Tech predictions for 2023 and beyond by Werner Vogels

Interesting. article CTO Amazon with predictions for next year. He gave it. 5 forecast

Prediction 1: Cloud technologies will redefine sports as we know them Digital transformation has reached the sport. There are several sides: data capture using sensors or video, data analysis and then gaining insights right during the game. This helps the participants themselves, for example, the coach in realtime can see how things are with his players. (flashback Moneyball) This helps the viewers - it just becomes more interesting to watch the match with overlaid analytics, we get a conditional augmented reality This helps the creators of broadcasts - you can, for example, do automatic cutting of interesting moments. This helps sports event organisers - video analytics to automate entry to competition or stadium shopping

Prediction 2: Simulated worlds will reinvent the way we experiment The story here is that we are already doing simulations to solve different problems, but in the future it will become even easier to do them, since there is a large amount of data, there is an infrastructure to run models and then there are simple tools for modeling itself. It's funny that 15 years ago, I wrote a bachelor's degree in Biogeocenosis, where I modeled the cellular model of the release and absorption of carbon dioxide, as well as the work of winds to predict the development of climate for the coming years. 50 years. And now this type of model can be stuck on the knee:) In order to be impressed with the theme of modeling, I recommend reading Seth Lloyd’s book Programming the Universe, about which I am writing. told Separately, the author notes the development of innovations in spatial computing, when the situation in space is simulated, for example, how the lamp in your room will look, which can also be turned on in the model to understand how the lighting of the room will look like.

Prediction 3: A surge of innovation in smart energy This is a story about the fact that against the background of the energy crisis, technologies for obtaining, storing and transmitting energy will continue to develop. The author predicts decentralization in energy generation and consumption, as well as the use of ML to predict and smooth out peaks in electricity consumption and generation.

Prediction 4: The upcoming supply chain transformation The main idea here is to optimize each step of the product journey with the help of technology. The story reminded me of the Customer Journey Map, but instead of the customer, we have a product that travels along the logistics chain, which can be optimized dynamically based on understanding how each link feels and configuring dynamic routing. In general, apply what is used on the Internet for quality assurance when delivering each IP packet:)

Prediction 5: Custom silicon goes mainstream Here, the author talks about custom chips that have long challenged the standard x86/amd64 architecture and that fly perfectly in AI areas for training and as servers on the ARM architecture. The author recalls Alan Kay’s famous quote “People who are really serious about software should make their own hardware” in the context of the fact that the time has come to use the capabilities of custom chips:)

P.S. In fact, the author has a cool block. All Things DistributedWhich is interesting to read.

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