The Emergence of AIoT

In this overview of AI in architecture, we'll look at emerging tools, systems and ideas related to AI in architecture — as well as some of the obstacles to automation.

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 look at the capabilities of R vs Python in data science applications across a range of essential characteristics.

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.

We examine a few current broad indicators and look at how the wider data science sector might need to reconcile the volatile conditions of 2020 and beyond.

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.

It’s a long-standing debate we’re looking to dispel here with our expert’s review of the two renowned Python frameworks.

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.

We explore how different applications of natural language processing can help businesses overcome their challenges in customer service, HR, and cybersecurity.

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. 

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?

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.