- Can Do vs. Can’t Do Cultures – Ben’s Blog
Quote: Who does the Can’t Do Culture hurt the most? Ironically, it hurts the haters. The people who focus on what’s wrong with an idea or a company will be the ones too fearful to try something that other people find stupid. They will be too jealous to learn from the great innovators. They will be too pig headed to discover the brilliant young engineer who changes the world before she does. They will be too cynical to inspire anybody to do anything great. They will be the ones who history ridicules.
- Conflict of Interest: common sense or witch-hunt? | Paul Miller – The Cloud of Data
Quote: Those who engage with us, who read us, who pay us… they will very quickly learn whether or not to trust us. In an environment where social media is fast, pervasive, and rich with deep knowledge, it doesn’t take long to find out who other people we trust place their trust in, and to use that to inform our own evolving measures of trustworthiness. And anyone can read a piece written about company X, with a clear statement that stocks were owned, beers were bought, brothers were hired, etc… and make up their own mind.
- The Hard Work of Transparency
Quote: But it’s an important reminder: you have to do the hard work of clarity (why you do things and how you do them), before you make everything clear (as in transparent).
- More Big Data Is Better, But Good Luck Understanding It All – ReadWrite
Quote: While the researchers suggest that “for predictive analytics with sparse, fine-grained data, even with simple models it indeed can be valuable to scale up to millions of instances and millions of features,” they also caution that “even the best data scientists in the world do not yet know how best to build complex predictive models from this sort of massive data.”
- 80% Of Our Revenue Comes From……. | Partners in EXCELLENCE Blog — Making A Difference
Quote: So data can be very powerful and very misleading. We always have to dive in to understand what the data really means. Conclusions, based on surface analysis (and virtually every time I see someone citing the Pareto Principle) can be very misleading. To make data useful, avoid jumping to conclusions based only on surface data, drill down and really understand what you are looking at
- Jason Becker and the Power of Technology
Quote: Technology can genuinely solve big/awful problems. It causes problems too, but when you see something like this you have to appreciate technology’s potential for improving people’s lives. It also makes me think, as an entrepreneur and angel investor, about why people start certain companies and do certain things. It’s interesting and important to understand a founder’s motivation for starting a company, and important to ask, “Why are you doing this?” What drives someone to create another photo sharing app? What drives someone to create a laundry service? What drives someone to solve problems that seem trivial or non-existent?
- IT’s Losing Battle Against Cloud Adoption – ReadWrite
Quote: In other words, IT underestimates cloud app usage within their organizations by about 10 times. That’s a shocking delta between perception and reality, and means that IT has a lot of work to do, given that many of the apps being run are almost certainly not up to IT’s security standards.