Heavily shattered by the pandemic, the retail sector is on the lookout for innovation. Among the many technologies retailers focus on, artificial intelligence is an undeniable leader. The market of artificial intelligence solutions for retail is projected to reach $23.32 billion by 2027, quite a leap compared to $5.06 billion in 2021. Within AI, computer vision and image recognition have become notable areas of interest for the retail sector -- the global market of retail image recognition software is expected to grow at a CAGR of 22% and attain the value of $3.7 billion by 2025. Bringing image recognition into their technology mixes, retailers hope to optimize inventories, simplify checkouts, and boost customer experience.

It wasn't too long ago that artificial intelligence (AI) technology was merely a concept from science fiction movies. But today, AI is changing the status quo of entire industries, including marketing technology (martech). In the marketing sphere, we are increasingly seeing AI capabilities leveraged in martech tools: the use of automation capabilities used to support chatbots, personalize content, and even manage social media platforms. As consumer expectations shift, and agile, disruptive retail players enter the ecosystem, marketers need to ensure that they are still able to compete for consumers' attention across an increasing number of channels. For these marketing teams, this means ensuring any visual assets used are both accurate and compelling enough in a competitive landscape to convert consumers into paying customers.

I find them incredibly irritating. Those images you have to click on to prove that you are not a robot. If you are just one click away from a nice weekend away, you first have to figure out where you can see the traffic lights on 16 tiny fuzzy squares. Google makes grateful use of these puzzling attempts. For one thing, the company uses artificial intelligence to train its image recognition software.

Recent advancements in artificial intelligence and machine learning have hugely contributed to the growth of Image Recognition and Object Detection in retail. While Image Recognition and Object Detection are used interchangeably, these are two different techniques. Image Recognition is the process of analyzing an input image and predicting its category (also called as a class label) from a set of categories. For instance, consider an automatic store checkout scenario. The user displays an SKU in front of a camera that is powered by an Image Recognition software. The software, when trained on all the SKUs present in the store, can predict the SKU shown by the user as one among all the SKUs.

Anything that changes the way that people use social media is going to change social media marketing. Based on that fact alone, it only makes sense that AI is going to have a big impact on user activity and online marketing. Keep reading to learn more. Before we delve into tools like chatbots, image recognition software and marketing strategies using AI, we need to mention significant events that have changed how we're allowed to use social media. Events like Cambridge Analytica's role in the 2016 US election and more recently the streaming of terrorist acts on social media that have been game-changers for social media owners and users.

AI is making the customer experience more personalized than what most marketers would have ever thought to be possible. Companies are already using artificial intelligence to make their websites, emails, social media posts, video and other content better tailored to what customers want right now. This is going to re-energize the push towards higher customer expectations even more, leading to not just steps forward in the way brands interact with their customers, but leaps ahead. How can you keep pace with this exponential change? Start adopting the AI methods that are relevant to your industry, and to your business, today.

It starts with marketing data – and it continues with artificial intelligence (AI). AI is making the customer experience more personalized than what most marketers would have ever thought to be possible. Companies are already using artificial intelligence to make their websites, emails, social media posts, video and other content better tailored to what customers want right now. This is going to re-energize the push towards higher customer expectations even more, leading to not just steps forward in the way brands interact with their customers, but leaps ahead. To give you an idea of what's on the table right now, here's a look at the different ways artificial intelligence is set to ramp up personalization in 2018.

A team of Google researchers has created psychedelic stickers that can fool image recognition software into seeing objects that are not there. Using a toaster as an example, the team produced colourful computer-generated patterns by sampling hundreds of photographs of the appliance. When the patterns were put next to another item, such as a banana, many neural networks saw a toaster instead. The team said the method could be used to "attack" image recognition systems. "These adversarial patches can be printed, added to any scene, photographed, and presented to image classifiers," the researchers said.

AI is making the customer experience more personalized than what most marketers would have ever thought to be possible. Companies are already using artificial intelligence to make their websites, emails, social media posts, video and other content better tailored to what customers want right now. This is going to re-energize the push towards higher customer expectations even more, leading to not just steps forward in the way brands interact with their customers, but leaps ahead. How can you keep pace with this exponential change? Start adopting the AI methods that are relevant to your industry, and to your business, today.

Advances in artificial intelligence mean applications increasingly can take on image recognition capabilities that allow them to identify objects, detect the age of human faces and screen out adult content. The Department of Homeland Security has worked for several years to implement a biometric monitoring system to verify travelers in U.S. airports, and they recently found success with a Customs and Border Protection pilot. The system uses facial recognition software to compare photos of passengers against a database, allowing DHS officials to identify travelers who have overstayed visas or are wanted in criminal investigations. These developments underscore the need for the government to remain abreast of ways to manage complex technology and maintain standards of living. Image recognition software has real-world implications for local governments and can help officials efficiently integrate and manage assets.