From AI and ML models in fintech for underwriting to tech playing a role in collections and repayments, these disruptive developments in the fintech industry have resulted in a hiring surge for skilled professionals. How have new technologies impacted operations of fintech? How will this affect the fintech job market? What skillsets are in demand? The answers to these questions are vital to aspiring entrants to the financial services industry and to professionals in the industry who need to stay relevant over the long haul.
Watch Now
Gartner
“The robots are coming and they’re going to take all of our jobs!” This is the fear people often have as we hear more and more about AI, or, artificial intelligence, in the workplace. And the fear is pervasive across just about every industry and job type, including blue and white collar jobs.
Watch Now
Data Robot
As machine learning and artificial intelligence (AI) become must-have capabilities in every industry, organizations are realizing they need to become AI-driven enterprises in order to remain competitive. However, many companies hesitate to implement AI solutions because of three major concerns: finding the expertise required to build high-quality AIs from machine learning models, a lack of trust in “black box” decision-making, and prohibitively long machine learning project timelines that affect time to market.
Watch Now
Gartner
So many questions still surround artificial intelligence (AI), data science and machine learning. Yet, the questions are getting far less theoretical as more organizations look to take advantage of these technologies now. Organizations are asking more about how they can apply these technologies, how long it will take to gain the benefits, and how to train staff -- or if they need to hire new staff.
Watch Now