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 […]
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 […]
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, […]
Impact of Data Quality on Big Data Management
As the available industry literature suggests, Data Quality (DQ) is seriously hindering the success of many big data projects. However, it is apparent that without an organized movement in favor of Data Quality for big data, nothing will actually happen to change the current scenario. In an interview with the CEO of Informatica, Anil Chakravarthy, […]
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. […]
Data Management Platform vs. Customer Data Platform
A Data Management Platform (DMP) is a storage location for all types of data – all the way from contact lists to transactional data. The data stored in a DMP is analyzed for business insights and customer intelligence. DMPs generally collate data from various business systems, such as ecommerce sites, social sites, or a CRM. […]
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 […]
Machine Learning for Organizations: Where Is It Now?
Machine learning (ML), a branch of artificial intelligence (AI), was sometimes referred to as “cognitive computing” in the past, and certain academic circles still today. Machine learning applications have been used for decades to automate complex human tasks that require analytic thinking, but recently the technology has expanded to encompass more business functions. Advanced ML […]