from the CDC, Census Bureau, Environmental Protection Agency, and Mine Safety and Health Administration.
Enter Data Club This is where our work at the Mongolian Data Club comes in. We designed a data analysis project to show how public open datasets can be used to uncover important issues and bring public attention to who is supplying what, for how much and whether there are any links between suppliers and high-ranking public officials.
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.
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Artificial intelligence (AI) has the potential to find valuable new insights in your data. But to make the most of it, your data, and your organization, must be ready. But data ops are so critical to AI and machine learning,” he said. Get your data governance set up. That’s all unstructured data,” Chang said.
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 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.
Pragyansmita Nayak , chief data scientist at Hitachi Vantara 's federal subsidiary , has outlined strategic steps to integrate artificial intelligence tools into government systems to optimize operations, enhance security and achieve mission objectives.
Additionally, NASA has since implemented all three integration offerings from USA Staffing: request processing, new hire and data APIs. Sharpe said that these changes will help those responsible for hiring to have data flow across systems “without duplicative effort and reducing the risk of human error.”
While ASPPH provides many services, members consistently rank the curated data resources published on the Data Center Portal (DCP) as a top benefit. ASPPH’s technical team has built custom web applications that capture and store data in a relational database. The production server stored raw data from multiple sources.
Data-driven monitoring enables citizens to submit high-quality complaints to authorities. Formal guidelines have been introduced in several regions to ensure data-driven audits are conducted to a high standard. There was also a lack of data on the volume and outcome of audits.
27, 2021 /PRNewswire/ — Ivalua, a global leader in Cloud Spend Management solutions, and the International Association for DataQuality, Governance and Analytics (IADQGA) today announced a partnership to improve the use of data in procurement and supply chain decisions. REDWOOD CITY, Calif.,
This blog summarizes some of the benefits of cloud-based ground segment architectures, and demonstrates how users can build a proof-of-concept using AWS Ground Station’s capability to transport and deliver Wideband Digital Intermediate Frequency (DigIF) data , along with the software-defined radio Blink, built by the AWS Partner Amphinicy.
They are trying to unlock insights from their data, deliver better customer experiences, and improve operations using cutting-edge technologies such as generative artificial intelligence (AI), machine learning (ML), and other data analytics tools. This approach also led to the creation of data silos.
The integration of AI within government operations will redefine our interaction between citizens and government,” said Chris Steel, AI Practice Lead with AlphaSix, which provides data management platforms and data analysis tools. “It But the foundation of AI is data — high-quality, accessible and secure.
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The world’s largest museums have worked together to look at how their data can be used to tackle these challenges. NHM and Amazon Web Services (AWS) have worked together to transform and accelerate scientific research by bringing together a broad range of UK biodiversity and environmental data types in one place for the first time.
Healthcare organizations invest heavily in technology and data. Using Amazon Bedrock, you can easily experiment with top FMs, and fine-tune and privately customize them with your own data. Retrieval-Augmented Generation (RAG) allows us to retrieve data from outside a foundation model.
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Federal human resources employees now have a standard set of data and business elements, and performance measures to lean on as they modernize their hiring and other processes. The HR Line of Business and Quality Service Management Office completed this year-old effort earlier this summer to update the HR business reference architecture.
Eighty percent of health and quality-of-life outcomes as well as health risks are driven by these factors. We’ve seen participants in the Health Equity Initiative create incredible solutions that effectively address the equity gaps in accessing quality health services. Jacaranda Health is looking to help reduce these numbers.
These efforts are part of an ambitious statewide goal to close the educational attainment gap in North Carolina, ensuring that 2 million North Carolinians have a high-quality credential or postsecondary degree by 2030. Administrators, on the other hand, prefer ease of administration, data privacy and dataintegration.
Using various data points such as bank account numbers, location coordinates, equipment types and names, analysts can derive a cohesive “story” from the data that aids the mission. To do this, traditionally, analysts combed through data from various sources — spreadsheets, databases, cloud storage, etc. — Data is similar.
At 2 am on Saturday morning, the day after the 10th Conference of the States Parties to the UN Convention against Corruption (UNCAC) was meant to end in Atlanta, exhausted negotiators finally adopted a resolution on “ Promoting transparency and integrity in public procurement in support of the 2030 Agenda for Sustainable Development ”.
Approach: The new director of the procurement agency led the development of a data-driven corruption risk monitoring system and worked with a reform team to strengthen the institutional capacity of government buyers, improve cross-agency coordination and increase collaboration with civil society. More recently, it canceled a RD$1.3
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.
We’re actually figuring out how to have your house be an integral part of your health,” said Joe Ronzio, deputy chief health technology officer for the VHA. The key for devices like that, and others that leverage deep learning models, is to have “a lot of data to come to a conclusion and to train it to do a simple task,” he said.
million investment, the FEC is looking to modernize its FECFile Online software, making it cloud-based and web-accessible for filers so that it “improves dataquality and enhances security.” With an $8.8 Larry Bafundo, acting TMF executive director, said in a statement that people are “at the heart of every TMF investment.”
Advanced analytics tools are being integrated into procurement operations, enabling public and private organisations to rethink procurement processes, supplier relationships and cost optimisation. What is Data Analytics in Procurement? It focuses on how public sector entities can enhance compliance and transparency.
There is significant question whether the data actually support this supposed need for deterrence, however, and dialing back a system by which private companies can protest a government contract decision is likely to have a range of unintended and negative consequences. Other questions remain as well.
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. Containers enhance and modernize public sector applications with improved application quality, portability, security, scalability, and fault isolation.
Solution: Open standards and interoperability requirements are integrated into procurement specifications. By emphasizing interoperability, governments ensure that new systems seamlessly integrate with existing infrastructure, reducing the risk of legacy issues and promoting a more cohesive and efficient IT environment.
I know there’s a lot of anxiety whenever we’re integrating new technology into our work,” he said. AI provides State with “the ability to process just so much more data,” Graviss said. But the “engagements” and “basic humanity” diplomats bring to the table “really can’t be replaced.” Nerd out,” Blinken said. “Go
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How do Chief Procurement Officers and their teams leverage digital transformation to take control of their data and better deliver against their strategic objectives? . Johan, can you give us a bit of background on the digital transformation journey at Booz Allen and the role of data? What role did data play on a day-to-day basis?
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OIG found that VA had agreed to provide the platform contractor with three testing environments “to complete critical data-quality and performance sensitive testing for Digital GI Bill releases” that included integration, usability, performance and more by October 2022.
Using various data points such as bank account numbers, location coordinates, equipment types and names, analysts can derive a cohesive “story” from the data that aids the mission. To do this, traditionally, analysts combed through data from various sources — spreadsheets, databases, cloud storage, etc. — Data is similar.
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