Fancy food, TT and foosball tables, pets on campus: these are just a few things that you promise your employees when they talk about Employee Value Propositions. In short, you sell a fun-filled, healthy work culture that nourishes you mentally and professionally.
Data science, in itself, is an interdisciplinary field that uses various tools and technologies to interpret, understand, and extrapolate with a goal to discover hidden patterns in data and make relevant, business-oriented decisions.
The year 2020 has been a whirlwind for a number of reasons. But where we see its impact is primarily in our external environment. The rapid technological shift, demographic and social shift, and, of course, the pandemic has significantly impacted the way we work.
According to Forbes, Salesforce’s market share is well over 19%. And Salesforce is now the 7th most demanded job in the IT sector in 2020.
AI is here to eat the world! As with all functions, hiring and recruiting have been greatly benefitted with the addition of AI. Its importance has even greatly increased because of the COVID-19 pandemic and the subsequent social distancing and safety regulations. Despite its growing popularity, concerns around the ethical use of AI, privacy, and reliability of algorithms still exist. Understanding the tech can help recruiters address these concerns, optimize, and leverage it for the best outcomes. So, who better to provide a technology deep-dive than AI experts from Microsoft: Nalin Mujumdar, Cloud Solutions Architect - Advanced Analytics & AI, and Shubham Arora, Solution Specialist, Data Platforms & AI!
Research by People Matters in 2018 spoke of a book by Peter Senge where he coined the term ‘Learning Organization’. His rationale behind this term was that organizations that are learning and are flexible, productive, and adaptive to change will excel. The book was published in the 1990s when L&D-based business strategies were just a concept, and now we can see coming true.
91% of the people evaluate the employer's brand through online and offline sources, according to the 2019 survey conducted by CareerArc.
According to indeed.com, credit analysts earn approximately 19 dollars per hour in USA, whereas the median salary range starts from 7 dollars per hour. Compared to the average income of 2000 dollars a month, credit analysts earn significantly more.
The English language isn’t as homogeneous as one might expect it to be. There are a number of dialects and renditions, and the language itself differs in accent, spelling, grammar, and vocabulary from region to region.
We are all remote workers now and as we get used to this situation and try to do our best as employees, there seems to be one major roadblock across the working world: Our organizations simply are not equipped to handle remote work.