The phrase ‘Artificial Intelligence’, sweetly abbreviated as ’AI’ when put in front of a product, raises the expectations from a product beyond limits.
In an interview, Bill Gates said “The key for us, number one, has always been hiring very smart people.” The strategy, he expounded in the same interview, was one of picking ‘elite’ talent; talent that had the intelligence to take on challenges and understanding what needs to be done.
Google has an immersive mentorship program where potential employees, fondly referred to as Nooglers, go through a two-week program where everyone is taught how to use multiple tools within the Google ecosystem. They develop projects in groups and code for open-source programs. By the time the Nooglers are done with the program, they know everything about everything (arguably).
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 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.
