Legalist, a San Francisco-based litigation finance company started by two Harvard University dropouts and advised by retired 7th U.S. Circuit Court of Appeals Judge Richard Posner, has just raised $100 million, which it will use to fund plaintiffs in 100-200 commercial cases over the next two years. Legalist scrapes federal and state court records and then uses algorithms to predict case outcomes and determine the best cases in which to invest. It invests exclusively in mid-market cases that require less than $1 million in funding. "Legalist leads the new wave of technologists using artificial intelligence and machine learning to streamline and underwrite litigation investments," says the company's website. "Our proprietary technology has been recognized by leading publications as revolutionizing the way plaintiffs interact with the justice system."

My client is a growing technology company in the AI Tech space, and they are looking to add a number of key hires to the team. They're now looking for a Senior Product Manager to play a key role in growing the team.

Mary Davies, president of Beanstalk Internet Marketing, is the first recipient of the Search Engine Journal Community Award. Mary received the award last week during the Pubcon Pro conference in Las Vegas. We honored Mary in recognition for all her hard work and contributions to Search Engine Journal over the past year – specifically for her work co-managing the weekly Friday Focus column, which we launched this year. Throughout the year, Mary has generously devoted her free time and put her seemingly tireless energy into this column. She has provided great guidance to all of our authors and has been instrumental in making sure we have a constant stream of high-quality articles every week.

Is there a magic formula for brewing the perfect beer? If there is, then given the drink's timeless popularity, whoever finds it is likely to be very successful. It's a question that the world's largest brewer is hoping to answer with the help of artificial intelligence (AI). The Amazing Ways The Brewers of Budweiser Are Using Artificial Intelligence To Transform The Beer ... [ ] Industry AB InBev – producer of renowned brews including Budweiser, Stella Artois, and Corona - is building machine learning into key areas of its business, as it seeks to bring one of the world's oldest industries into the digital age. The company has invested in a raft of data-driven initiatives with the aim of improving everything from how it brews beer to how it manages its relationships with customers and markets its products to the public. It began its steps towards digital transformation several years ago by establishing what it refers to as its Beer Garage – a Silicon Valley-based hub of innovation, where it researches, develops, and tests technology-driven solutions.

Artificial intelligence (AI) is set to radically reshape the way companies do business. From retail to healthcare and finance, machines are likely to play a growing role in making companies more efficient, responsive, and relevant to customers' lives. Already, AI is the driver behind some of the world's most profitable businesses, helping technology firms distribute an array of products and services across digital platforms. Companies such as Amazon, Netflix, and Tencent are leading the development, creating personalized offerings that evolve in line with people's choices and preferences. In the age of AI, industry boundaries become ever fuzzier, with companies forming alliances, even with competitors, and moving into new industries by innovatively leveraging their vast amounts of data and technology.

Abu Dhabi has announced the establishment of the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). Located in Masdar City, MBZUAI is a new graduate-level AI research institution that will enable graduate students, businesses, and governments to advance the artificial intelligence field. The University is named after Sheikh Mohamed bin Zayed Al Nahyan, Crown Prince of Abu Dhabi and Deputy Supreme Commander of the UAE Armed Forces, who has long advocated for the UAE's development of human capital through knowledge and scientific thinking to take the nation into the future. The AI University will introduce a new model of academia and research to the field of AI, providing students and faculty access to some of the world's most advanced AI systems to unleash its potential for economic and societal development. It will offer Master of Science, MSc, and PhD level programmes in key areas of AI – Machine Learning, Computer Vision, and Natural Language Processing – while also engaging policymakers and businesses around the world so that AI is harnessed responsibly as a force for positive transformation.

In Japan's FANUC plant robots are producing robots and they outnumber people. Robots are beating humans in intelligence games, reading and writing pop songs. They are driving us to our chosen destinations and are on their way to become doctors, engineers, scientists, songwriters and painters. Never ever in history, the boundaries between fact and fiction were so thin. By 2030 AI will add an additional $15.7 trillion to the global economy.

Matternet CEO Andreas Raptopoulos walks next to an operator carrying a drone used to deliver medical specimens after a flight in March at WakeMed Hospital in Raleigh, N.C. Matternet CEO Andreas Raptopoulos walks next to an operator carrying a drone used to deliver medical specimens after a flight in March at WakeMed Hospital in Raleigh, N.C. Underneath it is a metal box -- smaller than a shoebox -- with vials of blood samples inside of it that are now heading across the campus to the lab for analysis, guided by a drone operator on the ground. "This facility happens to be across a very busy road from our main campus hospital," says Stuart Ginn, an ENT surgeon and medical director of innovations at WakeMed. But when taken by carrier on foot or by car, he says "the logistics of getting those samples across often resulted in about a 45-minute time of delivery."

Farmers in Colombia's maize-growing region of Córdoba had seen it all: too much rain one year, a searing drought the next. Yields were down and their livelihoods hung in the balance.

Score private: 15.41 and public: 16.37 • Did not work on local validation • Model with 4 variables (On a Call Time, Total Handle Time, Total Calls, and Agent Headcount) • One reason for not improving the score considering additional variables, can be that, additional variables are calculated based on Agent Headcount of that hour. Also reach us at 20. 2019 DevScope. Score private: 15.41 and public: 16.37 • Did not work on local validation • Model with 4 variables (On a Call Time, Total Handle Time, Total Calls, and Agent Headcount) • One reason for not improving the score considering additional variables, can be that, additional variables are calculated based on Agent Headcount of that hour.