Could you be more specific about the IoT DB issue? What would a credible solution do? Thanks in advance.
An IoT database requires the intersection of three software capabilities in a single platform, which have varying degrees of accessibility (the technology exists in principle) and none are available in open source currently. - An exabyte-scale storage engine. Nothing too exotic here technically and a few companies have built them, but the design needs to address continuous data corruption, continuous hardware failure…
What are one or two concrete things you'd actually use this for?
Here are a few, and I frequently have these conversations with VCs, albeit biased toward areas I work in: - 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…
Could you describe the applications for these tools?
We need to simplify the whole lifecycle of data management. It is still considerably complex. We'll see an accelerated revolution in other areas such as machine learning when this simplification is complete.
I am not sure what kind of data and what kind of data management you are referring to. But from my own perspective, data management is not always a technology problem. Data management should be addressed top-down, with business owning the data quality. Technology should be used to help identify and correct data issues.
'Top-down' is actually why data management is still the way it is. Our handling of the primitives (think bottom-up approach) that build up to how things are structured at the higher level is still subpar at best, resulting in the massive inconsistencies, scaling issues and data integrity problems we face daily. Neurons (near-atomic components), from the biological sciences are still being compared analogously with more complex data structures in computing, raw grapes and wine style. Per being a technology problem, the question was about area/market segment requiring a breath of fresh air, not particularly what technology needs to be deployed.
I just read this article today and thought a great idea would be to develop a platform for simplifying the process for starting up community credit unions. Kind of like Stripe Atlas but for credit unions. It could benefit a lot of small communities.
Here's my wishlist, not sure if there is a market for it: - Twitter w/out fake accounts. - a marketplace that uses Facebook as a vehicle for engagement/promotion but which operates independently. - Secure SMS for 2FA tokens - Android w/out Play Services - Schema-based email - Stripe for the rest of the World
For me, I desperately need "Stripe for the rest of the World".
Could you be more specific about the IoT DB issue? What would a credible solution do? Thanks in advance.
An IoT database requires the intersection of three software capabilities in a single platform, which have varying degrees of accessibility (the technology exists in principle) and none are available in open source currently. - An exabyte-scale storage engine. Nothing too exotic here technically and a few companies have built them, but the design needs to address continuous data corruption, continuous hardware failure…
Maybe a general solution just isn't cost effective and may never be cost effective, regardless of how much we bring down actual costs for the resources involved in solving data-intensive problems. The (possible) reason? The performance advantage you gain from tailoring specifics to structural relationships within exceptionally large datasets may just be too large to trade off for some "generalized" solution.
I'm just speculating, of course. I was sort of entertaining your idea and going back and forth between "a sounds-good fantasy" and "No, that would be awesome, why does this not exist?"
I wouldn't write it off. There could be could add battery storage to be used during the journey. They could include wind turbines to add further power generation. Also ships can go slower. In my limited knowledge of boats every extra knot takes significantly extra fuel. If we were bringing multiple power sources 'slow' cargo may be viable. And the has to be other ways to increase this function. And there is always hy…
I think the number one obstacle to this is it would be nowhere near viable from the costs perspective. No one really wants to build cargo ships right now, shipping companies are barely staying afloat right now because there is a glut of cargo capacity. This technology would need to be cheap enough that it would make sense to retrofit a ship with it... which would probably not be the case for a very long time. I do th…
Here are a few, and I frequently have these conversations with VCs, albeit biased toward areas I work in: - 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…
Here are a few, and I frequently have these conversations with VCs, albeit biased toward areas I work in: - 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…
> 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.
I am co-founder of tensorflight.com. We do computer vision analytics of drone imagery. Interesting that you mention it, as I thought it's a somewhat obscure market. When we talk to investors in the valley 75%+ have to be educated about why what we do is a viable business.
Please get in touch at kozikow@tensorflight.com if you have any ideas!
Here are a few, and I frequently have these conversations with VCs, albeit biased toward areas I work in: - 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…