
Top Four Data Trends IT Professionals Need to Be Aware of in 2024
2023 was a terrific year in the IT industry, but 2024 is set to bring some exciting and groundbreaking developments that will help IT professionals and data scientists develop innovative software and tools to strive in the competitive landscape. The most recent technological advancement in the data landscape is quite commendable. In 2024, IT enterprises…

Navigating the Data Maze in Mergers and Acquisitions: A Guide to Seamless Data Integration
In the business world, when major companies decide to combine, it’s a big deal. These moves shake up the norm and can turn not only the organizations, but the entire industry on its head. But as the dust settles on the agreement, a new challenge looms large on the horizon: how to bring together two…

Revolutionizing the Healthcare Industry With Collaborative Robots
The term robot was invented by the Robotics Institute of America in the late 1940s as a machine that executes mechanical functions just like human beings but lacks the same “sensitivity” as a human. Initially, robots were designed and employed to work like humans, especially in the manufacturing industry, FMCG industry, and automotive industry, but…

Daniel Langkilde, CEO and Co-founder of Kognic – AITech Interview
To start, Daniel, could you please provide a brief introduction to yourself and your work at Kognic? I’m an experienced machine-learning expert and passionate about making AI useful for safety critical applications. As CEO and Co-Founder of Kognic, I lead a team of data scientists, developers and industry experts. The Kognic Platform empowers industries from…

Unlocking potential: How AI is transforming drug development and material science
In recent years, artificial intelligence (AI) in the pharmaceutical industry has gained significant traction, especially in the drug discovery field, as this technology can identify and develop new medications, helping AI researchers and pharmaceutical scientists eliminate the traditional and labor-intensive techniques of trial-and-error experimentation and high-throughput screening. The successful application of AI techniques and their…

Quantifiable Customer Experience: 3 Data-Driven Strategies for CIOs
Over the last few decades, innovative technologies have changed the future of business dynamics. Therefore, every industry uses the latest technologies to move forward, and CIOs are responsible for driving such technological changes within organizations. According to Globe Research, it has been witnessed that more than 27.7% of digital transformation for better customer experience (CX)…

Navigating the Future With the Integration of Deep Learning in 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…