This can in part be explained by a lack computing power within individual households, but is mostly a data problem. Indeed, only major companies have been able to benefit from automating tasks that once required human input, while the petit peuple is forced to continue using comparatively medieval algorithms. This may be one of the reasons there’s been so much disappointment in AI of late. Most great technologies aren’t considered to be revolutionary until they reach the public en masse (forgive my French). AI Cloud Services / Data-as-a-service / AI PaaS More on Artificial Intelligence here, and more on affective computing here. Not to worry, though, this technology is famously unreliable. Feeling happy ? How about a Starbucks advert for a frappuccino to keep the good times coming ? Feeling down ? How about a Starbucks advert for a frozzen coffee to turn that frown upside down ? Effectively, an algorithm could tell your mood from the way you look (by training a deep learning algorithm on facial data), the way you write, or the way you speak, and offer a product or service in accordance. If you’ve missed the AI train, it can be described as follows : the increase in storage space (cloud), calculation capabilities (chips) and access to massive datasets (e-commerce, social media…) has allowed companies to create statistical models on steroid which can evolve when fed new information.Īffective AI would take this process one step further and apply it to emotions. Affective AI / Affective computingĪrtificial Intelligence is already everywhere in 2020 it’s just not as fun as we thought it’d be. Add to that the decentralised aspect that governments and banks will seek to discredit, and you can be sure that it will continue to be a mere toy Chad keeps bringing up at frat parties ( there’s always a Chad). Crypto-currencies are always either in pre-bubble or bubble territory. Secondly, its value is VERY subjective ( unlike gold, don’t me).The technology works, there’s just no mass market. It was never meant to sustain the attention it got in 2017, and will never recover from the crypto-bros’ unrelenting idiocy. It’s key appeal (excluding illegal dealings) is that it’s cool and trendy.Sounds fantastic, but there are two big issues with cryptocurrencies : Often mentioned in the same breath as blockchain, cryptocurrencies use the principles explained above to facilitate the exchange of goods and services online (again in a decentralised fashion, which is one of its main appeals). As such, it is likely that we will see some advances in the blockchain space, but it will remain on the fringes of technology, missing the revolution predicted by its (many) fans. Banks, governments, hospitals… these institutions don’t want to see their power curtailed (unless on their own terms). There is however one word which stands out in the description above. Identification is provided through complex calculations, making identity theft virtually impossible, too. Banking, politics, healthcare… all could technically benefit from the creation of a decentralised digital ledger which tracks and stores information in various places, thus making forgery impossible. Blockchainīy now, we’ve all heard about blockchain revolutionising just about every industry imaginable. The boring, expected stuff (2022 technologies) 1. We don’t know the answer, but we can at least ask useful questions and catalyse the conversation. This should however not stop us from aiming to better understand the future of technology : the knowledge gained through planning is crucial to the selection of appropriate actions as future events unfold. They are often wrong because we tend to use history, which is at heart the study of surprises and changes, as a guide to the future. Obviously, these dates should be taken with a grain of salt : predictions are wrong more often than not ( check my 2020 tech predictions if you don’t believe me). It is thus necessary to write an update, highlighting the key technologies emerging today that will be all the rage in in 2022, 20s. As anyone reading it in the 2020s will notice, a lot of what was written then is now obsolete. It has since been read over 50,000 times and shared more than 1,000 times on social media. I wrote an article titled “ I Compiled a List of Tech’s “Next Big Things” So You Wouldn’t Have to” in 2018.
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