An alliance of government agencies is taking a deep dive, as it were, into the world’s oceans as part of a larger project to develop a comprehensive environmental Earth model that could more accurately make predictions about weather and climate. The new model could enable forecasting events ahead of time, by days or even decades.
Department of Defense (DoD) officials have been framing Artificial Intelligence (AI) as the center of a “new space race,” citing its growing importance in military and geopolitical operations, the investments other countries such as China have been making in AI, and Russian President Vladimir Putin’s assertion that whoever takes the lead in this field will be “ruler of the world.”
The Army is forging ahead with deployment of its Big Data Platform (BDP), a move that underscores the Department of Defense’s (DoD) plans for using open-source software, commercial technologies, and cloud services to get a grip on the data it collects from a wide range of sources.
The Inspector General for the Department of the Interior assessed the information that the agency submitted under the DATA Act, and found that some of the data was incomplete or inaccurate. The report noted “deficiencies in completeness, timeliness, quality, and accuracy of the data submissions we sampled.”
Government agencies are trying to move beyond simply managing data to analyzing and using data to inform decisions. “We have a lot of information and that information needs to be tied together,” said Michael Peckham, Data Act Project Management Office executive director for Health and Human Services, at Software AG’s Innovation Tour on Nov. 2. […]
The Sunlight Foundation released a report that found that cities use Federal data to make strategic decisions including identifying local issues and informing policy decisions. The majority of cities began using Federal data more than a decade ago and 43 percent plan to increase their use of Federal data in the future.
The Internet of Things has spawned many changes within the Federal government, including new methods of data collection at the Department of Agriculture (USDA), new policy considerations at the National Institute of Standards and Technology (NIST), and a realignment of the Office of the CIO (OCIO) at the Department of Commerce.
By 2020, there will be three times as many devices as there are people in the world – and the volume of data continues to grow exponentially. Automation and machine learning can accelerate processes and increase efficiency – but automation that crosses outside the network has the potential to expose agencies to new cyber threats.