Machine learning is a subset of Artificial Intelligence (AI) which uses algorithms to learn from data. If you are familiar with AI as it has been through the news recently in regards to fending off cyber attacks or causing self-driving cars accidents then this will be easy for you understand. The idea that machines can “learn” without being programmed by humans goes back further than just recent years though; think about the first computers in the history of machine learning and how they could only do one thing at a time.Read more
All about Human Intelligence & Artificial Intelligence – differences, strengths and weaknesses, human AI and more
Artificial intelligence has been a fascinating topic for decades, but now the technology is becoming more accessible. But does it have anything to offer us? What are the differences between human and artificial intelligence and what does the resulting human AI bring us?
We will answer these questions in this article.
There are many different types and quality dimensions of data that contribute to an artifical intelligence (AI) model. The type and quality matter a lot, but so does the diversity. When it comes to models, accuracy is determined by how much variability there is in your dataset- more diverse means less bias because you have more options on what features exist within your dataset.Read more
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?Read more
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.Read more
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.Read more
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.Read more
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.Read more
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.Read more
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?Read more