The Emergence of AIoT

Let’s take a look at new approaches to the challenges that come with inserting the world's most energy-draining technology into lightweight, energy-efficient devices and networks.

Machine learning offers strategies to cut downtime and extend component life through predictive maintenance forecasting. Let's take a look at some of the possible solutions for the challenges there.

Data science now has an unprecedented opportunity to leverage machine learning and transform healthcare. Here's a look at how it can face up to some of its biggest challenges in the post-COVID era.

We walk you through the best practices of creating powerful location-based services for mobile apps and explore typical development mistakes undermining user acceptance.   

In this article, we explore the impact of AI on the global economy and what companies can do to balance out this technology’s pros and cons.

In this article, we discover the impact of AI automation on workforce and discuss how companies can prepare for AI-ready talent scarcity.

We review top MBaaS platforms and cover the major considerations of MBaaS implementation to look out for in your project.

Take a look at the current indicators that favor an in-house or platform-based approach to enterprise AI development, with an eye to emerging trends.

In this article, we explore the benefits and common risks companies face during AI transformation, and what can be done to address them.

With a booming increase of mobile workforce and the global spread of remote workplace, enterprises hurry up to adopt mobile-friendly productivity solution, such as SharePoint. Let’s discover what benefits it brings to employees’ everyday working life and how it improves enterprise workflows. 

From deepfake detection and autism therapy to driving safety, there are multiple applications of ML-based facial expression recognition. However, the challenges are numerous.

With the popularization of mobile apps for work and leisure, security became brands’ constant challenge. Learn how to protect your corporate mobile ecosystem and customer privacy from exploits.

Learn how real estate companies can leverage the power of big data to enhance decision making, improve customer engagement, and streamline engineering and construction.

Machine learning model training is no small feat, especially with these five challenges we review closely in this post.

Discover the current ethical challenges that organizations face when adopting AI for hiring along with our recommended ways of overcoming them.

The banking and finance sector is taking a cautious yet productive approach to machine learning deployments. Let’s review the current developments and prerequisites for further AI proliferation.

With remote work becoming the new normal, enterprises all over the world get challenged with building productive digital workplaces. Is there a solution that can help businesses succeed?

In 2020, facial recognition software is seeing new surprising developments across industries and applications. What are they?

Learn more about Apple’s foray into mobile machine learning framework development, and what capabilities it can bring to your project. 

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

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?

From social distancing trackers to mask-wearing detection, intelligent video analytics tools offer real-time object recognition in a safe contactless way. Find more in this article.

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