Monthly Archives: December 2022

Workers Ready to Embrace AI: 66% Want to use AI in the Workplace but Highlight Skill and Education Gaps

New research published by SnapLogic, a leader in intelligent integration and enterprise automation, reveals attitudes towards AI in the workplace are warming up: with almost two-thirds of workers reporting that they like the idea of using AI in their role, either currently or in the future.

Video Highlights: Change Data Capture With Apache Flink

The featured video resource provided by Decodable is a webinar in which CDC experts provide an overview of CDC with Flink and Debezium. There is a growing role Change Data Capture (CDC) plays in real-time data analytics (specifically, stream processing with open source tools like Debezium and Apache Flink). CDC lets users analyze data as it’s generated by leveraging streaming from systems like Apache Kafka, Amazon Kinesis, and Azure Events Hubs to track and transport changes from one data system to another.

AutoML- The Future of Machine Learning

In this contributed article, Ankush Gupta and Kavya Shree of FischerJordan, explore the scope, use cases and challenges of AutoML and how data scientists and AutoML can have a future together. The authors discuss the causes driving the use of AutoML, the benefits and challenges associated, and major providers in the space. They conclude by analyzing the parts of the data science and ML process that can/cannot be automated and if AutoML will replace data scientists / both will go hand-in-hand.

Heard on the Street – 12/27/2022

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Snowflake vs. Databricks – Who has the Edge?

Fivetran recently unveiled the results of a new data warehouse benchmark report that revealed just how close the competition is among five of the most popular data warehouses.

10 Tips to Ensure Effective Infrastructure Monitoring 

In this special guest feature, Adrian Phillips who leads product marketing for the Infrastructure Monitoring solutions at Dynatrace, believes there’s too much at stake to allow an oversight to result in a security breach or downtime. In this article, you’ll discover 10 tips to ensure your infrastructure monitoring is effective.

How Will Artificial Intelligence Impact Investing in 2023 and Beyond

In this contributed article, IT and digital marketing specialist Natasha Lane points out that artificial intelligence has already permeated our everyday lives. We see it everywhere, even when we’re not aware of it. From the algorithm that drives our online searches to the app we use on our phones, AI is all around us. What has it done for the world of investing, and what can we expect in 2023 and beyond?

Data Leaders Looking to Data Observability to Overcome Data Quality, Cost and Pipeline Concerns

Acceldata, a market leader in data observability, conducted a survey of 200 data executives and found that they have major concerns including the lack of data pipeline visibility. Below are additional highlights from the results.

New Research Shows that 77% of Businesses Using Natural Language Processing Expect to Increase Investment

More than three-quarters of businesses with active natural language processing (NLP) projects plan to increase spending on in the next 12 to 18 months, according to new data from, a leading company in artificial intelligence (AI) for language understanding. The finding is one of many data points culled from a recent survey and detailed in’s new report, The 2023 Expert NLP Survey Report: Trends driving NLP Investment and Innovation.

The Most Common Bias in Data Is Gender Bias — Here’s How to Prevent It

In this special guest feature, Michaël Pilaeten, learning and development manager for CTG’s European operations, explores why data bias exists, and the impact it creates. Then, he identifies major areas in which the data bias impacts women on a daily basis to showcase the level of severity. Lastly, he provides key solutions and strategies to combat data bias.