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For example about 200,000 people have died so far in India with COVID, but over 1 million are estimated to die each year from the effects of air pollution:
https://ourworldindata.org/grapher/absolute-number-of-deaths...
India's fundamental problem is that it is overpopulated - stretching all of the natural resources of the country, and increasing density leading to viruses like COVID transmitting more easily.
The country needs a one child policy, or to put serious money back into Vasalgel: https://en.wikipedia.org/wiki/Reversible_inhibition_of_sperm...
Ever since telecommuting for work took off, the house prices have been spiking.
Disclosure: I have been looking at Elk Grove, Folsom, and other Sacramento suburbs as a possible place to relocate my family and team ... my team and I are not happy with the cost of living in SF, and we can get a lot more bang for buck by moving away.
You can get a 4 bedroom, 2500 sqft house in Elk Grove for about 750,000 now (six months ago it was 500,000). The schools are also quite diverse ... over 30% Asian and Indian.
TLA+ in one sentence: it is a language used to write specifications, same as you might write a spec in English/your chosen informal language, except here you write your spec in basic mathematics; benefits of a formal specification language include freedom from ambiguity, model-checking, and even machine-checked proofs of correctness.
This language is a joy to use and I've found it really affects the way I think about system design.
- Spatiotemporal analytics usually in the context of IoT. Most people currently repurpose cartographic tools for this purpose but the impedance match is poor and the tools are seriously lacking elementary functionality. There is no magic technology here, just exceptional UX/UI and an understanding of the problem domain and tooling requirements.
- IoT database platforms, no one offers a credible solution for this currently. Everyone defines this in terms of what they can do, not in terms of what is required in practice. There are many VCs currently hunting for this product but the problem is one of fundamental tech; you can't solve it using open source backends.
- Also for IoT, ad hoc clusters of compute at the edge being able to cooperate for analytical applications. The future of large-scale data analytics is planetary scale federation for many applications. Significant tech gaps here.
- Remote sensing analytics. Drones and satellites are generating spectacular volumes of this data and no one can usefully analyze data of this type at scale. Today, companies wait weeks for a single analytic output on less than a terabyte of data.
- Population-scale behavioral analytics. Many startups claim to do this but none of them can actually work with relevant data at a scale that would deliver on it despite increasing availability of the necessary data.
- AI based on algorithmic induction tech i.e. not the usual DNN and ML tech everyone calls AI. This is way more interesting if you have a novel approach.
Yesterday we announced Polaris specifically so (1) customers don't get locked into a catalog; (2) people know Snowflake works with AWS, Azure, Confluent, etc.
1: https://www.snowflake.com/blog/introducing-polaris-catalog/
[1] https://www.cnbc.com/2024/06/04/databricks-is-buying-data-op...