How Product Data makes the difference in E-Commerce

What used to be oil is now data. More and better product information provides the basis for commercial success – especially in e-commerce. It’s all about using intelligently prepared data to attract customers to your own website, offer them a unique shopping experience, and ultimately bring them to conversion. Solid, consistent and up-to-date product information is the basis for this.

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

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.

7 Reasons to Transcribe Audio to Text

Speech to Text – converting spoken language into written text: That’s audio transcription. For example, anyone who records a speaker’s presentation on a notepad is already using audio transcription. But of course, it can also be done digitally: automatic audio transcription is based on high-quality speech software that uses artificial intelligence.

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?