A Quote by Tim Berners-Lee

Any enterprise CEO really ought to be able to ask a question that involves connecting data across the organization, be able to run a company effectively, and especially to be able to respond to unexpected events. Most organizations are missing this ability to connect all the data together.
You have to imagine a world in which there's this abundance of data, with all of these connected devices generating tons and tons of data. And you're able to reason over the data with new computer science and make your product and service better. What does your business look like then? That's the question every CEO should be asking.
With too little data, you won't be able to make any conclusions that you trust. With loads of data you will find relationships that aren't real... Big data isn't about bits, it's about talent.
I would only have been too pleased if someone had asked me for my data. If you really believed in your data, you wouldn't mind someone looking at it. You should be able to respond that if you don't believe me go out and do the measurements yourself.
I'm kind of fascinated by this idea that we can surround ourselves with information: we can just pile up data after data after data and arm ourselves with facts and yet still not be able to answer the questions that we have.
I think most people don't really understand all that it takes to stand on your toes, and to be able to jump and land without any noise, or for a male dancer to be able to lift a girl. All of these things look so effortless, but there's an attention to detail and years of training, as well as being able to transform into a character and being able to meld all of those things together.
I don't want to become a rhetorical speaker. My effectiveness is mastering all of the data and being able to respond.
The relatively unpredictable flow of funds to humanitarian organizations, and the bureaucratic strings often attached to them, can have a highly negative impact on an organization's ability to plan and execute programmes effectively. We need to be able to rely on predictable income flows to plan sustainable programmes.
The most important question regarding Big Data at almost any company is: How much are your customers really worth?
Every company has messy data, and even the best of AI companies are not fully satisfied with their data. If you have data, it is probably a good idea to get an AI team to have a look at it and give feedback. This can develop into a positive feedback loop for both the IT and AI teams in any company.
Our data has been harvested, collected, modeled, and monetized - sometimes sold on as raw data, and sometimes licensed just for advertisers to be able to target us.
I would love to be able to tour and get to be able to read people who might not be able to afford to go to L.A. and really just spread my ability and share it as much as I possibly can.
People believe the best way to learn from the data is to have a hypothesis and then go check it, but the data is so complex that someone who is working with a data set will not know the most significant things to ask. That's a huge problem.
Because we're always more woundable when caught at exactly the time where we're in the mood for that particular product or service - and as Big Data increasingly are able to pick up on clues revealing desire - automated systems are increasingly able to hit at exactly those moments, across those channels we move - with an offer matching exactly what we're desiring.
We get more data about people than any other data company gets about people, about anything - and it's not even close. We're looking at what you know, what you don't know, how you learn best. The big difference between us and other big data companies is that we're not ever marketing your data to a third party for any reason.
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.
As CEO of a big company, I have to be a kind of a champion of the interests of our people as insofar as their ability to do their job, to feel comfortable in their work environment, and to be able to fulfill their ambitions.
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