Defense and civilian agencies are turning to DevSecOps, eager to capture benefits provided by the agile and robust development methodology. Federal Cloud Computing Strategy and guidance from the Pentagon is accelerating agencies’ pace of adoption – and creating an imperative for quickly getting up to speed on DevSecOps.
Sponsored By Oracle Linux
With public interest in machine learning and automation technology reaching a fever pitch, Robotic Process Automation (RPA) is a hot topic. Carahsoft and our partners Black Cape had an opportunity to test this hypothesis - can RPA do more complex analysis, specifically data science?
Sponsored By Carahsoft, Black Cape
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. The efficiencies and effectiveness agencies can achieve using their own volumes of data hold immense promise for government missions and taxpayers alike.
Sponsored By Carahsoft, Cloudera
No longer do people wait to attend a class on how to lay tile before they start renovating their bathroom. Instead, they search for “how to” videos on YouTube and start learning on their time. No longer do people wait to attend a class on how to lay tile before they start renovating their bathroom. Instead, they search for “how to” videos on YouTube and start learning on their time.
Sponsored By Carahsoft, ThoughtSpot
Building powerful models quickly and easily is important, but businesses realize the greatest value when models are integrated into core processes – and this can be difficult for many agencies. DataRobot is a trusted AI partner that can empower your existing team to identify and apply data science as needed or execute portions of your AI vision on your behalf
Sponsored By Carahsoft, DataRobot
Data virtualization transcends the limitations of traditional data integration techniques such as ETL by delivering a simplified, unified, and integrated view of trusted business data.
Sponsored By Denodo
With all the hype around AI, it is easy to lose sight of how machine learning has already transformed the way we work, particularly in the realm of data analytics. Machine learning is changing how organizations think about data and evolving the role of the analyst in the process.
Sponsored By Carahsoft, Tableau Software
This white paper is intended for federal employees seeking to improve how their organization uses data to help their agency achieves its mission. This includes anyone who is governing, managing, securing, sharing, and storing data, and are interested in learning the Tableau perspective on how to deploy analytics at scale, and achieve the goals of the Federal Data Strategy
Sponsored By Tableau Software
The President’s Management Agenda (PMA) stakes out a bold position on data—in fact, much bolder than many people recognize. The PMA puts data front and center, identifying data as a strategic asset and one of three drivers of
transformation in the federal government. This shift to data-driven decision-making and evidence based policy-making has important ramifications for agency analytic programs.
As part of the President’s Management Agenda (PMA), a framework for a new, data-centric approach is taking shape – one that aligns technology, policies, and records to support evidence-based decision-making.
The next breakthroughs in business intelligence (BI) and analytics will see machine learning and artificial intelligence used to improve data access and data quality, uncover previously hidden insights, suggest analyses, deliver predictive analytics and suggest actions. What’s more, natural language (NL) interfaces will make it easier for business users without knowledge of data science or query languages to explore information, gain insights and make better, data-driven decisions.
A culture of analytics brings together an organization’s two greatest assets: its people and its data. Employees are encouraged to explore their data, to collaborate and share their analysis with others, which drives progress forward.