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.
New O’Reilly Report Reveals Nearly Two-Thirds of Data & AI Professionals Prioritize Job Training in Hopes of Salary Increase
Competitive Tech Companies Lead with Culture to Land Top Talent
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
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
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
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
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
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.
Chatbots for Recruiting
Talent departments are spending $250 billion on recruitment, interviewing and candidate assessment solutions. But as employers invest in these disparate technologies, they sacrifice efficiency and deliver a disconnected experience throughout the talent lifecycle. Enter the AI chatbot. Phenom, a leader in Talent Experience Management (TXM), is a single platform that individualizes the end-to-end talent journey for candidates, recruiters, employees and management.
Infographic: How to Become a Data Scientist in 2020?
Data Scientist continues its reign as one of the most coveted jobs in 2020. In fact, as the business world becomes increasingly data-driven, there is a serious concern that the data science skill gap will continue widening and the supply of data scientist career talent won’t be able to catch up to the industries’ demand. For the 3rd consecutive year, our friends at 365 Data Science asked the data and collected their findings in a detailed annual report summarized in the included infographic.
Interview: Mike Hudy, Ph.D., Chief Science Officer at Modern Hire
I recently caught up with Mike Hudy, Ph.D., Chief Science Officer at Modern Hire, to discuss the use of AI in the hiring process. Hint: it includes a robust and specific code of ethics, implementation with a specific problem in mind, and lots of transparency.