How To Thrive In The Future of Work With AI

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Discover how AI is transforming various industries in the future of work and how Colaberry is paving the way with its innovative solutions. Read our blog for insights.

Rapid technological innovations have been disrupting job markets since the First Industrial Revolution. The Fourth Industrial Revolution has accelerated the pace to unprecedented speed. Anticipating the trajectory of the changes and preparing for the workplace of tomorrow in the age of AI has become one of the most pressing global issues of our time. In 2016, the National Science Foundation (NSF) unveiled ten “Big Ideas” — ten distinct areas that would guide their research and investment strategy to position the United States as the global leader in science and engineering. The Future of Work at the Human-Technology Frontier was pronounced as one of them.

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Colaberry Launches Digital Credentials For Learners with Credly

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Colaberry, an in-demand skills training and career transition provider, announced the launch of a new initiative to offer their learners a secure, portable, and trusted means to share and communicate their validated skills online through professional and social networks. Partnering with Credly, the digital credentials leader, Colaberry graduates will earn digital credentials that represent a range of technical and human skills gained by completing their data analytics and data science programs.

“Colaberry’s digital credentials give our graduates an effective tool to signify to prospective employers that they are prepared to begin delivering immediately on in-demand skills,” said Ram Katamaraja, Founder and CEO of Colaberry. “Together, we are bringing transparency to candidates’ capabilities that make it easier for employers to discover technology talent with the skills they need in today’s tight labor market.”

Through this new partnership, Colaberry graduates will receive digital credentials hosted on Credly’s Acclaim platform. Credential holders can use this verified record of their specific skills and knowledge to differentiate themselves from other professionals in their fields. Employers can, in turn, identify holders of in-demand credentials who have verified skills and expertise. This additional layer of recognition allows employers to better understand what applicants know and can do.

“The tech skills Colaberry develops— from data analysis to machine learning — are among the most in-demand skills today,” said Jonathan Finkelstein, CEO of Credly. “By providing digital credentials to its graduates, Colaberry is demonstrating to employers the skills their student has learned, in a way that can be quickly validated.”

About Colaberry

Colaberry has been providing one-of-a-kind, career-oriented training in data analytics and data science since 2012. Our training offerings include self-paced, instructor-led onsite, and instructor-led online classes. We have helped over 5,000 people to transform their lives with our immersive boot camp-style programs.

About Credly 

Credly is helping the world speak a common language about people’s knowledge, skills, and abilities. Thousands of employers, training organizations, associations, certification programs, and workforce development initiatives use Credly to help individuals translate their learning experiences into professional opportunities using trusted, portable, digital credentials. Credly empowers organizations to attract, engage, develop, and retain talent with enterprise-class tools that generate data-driven insights to address skills gaps and highlight opportunities through an unmatched global network of credential issuers.

For more information contact: 

Ram Katamaraja

CEO and Co-founder of Colaberry

(617) 444-9689

or

[email protected].

Colaberry Attends The Women in Data Science Conference

Colaberry Attends The Women in Data Science Conference

This weekend, Vivian Rebrin was able to attend the second annual Women in Data Science Conference in St. Louis. The event took place in Washington University’s Emerson Auditorium. My colleague David Freni and I met some data scientists who work with our client Bayer Crop Science. We were able to listen to several women working in the industry, as well as Washington University’s Professor Liberty, describe the dangers of manipulating data for self-interest and the importance of asking the right questions. The main subject that stuck out to me was the manipulation of data. The two main brands that were affected by this in her examples were Starbucks and Uber. Each of these had their data distorted to sabotage their reputations. Her conclusion for the women in data science and entering it was to always ask these four questions when looking for results. Who was asked? What was asked? How was it interpreted? Why do we care? In the world of science, it is important to maintain humanism.

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