The cyclic nature of artificial intelligence and machine learning (AI/ML) projects, as presented in Dimecc’s Machine Learning Academy. Courtesy: Dimecc Ltd.
- An AI skills gap exists for ML applications.
- For Industry 4.0 environments more AI and ML knowledge is needed.
- Education needs to change to help AI and ML.
Artificial intelligence (AI) talent is difficult to find, and few industrial companies have enough in-house AI talent. AI will transform many jobs, and companies should give every employee the knowledge they will need to adapt to new AI-enhanced roles. AI resources help implement new business models and better services, but user acceptance is required.
During the last decade, AI design, development and implementation has expanded in many sectors. Organizations are struggling with AI business potential understanding and with finding AI talent.
A growing number of countries have recognized the opportunities provided by artificial intelligence and have prepared a national
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The B+B SmartWorx Scholarships for the Internet of Things were recently awarded by the Starved Rock Country Community Foundation to Alexandria Schick, of Streator, and Cole Adams, of Princeton.
The IoT Scholarship is available to two high-school graduating seniors who will pursue a career in science, technology or engineering.
The award is $1,500 per scholarship and is granted to one male recipient and one female recipient in Starved Rock Country who are enrolled in a college or university for the coming school year.
“The B+B SmartWorx Scholarships are highly sought-after and always bring the most applicants of any of our scholarships,” said Pamela Beckett, President and CEO of the Community Foundation, in a press statement. “Our Scholarship Selection Committee evaluates the applicants without identifying information, so that their selections are not prejudicial. The Committee always has a tough time selecting the winners because of the number of highly qualified and
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