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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
(Photo credit: World Bank Transport Team 2) Road infrastructures connect households to higher quality opportunities for employment, healthcare and education. The application runs on AWS and extracts accurate insights from road networks at scale in developing countries based on publicly available data.
Many of you will know that weve always been interested in opening up and improving the procurement and contracts that underpin mega-sporting events, which have – all too-often been – vectors for cronyism, corruption or massive mis-spending. Initial estimates suggested total expenditure would exceed 5.72
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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).
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The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. The full list of publicly available datasets is on the Registry of Open Data on AWS and these datasets are also discoverable on AWS Data Exchange. What will you build with these datasets?
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.
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Speaking Tuesday at a Scoop News Group-produced GDIT event in Washington, Nur and other federal cyber officials spoke of the proliferation of AI-fueled cyberattacks and how much more critical coordination and information-sharing has become as use of the technology among amateur hackers has surged.
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The effectiveness of efforts to combat non-competitive practices in the general government procurement market can be assessed because of machine-readable data provided by the government and public analytics tools built by third parties. The data also indicates that buyers are making a concerted effort to improve their planning.
For a federal agency charged with administering health insurance programs, upholding quality standards at facilities and enforcing a seemingly countless number of arcane rules , the Centers for Medicare & Medicaid Services is especially reliant on institutional knowledge.
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IDB staff calculations based on The Conference Board’s Total Economy Database (TED). (*) Data for 2022 is estimated and for 2023 is projected. Institutional Quality Matters Another important finding of our research is that the effect of public debt on growth depends on institutional quality.
In this step we use a LLM for classification and data extraction from the documents. Sonnet LLM: document processing for data extraction and summarization of the extracted information. The extracted data is then saved to an Amazon DynamoDB table. If any value has English and non-English data, use only the English value.
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Click the Transcript tab at the top of the text box at any time to view event transcript. He has also spearheaded the “AI-able Data Ecosystem” pilot, creating a new approach for public-private collaborations with personnel/resources across a dozen agencies and working with companies internationally. In addition to a B.S.
This can significantly impact the amount of time it takes to get to the point where the information is truly actionable — especially since you must make sure that dataquality, consistency, and timeliness issues are resolved BEFORE you start taking action on the information now at your disposal. Here are three examples.
Quite a few of our customers are located in the Detroit area where we recently hosted a networking event featuring Nexteer Automotive. Unfortunately, after this point of agreement, the conversations proceeded down many different paths including: dataquality issues (timeliness and accuracy).
Response times to damages from extreme weather events, wildlife, or other external factors tend to be reactive in nature, leading to extended outages and significant expenses. Power and utilities A common difficulty for power and utility companies involves vulnerable equipment situated outdoors without adequate protection.
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.
Harnessing AI is a useful way to advance modernization goals, but AI governance—including ethical considerations, data security, and compliance with federal regulations—must remain a top priority. Click the Transcript tab at the top of the text box at any time to view event transcript. Close transcript to return to live CART.
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With its mix of charm, history, and major public works set to transform its infrastructure for the future, Rome was the perfect backdrop for our event which was all about harnessing our collective knowledge to make procurement more results-driven, transparent, and impactful across Europe. We’re ready to help make this happen.
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