Artificial intelligence (AI) programs have existed longer than many people have been alive, with the first successful applications implemented in the 1950s. The 2020s promise greater AI potential that more businesspeople can use. Although modern AI brings powerful, accurate, and easier-to-use tools, organizations struggle to get the most value in their AI investments and achieve frictionless AI. To understand […]
A Brief History of Natural Language Processing
Natural language processing (NLP) helps computers understand and use human languages. In the early 1900s, a Swiss linguistics professor named Ferdinand de Saussure died, and in the process, almost deprived the world of the concept of “Language as a Science,” which eventually led to natural language processing. From 1906 to 1911, Professor Saussure offered three […]
Transforming Data Quality with Machine Learning
Machine learning makes improving Data Quality easier. Data Quality refers to the accuracy of the data: High-quality data is more accurate, while low-quality data is less accurate. Accurate data/information supports good decision-making. Inaccurate data/information results in bad decision-making. So, intelligent decision-making can be supported by supplying accurate information through the use of machine learning. Machine […]
Data Science vs. Machine Learning vs. AI
In the data economy, data is king. Today, any business – small, medium, or large – thrives on its data assets. The recent trend of offering data-driven insights as a service has opened up a profitable revenue channel for businesses. Cloud computing and hosted analytics have brought data-as-a-service to the desktops of ordinary business users, […]
Are Data Scientists Needed in the Self-Service Analytics World?
As the world becomes increasingly data-driven, businesses are turning to self-service analytics to enable business users to perform their own data analysis tasks. In self-service analytics, business users can access and analyze data without assistance or support from IT personnel or data scientists. Direct access to ML-powered analytics platforms allows them to make better business […]
Machine Learning 101
Machine learning (ML) is a subfield of AI that helps train machines to make decisions or complete tasks independently by studying and learning from data. Machine learning enables computers to learn, understand, and make decisions or perform tasks like humans without explicit programming. Machine learning includes the process of building mathematical models from sample historical data […]
How to Build a Career in Data Science
Considering a career in Data Science? Good news: The U.S. Bureau of Labor Statistics estimates that the employment rate for data scientists will grow by 36% between 2021 and 2031, with 40,500 more jobs expected to be created in that time. As the amount of data generated globally increases at a rapid pace, so too does the […]
Making the Business Case for AI
Having made the suggestion the organization you work for needs artificial intelligence (AI) to support future growth, you are now required to make a presentation to the board of directors and convince senior leadership to invest in AI. Below are a few key considerations to consider while making the business case for AI. In terms […]
Advanced Analytics Use Cases
In 2023, organizations that switch to advanced analytics will be better positioned to leverage new opportunities in their respective industries. Increasingly, with the use of automated data analytics, companies are turning to analytics systems and advanced analytics use cases for strategy transformation and digital strategy. Advanced analytics systems are gradually upgrading many companies, creating business […]
Machine Learning Examples and Applications
A subfield of artificial intelligence, machine learning (ML) uses algorithms to detect patterns in data and solve complex problems. Numerous fields and industries depend on machine learning daily to improve efficiency, accuracy, and decision-making. Recently, ML technologies have been reinforced by two subfields of their own: deep learning (DL) and computer vision. Read on for real-world examples […]