ConnectAround Careers, Perks + Culture | Built In ConnectAround also offers fantastic tools for management, who can now post to virtual bulletin boards and send messages instantly, saving hours of fielding phone calls or having to depend on residents walking by paper flyers
Toxic Work Environment: 18 Examples and How to Improve It A strong company culture is important for your company’s longevity and business success In order to build an exciting culture that will entice job seekers and retain employees, you need to be thoughtful with the type of organizational culture you aim to create
How to Write a Mission Statement (92 Mission Statement . . . - Built In A mission statement is a concise explanation of a company’s general purpose, objectives and values It should be aspirational, memorable and written with multiple audiences in mind — including customers, shareholders, the general public and (primarily) employees
What Is Artificial Intelligence (AI)? - Built In John McCarthy and Alan Turing are widely considered to be the founders of artificial intelligence Turing introduced the concept of AI and the Turing test in his 1950 paper “Computing Machinery and Intelligence,” where he explored the possibility of machines exhibiting human-like intelligence and proposed a method to evaluate these abilities
58 Employee Engagement Ideas That Work - Built In Employee Engagement Ideas for Social Connection 6 Highlight Individual Employee Interests Every single person at your company has their own set of interests and skills
Senior Manager, Internal Recovery Operations - SoFi | Built In An understanding of the various regulatory policies guiding the consumer collection and recovery industry, including FDCPA, TCPA, UDAAP, FCRA, Reg B , CFPB Reg F, OCC Bulletin 2020-10, OCC Bulletin 2013-29 etc Experience building robust controls across collections and recovery operations; A team leader, able to motivate and develop their staff
Principal Component Analysis (PCA) Explained | Built In Principal component analysis (PCA) is a dimensionality reduction and machine learning method used to simplify a large data set into a smaller set while still maintaining significant patterns and trends