IRONSCALES, the pioneer of self-learning email security, today announced that is has won Cyber Defense Magazine's Infosec Award in the category of Most Innovative Artificial Intelligence and Machine Learning application. In addition, IRONSCALES also revealed today that it has won two'Gold' awards from the Info Security Products Guide Global Excellence Awards in the categories of Artificial Intelligence in Security and Incident Analysis & Response. These awards continue momentum form 2019 in which IRONSCALES won a total of six awards, including the distinction as the Best Anti-Phishing Security Solution and Innovation in Email Security. "IRONSCALES philosophy has always been that in order to make a dent in what has become the global phishing epidemic, real-time human intelligence combined with technology that leverages artificial intelligence and machine learning is required to protect against the rapid scale of new phishing attacks," said Eyal Benishti, IRONSCALES founder and CEO. "Our team has worked tirelessly to build an email security platform that is both seamless to use yet incredibly powerful and effective. I thank the judges for recognizing our intuition and technological achievements, our thousands of customers for believing in our product and of course our dedicated team for pushing the limits to build the anti-phishing solution of tomorrow, today."

Back in college I did computer consulting for political consulting firms in the Washington D.C. area. Working on both sides of the political spectrum, I set up CP/M-based PCs (dating myself) on these new things called local area networks. The idea was to provide basic campaign processes, such as direct mail and phone list management, to support state, local, and federal campaigns. The systems in campaign offices are 10,000 times more sophisticated, typically with data moved out to public cloud providers, and advanced data science maximizing the effectiveness of known data for campaigns. The most valuable person in a modern campaign is no longer the campaign manager, but those charged with leveraging the data to effectively target campaign resources.

Fintech companies, which provide financial services on technological infrastructure, use proprietary statistical models that leverage AI methodologies and machine learning to assess the borrowers' credit risk, significantly accelerating decision-making and service with enhanced precision. Even the strictest laws can't eliminate the inherent impression the credit manager forms. Banking has traditionally relied on face-to-face interactions with the clients at the physical branch or office. The personal encounter has provided numerous advantages to both parties. The client had an opportunity to get to know the service provider, while the latter could use the first-hand impression to mitigate the bank's exposure to a range of risks, in particular, fraud, forgery, impersonating, and money laundering.

Even though the first person who wrote an algorithm was a woman in the 19th century, artificial intelligence may be discriminating against women. Two centuries later, algorithms "have the ability to push us back decades" in gender parity, explains Susan Levy, a researcher at University College Dublin who is part of a project to prevent Artificial Intelligence algorithms from learning gender bias. "They can exacerbate toxic masculinity and the attitudes we have been fighting for decades in society," she adds. It algorithms themselves that are at fault, but the history of mankind. Artificial Intelligence (AI) learns from data that is made available, and most of it is biased, says Levy.

The use of artificial intelligence is growing in many areas: hiring, healthcare, travel, household functions. These AI examples rely heavily on deep learning and natural language processing, but its use has sparked a debate about bias and fairness. Human decision making can be shaped by unconscious individual and societal biases. Will AI's decisions be less biased than human ones? How are companies addressing this potential AI bias with regards to hiring, data crunching, and other critical business functions?

CampaignTester was awarded Best Application of Artificial Intelligence to Optimize Creative at the 2020 Campaigns & Elections Reed Awards. CampaignTester is a cutting-edge mobile-based platform that utilizes emotion analytics and machine learning to detect a user's emotion and engagement level while watching video content. Their proprietary platform aims to deliver key audience insights for organizations to validate, revise and perfect their video content messaging. Campaigns & Elections Reed Award winners represent the "best-of-the-best" in the political campaign and advocacy industries. The 2020 Reed Awards honored winners across 16 distinct category groups, representing the different specialisms of the political campaign industry, with distinct category groups for International (non-US) work, and Grassroots Advocacy work.

Ms. Beer was among 30 IT executives who responded via email to CIO Journal's annual end-of-year questionnaire reflecting on 2019 and looking ahead to 2020. "I believe that without making it your top priority, you're going to struggle to deliver any of your other priorities," she said. The Sydney-based software company in 2019 formed a cross-functional team designed to explore ways to improve collaboration within the IT group. Cigna Corp. CIO Mark Boxer called talent a perennial priority. "It's our number-one differentiator and we will continue to retain, develop and attract the best talent heading into 2020," he said.

The soccer bot lines up to take a shot at the goal. But instead of getting ready to block it, the goalkeeper drops to ground and wiggles its legs. Confused, the striker does a weird little sideways dance, stamping its feet and waving one arm, and then falls over. It's not a tactic you'll see used by the pros, but it shows that an artificial intelligence trained via deep reinforcement learning--the technique behind cutting-edge game-playing AIs like AlphaZero and the OpenAI Five--is more vulnerable to attack than previously thought. And that could have serious consequences.

For those who want to understand how Artificial Intelligence is transforming financial services i.e. AI in Finance, learn from those who are building the future of finance in the biggest banks, tech companies and fast-growing startups: http://www.cfte.education/aifinance It is designed around 18 modules of video lectures, reading assignments and assessment quizzes. Learners can interact with other participants through an online forum, and receive weekly emails with additional content. Once enrolled in the course, participants join a global community of finance professionals, technologists and entrepreneurs interested in AI.

Texas Hospital Association (THA) has formed a partnership with care.ai, an AI-powered autonomous monitoring platform in healthcare to create statewide adoption of artificial intelligence for autonomous monitoring. This statewide program provides awareness to care providers about their patients, providers, and business. It uses computer vision – not cameras – to detect and alert staff if an at-risk patient attempts to get out of bed if they haven't rotated in a few hours, or even if an employee hasn't properly washed their hands. Through the use of its active learning neural networks, care.ai's The care.ai neural network algorithms are built using the world's most extensive and proprietary human behavioral library.