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 […]
Bringing Data Science into the Organization
In a nutshell, Data Science accelerates business growth. Sudeep Rao, offers solid evidence of this by stating that worldwide nearly $30 billion is invested annually for artificial intelligence (AI) and machine learning (ML) projects. A BI and analytics survey indicated that 94% of the survey participants reported “data and analytics” as important factors for the […]
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 […]
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 […]
Artificial Intelligence and Machine Learning Trends in 2022
This article will cover the artificial intelligence (AI) and machine learning (ML) trends forecasted for the business landscape in 2022, but readers need to keep in mind that businesses are still contending with the pandemic, as well as labor shortages, economic crisis, and many other problematic factors. While some businesses worldwide have certainly come out […]
Fundamentals of Self-Service Machine Learning
The recent organizational push for self-service Business Intelligence has helped the next challenge for business users become an increasing need. How to tackle the issue of having Machine Learning (ML) models embedded in all major analytics platforms? On the one hand, embedded models offer greater freedom and control over data analysis; on the other hand, […]
Business Intelligence and Analytics Trends in 2022
The industry giants – Microsoft, Google, IBM, Amazon, and Oracle – are still leading in the global analytics market shares. Microsoft, Amazon, and Oracle are additionally outperforming the market for all other vendors. However, it’s interesting to note that the battle among the top analytics vendors is not over “sophisticated algorithms,” but over Data Quality. […]
A Brief History of Machine Learning
Machine learning (ML) is an important tool for the goal of leveraging technologies around artificial intelligence. Because of its learning and decision-making abilities, machine learning is often referred to as AI, though, in reality, it is a subdivision of AI. Until the late 1970s, it was a part of AI’s evolution. Then, it branched off […]
The Future of Data Engineering
A Data Engineering Guide reveals that while people often rely on the work of data engineers — depending on Siri for quick solutions or being enchanted by custom recommendations or promos — they often do not realize that these advanced tools can provide accurate results only because of the hard work put in by data […]