When digital laggards finally recognize the degree of change digital technologies will force upon their businesses, and desperately try to outrun the inescapable Darwinian effect of their slow start, they will be faced with not one, but three ages of digital transformation to navigate and survive. Understanding these ages, and what is unique about each one, is critical for business strategy, prioritizing, planning, sequencing and budgeting.
I wanted to gather all of my Internet of Things (IOT) blogs into a single blog (that I could later use with my University of San Francisco (USF) Big Data “MBA” course). However as I started to pull these blogs together, I realized that my IOT discussion lacked a vision; it lacked an end point towards which an organization could drive their IOT envisioning, proof of value, app dev, data engineering and data science efforts. And I think that the IOT end point is really quite simple…
Unless your company can spend a lot of money on new technology, re-engineering your environment and hiring a comprehensive cybersecurity team, you will most likely move to the cloud or seek external service partnerships.
In his session at 18th Cloud Expo, Darren Guccione, CEO of Keeper Security, revealed what you need to know when it comes to encryption in the cloud.
This is another topic that has taken me a long time to write, but several conversations with Peter Burris(@plburris) from Wikibon finally helped me to pull this together. Thanks Peter!
I’ve struggled to understand and define the Intellectual Capital (IC) components – or dimensions – of the new, Big Data organization; that is, what are the new Big Data assets that an organization needs to collect, enrich and apply to drive business differentiation and competitive advantage? These assets form the basis of the modern “collaborative value creation” process and are instrumental in helping organiza...
Are you still pondering whether to integrate cloud computing services into the structure of your IT network? You are not the only one. Most IT professionals are very concerned about data security, so they aren’t that willing to switch to cloud computing solutions that easily. It’s a fact that even advanced services like Amazon’s EC2 aren’t ready to cater to all privacy needs of data-sensitive companies.
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.
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...
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.
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.