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
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.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
Learning from the competition also means learning how to win. This has been true for a long time. Moreover, the Internet offers many opportunities to conduct a competitor research analysis quickly, comprehensively, and reliably.
But the question is, how does it work? The following provides answers to questions about online competitive analysis.Read more
Artificial Intelligence (AI) and its subset Machine Learning (ML) are at the heart of innovation for digitally transformed businesses. However, ML, in particular, needs to be highly interoperable for smart technologies to be truly disruptive and innovative at scale.
If there was no interoperability, you could bet that AI development would be limited and only accessible to big tech. This is because only tech giants have access to the necessary resources and, more importantly, the most data that makes continuous and meaningful learning possible.Read more
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.Read more
House or houses, the house or just house – how do these small differences affect SEO? Stemming and stop words have been a controversial topic for search engine optimization for years. Is it worth paying attention to these nuances? Or are inflections, prepositions and articles irrelevant for a successful ranking on Google?Read more