Does the Pandemic Reframe Political Data Science and AI in the Public Sector?

In this article, we explore how AI helps insurance companies to streamline claims processing, enhance customer profiling, and increase fraud protection.

Will facial recognition software retain its pros for businesses in the light of its privacy-hindering cons? Let’s find out.

In this article, we explore how AI can help small businesses to increase efficiency, enhance employee experience and make better strategic decisions.

Mobile phones were unwelcomed in classrooms until the pandemic placed m-learning at the center of online education strategies. But will the technology stay when students return to schools?

In this article, we explore how big data privacy policies have changed over time and how companies can adjust their strategies to stay compliant.

From the Middle Ages to the early 2020s, we trace the roots of entertainment robots and look at the technologies that make them possible.

In this article, we explore various machine learning applications that can help farmers to increase yield, meet the ever-growing demand for agricultural products, and save the environment.

Public data science projects might be controversial, but they increasingly do more for the society, too. Learn more about the applications of AI for social good.

Data science was facing a harsh regulatory environment and public skepticism until the coronavirus pandemic. What impact is it likely to have on the public sector AI strategy in the long term?

We look at the top machine learning frameworks right now, with both their positive and negative sides to be considered for an AI-centric project.

How can we navigate the AI hype cycle to identify usable real-world machine learning technologies? 

In this article we'll compare Cassandra vs HBase and see which use cases apply for either approach and where each falls short against the other.

Fintech companies are becoming dominant in many niches of the financial market. The same is true for AI within fintech. Learn more about the most impactful and profitable applications of AI in fintech.

Apache Hadoop emerged at the forefront of the big data revolution. In this Hadoop overview, we'll see how Hadoop came to be and where it stands in the current data analysis sector.

From AngularJS and React to Ionic and Lighthouse—here’s the list of the best PWA frameworks and tools to build progressive apps with in 2020.

The travel industry is on the verge of another major disruption led by artificial intelligence. In this article, we explore 10 major AI trends in travel business and suggest what to expect in the future. 

Move over augmented reality, mixed reality (MR) is coming. In this article, we share some mixed reality examples that highlight why this technology may outsell AR.

Curious about augmented reality in interior design and property development? Find answers to some of your questions in this article.

We look at the real-life examples of artificial intelligence applications in the real estate industry and suggest what to keep an eye on in the nearest future.

Find out about the ecommerce business intelligence tools to keep an eye on in 2020, and learn more about their features.

What are the differences between Xamarin.Forms and Xamarin.iOS/Android? Learn about the capabilities of each to choose right for your business app.

Maturity and feature-richness vs. rapid development with a lot of promise. Compare Flutter and Xamarin frameworks from a business perspective: current state, strengths and weaknesses, and future.

The competition from online and social commerce is too pressing for brick-and-mortar retailers today. Explore how going mobile promises to offset this effect.

If your enterprise is wrestling with IT vs Ops challenges, AIOps as a technology and culture choice might be the answer. It may even offer a critical competitive advantage if you become an early adopter.