It’s not just about the technology or the culture!
Digital transformation is one of the most widely talked about and hyped terms of our time. All organizations are enthusiastic about embarking upon a transformation project as the rewards can be significant if completed successfully. Though the success with change is not guaranteed as the vast majority (60–80%) of organizational change efforts fail. When it comes to digital transformations, Bain research suggests that a mere 5% meet or exceed expectations. As the average lifespan of S&P 500 companies has fallen to just 18 years, business transformation and digital disruption are more important than ever before. If companies don’t consider how to manage the change before embarking on a large project, they may be risking ending up in the “failed bucket” without yielding any long term value. …
Automation will displace 200,000 workers from their jobs in the banking industry in the next ten years, Almost half of the wage-paying jobs all around the world could theoretically be at risk of automation using technologies already at hand. In the next 12 years, 1 out of 3 American workers are at risk of losing their jobs to new technologies, and politicians are already talking about Universal Basic Income (UBI) to compensate for lost jobs and guarantee people a basic living wage to help them cope.
AI has been the most intriguing topic of 2018 according to McKinsey. It is mentioned as the key enabler now at the #1 and #3 spot of Gartner Top 10 Strategic Technology Trends for 2019.
AI became a catch-all term that refers to any computer program that automatically does something. Many people make referrals to AI without actually knowing what it really means. There is public debate on whether it is an evil or savior for humanity. …
Real time object detection with YOLO V2
Intro
This piece of blog is written to share my experience with beginners for a specific Machine Learning object detection case.
Deep learning is an advanced sub-field of Artificial Intelligence (AI) and Machine Learning (ML) that stayed as a scholarly field for a long time. With the abundance of data and exponential increase of computing power, we have been seeing a proliferation of applied deep learning business cases across disciplines. …
About
