Future of AI according to top AI experts of 2020: In-Depth Guide

Investment and interest in AI is expected to increase in the long run since major AI use cases (e.g. autonomous driving, AI-powered medical diagnosis) that will unlock significant economic value are within reach. These use cases are likely to materialize since improvements are expected in the 3 building blocks of AI: availability of more data, better algorithms and computing.

Short term changes are hard to predict and we could experience another AI winter however, it would likely be short-lived. Feel free to jump to different sections to see the latest answers to your questions about the future of AI: Read more

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Managed Security Services (MSS): Comprehensive Guide

Data security has developed significantly for the last few years. Businesses now need to implement security services to prevent themselves from cybersecurity attacks, leakages, and frauds.

As an example, Marriott has suffered a massive data breach that affected up to 500 million customers in 2018. The breach included payment information, mailing addresses, phone numbers, and passport numbers. The further investigation discovered that a disguised Remote Access Trojan (RAT) allowed hackers to gain control over the IT system. Read more

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AI-Powered Mobile Apps: A Brief Introduction

Are you looking to transform your mobile app with AI solutions? You can improve your user experience by integrating AI technologies to your app. We have compiled an introduction to AI-powered mobile apps to help you to understand how you can benefit from AI to improve your mobile apps.

How is AI impacting the mobile experience?

AI enables personalized mobile apps which helps improve user experience. This is the most common use case of AI in mobile apps. These apps can store many information about us such as our age, gender, location, hobbies, photos we like, the products we buy and much more. Read more

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33 Use Cases / Applications of Process Mining in 2020

To apply process mining in your business, it is a good idea to be aware of its possible use cases. Understanding them is the key to become acquainted with process mining. This article gathers the most common 33 use cases covering general processes, sales, finance, IT processes as well as applications in the industrial sector.

General Processes

1- Process optimization: Companies can used process mining for faster and more accurate analysis of their processes. The event logs can infer performance metrics and, they can be used to identify bottlenecks and costly steps to optimize speed. Instead of wasting time on understanding processes, companies can use their time to take potential actions. Read more

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22 AutoML Case Studies / Examples: In-Depth Guide [2020]

Though there is a lot of buzz around autoML, we haven’t found a good compilation of case studies. So we built our comprehensive list of automated machine learning case studies so you can see how autoML could be used in your function/industry.

This AutoML case study list will help us to understand what AutoML is and how you can use it in your business function. The most common application areas of autoML are decision-making and forecasting. Read on to discover how AutoML can support your business function. Read more

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