Introducing the AWS IoT cloud

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.
AWS IoT Cloud PlatformThis 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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Latest read: The Master Switch: The Rise and Fall of Information Empires

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.
The Master SwitchWu 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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Microsoft Cybersecurity Briefing

Microsoft cybersecurity
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.

Latest read: Too Big to Ignore The Business Case for Big Data

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.
Too Big to Ignore The Business Case for Big DataThe 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.

Latest Read: Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast!

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.
Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast!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.

Latest Read: Dogfight: How Apple and Google Went to War and Started a Revolution

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.

How Apple and Google went to war and started a revolutionDogfight 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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Latest read: Big Data Using smart big data analytics and metrics to make better decisions and improve performance

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.
Big Data Using smart big data analytics and metrics to make better decisions and improve performanceRead 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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