big data

The U.S. military’s sweeping effort to build a common command and control system to unite warfighting across all domains—sea, land, air, space and cyberspace—now has a formal policy to guide its further development. Secretary of Defense Lloyd Austin has officially signed off on the Joint All-Domain Command and Control (JADC2) strategy, reported Lt. Gen. Dennis Crall, USMC, director, Command, Control, Communications and Computers/Cyber; and chief information officer, The Joint Staff (J-6), on Friday during a press conference at the Pentagon.

Progeny Systems Corp.,* Manassas, Virginia, is awarded a $38,876,284 indefinite-delivery/indefinite-quantity contract (N66604-21-D-H100) containing cost type provisions. This contract is for continued development of the Data Acquisition and Retrieval System. Work will be performed in Groton, Connecticut (90%); Manassas, Virginia (5%); and Newport, Rhode Island (5%). The ordering period will be completed by May 2026. Fiscal 2021 research, development, test and evaluation (Navy) funds in the amount of $245,606 will be obligated at time of award on the first task order and will not expire at the end of this fiscal year.

Enlighten IT Consulting LLC, Linthicum Heights, Maryland, has been awarded a $66,294,372 firm-fixed-price contract to provide Enterprise Logging Ingest and Cyber Situational Awareness Refinery (ELICSAR) Big Data Platform (BDP) to provide Air Force enterprise data analytics and further development and deployment of ELICSAR in the unclassified, secret, and top secret domains. ELICSAR BDP is a government-owned, cloud-based platform that collects data and enables complex analytics to identify advanced cyber threats. Work will be performed in Linthicum Heights, Maryland, and is expected to be completed March 31, 2024. This award is the result of a competitive acquisition using AFWERX Commercial Solutions Opening authority.

For the past few months, the Joint Staff’s J-6 leader and other officials have been drafting a plan of action for implementing the Defense Department’s Joint All Domain Command and Control, or JADC2, framework. The ability for all of the services to jointly conduct operations in space, air, sea, land and cyberspace simultaneously is seen as an essential way to succeed against near-peer adversaries. How data is organized, accessed, analyzed and dispersed in real time to decision makers is key to the success of JADC2 and is a core aspect of the developing strategy, said Lt. Gen. Dennis Crall, director, Command, Control, Communications and Computers/Cyber; and chief information officer, Joint Staff; who is known as the J-6.

Massive amounts of sensitive information on U.S. citizens are being collected, created, shared, bought and sold, and in some cases used as a weapon by the country’s adversaries, according to a panel of experts speaking at the AFCEA TechNet Cyber conference, a virtual event held December 1-3.

The information is gathered and sold by companies such as Facebook and Google and the producers of a wide range of applications, programs and technologies. 

Data in various forms supports a wide range of national security missions, and whichever country is best able to use that data will have a distinct advantage, according to intelligence agency experts speaking at the virtual 2020 Intelligence and National Security Summit.

Network data collection, analysis and sharing are core to cyber defense, and Tinisha McMillan is on a mission to improve all three.

As division chief for the Cyber Situational Awareness and NetOps Division within the Defense Information Systems Agency (DISA), McMillan is responsible for building and providing cyber analytics and tools to enhance the department’s cyber information sharing to protect the Department of Defense Information Network (DODIN).

Unlike the other services, the military’s newest service, the U.S. Space Force, is starting with a chief data officer in place on day one of its existence. With an executive in place to guide how the service will administer its information, and with support from its top leadership, the service aims to have its data aid its strategic advantage.

By now, federal agencies universally recognize that data is an asset with seemingly limitless value as they seek to reduce costs, boost productivity, expand capabilities and find better ways to support their mission and serve the public.

Before the end of the fiscal year, the U.S. Navy intends to deliver an early version of the Information Warfare Platform to two ships, the USS Lincoln and USS Bataan before fielding more comprehensive systems to the Theodore Roosevelt Strike Group. The new capability will be enabled in part by artificial intelligence, machine learning and so-called digital twins. It is expected to offer the ability to acquire, test, install and field technologies at a faster, more affordable rate while also enhancing cybersecurity.

As part of the Department of the Navy’s aggressive effort to improve its data environment in its information infrastructure, the department appointed Tom Sasala, Senior Executive Service (SES), to oversee the its data management, establishing the policies and the governance around the data fabric of the department.

The Department of the Navy, or DON, was already on a path to improve its data management when Congress passed the Open Government Data Act in January. The measure required cabinet-level agencies in the military departments to create a chief data officer position.

Palantir USG Inc., Palo Alto, California, was awarded an $110,814,893 other transaction agreement contract for numerous databases across the Army enterprise integrated on one platform. One bid was solicited via the internet with one bid received. Work will be performed in Washington, District of Columbia, with an estimated completion date of December 15, 2023. Fiscal year 2020 operations and maintenance, Army funds in the amount of $32,545,300 were obligated at the time of the award. U.S. Army Contracting Command, New Jersey, is the contracting activity (W15QKN-20-9-P001

If the pursuit of DNA-based data storage is a race, it is probably more of a long, arduous, challenge-laden Tough Mudder than a quick, straightforward 50-yard dash. Or it may be a tortoise and hare situation with data growing at an extraordinary pace while science moves steadily along in hopes of gaining the lead.

“The whole business of being a CTO has changed,” said Yuvi Kochar, managing director, technology and operations, CAQH, a nonprofit alliance creating shared initiatives to streamline the business of healthcare.

During his keynote address at the AFCEA-GMU C4I and Cyber Center Symposium, the former chief technology officer (CTO) of The Washington Post, discussed how he first became a CTO in 2000 for a small startup in Boston. “My first job was all about building technology and operating it. And that was good enough,” Kochar said.

Over time though, he’s seen the job transform into a more business-centric role. “Technology is taking more and more of a backseat,” he related.

Lt. Gen. Bruce Crawford, USA, chief information officer/G-6, U.S. Army, suggests the possibility of an Internet of Strategic Things in addition to the Internet of Tactical Things.

“We’ve had some really good discussions about the Internet of Things. That was a thing a couple of years ago. And then we started talking about the Internet of Tactical Things. I think what’s on the horizon is more of a discussion of the Internet of Strategic Things,” Gen. Crawford told the audience on the second day of the AFCEA TechNet Cyber 2019 conference in Baltimore.

The National Science Foundation’s Directorate for Computer and Information Science and Engineering is working to create a big data ecosystem. As part of that effort, the NSF, as it is known, is expanding the National Network of Big Data Regional Innovation Hubs, first created three years ago. The hubs, with one location for each U.S. Census region—the Midwest, Northeast, South and West—grew out of the need to aid the development of big data research and to help solve complex societal problems. The hubs are having a positive impact on the growth of machine learning, increasing the access to data, methods, networks and expertise, experts say.

The U.S. Navy is in the nascent stages of a plan to revolutionize readiness through the use of artificial intelligence, machine learning and data analytics. It also may include the establishment of two new offices: a chief readiness office and an analytics office.

The U.S. Defense Department lags the hype cycle for artificial intelligence, machine/deep learning and implementations like natural language processing by years. It needs to uncover the root causes contributing to this delay and create winning strategies to overcome institutional obstacles to get ahead of industrial partners and adversaries who are further along the adoption curve.

Possessing technology is neither deterministic nor decisive when waging war. The effective employment and deliberate application of technologies to enhance warfighting capabilities implies advantage over an adversary when suitably coupled with offensive and defensive tactics.

Artificial intelligence and machine learning are two of the many technologies that will change the way the military operates, according to a panel of experts. However, despite the revolutionary innovations that lie ahead, humans always will need to be the controlling factor in any operation.

These experts offered their views of the future on the second day of AFCEA’s TechNet Asia-Pacific 2018, held November 14-16 in Honolulu. In a panel sponsored by the Young AFCEANs, the five experts presented a younger generation’s perspective on the advantages and pitfalls of a data-centric battlespace.

Artificial intelligence can be surprisingly fragile. This is especially true in cybersecurity, where AI is touted as the solution to our chronic staffing shortage.

It seems logical. Cybersecurity is awash in data, as our sensors pump facts into our data lakes at staggering rates, while wily adversaries have learned how to hide in plain sight. We have to filter the signal from all that noise. Security has the trifecta of too few people, too much data and a need to find things in that vast data lake. This sounds ideal for AI.

Researchers at North Carolina (NC) State University have developed a new computational model that draws on normally incompatible data sets, such as satellite imagery and social media posts, to answer questions about what is happening in targeted locations. The model identifies violations of nuclear nonproliferation agreements.

When National Science Foundation officials announced in February that three major providers of cloud computing were donating up to $9 million collectively for big data research, they already were looking for ways to broaden the effort to include a wider variety of topics, including cybersecurity. The expansion is intended to benefit both research and education initiatives and is necessary, in part, because the cloud providers now acquire cutting-edge hardware before it is made available to researchers.

ECS Federal LLC, Fairfax, Virginia, was awarded a $48,000,608 modification to provide analysis of large structured and unstructured data sets in order to provide insight to the warfighter on the tactical edge using modern computational and algorithmic techniques through creation of a prototype environment with prototype technologies to uncover key insights with large data sets using robust ontologies created through data science partnership with the Department of Defense research laboratories and universities. Work will be performed in Fairfax, Virginia, with an estimated completion date of March 28, 2019. Fiscal 2018 research, development, test and evaluation funds in the amount of $14,000,000 were obligated at the time of the award.

ECS Federal LLC, Fairfax, Virginia, was awarded a $9,529,017 modification to provide analysis of large structured and unstructured data sets. The company will assist the Army in providing insight to the warfigher on the tactical edge using modern computational and algorithmic techniques through creation of a prototype environment with prototype technologies, DOD said. The goal is to uncover key insights with large data sets using robust ontologies created through data science partnership with DOD research laboratories and universities. Work will be performed in Fairfax, Virginia, with an estimated completion date of September 28, 2019.