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, […]
Graph: A Must-Have Enterprise Technology in 2022
If 2021 was the year graph technology went mainstream, 2022 will be the year it becomes an enterprise “must-have.” Graph companies have attracted hundreds of millions of dollars in funding this year, as more organizations scale up (and out) with graph. In addition to the usual graph use cases – which include fraud detection, anti-money […]
2021 DATAVERSITY Top 20
As 2021 draws to a close, we here at DATAVERSITY HQ want to take some time to reflect on the highlights (and lowlights) of this year. What kinds of content made you jump for joy? Which Data Management topics most helped data people succeed in and advance their careers? With in-person events on hold for […]
The Pros and Cons of Synthetic Data
Data has established itself as one of the most important elements in both business and science. With the advent of big data services, companies can get access to previously unattainable advanced analytics, and researchers can find almost any imaginable dataset to draw insights from. However, all this potential is hindered by ever-pressing data privacy regulations. This is why […]
Advances in Data Architecture
The continuous growth of data has led to large corporations investing heavily in technologies around large data volumes, allowing them to gain useful business intelligence that was unavailable to their smaller competitors. The evolution of public clouds has made big data technologies accessible to small businesses and startups. By using new advances in Data Architecture, […]
3 Ways to Improve Talent Acquisition with an Effective Data Strategy
Recruiting top-tier talent is always a priority, especially as businesses look to staff back up or expand in new directions once the COVID-19 pandemic recedes. It’s a challenge made more formidable as businesses look to expand their talent searches for the dawning age of long-term remote work. A report from iHire showed that 86.2% of U.S. […]
Will AI Become the Real Deal in 2022?
Despite extraordinary advancements in the field, machine learning (ML) and deep learning have seen slow adoption in the enterprise. It’s reported that nearly 80% of enterprises fail to scale AI deployments across the organization. However, in 2022 AI will evolve to better deliver on its promise. There will be a new wave of technological advancements that will […]
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, […]
7 Factors to Consider When Deploying a Modern Data Estate
The abilities of an organization towards capturing, storing, and analyzing data; searching, sharing, transferring, visualizing, querying, and updating data; and meeting compliance and regulations are mandatory for any sustainable organization. Many companies have already invested in their data environment by deploying a traditional data warehouse, but data warehouses have many limitations. For example, most data warehouses […]
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. […]