The Cloudification of the Telecoms market Last week, Nokia announced 10,000 jobs lost worldwide. Telecoms is a cyclical business with the G cycles (roughly spanning… Read More »Virtualized network functions: The cloudification of telecoms leading to a new class of applications
Data catalogs are now a significant component in the management of data in modern organizations. Those that have implemented successful data catalogs have an easier… Read More »Data Catalog: Importance, features and benefits
Today, many B2B customers are turning to B2B websites to buy their products and services outright. While B2B companies receive value from customer satisfaction within… Read More »7 Tips for B2B & B2C Portal Development that Speed Up Your Website
We all experience video streaming issues, probably on a daily basis. But now that people aren’t just streaming for entertainment, but are relying on it… Read More »Can Deep Learning Address Limited Bandwidth and Other Video Streaming Challenges?
The past year has presented the medical industry with new challenges that humanity has hardly faced before. The situation in the world has accelerated the… Read More »How Healthcare can Benefit from IoT?
According to a recent study from market research firm Global Market Insights, Growing demand for high performance servers worldwide is expected to boost the data… Read More »Data Center Server Market is Projected to Reach 100 Billion by 2027
Python is the world’s third most popular programming language in February 2021, according to TIOBE’s index. It grew over 1.52% since January. Its massive demand… Read More »Pros and Cons of using Python for Web Development
Welcome to the first installment in our series on ModelOps. This blog focuses on the importance of Data Gathering and Preparation in support of your… Read More »Maximizing Data Use and Reducing Pitfalls: Putting the Right Data Preparation Process in Place for AI
Data Science Lifecycle revolves around using various analytical methods to produce insights and applying Machine Learning techniques to do the predictions from the collected dataset. The main objective… Read More »Feature Engineering at a glance
DataOps is the use of agile development practices to create, deliver, and optimize data products, quickly and cost-effectively. DataOps is practiced by modern data teams,… Read More »What is DataOps?
