The AI industry has major growth ahead, analysts say. The global artificial intelligence industry is expected to grow to $554 billion in total revenue by 2024, according to market research firm IDC. That amounts to some serious growth for an industry that generated revenue of $51.5 billion in 2021, according to market researcher Gartner. Virtually every industry is being disrupted by AI, automation and robotics. Whether it be machine learning, smart applications and appliances, digital assistants or autonomous vehicles, companies that aren't investing in AI products and services risk becoming obsolete.

Pinterest is moving deeper into e-commerce with some more features it announced at its annual advertiser summit. The platform says users have long been asking for a way to shop directly on Pinterest and you can now complete some purchases without leaving the app. The in-app checkout feature is currently in beta for some Shopify sellers in the US. Pinterest plans to expand access in the US this year. It will contact folks who run stores through Shopify with more details soon.

If you want a decent pair of true wireless earbuds at a good price, we've found them. Amazon is selling the JBL Live 300TWS earbuds for $48.70. The deal price covers the white model only. When we reviewed these earbud, we gave them 3.5 out of 5 stars. "Those on a budget will find the JBL Live 300 TWS's many features, equalizer, and good sound quality (with tweaking) worthy of consideration," we said.

Apple has quietly confirmed that the much-anticipated rollout of its iOS 15.4 update is coming sometime next week. It also includes 37 new emoji, including a pregnant man, a motorcycle tyre, a slide, a disco ball, a troll with a club, coral, kidney beans and a low battery. There's also a new'gender neutral' voice for its smart assistant Siri, called Quinn, recorded by a member of the LGBTQ community. Apple's confirmation follows the unveiling of new products on Tuesday, including the third generation phone in its'budget' iPhone SE line, starting at £419 ($429). Since the start of the pandemic, getting Face ID to automatically recognise our face to unlock our iPhones has been a bugbear as we've had masks over our faces.

Americans welcomed voice assistants into their homes on claims that Siri, Alexa and Google Assistant would be like quasi-human helpers, seamlessly managing our appointments, grocery lists and music libraries. From 2019 to 2021, the use of voice assistants among online adults in the United States rose to 30 percent from 21 percent, according to data from market research firm Forrester. Of the options, Siri is the most popular -- 34 percent of us have interacted with Apple's voice assistant in the last year. Amazon's Alexa is next with 32 percent; 25 percent have used Google Assistant; and Microsoft's Cortana and Samsung's Bixby trail behind with five percent each.

Hey, S voice, where can I get some free food nearby?

In 2022, businesses will be using artificial intelligence (AI) in more innovative ways than ever before. Some of the most popular ways that AI will be used in businesses include: Chatbots will be used to communicate with customers. AI will be used to analyze data and make decisions. Robotics will be used to automate tasks. AI will be used to create new products and services. Virtual assistants will be used to manage tasks. AI will be used to improve customer service. Predictive analytics will be used to make decisions. It allows users to interact with digital objects using their smartphones. While mixed reality combines real world elements with virtual ones. These vehicles can drive on highways and through city streets without assistance from a driver or any human behind the wheel. They also protect organizations against malicious attacks. By 2030, this number is projected to grow to 3.1 billion. These people generate more than 70 percent of all greenhouse gas emissions and over 80 percent of global water usage.

If you missed the sale last month on the Nest Thermostat, you have another chance to grab the smart home gadget for even less now. Amazon has the snow colored WiFi thermostat for $93, or 29 percent off its normal price. This isn't an all-time low -- the device briefly dropped to $80 during Black Friday weekend last year -- but this is the best price we've seen since then. Google debuted the Nest Thermostat in 2020 as an affordable alternative to the Nest Learning Thermostat. You'll notice a big difference in the design of the two gadgets: the Nest Thermostat is slimmer than its Learning counterpart and has a mirrored display, along with a touch-sensitive bezel that you can use to manually adjust temperature settings.

If you're interested in obscure things, there are two reasons why your searches for items and products are likely to be less related to your interests than those of your'mainstream' peers; either you're a monetization'edge case' whose interests will only be catered to if you're also in the upper categories of economic purchasing power (for example, products and services related to'wealth management'); or the search algorithms that you're using are leveraging collaborative filtering (CF), which favors the interests of the majority. Since collaborative filtering is cheaper and more established than other potentially more capable algorithms and frameworks, it's possible that both these cases apply. CF-based search results will prioritize items that are perceived to be popular among'people like you', as best the host framework can understand what kind of a consumer you are. If you're wary of providing data profiling information to the host system – for instance, not inclined to press the'Like' buttons in Netflix and other video content services – you're likely to be classified quite generically in your earliest interactions with the system, and the recommendations you receive will reflect the most popular trends. On a streaming platform, that could mean being recommended whatever shows and movies are currently'hot', such as reality TV and forensic murder documentaries, irrespective of your interest in these.

Have you wondered what powers the highly personalized recommendations on your mobile device from Amazon? Do you wonder how Uber determines arrival times of your booked app cab? I am sure most of you have wondered at some point in time, how Snapchat uses filters or influences stories. These are everyday examples of machine learning algorithms at work. The common thread is acting quickly on business intelligence for an edge in highly competitive industries.