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The Dean of the University of San Francisco School of Management, Elizabeth Davis, recently asked me to sit on a Big Data panel at the Direct Sales Association conference. I was given a 5-minute slot to “demystify” Big Data to a non-technical group of about 1,000 people; to help them understand where and how this thing called “Big Data” could help them.
Well if you know me, I can barely introduce myself in 5 minutes. But this was particularly challenging for me, as I’m used to talking about Big Data with organizations with at least some level of Big Data experience or understanding (maybe the...
The Internet of Things (IoT) promises to change everything by enabling “smart” environments (homes, cities, hospitals, schools, stores, etc.) and smart products (cars, trucks, airplanes, trains, wind turbines, lawnmowers, etc.). I recently wrote about the importance of moving beyond “connected” to “smart” in a blog titled “Internet of Things: Connected Does Not Equal Smart”. The article discusses the importance of moving beyond just collecting the data, to transitioning to leveraging this new wealth of IoT data to improve the decisions that these smart environments and products need to make: t...
Cloud computing has taken over the business world! With almost maniacal focus, single proprietors and Board Directors of the world's largest conglomerates see this new model as a "must do". This rapid shift is, in fact, accelerating. As Jeff Bertolucci observes in "The Shift to Cloud Services Is Happening Faster Than Expected":
"According to the sixth annual Uptime Institute Data Center Industry Survey, which examines the big-picture trends shaping IT infrastructure delivery and strategy, the move to cloud services is accelerating. The Uptime Institute's February 2016 poll of more than 1,00...
Early adopters of IoT viewed it mainly as a different term for machine-to-machine connectivity or M2M. This is understandable since a prerequisite for any IoT solution is the ability to collect and aggregate device data, which is most often presented in a dashboard. The problem is that viewing data in a dashboard requires a human to interpret the results and take manual action, which doesn’t scale to the needs of IoT.
It feels like the barbarians are continually at the gate. We can’t seem to go more than a week before a new data breach is in the news, impacting potentially millions of individuals. The targets range from companies like Omni Hotels, which had been breached affecting up to 50,000 customers whose personal and credit card information was exposed, to North Carolina State University, where over 38,000 students’ personal information, including their SSNs, were at risk. As I mentioned in a recent blog ‘Internet of Things and Big Data – who owns your data?’, we have been storing our personal and cred...
Machine learning, cloud services, and artificial intelligence-enabled human agents are all combining to change the way that companies can order services, buy goods, and even hire employees and contractors.
To learn more about how new trends are driving innovation into invoicing and spend management, please join me in welcoming Pierre Mitchell, Chief Research Officer and Managing Director at Azul Partners, where he leads the Spend Matters Procurement research activities. The discussion is moderated by me, Dana Gardner, Principal Analyst at Interarbor Solutions.
The data warehouse and data lake are two different types of data storage repository. The data warehouse integrates data from different sources and suits business reporting. The data lake stores raw structured and unstructured data in whatever form the data source provides. It does not require prior knowledge of the analyses you think you want to perform.
A data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed. While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat architecture to store data.
Big Data. Analytics. Internet of Things. Cloud. In the last few years, you cannot have a discussion around technology without those terms entering the conversation. They have been major technology disruptors impacting all aspects of the business. Change seems to occur at breakneck speeds and shows no sign of slowing. Today, it appears the one constant in technology is change. Constant change requires constant innovation which thereby introduces more new technologies. One of the new technologies entering the conversation is machine learning. Gartner identified machine learning as one of the top...
Since we launched our Agile Digital Transformation Roadmap poster two weeks ago, several hundred people around the globe have downloaded it – but it’s not clear how many of them have taken the time to work their way through it.
Haven’t seen it yet, you say? No worries – you can download the poster for free at AgileDigitalTransformation.com.
OK then – everyone have the poster handy? Good. Here’s how to make sense of it.
Machine-to-machine (M2M) learning is an integral apart of the expanding world of Industrial IoT. Over the past few months we have given attention to manufacturing and its current digital disruption, but have failed to show the direct impact smart M2M and IoT technology is having on the industry. So, this week we are diving deeper into the term machine learning and how it connects to manufacturing both today and in the future.
Opining about the future of AI at the recent Brilliant Minds event at Symposium Stockholm, Google Executive Chairman Eric Schmidt rejected warnings from Elon Musk and Stephen Hawking about the dangers of AI, saying, “In the case of Stephen Hawking, although a brilliant man, he’s not a computer scientist. Elon is also a brilliant man, though he too is a physicist, not a computer scientist.”
This absurd dismissal of Musk and Hawking was in response to an absurd question about “the possibility of an artificial superintelligence trying to destroy mankind in the near future.” Schmidt went on to sa...
When the Internet of Things (IoT) started to emerge as a popular topic, I had to stop and ask myself if I was once again going to provide commentary on this emerging field. I enjoy exploring new technology shifts and illustrating how they can benefit various industries and businesses. It’s what I’ve done for the past 20 years through Java, XML, Web Services, SOA, Cloud and DevOps. However, every time I started writing on IoT I seemed to run into the same conundrum; am I commenting on this to jump on the hype bandwagon or because I see a need to represent the pragmatics of implementing and adop...
SaaS companies can greatly expand revenue potential by pushing beyond their own borders. The challenge is how to do this without degrading service quality.
In his session at 18th Cloud Expo, Adam Rogers, Managing Director at Anexia, discussed how IaaS providers with a global presence and both virtual and dedicated infrastructure can help companies expand their service footprint with low “go-to-market” costs.
Continuous testing helps bridge the gap between developing quickly and maintaining high quality products.
But to implement continuous testing, CTOs must take a strategic approach to building a testing infrastructure and toolset that empowers their team to move fast.
Download our guide to laying the groundwork for a scalable continuous testing strategy.
After many years of research, misfires and frightening Hollywood plotlines, artificial intelligence (AI) is finally coming into its own and beginning to demonstrate significant business value. The combined forces of big data, human expertise and AI are being used across industries as diverse as healthcare and manufacturing, as well as within all aspects of business. IT operations is one area that AI is beginning to contribute to enormously.
IT infrastructures are changing rapidly today, particularly hybrid cloud environments.
While they are increasingly dynamic and agile, they are also ext...
Join Us at the Santa Clara Convention Center in New York, Santa Clara, November 1-3
Cloud computing software is eating the world, and each day is bringing new developments in this world.
Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy.
Meanwhile, 94% of enterprises are using some form of XaaS – software, platform, and Infrastructure as a Service.
Big Data | Analytics and the emerging Internet of Things (IoT) are driving exponentially increased demands on datacenters and developers alike, as we cross the zettabyte horizon this year.
Containers and microservices are now part of every PaaS conversation, and IaaS providers are increasingly competing for platform customers.
WebRTC continues to reform web communications, and DevOps is pushing its way into an enterprise IT world that is increasingly agile, lean, and continuous.
Through all this, Cloud Expo remains the single independent event where delegates and technology vendors can meet to experience and discuss the entire world of the cloud.
Only Cloud Expo brings together all this in a single location:
• Cloud Computing
• Big Data | Analytics
• Internet of Things
• Containers | Microservices
Cloud computing budgets worldwide are reaching into the hundreds of billions of dollars, and no organization can survive long without some sort of cloud migration strategy. Each month brings new announcements, use cases, and success stories.
Cloud Expo offers the world's most comprehensive selection of technical and strategic Industry Keynotes, General Sessions, Breakout Sessions, and signature Power Panels. The exhibition floor features 100+ exhibitors offering specific solutions and comprehensive strategies.
The floor also features a Demo Theater that give delegates the opportunity to get even closer to the technology they want to see and the people who offer it.
Attend Cloud Expo. Create your own custom experience. Learn the latest from the world's best technologists. Talk to the vendors you are considering, and put them to the test.