AI is increasingly feared as a people replacer, but in actuality, it’s running operations that people simply couldn’t perform within a reasonable timeframe or without a tremendous amount of undue effort. Behind the scenes, Artificial Intelligence has been a popular area for investment. In the UK alone – and only trailing the US and China – the sector saw £9 billion of investment growth just between 2019 and 2021. All of this investment is bound to come to fruition over the next few years, but right now, the foundational applications of AI are already making an impact in several different industries, which may grow with further developed tech being deployed.
Enhancing the live video streaming experience
Live streaming is increasingly accessible. Of course, Twitch is the big platform for live streaming, and has a couple of competitors like Discord and Kick, but many social media platforms also offer live video. Facebook, Instagram, and TikTok are all in the race. Its applications can go a bit further, though, as shown in live casino games.
Hosted by dedicated live casinos, these games are not only viewable live, but playable in real-time. Through some additional hardware and a specialized UI, the program can read what’s happening on a table of roulette or blackjack and the input of the players. The best live casinos offer a whole host of these games, from live roulette to live game shows like Dream Catcher, and all of them show the player’s winnings come in as the live game confirms its outcomes. Even Netflix has been trying to get into live video, but has had some rather high-profile struggles.
Artificial intelligence can greatly enhance the experience. One of the issues with live streaming is its main selling point. Being live, it’s far more difficult to stop copies and even uphold quality. AI can assist with video compression, help to stave off copyright infringements, and adapt the quality per the end user.
Aiding the battle against climate change
Climate change is the single biggest issue facing humankind right now, and while politicians twiddle their thumbs, a few private companies are using all of the tech that they can to get to grips with the crisis. According to the BCG Climate AI Survey of CEOs taken in 2022, nearly 90 percent of AI and climate-facing businesses in the public and private sectors see AI as essential in solving the issues posed by climate change.
Right now, AI is already an available tool to empower the battle against climate change. As has been extensively listed, there are five ways AI can be used to distill raw data into useful information, speed up weather modeling and scientific simulations, optimize heating and cooling systems in buildings, and forecast storm movement. Climate change is a huge problem with so many potential data points to consider, so AI should be applied across the board to make human efforts much more streamlined and efficient.
Enhancing the productivity of labor forces
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There are understandable fears that AI could have the capacity to replace some jobs, with many people picturing AI-powered machines being integrated into workplaces like warehouses. Generative AI, however, has the capacity to instead enhance the productivity of workers to make their hours more valuable. Once generative AI has nailed natural language, some 25 percent of work time spent on aspects like paperwork can be spent elsewhere.
Crucially, however, while generative AI can bolster the productivity of labor forces, groundwork is needed beyond the software. Employers will need to invest in their workers with training programs. This includes training them how to perform the heightened jobs with the additional time made by the AI programs, and even getting them ready for a new job at a higher level. With the time made available by automation, the workers need to be elevated to make full use of artificial intelligence and its transformative potential.
Artificial intelligence can offer a tremendous boost to these industries and many, many more if applied responsibly, but in all instances, people will still be needed to guide, react to, and make the most of the benefits that AI can deliver.