The financial sector generates a lot of valuable data, from individual purchases to large transactions. Given the enormous treasure that all this information holds, expectations of the impact of artificial intelligence (AI) in the banking sector could not be higher. It is anticipated that the industry will save more than $1 trillion by 2030 due to recent developments in AI. Faced with these amazing opportunities, many banks are beginning to take action. But how can they make the most of artificial intelligence?

I have worked in the data industry for over seven years and had the privilege of designing, building, and deploying two recommender systems (RecSys) that went on to serve millions of customers. For each chapter, I will walk through case studies and share my experience designing RecSys. This is part of my Modern Visual RecSys series; feel free to check out the rest of the series at the end of the article. We begin with a case study of Spotify to understand how RecSys works and introduce several key concepts, including a modern approach called convolutional neural networks (CNN), applied to music. Let us take a look at my personalized music recommendations from Spotify. It contains a mix of Chinese/Japanese/ English pop music with new music and old tunes going back some 20 years.

Our tech world is fraught with troubling trends when it comes to gender inequality. A recent UN report "I'd blush if I could" warns that embodied AIs like the primarily female voice assistants can actually reinforce harmful gender stereotypes. Dag Kittlaus, who co-founded Siri before its acquisition by Apple, spoke out on Twitter against the accusation on Siri's sexism: It is important to acknowledge that the gender of Siri, unlike that of other voice assistants, was configurable early on. But the product's position becomes harder to define when you notice that Siri's response to the highly inappropriate comment "You're a slut" is in fact the title of the UN report: "I'd blush if I could." Therefore, in this article I'd like to discuss the social and cultural aspects of voice assistants, and specifically, why they are designed with gender, what ethical concerns this causes, and how we can fix this issue.

Artificial Intelligence has grown massively over the past few years. You would have noticed how it is making the businesses strong and sufficient with its capabilities and power. From managing the customers at your store to improving their overall experience to providing them with personalized solutions, there is a lot that the technology can do for your eCommerce outlet. AI, though it is implemented in most businesses, is still a futuristic technology. According to a report by PwC, this technology will contribute close to $15.7Tn by 2030 to the global economy.

Similarly, companies offering travel insurance use machine learning and mathematical models to personalize the customer's buying experience.

Apple's new COVID-19 app and website provides the latest information from the Centers for Disease Control and Prevention. Apple's new COVID-19 app and website provides the latest information from the Centers for Disease Control and Prevention. Apple's new COVID-19 website and app allow users to screen themselves for coronavirus symptoms and receive recommendations from the Centers for Disease Control and Prevention on what to do next. The tool was developed in partnership with the CDC, the White House's coronavirus task force and the Federal Emergency Management Agency. Both the website and the app were made publicly available on Friday.

The digital revolution in true sense has taken the world by storm. Ever since its introduction, the service industry has shifted its focus completely towards offering personalized experiences to the customers. The travel insurance industry is also sailing in the same boat and has been using new-age technology to offer the best products and services to its customers. But if you go by the experts, artificial intelligence is the key to offering personalised travel insurance services in future. Artificial intelligence (AI) is a widely used digital tool in the insurance industry today.

The concept of smart homes is not something new. In 1975, a Scotland company developed a communication protocol that enables smart home devices to talk to each other with the help of existing electrical wires of a home. Over the years, numerous technological developments made smart homes accessible to a large number of people around the globe. If you have yet to try smart home technology a try, here are some of the main reasons why you should have it. No matter what type of neighborhood you live in, it's of the utmost importance to do everything you can to keep your home secure.

This blog will take a thorough dive into the timeline of AI, beginning from the very start, the 1940s. The term "Artificial Intelligence" was first coined by the father of AI, John McCarthy in 1956. But the revolution of AI began a few years in advance, i.e. the 1940's. Around 37% of industries have implemented AI in some form, which is a 270% increase for the past 4 years. AI has taken multiple forms over the years.

Apple launched a new app and website to inform the public about COVID-19. It includes a screening tool to help people figure out if they've caught the coronavirus, and the information is based on guidance from the Centers for Disease Control and Prevention, Apple says. The App was created in partnership with the CDC, the White House Coronavirus Task Force and FEMA "to make it easy for people across the country to get trusted information and guidance at a time when the U.S. is feeling the heavy burden of COVID-19," according to Apple. Both the app and website ask users to answer questions to help people figure out if they need to be tested. For instance, it asks if you have chest pain, difficulty breathing, dizziness, slurred speed or difficulty waking up.