ML kasvussa

 Amazon pilvitekoälypalvelut ovat kovassa kasvussa. ML=Machine Learning=koneoppiminen.

ML has historically been a computationally heavy workload that’s incapable of running anywhere but on the most powerful hardware. However, with advancements in software and silicon, this will begin to change. Using a combination of AWS technologies, we’ll see hardware and software working together at the edge to have a bigger impact than ever.

By moving towards the edge, what we will see in the coming year is an acceleration of the adoption of ML models across industries and government. In manufacturing, we will see ML embedded on production lines, able to spot production anomalies in real time. In agriculture, ML models will help farmers manage precious resources, such as soil and water, more intelligently.

As ML continues to expand, we will also see an explosion in machine-to-machine (M2M) connections. In 2018, only 33% of connections on the internet were M2M according to Cisco’s annual internet report. If you have an Echo, any smart home gadget, or are following how cars and trucks are quickly evolving, you can already see what’s coming–a proliferation of sensors and devices connected to the cloud and each other. In 2021, I see M2M hitting 50% of all connections and ramping higher from there.

 https://www.allthingsdistributed.com/2020/12/cloud-predictions-2021.html 

https://aws.amazon.com/blogs/machine-learning/

http://sujitpal.blogspot.com/2018/04/aws-ml-week-and-adventures-with.html

http://andrejusb.blogspot.com/2018/12/api-for-amazon-sagemaker-ml-sentiment.html

Tekoäly etenee koko aika. Pilvipalvelut tuovat tekoälyn kaikkialle missä on Internet yhteys.