Unison Inc., the leading provider of software and insight to government agencies, program offices, and contractors, today introduced the Data Validation Engine to support the modernization of the federal acquisition lifecycle. This transformative app utilizes machine learning, an application of Artificial Intelligence (AI), to automate configurable rules for improved data quality and accuracy. "We launched the Data Validation Engine with acquisition modernization as a top priority to put the power in the hands of federal agencies to drive compliance with their policies and procedures," said Reid Jackson, Unison President and CEO. "At Unison, we bring real-world applications of leading-edge technical innovations to the federal acquisition and contractor workforces. This app is just the latest of several new product releases built on our Insight Platform using the latest AI and RPA technologies."

OPINION -- Artificial intelligence is everywhere. If you shop online or occasionally speak to a voice assistant in the morning, you are already embracing the changes this technology has created. Many people are familiar with the advances of autonomous vehicles or facial recognition technology, and some may be curious, or even anxious, about how they will affect safety or privacy. Make no mistake, AI is a transformative technology that is influencing our daily lives and will touch every sector of the global economy. Whether society and government enable or inhibit the AI race, and the extent to which they do so, will be a critical question of the next decade.

In August we were thrilled to announce a £250 million investment in Artificial Intelligence (AI) applications for health and care through the creation of the NHS AI Lab. We hope that over time this investment will enable health and care providers to benefit from the very best data-driven technology and help us achieve our goals for technology use in the NHS and in the care system. However, we also believe that people have the right to know why we think this is a worthwhile investment and how we think AI might help us achieve these goals. "Artificial Intelligence: How to get it right. The report is intended to provide a cohesive overview of the current state of play of data-driven technologies within the health and care system.

The new TLM Cash and Liquidity Management, AI and machine learning module is an important development for any financial institution with a treasury department, with its ability to predict when credit is going to arrive; giving the treasurer more control over cash-flows. The proprietary algorithm uses the data and predicts the forecasted settlement time of receipts on an intraday basis. The core of the module is underpinned by sophisticated machine learning technology that continuously improves, meaning the predictions become more accurate and treasurers can make more informed decisions. Nadeem Shamim, Head of Cash & Liquidity Management, SmartStream, says: "Things are going to get tighter in terms of managing liquidity. Collateral is expensive, capital is expensive and there is currently a big drive to reduce excessive use of capital – this is an area where AI and predictive analytics can manage liquidity buffers more efficiently and that can result in significant savings".

RegTech, commonly known as regulatory technology, comprises of all technologies designed to assist companies within the financial industry to comply with regulations. Many of the RegTech solutions primarily focus on anti-money laundering (AML) and know your customer (KYC) regulations. These solutions are designed with high precision levels offered by machine learning technology and artificial intelligence (AI). RegTech solutions cover various functions that include fraud prevention, regulatory change discovery applications, risk management, and KYC. Regulatory changes have increased in volume by almost 500% since the global financial crisis of 2008-09. That could be the reason why the commercial service companies opted to increase the number of their compliance staff and invest more money in their compliance fund.

The U.S. government, long a proponent of advancing technology for military purposes, sees artificial intelligence as key to the next generation of fighting tools. Several recent investments and Pentagon initiatives show that military leaders are concerned about keeping up with – and ahead of – China and Russia, two countries that have made big gains in developing artificial-intelligence systems. AI-powered weapons include target recognition systems, weapons guided by AI, and cyberattack and cyberdefense software that runs without human intervention. The U.S. defense community is coming to understand that AI will significantly transform, if not completely reinvent, the world's military power balance. The concern is more than military.

Immigrant rights campaigners have begun a ground-breaking legal case to establish how a Home Office algorithm that filters UK visa applications actually works. The challenge is the first court bid to expose how an artificial intelligence program affects immigration policy decisions over who is allowed to enter the country. Foxglove, a new advocacy group promoting justice in the new technology sector, is supporting the case brought by the Joint Council for the Welfare of Immigrants (JCWI) to legally force the Home Office to explain on what basis the algorithm "streams" visa applicants. The two groups both said they feared the AI "streaming tool" created three channels for applicants including a "fast lane" that would lead to "speedy boarding for white people". The Home Office has insisted that the algorithm is used only to allocate applications and does not ultimately rule on them.

Artificial intelligence, machine learning, and deep learning technologies have entered the mainstream; they are being adopted by enterprises all over the world. While these technologies certainly hold the potential to vastly improve the quality of operations in the corporate sector, they also stand to disrupt many existing markets. AI can easily be extended, adapted, and applied to different business operations. When considering that AI is just a computer program, we can begin to see the potential scope of the technology. The reason that AI is being adopted on such a large scale is due to its capacity to bring intelligence to tasks that previously did not have it. This, coupled with the technology's ability to automate repetitive processes with intelligence, makes it a highly disruptive power in various sectors. Keeping this in mind, we explored some of the industries that are most likely to be impacted by the widespread adoption of AI technology. Let us see why companies are so eager to adopt artificial intelligence.

In today's hype-filled world of artificial intelligence, myth is often confused for fact. Due to a large number of myths about AI, it becomes difficult to differentiate the truth from fiction. Join us as we tackle some of the oft-repeated myths when it comes to AI. When it comes to myths about AI, many theories might seem incredulous, and some which are grounded in fact. Considering the hype around the technology, it might get difficult to determine the true disruptive power of artificial intelligence on society. Many of these theories revolve around AI somehow taking over human civilization.

Aegis AI, an artificial intelligence startup that builds software which employs computer vision to automatically detect weapons in security camera feeds, today announced that it's rebranding as Actuate and launched new AI threat-detection features. Actuate was founded in early 2018 by University of Chicago MBAs Sonny Tai and Ben Ziomek. Tai is a former Marine Corps captain who spent his formative years in Johannesburg, South Africa, where gun violence rates are some of the highest in the world, while Ziomek brings deep data science and AI expertise gained from his time as a program manager at Microsoft. The New York City-based Aegis Systems is a venture capital-backed AI startup that provides computer vision software to turn any security camera into a threat-detecting smart camera. Aegis AI system automatically detects firearms in existing security camera feeds, providing early warning and dramatically improving law enforcement response.