AI, specifically GAN's I expect to see more cool use cases.
Typescript will be more heavily adopted.
I am seeing more startups using GCP over AWS, it'll be interesting to see if this continues. I do a lot of due diligence and is purely speculation on personal experience.
Kubernetes in use for development using minikubes on individual developer machines.
Privacy concerns by the general public and what happens with their data. I don't expect an uproar in 2019, but I think people are realizing how much is collected on them.
I share the sentiment that a recession is mounting, no one can time the markets though. Ideas that make me lean that way are ridiculous valuations on non profitable businesses, Corp Tax cuts are ending, uncertainty in what China is doing, rise of gig economy with a decrease in steady income and fresh grads with a unwanted degree and high student debt loans. We may be at the later stage of a debt cycle too according to Ray's book. Check out https://www.principles.com/big-debt-crises/.
Can't agree more with your GCP vs AWS mention. I have deployed my share of models on both platforms and GCP, with Cloud ML is much much easier esp. with Tensorflow. That said, hoping that 2019 makes it even easier as its still too complex for my taste.
Comments
AI, specifically GAN's I expect to see more cool use cases.
Typescript will be more heavily adopted.
I am seeing more startups using GCP over AWS, it'll be interesting to see if this continues. I do a lot of due diligence and is purely speculation on personal experience.
Kubernetes in use for development using minikubes on individual developer machines.
Privacy concerns by the general public and what happens with their data. I don't expect an uproar in 2019, but I think people are realizing how much is collected on them.
I share the sentiment that a recession is mounting, no one can time the markets though. Ideas that make me lean that way are ridiculous valuations on non profitable businesses, Corp Tax cuts are ending, uncertainty in what China is doing, rise of gig economy with a decrease in steady income and fresh grads with a unwanted degree and high student debt loans. We may be at the later stage of a debt cycle too according to Ray's book. Check out https://www.principles.com/big-debt-crises/.
Can't agree more with your GCP vs AWS mention. I have deployed my share of models on both platforms and GCP, with Cloud ML is much much easier esp. with Tensorflow. That said, hoping that 2019 makes it even easier as its still too complex for my taste.