Adoption of AI is becoming a common phenomenon across the industry. Companies are in different stages of AI maturity and depending on the level of adoption they are seeing varying levels of impact. While there is lot of excitement in the rapid adoption of AI, many companies may be oblivious of some of the inherent risks regarding AI models. Stakeholders are increasingly consuming insights from AI applications (less critical to mission critical) for decision making and it can have larger implications, unless it is managed well. History is privy to instances when things have gone wrong and the 2008 financial crisis is a case in point.
Blog Category Listing
Aug 26, 2020
How 21st century technologies like iot/ai/ml and biometrics will help reshape the future of aviation
Jul 20, 2020
AI and Machine Learning in Financial Services : Accelerated adoption in the Post COVID new-normal

UnBox.ai, Art of testing AI applications

Digital Transformation & the Merits of an Evolving Hybrid Cloud Strategy
Rohan Khadabadi writes on why digital transformation is key and how enterprises should have an evolving hybrid cloud strategy powered by digital levers like AI, Big Data and Blockchain. Read more.

Myths About Machine Learning
Artificial Intelligence, Machine Learning, Deep Learning are the most prominent technologies, used in different products and applications we use in our everyday life. Artificial Intelligence is the intelligence exhibited in machines, unlike the natural intelligence displayed by humans. Machine Learning is a subset of artificial intelligence and it is the technique to learn from data without using complex set of different rules. It is the study of computer algorithms that improve automatically with experience. Training is done on the sample data to build mathematical model for making predictions on unseen data. Deep Learning is part of machine learning methods based on artificial neural networks, inspired by our brain's own network of neurons, uses multiple layers of neurons to extract higher level features. These technologies are used everywhere whether it is Google Search Engine for information extraction; Voice Assistants like Apple Siri, Google Home or Amazon Alexa for making voice calls, send messages, play music, control devices, set timer and other actions based on the command; self-driving cars or autonomous vehicles capable of sensing the environment and moving safely by making an extensive use of deep learning and AI; product recommendation on Ecommerce platforms by applying various machine learning techniques; movie recommendations on Netflix; fraud detection in banking and finance, Cybersecurity, facial recognition in Facebook. Deep learning is applied in various fields like computer vision, speech recognition, natural language processing, machine translation, medical image analysis. These technologies are used in various industry verticals such as healthcare, automotive, business, manufacturing etc. However, there are certain misconceptions about machine learning that come in the human mind, which we would like to highlight.