How AI in Traffic Management is Helping to Ease Traffic Congestion

The rapid advancement of artificial intelligence (AI) has brought about a sea change in road traffic management. AI can now predict and control the flow of people, objects, vehicles and goods at different points on the transportation network with great accuracy. In addition to providing better service for citizens than ever before, AI is also making it possible to reduce accidents by optimizing flows across intersections as well as improving safety during periods when roads are shut down due to construction or other events. Furthermore, AI’s ability to process and analyze vast amounts of data has allowed for effective mass transit, such as ride-sharing services. So how is AI revolutionizing road traffic management?

An Introduction to Machine Learning Datasets and Resources

Machine learning is one of the hottest topics in tech. The concept has been around for decades, but the conversation is heating up now thanks to its use in everything from internet searches and email spam filters to recommendation engines and self-driving cars. Machine learning training is a process by which one trains machine intelligence with data sets. To do this effectively, it is important to have a large variety of high-quality datasets at your disposal. Fortunately, there are many sources for datasets for machine learning, including public databases and proprietary datasets.

Human in the Loop: The Human in the Machine

Man in the machine – a buzzword familiar from science fiction novels of the early 20th century. What this term is about in the 21st century is clear: it is about Artificial Intelligence and Machine Learning. The development and training of AI requires the intervention of natural intelligence at many points: human in the loop. In this loop, the human acts in a similar way to a teacher.

5 Ways to Integrate AI in Your eCommerce Shop

The still-ongoing pandemic has pushed many people towards online shopping permanently. And this gave a staggering rise to the ecommerce industry. During the pandemic, there has been a 50% growth in the ecommerce market.

And, as more and more people opt for ecommerce businesses over conventional retail, it is becoming important to integrate artificial intelligence (AI) for efficiency. Taking such a step can prove beneficial for many reasons; driving customer engagement, detecting fraud, retaining customers, and enhancing the shopping experience.

Big players are already deploying AI, and here are five ways you can start leveraging it to grow your ecommerce business.

AI in the Workplace and How It Supports Us

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Over the last decade, there was significant fear that Artificial Intelligence (AI) will replace all humans at the workplace. However, those fears were totally unfounded, and today we work more efficiently and effectively, side by side, with smart algorithms.

According to IDC, enterprises across the planet will spend approximately $656 billion this year on future-of-work technologies. The bulk of that money will go towards AI-powered software for enterprise applications. As most of us will work remotely in the coming years, the industry will also focus more on overcoming challenges related to collaboration and productivity.

Let’s look at how AI is already supporting us at work, transforming how we get things done.

The Future of Marketing is AI

With the rapid adoption of intelligent technology, marketers now have access to a wealth of data-driven insights that were previously unimaginable. These platforms help them to better understand their target audiences while also relieving the workload on team members so they can focus more time on converting customers into raving fans! It’s hard to imagine a company function that could benefit more from artificial intelligence than marketing (AI Marketing).

Its core activities include understanding customer needs, matching those up with products and services available on the marketplace, and persuading people to buy what you’re selling.

Top 9 Ways to Overcome or Prevent AI Bias

Smart algorithms are only as good as their training data sets. As such, it’s not surprising that algorithmic bias (or Bias in Artificial Intelligence = AI Bias) increasingly pops up when Artificial Intelligence (AI) and Machine Learning (ML) models go into production.

AI bias is dangerous because it could easily lead to poor decisions with disastrous consequences. I’m sure you have come across examples of AI bias in the news, like AI’s inability to recognize minorities and so on. So, it’s not hard to imagine businesses finding themselves in a legal nightmare.

How do you overcome or prevent AI bias?

The Use of Artificial Intelligence in Google Search Engine Algorithms

The search engine giant Google has always been focused on understanding and responding to its users’ needs. Over the past few years, we have witnessed countless changes in Google’s algorithm, and it’s always been something important to industries.

However, while most of Google’s algorithms changes weren’t earth-shattering, this current evolution just might be it. The introduction of its latest Artificial Intelligence (AI) algorithm called MUM is something we haven’t seen before.

7 Unusual Use Cases for AI

Whenever we discuss the key benefits of artificial intelligence (AI), we think of its application in connected cars, FinTech, and healthcare. While we first encountered smart algorithms in the form of Amazon product recommendations and personal assistants like Siri, this technology has evolved to become so much more.

Some use cases in healthcare and software development were groundbreaking (to say the least). However, every now and then, we come across some surprising applications for new technologies.

Let’s take a look at seven unusual real-world use cases for AI.

How the Big Players Are Deploying AI

While the last couple of years has undoubtedly been difficult for all types of businesses, it didn’t slow down development within the artificial intelligence (AI) and machine learning (ML) space

According to IDC, as much as 65% of organizations have accelerated the use of digital technologies this year. In this case, technologies like AI will transform existing business processes to boost employee productivity, drive customer engagement, and enhance business resiliency.