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There are murmurings on Wall Street that the big tech-led year-to-date rally is about to run aground, but according to one prominent Wall Street analyst, that is not the case at all. In fact, the opposite is true, says Wedbush’s Daniel Ives, who believes many are in for a positive surprise as Q2 earnings season gets underway. “We believe a new tech bull market has begun to take shape being led by the AI Revolution and we expect to see a better-than-expected 2Q earnings season for the tech space
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itself. what else do experts and those investigating something like this do? >> you want to collect all of your data sources as soon as possible, especially your perishable data sources. data recorders have a continually system that records over itself. vdrs as they're called. i understand the mother ship for the submersible was equipped with a vdr. i did the first vdr read-out in the united states back in the 1990s on the cruise ship that ran aground off the coast of martha's vineyard. worked with standard's development. got some barometric ground in that. in addition to audio, they'll have data. so be interesting to see what
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before. so before, we have used thermal imaging cameras at building level and we have used them in neighbourhoods to help people find out where the houses are leaking energy. but having this sort of national mapping, what we combine it with other data, it could be a really useful source of information. are there challenges with that, though? doesn't under heated home look very different from an insulated home? i look very different from an insulated home?— look very different from an insulated home? ,, , ., , , ., insulated home? i think you put your finier on it insulated home? i think you put your finger on it there. _ insulated home? i think you put your finger on it there. if _ insulated home? i think you put your finger on it there. if you've _ insulated home? i think you put your finger on it there. if you've got - finger on it there. if you've got information that are saying not much heat is coming out of this building, it could be for two main reasons. one is it's very well insulated, so it is keeping the heat you put into it is keeping the heat you put into it in. the other is that you are not heating it. and if that is because somebody can afford to heat and they are sort of cold home, that would give you quite a different interpretation of what the data means. so i think what you would be looking to do with this is combined this data with other things we already know about, for example, the efficiency of buildings, and then by bringing different data sources together, we get something we can
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