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Latest read: Too Big to Know

Too Big to Know: Rethinking Knowledge Now That the Facts Aren’t the Facts, Experts Are Everywhere, and the Smartest Person in the Room Is the Room by David Weinberger is an amazing look at how vast amounts of knowledge in our digital world has changed our ability to not only comprehend data, but how data and the internet rewire how our brain’s process information.
Too Big to KnowIn a way this book is about networks of knowledge stored in databases and in people. So what happens to all the knowledge and expertise we now confront? Outside of it being somewhat accessible on the net, the large amounts of data are forcing us to reimagine data infrastructure.

This is pushing development of large “big data” solutions that will have the ability to process and dashboard results that are more easily “digestable” for larger and larger groups of people across the spectrum.

Weinberger confirms that there is so much data, information & knowledge today for the first time in our collective history that no single person can process it all. And that is not always a good thing. He stated “We see all too clearly how impotent facts are in the face of firmly held beliefs. We have access to more facts than ever before, so we can see more convincingly than ever before that facts are not doing the job we hired them for.”

And at the same time accounting for human nature – access to more data will only reinforce the worse as illustrated by Cass Sunstein: “Studies have shown that when people speak only with those with whom they agree, they not only become more convinced of their own views, they tend to adopt more extreme versions of those views.” And now you know the rest of the story.

Too Big to Know reveals in chapter eight how we are managed today. In the past we learned about Jack Welch of GE. He was the final, top decision maker. But today with wikis, blogs and mobile technology GE’s strategic plans are made from the bottom up: “The CEO of General Electric could be entirely off the grid, but still GE’s engineers, product managers, and marketing folks are out on the Net, exploring and trying out the ideas that affect their branch of the larger decision tree.” This is the ‘wikipedia’ approach. This is also something Weinberger acknowledges in Don Tapscott’s work Wikinomics.

Finally, I could not agree more with Weinberger’s example (Chapter five) regarding a marketplace of echoes. He describes the impact of David Halberstam‘s award winning book The Best and the Brightest. (my review here) Halberstam attempted to explain how the Kennedy White House, full of highly educated, dedicated men (McGeorge Bundy, George Ball, Chester Bowles, Robert McNamara) could have failed so badly in Vietnam. Their efforts are now very distant, recalled most often as an analogy to our country’s worst mistake. But Halberstam’s question remains deeply unsettling: How did the best and the brightest get us into the ‘hell’ of Vietnam? If these men, so well educated and worldly, erred so badly, how can we trust the advice of lesser men?

No better lesson on diversity than our failure in Vietnam. This is a very good book.

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Education Google Innovation Network Reading Technology

Latest read: The Signal and the Noise

The Signal and the Noise: Why So Many Predictions Fail – But Some Don’t by Nate Silver is another great book that completely absorbed my attention. This book offers in sights to many audiences. From weather forecasts, the Wall Street financial crisis in 2007, playing poker to even understanding and identifying signal relationships regarding the attacks on Pearl Harbor and New York on 9/11.
The Signal and the NoiseThe Signal and the Noise offers readers Silver’s insights on Bayesian thinking. Actually the book applies Bayesian in all the books lessons.

He nudges us to remember this when applying predictions in our own professions. Actually Nate’s study of predictions affects just about everything we do in life.

The strongest lesson for me is about understanding data-driven models can lead to tragic outcomes. He warns us about noisy data and Big Data that can set off false readings with horrific consequences. This alone makes this book a pretty important read.

Silver’s chapter on baseball and references to Michael Lewis‘s bestseller

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Education Innovation Reading Technology

Reading Nate Silver’s The Signal and the Noise

Wow just started reading The Signal and the Noise: Why So Many Predictions Fail – But Some Don’t and see it carries the strong reputation as a though provoking book about prediction.
The Signal and the NoiseHe continues to look at data including out of sample data to provide greater context to long held assumptions to credit default swaps that strangled Wall Street and the housing bubble.

Even in defining why the US depression following the wall street collapse was worse than projected, his appeal of Too Big To Fail proves he has a good foundation from Andrew Ross Sorkin’s great book.

The second chapter of The Signal and the Noise focuses on pro baseball. Its another look at America’s game from a geek’s perspective. He acknowledges the impact of Moneyball by Michael Lewis. Lewis is a respected writer for all things wall street and metrics.

Now lets see how risk takers in Higher Education can improve a campus by understanding and absorbing these lessons….just pushing into chapter three.

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Design Education Innovation Network Reading Technology

Latest read: The Data Science Handbook

The recent pre-release of The Data Science Handbook is a fast, easy read. There is nothing better in business today than the still exploding market of data science. While some marketing statements indicate many are trying data science, here are the voices of recognized data science leaders. I have read my share of data science and big data books as well but like the direction of this pre-release.

The Data Science Handbook Pre-ReleaseMaturing technologies like Hadoop and even MapReduce prove yesterday was the time for every organization, business unit and non-profit to understand how data science is fundamentally changing the game.

Data Science hits your data sweet spot due to the ability of large systems to process your data in real-time. Notice how Microsoft is acquiring data science companies?

Data Science was just in its early stages not more than 10 years ago. Yahoo and Google helped move this forward. Even “legacy” companies like Sears Holdings understands the impact of MapReduce and Hadoop, they are well outside Silicon Valley. Just wait until some great advancements for public health are established by non-profits as a result of implement data science to forecast their business.

There is a great deal of excitement as the full release publication date inches closer. Cannot wait to see this book ship.

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Education Innovation Reading Technology

Latest read: Rework

Rework is a welcomed aggressive view of business today. Last year 37signals reorganized. Today the company is simply known as BaseCamp, their top selling product management cloud service. Rework is proven look at business in the Age of Attention.
ReworkThe best line in Rework that made me laugh out loud was Jason describing how you can get by with small things…he described how inmates carve shivs in prison. Perfect example but his follow up statement “I’m not telling you to carve a shiv” Hilarious.

Goodreads maintains a quote page for Rework. If your considering the book take a look for the little nudge to get you over the edge.And yes Jason nails it: Meetings are toxic, He suggests a few proven solutions.

This is an energizing read for millennials who need to understand that mature business models and the people who drive them come from a different time, have invested in ‘the system’ and are now using it to their advantage regardless of how the world works today. While the book is also clearly aimed at entrepreneurs, Jason addresses them as Starters instead.  He has a good idea about that term. This book is a quick read packed with lots of common sense that we forget in our busy lives.  Jason helps refocus your efforts.  Its worth the read.