Tag: Big Data Analytics

Data Engineering Forecast 2025: Key Trends and Technologies

Data Engineering Forecast 2025: Key Trends and Technologies

Let’s explore the top data engineering trends shaping the technology landscape in 2025.

AITech Interview with Jim Kaskade, CEO at Conversica

AITech Interview with Jim Kaskade, CEO at Conversica

In your opinion, what are the biggest challenges that CMOs and CSOs face during these slow sales periods, and how can AI alleviate some of this stress? Revenue growth is hard. The biggest challenge for C-suite is understanding where and how to deploy AI automation. For revenue teams,  you can provide insights to your sellers,…

Lumeon Acquired by Health Catalyst

Health Catalyst, Inc. (“Health Catalyst,”  Nasdaq: HCAT), a leading provider of data and analytics technology and services to healthcare organizations, today announced it has successfully completed its acquisition of Lumeon Limited (“Lumeon”), a digital health company with operations in the U.S. and United Kingdom dedicated to helping provider organizations mend broken care coordination processes through automated…

Smart Cities 2024: Redefining Urbanization

Smart Cities 2024: Redefining Urbanization

In the 21st century, people are searching for an abode that will provide better public infrastructure and easily accessible resources that will make their lives easier. Traditional cities often grapple with major issues of inadequate infrastructure, huge population growth, inefficient resource and waste management, and traffic congestion, aiming at a lack of urban development. However,…

Unlocking Hidden Insights: Deep Learning and the Future of Big Data Analytics

Unlocking Hidden Insights: Deep Learning and the Future of Big Data Analytics

In the fast-growing digital world, deep learning (DL) and big data are highly used methods for data scientists. Numerous companies, such as Yahoo, Amazon, and Google, have maintained data in Exabytes, which helps generate large amounts of data with the help of big data analytics and deep learning tools and techniques. Earlier data scientists used…