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Category: Data Science


Data Science

When should data scientists try a new technique?

January 26, 2023

Via: Tech Xplore

If a scientist wanted to forecast ocean currents to understand how pollution travels after an oil spill, she could use a common approach that looks at currents traveling between 10 and 200 kilometers. Or, she could choose a newer model […]


Data Science

IBM says quantum computing could be a big risk to the future of encryption

January 18, 2023

Via: Techradar

A report(opens in new tab) from IBM has claimed quantum computing poses an “existential risk” to the current encryption protocols that secure our most sensitive data, like digital transactions. Protocols like public key cryptography (PKC) are said to be vulnerable […]


Data Science

What Role Does Big Data Have on the Deep Web?

January 11, 2023

Via: SmartData Collective

However, one thing is certain: advances in big data technology have played a huge role in driving changes in the deep web. It is a good idea for database developers, programmers, online businesses and other Internet technology professionals to learn […]


Data Science

5 Current Trends in Big Data for 2022 and Beyond

December 1, 2022

Via: SmartData Collective

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, […]


Data Science

What Data Scientists Must Know About Italy’s Tech Credentials

November 23, 2022

Via: SmartData Collective

The demand for AI and data science professionals is growing all over the world. Many data scientists are pursuing careers in Europe and Asian, which means that they have to be aware of the opportunities and requirements abroad. Italy is […]


Data Science

5 modelops capabilities that boost data science productivity

October 24, 2022

Via: Info World

In the State of Modelops 2022 report, 51% of large enterprises had done early-stage pilots or experiments in artificial intelligence but have yet to put them into production. Only 38% reported they can answer executive questions on the return on […]


Data Science

The importance of monitoring machine learning models

October 3, 2022

Via: Info World

Agile development teams must ensure that microservices, applications, and databases are observable, have monitoring in place to identify operational issues, and use AIops to correlate alerts into manageable incidents. When users and business stakeholders want enhancements, many devops teams follow […]


Data Science

5 Ways B2B Companies Can Use Analytics for Pricing

August 31, 2022

Via: SmartData Collective

Analytics technology is very important for modern business. Companies spent over $240 billion on big data analytics last year. That figure is expected to grow as more businesses discover its benefits. There are many important applications of data analytics technology. […]


Data Science

How Data Analytics can Help you Bolster Your Career Performance?

May 27, 2022

Via: SmartData Collective

One of the most buzzing terminologies of this decade has got to be “data analytics.” Companies generate unlimited data every day, and there is no end to the data collected over time. This content can be in the form of […]


Data Science

How Big Data Analytics & AI Combined can Boost Performance Immensely

May 9, 2022

Via: SmartData Collective

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. Consumers are presented […]


Data Science

Data Analytics Technology is Positively Disrupting the World of Sports

April 25, 2022

Via: SmartData Collective

In recent years, organized sports have been steadily changed by big data. The news programs and sports updates shown on television have been made to be more entertaining, partly because of research conducted and the information analyzed. This information is […]


Data Science

Top Benefits of Using Docker for Data Science

February 3, 2022

Via: SmartData Collective

Docker is one of the two most popular DevOps platforms for data scientists. There are over nine million Docker accounts and the number of developers using Docker is growing 30% a year. There are a lot of compelling reasons that […]


Data Science

5 Ways Where Data-Driven Analytics Reshaped The Software Industry

February 3, 2022

Via: SmartData Collective

Thanks to the rapid digital transformation, the software industry is one of the fastest-growing industries globally. Data analytics helps to determine the success of the business. Although the COVID-19 pandemic harmed several businesses, the software industry didn’t suffer much of […]


Data Science

Top 15 Data Science Trends and Predictions For 2022

January 3, 2022

Via: Big Data Analytics News

The rise of data science as a field of study and viable application throughout the last century has prompted the improvement of technologies, for example, deep learning, natural language processing, and computer vision. Overall, it has empowered the development of […]


Data Science

Best practices for developing governable AI

December 14, 2021

Via: Info World

Building and deploying strong, robust artificial intelligence (AI) and machine learning (ML) models is complex and challenging work. If you are like many data science and machine learning leaders that I have spoken to lately, you are having conversations with […]


Data Science

How CI/CD is different for data science

November 23, 2021

Via: Info World

Agile programming is the most-used methodology that enables development teams to release their software into production, frequently to gather feedback and refine the underlying requirements. For agile to work in practice, however, processes are needed that allow the revised application […]


Data Science

3 ways to use data, analytics, and machine learning in test automation

October 18, 2021

Via: Info World

Just 10 years ago, most application development testing strategies focused on unit testing for validating business logic, manual test cases to certify user experiences, and separate load testing scripts to confirm performance and scalability. The development and release of features […]


Data Science

Top 5 Mistakes Companies Make with Data Science

October 1, 2021

Via: Big Data Analytics News

Today, such concepts as “big data” and “real-time” analytics are strongly entering the enterprise world. Data-driven decision-making has proven to outperform intuition and questionable judgement. How can companies tackle advanced data technologies to achieve their goals? Which issues can they […]


Data Science

Writing the Ideal Resume for Your Next Job in Data Science

September 27, 2021

Via: SmartData Collective

While it might sound ironic that high-tech fields such as data science still require you to submit a resume, even the most cursory look over a list of job openings should prove this to be true. Managers and HR department […]


Data Science

Big Data: How Are Businesses Benefiting From It?

August 30, 2021

Via: Big Data Analytics News

Technological advancements have empowered businesses to make the right decisions for stability and growth. Big data is the perfect example that you can consider in this case. It allows you to assess all the offline and online information you can […]