Becoming a data scientist does not necessarily require a master’s degree. There is a significant shortage of data scientists, and some employers are comfortable hiring people who lack a degree, but have the experience needed. The majority of employed data scientists have a master’s degree, but over 25% do not. If you have the experience, […]
Working Towards Explainable AI
“The hardest thing to understand in the world is the income tax.” This quote comes from the man who came up with the theory of relativity – not exactly the easiest concept to understand. That said, had he lived a bit longer, Albert Einstein might have said “AI” instead of “income tax.” Einstein died in […]
Deep Reinforcement Learning: What, Why, How
Reinforcement learning (RL), a “niche” machine learning technique, has surfaced in recent years. In context-based decision-making, reinforcement learning helps the machine take action-provoking decision-making through a trial-and-error approach to achieve the optimal algorithmic model for a situation. Furthermore, the machine is trained through a reward/penalty-based feedback mechanism, the goal of which is to continuously improve […]
A Brief History of Deep Learning
Deep Learning, is a more evolved branch of machine learning, and uses layers of algorithms to process data, and imitate the thinking process, or to develop abstractions. It is often used to visually recognize objects and understand human speech. Information is passed through each layer, with the output of the previous layer providing input for […]
Data Science Trends in 2022
The year 2021 was out of the ordinary as global businesses struggled to keep afloat amid the pandemic. This unusual situation accelerated digitization in businesses, which led to a surge in “digital data.” This year witnessed a record number of hires of data scientist and data analyst positions as businesses realized that data-driven market intelligence […]
A Brief History of Artificial Intelligence
In 1950, a man named Alan Turing wrote a paper suggesting how to test a “thinking” machine. He believed if a machine could carry on a conversation by way of a teleprinter, imitating a human with no noticeable differences, the machine could be described as thinking. His paper was followed in 1952 by the Hodgkin-Huxley […]
A Brief History of the Internet of Things
Simply stated, the Internet of Things consists of any device with an on/off switch that is connected to the Internet. The Internet of Things (IoT) involves machines communicating information over the internet, and has not been around for very long. Machines have been providing direct communications since the telegraph (the first landline) was developed in […]
Artificial Intelligence Augments Data Management
Artificial intelligence (AI) is now everywhere in Data Management, BI, and Data Science software, according to Mike Ferguson, Managing Director of Intelligent Business Strategies. The AI field is still young and will continue to get better as increased adoption of AI enables data and analytics software to predict, automate, and optimize, thus shortening time to […]
Data Management Trends in 2022
Data Management is about collecting, storing, and using data efficiently, securely, and in a cost-effective way. More and more, organizations are shifting to scalable Data Management platforms (in the cloud) to govern, secure, and analyze data. This allows them to process their business functions with a single unified platform. Data Management platforms provide increased control, […]
The Fundamentals of Natural Language Processing and Natural Language Generation
Natural Language Processing (NLP) is the process of producing meaningful phrases and sentences in the form of natural language. Natural Language Processing precludes Natural Language Understanding (NLU) and Natural Language Generation (NLG). NLU takes the data input and maps it into natural language. NLG conducts information extraction and retrieval, sentiment analysis, and more. In Natural […]