With the cloud came a lot of data, so 'big data' was a wave in which Engineers had to deal with ti, and 'data science' was the wave in which we tried to leverag

With the cloud came a lot of data, so 'big data' was a wave in which Engineers had to deal with ti, and 'data science' was the wave in which we tried to leverage it. The reality is that most insight from 'big data' are optimizations. They're not going to move the needle on the business as perhaps we would have hoped. Data Science focused on ad targeting - now that might move the needled. And of course, maybe some Data Science working along side AI engineers make a breakthrough which could move the needle. But from a high level, CEO's view, all of these things have trendy undercurrents, the trick is to figure out how much of it really matters to the business. The 'wins' for consumers will be slow: maybe better product search, better ads. Maybe they figure out how to send flights around ugly weather or how to slot landing times for an x% decrease in flight delays. Or slot road fixing/lights for an x% decrease in traffic delays.