Now that 2021 has come to a close and leadership teams once again look to position their organizations for opportunities and challenges on the horizon, there’s no shortage of questions about what to expect in 2022 and beyond. Will technology fix the global supply chain crisis? Will “citizen data analysts” become the most important people […]
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 […]
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. […]
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 […]
The Evolution of Natural Language Processing: 2021-2022
Last year, I wrote about my top four predictions for natural language processing (NLP) in 2021. As we approach 2022, a lot has happened in the world of artificial intelligence (AI) and machine learning, and NLP is behind a lot of that momentum. Growth has continued steadily, with 90% of tech leaders indicating that their NLP budgets have increased […]
Transforming Analytics with a Modern Data Stack
There’s been a lot of talk about the modern data stack recently. Much of this focus is placed on the innovations around the movement, transformation, and governance of data as it relates to the shift from on-premise to cloud data warehouse-centric architectures. When it comes to the analytics layer – which sits on top of the modern […]
Data Literacy: A New Requirement for Consumers and Businesses
Did you know that only one-third of us can confidently understand, analyze, and argue with data? That’s the essential question posited by the Data Literacy Project, an organization that wants to “ignite discussion and develop the tools we need to shape a successful, data-literate society.” Achieving consumer Data Literacy at a mass scale is an ambitious […]
Data vs. Disaster: 5 Ways Analytics Is Helping Tackle Climate Change
With the recent Intergovernmental Panel on Climate Change (IPPC) report painting a worrying picture of our battle against climate change, we will explore five ways analytics can help turn the tide. The UN Secretary-General, Antonio Guterres, called the report “a code red for humanity,” adding that “the alarm bells are deafening and evidence irrefutable.” U.S. President Joe […]