HackerRank, the Developer Skills Company, announced the release of its AI Skills Report. The AI Skills Report analyzed millions of data points from developers using HackerRank to seek jobs at some of the world’s largest companies.
Upwork Unveils Top 10 Generative AI-Related Searches and Hires in First Half of 2023
August 27, 2023 by
Upwork Inc. (NASDAQ: UPWK), the work marketplace and the preeminent destination for businesses to find trusted AI talent, released new platform data examining the skillset make up of talent and the search and hiring behaviors of companies in relation to Upwork’s fastest-growing category: Generative AI.
Advice for Aspiring Data Scientists: Beyond Programming and Statistics
June 26, 2023 by
In this contributed article, Ida Johnsson. Ph.D emphasizes that success in a data science career extends beyond mastering technical skills, highlighting the importance of demonstrating trustworthiness, effective communication, collaboration, and tangible proof of abilities to potential employers. It also underscores the role of a supportive manager in one’s first job and the necessity of active problem-solving, advising against becoming overly reliant on passive learning methods like watching videos.
New O’Reilly Report Reveals Nearly Two-Thirds of Data & AI Professionals Prioritize Job Training in Hopes of Salary Increase
October 2, 2021 by
Reilly, a premier source for insight-driven learning on technology and business, announced the results of its 2021 Data/AI Salary Survey, which revealed that 64% of respondents took part in training or obtained new certifications in the past year to build upon their professional skills.
Competitive Tech Companies Lead with Culture to Land Top Talent
September 12, 2021 by
In this contributed article, Danielle Jones, Director of Service Operations with Insperity, discusses how competing for high-caliber talent is one of the biggest challenges faced by tech companies of all sizes. With a strategy to prioritize company culture and cultivate a meaningful and positive employee experience, small and midsized data companies can get a head start when it comes to competing with their Big Tech counterparts.
How Machine Learning Can Enhance Recruitment During COVID-19 and Beyond
April 19, 2021 by
In this contributed article, Benjy Gillman, co-founder and CEO of myInterview, discusses why technology-enhanced hiring holds immense promise – and how to ensure that employers avoid some of the biggest pitfalls presented by these advanced tools.
How to Build the Right Team for a Successful AI Project
August 12, 2020 by
In this special guest feature, Simran Bagga, Program Director – AI and Machine Learning at Concord Technologies, take a holistic look at ways to complete a successful AI project through building the right team. The roles on the AI team should be determined by the company’s business processes around defining and creating solutions to problems.
How AI Can Save Jobs in the COVID-19 Economy
August 3, 2020 by
In this special guest feature, Arijit Sengupta Founder & CEO of Aible, believes that the key to saving jobs in the COVID economy requires the right tool for the job, in this case, a new type of AI that blends augmented analytics and human domain knowledge. What business leaders need is an analytical tool to help them consider many possibilities quickly, execute a strategy while preserving options and react to change based on timely feedback.
Infographic: Data Engineering Evolved
August 2, 2020 by
Ascend.io, the data engineering company, announced results from a new research study about the work conditions of data scientists, data engineers, and enterprise architects in the U.S. Conducted in June 2020, findings from over 300 professionals reveal key insights on their teams’ current workload, productivity bottlenecks, and perspectives on automation and low-code technologies.
How AI Motivates A Remote Workforce
July 6, 2020 by
In this contributed article, Dr. Tommy Weir, CEO and founder of enaible, discusses how to use AI to ensure that workers are focused “deep work” — the work that fulfills the most important business objectives — rather than process work. AI can also help companies reveal who the most valuable knowledge workers are – those that are making a big difference in fulfilling company objectives and driving profits.
