Rachelle Dene Poth is a foreign language and STEAM teacher at Riverview Junior/Senior High in Oakmont, Pennsylvania. Over the past year, I have focused on learning more about artificial intelligence. I thought I understood the meaning of AI. In early 2018, I noticed that AI was becoming an increasingly popular topic of discussion in the blogs that I was reading and in social media posts. When I first started thinking of AI, I had a flashback to the 2004 movie I, Robot, which starred Will Smith.

Wouldn't it be fabulous to know for sure that an article you read online is authentic and contains trusted sources? If everyone used AI to fact check, fake news and data could be eliminated permanently from online news sites. Menlo Park, CA-based AI startup, Diffbot has announced an official partnership with the European Journalism Centre to combat fake news. The company is the only other US company aside from Microsoft and Google to crawl and index the entire web to create its Knowledge Graph. Journalists can access the DKG through the Data Journalism platform created by the European Journalism Centre to provide resources, materials, online courses and community forums for data journalists all over the world.

Recent surveys, studies, forecasts and other quantitative assessments of the impact and progress of AI highlighted the need to retrain many workers, improving AI's score from F to A on 8th-grade science exam, and the $97.9 billion the AI market will reach in 2023. In the next three years, as many as 120 million workers in the world's 12 largest economies may need to be retrained or reskilled as a result of AI and intelligent automation; only 41% of CEOs surveyed say that they have the people, skills and resources required to execute their business strategies; the time it takes to close a skills gap through training has increased from 3 days on average in 2014 to 36 days in 2018 [IBM] Top drivers for investing in robotics and automation: Reduced cost (80%), improved quality (55%), increased productivity (54%), improved capabilities of robots (54%). "I was at MIT for another fifteen years after I graduated…twenty years after I went and asked to do my bachelor's thesis [with Victor Zue on speech recognition], Siri comes out… twenty years ago, we [wanted to] have a device where you can talk to it and it gives you answers and twenty years later there it was. So, that, for me, that was a cue that maybe it's time to go where the action is, which was in companies that were building these things. Once you have a large company like Microsoft or Google throwing their resources behind these hard problems, then you can't compete when you're in academia for that space. You know, you have to move on to something harder and more far out… So, I joined Microsoft to work on Cortana…"--T.J. Hazen The worldwide market for AI systems will reach $97.9 billion in 2023, up from $37.5 billion in 2019.

The legal value of XAI can be significant, especially (though by no means exclusively) in mitigating developer and end-user liability.¹ Though it is somewhat early to presume that the perfect information model introduced in The Role of Explainable AI (XAI) in Regulating AI Behavior: Delivery of "Perfect Information"can be viewed as a mature standard, the model does possess the necessary proto qualities and can be reasonably viewed as a proto standard. Therefore, a properly developed XAI is one that possesses, at a minimum, all the attributes of perfect information. And once that parameter is fixed, the XAI is deemed properly developed and ready to provide a variety of risk mitigation benefits. One example of how this can work is in dispositive-centric efforts, including in crafting safe harbors.

Recent surveys, studies, forecasts and other quantitative assessments of the impact and progress of AI highlighted the need to retrain many workers, improving AI's score from F to A on 8th-grade science exam, and the $97.9 billion the AI market will reach in 2023. In the next three years, as many as 120 million workers in the world's 12 largest economies may need to be retrained or reskilled as a result of AI and intelligent automation; only 41% of CEOs surveyed say that they have the people, skills and resources required to execute their business strategies; the time it takes to close a skills gap through training has increased from 3 days on average in 2014 to 36 days in 2018 [IBM] Top drivers for investing in robotics and automation: Reduced cost (80%), improved quality (55%), increased productivity (54%), improved capabilities of robots (54%). L'Oréal's recruiters believe they saved 200 hours of time to hire 80 interns out of a pool of 12,000 candidates, using a chatbot that saves significant time in the early stages of the recruiting process by handling questions from candidates, and Seedlink, AI software that assesses their responses to open-ended interview questions [Forbes] Infusion Software, using a chatbot from LeadsDrift.com, has reduced the number of front-line salespeople who field customer inquiries from 25 to 9 since April and expects to save $1 million a year [Wall Street Journal]

The new HPE ML Ops solution extends the capabilities of the BlueData EPIC container software platform, providing data science teams with on-demand access to containerized environments for distributed AI / ML and analytics. BlueData was acquired by HPE in November 2018 to bolster its AI, analytics, and container offerings, and complements HPE's Hybrid IT solutions and HPE Pointnext Services for enterprise AI deployments. Enterprise AI adoption has more than doubled in the last four years1, and organizations continue to invest significant time and resources in building machine learning and deep learning models for a wide range of AI use cases such as fraud detection, personalized medicine, and predictive customer analytics. However, the biggest challenge faced by technical professionals is operationalizing ML, also known as the "last mile," to successfully deploy and manage these models, and unlock business value. According to Gartner, by 2021, at least 50 percent of machine learning projects will not be fully deployed due to lack of operationalization.2

Lasse Rouhiainen is a best-selling author and international expert on artificial intelligence, disruptive technologies and digital marketing. Finnish in origin but based in Spain, Lasse focuses his work on investigating how companies and society in general can better adapt to, and benefit from, artificial intelligence. Lasse has given keynote presentations, seminars and workshops in more than 16 countries around the world and holds frequent conferences at several universities internationally. He has also provided training to thousands of students and businesses through online e-learning courses. Lasse has been a speaker at renowned seminars such as Mobile World Capital and TEDx, and has worked with top brands and institutions such as Michelin, Össur and the European Union Intellectual Property Office.

Source: Capital IQ; Pitchbook; Deallogic; S&P; McKinsey Global Institute "Overall Europe is behind in private investments in Artificial Intelligence" AI strategy for Europe* * COM(2018)/237 Total VC Investments in Blockchain (2010-2018) • North America: $5,1 billion (Canada: $623 Mill.) • China: $1.5 billion • Europe: $1,2 billion (CH:$414 Mill.&

Researchers at the University of North Carolina's Center for Geospatial Analytics (CGA) are using artificial intelligence (AI) and machine learning (ML) …

Researchers at the University of North Carolina's Center for Geospatial Analytics (CGA) are using artificial intelligence (AI) and machine learning (ML) to help farmers better adapt their crops to changing climates. Speaking to ZDNet, CGA associate director Ranga Raju Vatsavai said his team of researchers has been working in partnership with Lenovo for the last two years to develop AI and ML solutions to help farmers preemptively identify ways to best optimise water and energy -- and ultimately address the threats to food insecurity. "Our area of research is to extract actionable knowledge from the datasets. Food, energy, and water are a good application because the population is going to reach 10 billion by 2050. Right now, we are utilising 70% of fresh water for agriculture," he said.