William Mougayar’s new book The Business Blockchain: Promise, Practice, and Application of the Next Internet Technology provides a blueprint overview that compliments Tapscott’s Blockchain Revolution previously reviewed. Mougayar is able to specifically touch on the Blockchain’s architecture. Tapscott painted with a wide brush addressing everything possible with the Blockchain’s decentralized trust solution.
Mougayar moves slightly forward addressing v 3.0 aimed at audiences wider than banking. A key view is that Blockchain will not just be for the enterprise. This will create a new crypto economy. It will be interesting to watch this grow. Care to take a live look? Here is the blockchain.info site.
He views the blockchain will revolutionize the roles of existing financial intermediaries including PayPal. Blockchains will force change upon them. They can adapt or die like the dinosaurs. Blockchains will disrupt oldschool, imperial organizations as the trust boundary shifts value away from them after hundreds of years.
Banks are clearly the key target of the blockchain infrastructure. To no surprise even the Federal Reserve has been given a blockchain briefing in June. The focus byMougayar beyond another blockchain overview is a breakdown of trust, obstacles and challenges to the Blockchain technology. The issue is much stronger in the financial services marketplace as Wall Street and international banks are now testing blockchains. He touches briefly implementing Blockchain technologies and closes by pushing the message of decentralization as a key in moving forward.
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Have been looking forward to Tom Davenport’s Keeping Up with the Quants: Your Guide to Understanding and Using Analytics for longer than I care to admit. I throughly enjoyed his book Competing on Analytics all the way back in 2008. His followup Big Data@Work provides the same scope for business regarding the emerging era of Big Data.
Tom has truly mastered the role of business analytics for well over two decades. He is acknowledged as revealing the path of metrics and just as important how success can be defined by adopting a mindset of analytics over intuition. It should be no surprise that I am a big fan of Tom Davenport.
Seems like a lifetime ago in the competitive and fast changing world of analytics. Quantitative analysis with a side of regression is not a diner order but a key skill to identify patterns in data.
An easy read with great common sense approaches for leaders to understand and professionals to embrace it proves not only how business gains insights but how to defend Kobe Bryant.
On the heels of reading Nate Silver’s bestseller The Signal and the Noise, Davenport reveals how quants have not only broken down NBA basketball defensive measures to each quarter when playing Bryant and the Lakers but how to guard him in a last possession game scenario.
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Superforecasting: The Art and Science of Prediction by Wharton’s Philip Tetlock and Dan Gardner is another great read addressing analytics, human behavior and analytic technologies for establishing and sharpening forecasting abilities for any organization.
The book title is a wonderful attention grabber for me that demonstrates we live in the era of big data with business driving the age of immediacy.
Superforecasting acknowledges data lessons supplied by Nate Silver’s The Signal and the Noise as helping to define standards to data and how it misled the national media.
Yet just into the second chapter Tetlock and Gardner point to the research by Daniel Kahneman excellent work Thinking Fast and Slow to help determine behaviors shaped over time that have fundamentally changed how we predict success.
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Makers: The New Industrial Revolution is the best book hi-lighting the impact Makers have established over the last five years. The Maker movement is growing due to the collision of powerful digital tools, the internet of things and cost effective manufacturing. As a child I always wished for these advanced tools to bring to life my ideas, inventions and the toys my childhood friends would talk about and dream about making.
My ideas for creating art was always apart of my Saturday art classes at the Toledo Museum of Art. The drawings I kept of my inventions have all but disappeared.
This is where Makers: The New Industrial Revolution comes into focus for parents and educators today a generation later. What is making this possible? The industrial global supply chain has driven the cost of affordable powerful IoT including the new $5 Raspberry Pi Zero that will drive new innovations at incredibly efficient price points.
We should be careful at home because the world is embracing these technologies. Remember Anderson shares his belief that inventors and creative types are actually makers. Now this is happening on a truly global scale.
If the buzz of 3D printers and filament reels make your eyes glaze please remember that YouTube is the best example of Makers sharing their passion. Look at any dedicated YouTube channel – say woodworking- and you will find Makers creating and uploading passionate lessons regarding their craft. Look no further than Esty for a commercial success as a reseller of Maker’s crafts now listed on the New York Stock Exchange. Simply unheard of just 5 years ago.
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Change will not happen. Is it hard to believe six years ago I posted a note on this blog about receiving yet another worthless phonebook.
I asked not to receive a phonebook yet the 2015 tree killing arrived this week. Yet again I just tossed it into a recycling bin…unwrapped.
The emerging IoT developer community received a much anticipated jolt of news when Amazon finally announced new enterprise services dedicated to the AWS IoT cloud launch at their 2015 re:Invent conference.
This new AWS IoT cloud service will permit web based interfaces to manage IoT events from various devices: sensors, wearables, drones, and of course mobile tools and apps around an established AWS ecosystem.
The AWS IoT cloud emerges as Amazon’s long term platform following the SalesForce Thunder platform announced last month. Both vendors look to establish key IoT cloud solutions in the corporate enterprise space. They join Cisco’s IoT, Microsoft’s Azure IoT, Oracle’s Movintracks along side GE’s energy launch of Current IoT. The race is now on to process millions of data events from light bulbs to dishwashers and cars over the MQTT protocol and process those messages in their respective clouds.
Amazon is leveraging 11 services around their IoT Cloud strategy to include existing AWS services: Kinesis, Redshift, S3, SNS, SQS, ML, DynamoDB and Lambda. A key investment to this strategy was the recent acquisition of 2lemetry, a IoT enterprise company tuned for transforming raw data from IoT devices onto their ThingFabric platform.
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Tim Wu’s second book The Master Switch: The Rise and Fall of Information Empires is wonderful examination how American information empires were established and stifled innovation at the same time. This is my second book by Wu following his brilliant Who Controls the Internet.
Wu identifies long business cycles surrounding the birth of information systems. While they begin open over time they were consolidated and driven by the market to become closed.
We displays how they become open again following amazing innovations force a business change in order to survive in the new marketplace.
The Master Switch opens with the birth of the Bell AT&T telephone monopoly. This is a facinating story when held against the garage startups of Apple and Google.
There is an amazing look at how countries and cultures also view information empires differently. The case for Wu is the capitalist, independent market approach to radio vs the UK’s BBC dominated by the royal family.
The Master Switch reveals how four key markets actually hold government infrastructure: telecommunications, banking, energy and transportation. These four and their capitalist owners for generations established control over any citizen’s attempt at challenging their monopolies. The lesson Wu establishes is corporate control by closed technologies. Yet one cannot help but understand they magically protected the country from the devastating affects of revolution leading up to and more importantly the horrific aftermath of World War I that forever removed Paris as the hub for film entertainment.
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Kudos to Microsoft’s Cybersecurity briefing team for providing a great three day briefing on Greenfield and Red Forest solutions. With 24 pages of hand written notes but no swag from Ignite, Microsoft has provided a solid foundation to continue moving Azure cloud services forward for small or large corporate IT infrastructure.
Phil Simon’s book Too BIG to IGNORE: The Business Case for Big Data is another well written primer for Big Data in business. The focus is NOT the programmer’s dilemma of Hadoop vs. NoSQL vs NewSQL. Simon richly documents how Big Data has forever changed business and society.
The core message of Too BIG to IGNORE: for the first time we have a very inexpensive ability to data mine a wealth of information. Organizations that tap into this new capability can execute their business more accurately than ever before. However Simon also acknowledges the obvious fact that companies must understand the format of their data while the leadership understands the benefits of pushing big data solutions throughout the organization.
Too BIG to IGNORE begins by telling about the success of MoneyBall by noted author Michael Lewis. Too Big to Ignore reveals how sports franchises exploit data to win on the field and for the worse how Las Vegas casinos have been using A/B testing to pinch every penny out of their best customers. Probably the best but sad example. Similar to the approach by other authors addressing Big Data the focus is on the explosion of data from Google, Facebook, Apple and Netflix as the smartphone and wireless technologies began to change society in ways that drive unstructured data well beyond traditional structured environments.
Simon walks through the history of big data from Web2.0 to Predictive Analytics and touches The Internet of Things. Simon address the tool Hadoop lightly enough as to not scare off any non-database programmer to understand how this free tool is used by Yahoo, Google, Facebook and Apple just to name a few successful highly profiled companies. The growth of Hadoop and the emerging role of Cloudera is addressed in greater detail for the non-technical audience.
Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! falls into the must read category for leaders of any organization. Actionable Intelligence is in the Lean model well beyond the vanity metrics that so many leaders have embraced. Lessons on implementing a secure framework comes from lessons including Estee Lauder, Procter & Gamble, Lifetime Brands and the CIA. Yes the CIA.
Reading this book I have found tested lessons by Keith B. Carter regarding the lack of Actionable Intelligence in many organizations. The start always seems to be the lack of organized data and determining which is the most pressing to actually use in order to be successful in a fast changing world.
Maybe his most powerful work revolves around how executives at any company (or university) even question the value of actionable intelligence regardless of the tools already in place. Too many silo examples reinventing the wheel while overlooking the need to understand their own data reporting methods.
Sustaining delivery of actionable intelligence by the evolution from Dashboards to Cockpits. IMHO to many university leaders are just beginning to understand the Dashboard and their tools miss the Cockpit opportunities.
Business lessons alone describe how to mine actionable intelligence prove the validity of this book. Lessons from Estee Lauder include how the company was able to leverage secure data reporting in order to adjust following the powerful Japanese earthquake and tsunami that triggered the Fukushima Daiichi nuclear disaster. And in some ways Carter points to a crisis in order for executives to embrace actionable intelligence:
People do not trust data, they trust other people and their opinion of the data. So when the data owners, the people who input the data and/or use it, raise their hands and say, “This data is good; I trust it,” that will make it more likely for other people in the organization to believe it. It also means that it’s clear. It’s not just that they trust it from the point that 1 + 1 = 2. It is also clear how the data has to be used, and the definition of the data is clear.
Carter helps breakdown the old data principle “People don’t trust data – they trust other people.” Its true. Estee Lauder’s use of actionable intelligence is such that every organization should be striving towards in order to stay competitive.
Dogfight: How Apple and Google Went to War and Started a Revolution is a remarkable book about the explosive relationship between Apple and Google as smartphones and tablets came to dominate the PC marketplace. This is a historical view of the final battle of Steve Job’s life and the work by Google to win over the digital battlefield from both Apple and Microsoft.
Dogfight is a smashing success in revealing how human technology companies really are today and the enormous demands they place upon their employees. They create the tools for our digital lifestyles and the means in which it drives new business models (and society) on a global scale. Its truly magnificent.
Since Dogfight is centered around the last days of Steve Jobs many readers may be intrigued to learn how he was personally making Apple vulnerable to Google’s Android by placing so much trust in Sergey Brin, Larry Page and Schmidt. Interesting lessons for us all.
The most interesting aspect for me was understanding the complex relationship between Google and Apple when Microsoft was in charge of the PC market. Clearly Microsoft missed the smartphone and tablet market and now may be forever a forgone player in that space. Even industry leaders are acknowledging that in the mobile space there are only two OS platforms to consider: iOS and Android. Amazing how Microsoft lost its way.
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There is nothing boring in the established insights and support for Big Data Using smart big data analytics and metrics to make better decisions and improve performance.
Read one big data book you’ve read them all right? Not so fast. This book reveals how a well planned understanding of your business can better embrace select data sets for your company, organization or school to not only remain competitive but thrive in the new global economy.
For all of the Big Data blogs, books and white papers that I have read Big Data by Bernard Marr is one of the better written books. Many will benefit from this knowledge.
Bernard Marr’s challenge continues to be what most senior managers do not understand about Big Data. And he does an admirable job in chapter six: Transforming Business. There are so many examples of how Big Data can actually re-define your objectives, but many are surrounded by a sales approach I recall from work Apple’s Michael Mace.
Michael was Director of Competitive Analysis at Apple and eloquently addressed FUD at a sales conference in the 90s. The same lessons apply today regarding Big Data. FUD is Fear, Uncertainty & Doubt.
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