A Quote by Michael Palmer

Data is just like crude. It’s valuable, but if unrefined it cannot really be used. It has to be changed into gas, plastic, chemicals, etc to create a valuable entity that drives profitable activity; so must data be broken down, analyzed for it to have value.
In the increasingly digital world, data is a valuable currency, yet as consumers, we control and own little of it. As consumers, we must ask what big companies do with our data, a question directed to both the online and traditional ones.
I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.
Curating our data is valuable. Like 23andMe - while selling us the chance to know whether we're Vikings or whatever, they're amassing these huge DNA databases that are unimaginably valuable. Get people to pay you to add their DNA to this database. Genius!
If you have a lot of data and you want to create value from that data, one of the things you might consider is building up an AI team.
For technology companies, information about what people do online is extremely valuable - it can be used to sell targeted advertising or sold to data clearinghouses.
Many of us now expect our online activities to be recorded and analyzed, but we assume the physical spaces we inhabit are different. The data broker industry doesn't see it that way. To them, even the act of walking down the street is a legitimate data set to be captured, catalogued, and exploited.
EMA research evidences strong and growing interest in leveraging log data across multiple infrastructure planning and operations management use cases. But to fully realize the potential complementary value of unstructured log data, it must be aligned and integrated with structured management data, and manual analysis must be replaced with automated approaches. By combining the RapidEngines capabilities with its existing solution, SevOne will be the first to truly integrate log data into an enterprise-class, carrier-grade performance management system.
If you are looking at data over and over you better be taking away valuable insight every time. If you are constantly looking at data that isn't leading to strategic action stop wasting your time and look for more Actionable Analytics.
Data is valuable, so let's be mindful of how we're sharing it.
Data is the most valuable asset in the world.
Data is the fabric of the modern world: just like we walk down pavements, so we trace routes through data, and build knowledge and products out of it.
What's going on in the game today... it's data vs. art - that's what it comes down to for me. Art being the human heartbeat, data being numbers, the math, etc. I believe there's a balance to be struck right there.
The most valuable thing you can have as a leader is clear data.
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
TIA was being used by real users, working on real data - foreign data. Data where privacy is not an issue.
My study is NOT as a climatologist, but from a completely different perspective in which I am an expert … For decades, as a professional experimental test engineer, I have analyzed experimental data and watched others massage and present data. I became a cynic; My conclusion - 'if someone is aggressively selling a technical product who's merits are dependent on complex experimental data, he is likely lying'. That is true whether the product is an airplane or a Carbon Credit.
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