MarkLogic partners with DoD and JAIC to structure data for national security

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It’s all about metadata.

When preparing unstructured data for AI, you really extract all the data about that data, said Jeffrey Casale. And that, noted the CEO of data integration and management company MarkLogic, is ultimately what proves most useful. It provides context, overview, meaning and key messages.

“We can understand not just news, but news about news,” Casale said. “And that allows us to build powerful models.”

As organizations ingest more and more data every day — and more, in some cases, every moment — they are turning to AI and ML for help. MarkLogic developed its enterprise NoSQL platform as a way to help organizations manage, operate and secure their data – and soon this tool will be leveraged for national security purposes in the United States.

Defense Data

The 20-year-old San Carlos, Calif.-based company is preparing to work with the Department of Defense (DoD) under a $241 million base order agreement. This supports the Joint Artificial Intelligence Center (JAIC) Data Readiness AI Development Program, which is designed to scale AI across the Pentagon.

MarkLogic is one of dozens of organizations chosen to partner with JAIC, which was established in 2018 with a mission to “seize the transformative potential of artificial intelligence technology to benefit America’s national security.” .

Casale could not provide specific details of the work to be done or its scope because it is still very early in the process, he explained – and the work will eventually be filed. The Basic Order Agreement states that MarkLogic will work with the JAIC to identify appropriate AI use cases, develop capabilities, and adapt data impacts.

“How do we enable organizations within the DoD to leverage the data they currently have and enable that data to be more effective in solving the complex challenges the government faces in a particular mission? ” said Casale.

According to its website, the JAIC applies AI in the fields of joint warfare (systems, sensors and targeting solutions), combatant health (curing diseases, decreasing health care costs and increasing preparedness). operational), joint information warfare and logistics. It also leverages AI to improve fleet readiness through diagnostics, training, process improvements, forecasting and supply chain optimization – and to transform areas of missions that are aligned against unpredictable threats such as humanitarian resistance and disaster relief, countering weapons of mass destruction, and force protection. .

Regardless of the specific use cases, MarkLogic looks forward to the opportunity to help “solve the country’s most critical complex national security data challenges,” Casale said.

“We are very proud to have won recognition from JAIC for supporting their data readiness efforts and look forward to continuing our commitment to supporting ethical principles of AI. The DOD award makes MarkLogic a strategic partner of I C.

Expand use in the federal sector

The contract award extends MarkLogic’s extensive experience in the federal sector. Its platform has been used in major projects for the US Marine Corps and the Center for Tobacco Products Integrated Research Data System (CIRDS) and in the implementation of

The US Air Force Research Laboratory, meanwhile, leveraged MarkLogic technology to create its HyperThought data management platform. This provides a scalable, agile, and flexible way to make exabyte-level data discoverable and securely shareable with thousands of internal and external scientists and engineers. According to the agency, it boosted performance a hundredfold in addition to saving tens of thousands of development hours.

Data agility for the business

In business, Boeing has used the MarkLogic platform to integrate data to enable digital twins; Aetna created a human resources center and the pharmaceutical R&D company AbbVie boosted its PubLab. This tool uses ML, natural language processing, visualization, and analytics to enable data scientists to search and discover over 40 million items of unstructured and semi-structured scientific literature.

“The challenge is that organizations have large amounts of data,” Casale said. And they all want to make sense of it, but “the more complex the data, the harder it is to access the data.”

The MarkLogic platform has been used for deep search and query, to build enterprise applications, and to bring insights to analytics and ML, he explained. The advantage of the platform is that it ingests the data as is from any source and stores that data – along with everything known about it – as a single resource in a platform. unified and secure form.

This connects and powers the AI ​​systems and allows data to be tracked and traced throughout the algorithm, Casale said. Ultimately, this provides high-quality, reliable and accessible information that drives rapid action and innovation and is particularly useful in examining why decisions have been made or why future actions should be taken.

“That’s the unique ability we have with complex data,” Casale said. “We can develop powerful models that really establish that data agility and security. It’s really only as good as your ability to make sense of all the data you already have.

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