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 […]
Data Architect vs. Data Engineer
Data careers are becoming increasingly important and popular all across the globe, simply because “data” is the new currency of the data economy. The pandemic gave the needed push to accelerate the digital transformation of global businesses, and currently, the primary market differentiator is an enterprise’s data infrastructure readiness. This data infrastructure comprises systems, processes, […]
The Reskilling Revolution: Enterprise and Education Must Work Hand in Hand
We are on the brink of a “reskilling revolution,” according to the World Economic Forum (WEF). The new jobs emerging in the global economy will require a different set of skills, more in tune with the digital era. As a result, the demand for workers with specialist data education and skills, like data scientists and data […]
Why I Believe the Hyperautomation Hype – and You Should Too
Click to learn more about author Mathias Golombek. Just when you’d got to grips with automation, along comes hyperautomation. The buzzword cynics will think that’s a bad joke, a Will Farrell-style parody of a “top trend to watch!” from yet another thought leader. I’d usually count myself among those cynics, but on this occasion, I’m sold […]