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
The explosive growth of Internet of Things devices has made development of edge infrastructure pivotal for real-time data analytics. As more data originates from various IoT devices and other sources that include industrial sensors — insights that enhance operations, customer experiences and safety measures — more can be processed.
Agencies must ensure their IT infrastructure is up to the task of transforming how data is processed before they can begin leveraging high-performance computing (HPC) and artificial intelligence. Federal demand for HPC infrastructure continues to grow apace, in conjunction with agencies’ appetite for enhanced operations and decision-making.
The evolving demands of data management and processing at the edge have more agencies looking to HCI, particularly as technologies such as artificial intelligence and machine learning become more prevalent. HCI is software-defined IT infrastructure that virtualizes traditional hardware system components.
Successful adoption of generative AI, especially within the public sector, requires organizations to enable systematic experimentation and exploration, with their own data, for their workforce and constituents. Strict data governance protocols are typically required.
The evolving demands of data management and processing at the edge have more agencies looking to HCI, particularly as technologies such as artificial intelligence and machine learning become more prevalent. HCI is software-defined IT infrastructure that virtualizes traditional hardware system components.
With the authorizations, agencies across the Department of Defense and the intelligence community can use Google Distributed Cloud Hosted — an air-gapped private cloud service tailored to workloads that demand maximized security requirements — to support some of their most sensitive data and applications.
Criteria for those evaluations will be developed jointly by the AI data labeling company and the AISI. Without third-party testing, the release said, governments would need to spend time and money building out their own testing infrastructure and still wouldnt be likely to meet the growing demand.
What has gone less noticed, however, is the emergence of a new generation of scalable, high-performance microprocessors featuring built-in accelerators to improve memory, data streaming, balance database and security. Data Streaming – capable of speeding up data movement across memory caches, storage and network devices.
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.
In the intricate web of government agencies, the smooth exchange of data is paramount to provide citizens seamless access to digital services. However, this exchange poses significant challenges, particularly concerning citizen-centric data. Inter-agency data exchange patterns.
As agencies move into this new era of AI-driven innovation — and original equipment manufacturers position themselves to meet growing demand — technology procurement decisions are taking on greater significance.
Available on Demand | October 3, 2023 | 1 Hour | 1 CPE One Cybersecurity and Infrastructure Security Agency (CISA) program that has been widely adopted throughout the federal government also is one of its longest-established – the Continuous Diagnostics and Mitigation (CDM) program. Andrew held positions more recently at IBM and Tanium.
The platforms unique algorithms and data integration capabilities made it irreplaceable for real-time battlefield analysis, addressing critical national security needs. This highlights how sole-source contracts can meet specialized demands that no other vendor can fulfill. Emphasize Your Value : Showcase what sets your business apart.
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.
EVe’s transformation journey Since its inception, EVe recognized the pivotal role of data and has become a data-driven organization. The initial step involved calling up a comprehensive tender to establish a secure, scalable, and flexible data platform.
Chris Coligado, executive vice president and federal market lead at Smoothstack, said cybersecurity, cloud computing, software development and DevOps, data analytics, project management, network administration and artificial intelligence and machine learning are among the top information technology skills that are needed in the federal sector in 2025. (..)
Most experts agree that the long-term potential of artificial intelligence (AI) depends on building a solid foundation of reliable, readily available, high-quality data. One area where data quality and readiness play a particularly crucial role for federal, state, and local government agencies is identity management.
Rideshare demand prediction is a well-explored topic in academia and industry, with abundant online resources offering diverse modeling frameworks tailored to different geographic contexts. A challenge with rideshare demand prediction, however, is that the trip data required to calibrate or train models can be exceptionally large.
In this post, we discuss how Amazon Web Services (AWS) can help you successfully set up an Amazon DataZone domain, aggregate data from multiple sources into a single centralized environment, and perform analytics on that data. Amazon DataZone enables you to distribute the ownership of data, creating a data mesh.
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. And increased AI implementation demand that organizations rethink how they staff, develop, and run their day-to-day operations.
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.
Tuesday, October 10, 2023 | 2:00PM EDT | 1 Hour | Training Certificate The growth in volume of data being generated every year is staggering. One company has estimated that an organization’s amount of data will triple within five years, between on-premises, cloud and software-as-a-service locations. As a Cyber Leader in the U.S
Globally, the demands of the COVID-19 pandemic rapidly accelerated the adoption and acceptance of telehealth and digital health applications. This paper aims to give recommendations based on best practice examples for health policymakers to provide clear direction to healthcare institutions for governance of healthcare data in the cloud.
Called the Space Data Integrator , this FAA system is designed to funnel data collected from space vehicles in “near-real time.” The House-passed FAA reauthorization prioritizes the deployment of new technologies, like the Space Data Integrator (SDI), to help maintain safety and efficiency for all airspace users. in June 2021.
Mark Kitz, the office’s top official, said there are already several specific examples of actions his office has taken to try to answer George’s demand for a simpler network. The Army has been talking for many, many years about the need to simplify its IT networks. They argue the biggest ones are organizational. Is that one provider?
Federal customers are often challenged by integrating data across multiple systems and providing federated access to authenticated users operating across multiple organizations. This will facilitate agile and secure data sharing with their providers. Department of Defense (DoD). “By
Public sector and commercial enterprises are ingesting ever-growing amounts of data into their enterprise operations. That’s placing greater demands on enterprise IT executives to ensure the requisite data privacy and security controls are in place and functioning effectively. What is Gemini doing with all this data?
As enterprises increasingly rely on real-time data processing and automation, edge computing has become vital to modern IT infrastructure. Latency and bandwidth sensitivity: Applications like autonomous vehicles and smart manufacturing require near-instantaneous data processing, which demands low-latency and high-bandwidth capabilities.
Because of AWS’s scalability, along with using multi-Availability Zones paired with cross-regional data replication, CentralSquare delivers resilience and continuous availability to seamlessly handle demand spikes during emergencies while maintaining high performance, making sure vital services stay operational when they’re needed most.
The tech industry in the state of Texas is booming, with a growing demand for skilled workers in cloud, information technology (IT), software development, and data analytics roles. According to the Dallas Federal Reserve, high tech represents almost 5 percent of Texas’ gross domestic product (GDP) and more than 9 percent of employment.
It references an authoritative knowledge base outside of its training data sources before generating a response. It can further integrate individual data with the extensive general knowledge of the FM to personalize chatbot interactions. Architecture diagram of loading data into the vector store.
It is essential that Congress provide resources to allow the TMF to continue to meet the growing demand for investments which address constantly evolving technology needs, threats and advancements so that government can deliver better for the American people,” GSA Administrator Robin Carnahan said in a press release. Nancy Mace, R-S.C.,
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. Large databases also demand increased oversight of operations and maintenance activities.
In June 2024, it announced the Emerging Technology Prioritization Framework to accelerate the adoption of new tech, particularly high-demand generative AI (GenAI) solutions. Technological change happens faster today than in the past, and innovations can bring about great things.
Since 2023, the alliance has launched in 12 countries and US states and is now expanding to France, with the aim of meeting the growing demand for cloud skills. For learners, the Tech Alliance is a unique opportunity to learn in-demand cloud skills and to build direct contacts with employers.
Many see the need to shift to an on-demand approach to buying IT resources. Commercial cloud offerings lean in this direction, but with the ever-increasing demand for data, many in government have seen their cloud expenditures skyrocket. Adapt on Demand. This model delivers simplified and predictable pricing.
With many constraints and demands on local budgets, getting additional resources can be difficult—forcing educators to do more with less. But as demand for AI talent across all industries grows, training for employees will be the best option to bridge the AI knowledge gap.
NHM and Amazon Web Services (AWS) have partnered up to transform and accelerate scientific research by bringing together a broad range of biodiversity and environmental data types in one place for the first time. The processed data is loaded into a Neptune graph database using the Neptune bulk loader through a Neptune notebook.
But with this latest spate of authorizations, the company adds many services that are in demand for government customers, like AI, zero-trust security, and data and analytics tools. More regions, more elasticity, more data, compute, storage, etc.”
The Internet of Things (IoT) sounds like a vague and complicated term, but it simply means smart objects like appliances, wearable tech, or vehicles that can collect or share data. When agencies collect data from IoT resources, they need a centralized platform that can make the vast amount of information they are receiving more manageable.
Although elaborate technological demands are certainly one hurdle to the Department of Defense achieving Combined Joint All-Domain Command and Control, the quieter but no less pressing challenge is government bureaucracy, Breaking Defense reported earlier this month. How do we share the data?”
” – Vendor Manager | ONE AMERICAN BANK Use Data and Analytics to Make Informed Decisions Modern procurement relies heavily on data. Spend analysis, supplier performance data, and market trends can help you identify inefficiencies and opportunities for savings. I always ask myself, ‘How do we get more savings?’
Helping government agencies adopt AI and ML technologies Precise works closely with AWS to offer end-to-end cloud services such as enterprise cloud strategy, infrastructure design, cloud-native application development, modern data warehouses and data lakes, AI and ML, cloud migration, and operational support.
Governments worldwide control vast budgets through procurement, giving them the power to: Drive innovation by demanding advanced solutions from vendors. Evolving Standards: Rapid technological advancements bring shifting standards, such as interoperability requirements and data privacy regulations.
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