For a phrase that’s being thrown around a lot recently, what does “Digital Transformation” really mean? When someone says that they want to digitally transform their business, what does one really mean, why do they want to do it, and should they approach this “digital transformation” process? First off, let’s start with a definition. If we don’t know what we are trying to achieve, then how do we know how to get there? Or to quote the famous Greek philosopher Yogi Berra: “If you don’t know where you are going, you’ll end up someplace else.”
Tomorrow will be nothing like today. It may look and feel a lot like today – you’ll get up, have breakfast, exercise, go off to work, etc. But tomorrow will be nothing like today. Tomorrow there will be 600,000 new smartphone activations, 540,000 new computers sold, hundreds of thousands of new cloud computing credentials issued, hundreds more petabytes of data traveling through the Internet, thousands more miles driven by autonomous vehicles, millions of new words interpreted by Natural Language Understanding (NLU) systems, billions of new patterns learned by machines, and billions of new lines of code created. Tomorrow will be nothing like today.
As more technologies become software-defined, their adoption demands a significant shift in thinking about how a business organizes its value stream. This shift may be difficult, but it enables you to anticipate changes and position your business to react when software-defined technologies emerge. Recently a new set of tools and practices has emerged to create and manage environments. Known as Infrastructure as Code (IaC), it enables infrastructure management through a software-defined layer.
In his session at Cloud Expo, Alan Winters, an entertainment executive/TV producer turned serial entrepreneur, presented a success story of an entrepreneur who has both suffered through and benefited from offshore development across multiple businesses: The smart choice, or how to select the right offshore development partner Warning signs, or how to minimize chances of making the wrong choice Collaboration, or how to establish the most effective work processes Budget control, or how to maximize project results within possible constraints
The Internet of Things (IoT) has evolved quite rapidly, especially if you consider how long it took for little packet-switching networks like ARPANET to morph into today’s nearly ubiquitous internet. Our nascent IoT ecosystem is already populated by billions of sensors and connected devices, hundreds of millions of servers, and thousands of hybrid clouds serving billions of people… all of them perpetually producing and/or consuming data in an explosion of information.
Every company wants to see their company getting press and media attention. Unless it is due to a hacker and a security breach. Every few weeks you see in the media stories of companies who were hacked. Getting a new credit card every few months because the data was hacked has been routine for most of us. The more that our world revolves around the internet and technology, the more cyber security becomes a big deal. Software applications are complex and can potentially have lots of different types of security issues. The issues range from bad code to misconfigured servers and everything in between. Solving this problem requires everyone to always be thinking about security implications of what they are working on. DevSecOps is a new movement to do just that. The goal is to get developers to be thinking more about security principles and standards as they are building their applications.
Keeping your enterprise data safe and secure is more important now than it ever has been. IT has always been an ever-changing industry, but in recent years, it has been changing more and more quickly. Now, thanks to the cloud, big data, and mobile devices all expanding at once, it may seem like the entire IT field is completely different every other day. This means your company is going to almost always be re-evaluating and upgrading your network security tools and methods. It's hard to deal with the current threats to your data, never mind prepare for new ones.
A common misconception about the cloud is that one size fits all. Companies expecting to run all of their operations using one cloud solution or service must realize that doing so is akin to forcing the totality of their business functionality into a straightjacket. Unlocking the full potential of the cloud means embracing the multi-cloud future where businesses use their own cloud, and/or clouds from different vendors, to support separate functions or product groups. There is no single cloud solution ideal for all applications, and some applications might not fit the cloud at all. For example, certain applications have more stringent security or compliance requirements that require a private cloud or traditional on-premises deployment. For the foreseeable future, the majority of companies will maintain a hybrid cloud environment, and should invest in a multi-cloud strategy allowing them to leverage the diverse cloud market for the solutions that fit their specific application and storage needs.
"We are a monitoring company. We work with Salesforce, BBC, and quite a few other big logos. We basically provide monitoring for them, structure for their cloud services and we fit into the DevOps world" explained David Gildeh, Co-founder and CEO of Outlyer, in this SYS-CON.tv interview at DevOps Summit at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
For most organizations, the move to hybrid cloud is now a question of when, not if. Fully 82% of enterprises plan to have a hybrid cloud strategy this year, according to Infoholic Research. The worldwide hybrid cloud computing market is expected to grow about 34% annually over the next five years, reaching $241.13 billion by 2022. Companies are embracing hybrid cloud because of the many advantages it offers compared to relying on a single provider for all of their cloud needs. Hybrid offers balance and flexibility. It helps companies achieve a wide array of business goals, including availability, reliability, security and cost-efficiency.
The taxi industry never saw Uber coming. Startups are a threat to incumbents like never before, and a major enabler for startups is that they are instantly “cloud ready.” If innovation moves at the pace of IT, then your company is in trouble. Why? Because your data center will not keep up with frenetic pace AWS, Microsoft and Google are rolling out new capabilities. In his session at 20th Cloud Expo, Don Browning, VP of Cloud Architecture at Turner, posited that disruption is inevitable for companies that refuse to embrace the cloud and the culture shift that comes along with it.
If you cannot explicitly articulate how investing in a new technology, changing the approach or re-engineering the business process will help you achieve your customer-centric vision of the future in direct and measurable ways, you probably shouldn’t be doing it. At Intellyx, we spend a lot of time talking to technology vendors. In our conversations, we explore emerging new technologies that are either disrupting the way enterprise organizations work or that help enable those organizations to cope with disruption.
As more technologies become software-defined, their adoption demands a significant shift in thinking about how a business organizes its value stream. This shift may be difficult, but it enables you to anticipate changes and position your business to react when software-defined technologies emerge. Recently a new set of tools and practices has emerged to create and manage environments. Known as Infrastructure as Code (IaC), it enables infrastructure management through a software-defined layer.
Digital technology innovations and advancements, and our adoption of them, have changed us. We are different consumers, employers and employees. Our expectations have increased. We have become mobile, impatient and demanding. We are global. We demand immediate, accurate and real-time responses. We use our technology not just for reading historic events and news, but also for predicting our future turn while navigating at 60 MPH.
"Loom is applying artificial intelligence and machine learning into the entire log analysis process, from start to finish and at the end you will get a human touch,” explained Sabo Taylor Diab, Vice President, Marketing at Loom Systems, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
Containers, microservices and DevOps are all the rage lately. You can read about how great they are and how they’ll change your life and the industry everywhere. So naturally when we started a new company and were deciding how to architect our app, we went with microservices, containers and DevOps. About now you’re expecting a story of how everything went so smoothly, we’re now pushing out code ten times a day, but the reality is quite different.
Digital technology innovations and advancements, and our adoption of them, have changed us. We are different consumers, employers and employees. Our expectations have increased. We have become mobile, impatient and demanding. We are global. We demand immediate, accurate and real-time responses. We use our technology not just for reading historic events and news, but also for predicting our future turn while navigating at 60 MPH.
"We are a monitoring company. We work with Salesforce, BBC, and quite a few other big logos. We basically provide monitoring for them, structure for their cloud services and we fit into the DevOps world" explained David Gildeh, Co-founder and CEO of Outlyer, in this SYS-CON.tv interview at DevOps Summit at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
"Loom is applying artificial intelligence and machine learning into the entire log analysis process, from start to finish and at the end you will get a human touch,” explained Sabo Taylor Diab, Vice President, Marketing at Loom Systems, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
The Internet of Things (IoT) has evolved quite rapidly, especially if you consider how long it took for little packet-switching networks like ARPANET to morph into today’s nearly ubiquitous internet. Our nascent IoT ecosystem is already populated by billions of sensors and connected devices, hundreds of millions of servers, and thousands of hybrid clouds serving billions of people… all of them perpetually producing and/or consuming data in an explosion of information.
Containers, microservices and DevOps are all the rage lately. You can read about how great they are and how they’ll change your life and the industry everywhere. So naturally when we started a new company and were deciding how to architect our app, we went with microservices, containers and DevOps. About now you’re expecting a story of how everything went so smoothly, we’re now pushing out code ten times a day, but the reality is quite different.
SYS-CON Events announced today that IBM has been named “Diamond Sponsor” of SYS-CON's 21st Cloud Expo, which will take place on October 31 through November 2nd 2017 at the Santa Clara Convention Center in Santa Clara, California.
Imagine that you have hundreds of development, testing, and operations teams spread across the globe that rely on each other to execute software testing. You have 245 test environments and you release to pre-production several times a day and deploy to production once a week. How do you manage all the software tests, test data, and test environments? Traditionally, the answer would be to fill out spreadsheets or siloed tools, send emails, and hope that everything and everyone is ready at each stage of the software testing lifecycle (STLC).
Imagine that you have hundreds of development, testing, and operations teams spread across the globe that rely on each other to execute software testing. You have 245 test environments and you release to pre-production several times a day and deploy to production once a week. How do you manage all the software tests, test data, and test environments? Traditionally, the answer would be to fill out spreadsheets or siloed tools, send emails, and hope that everything and everyone is ready at each stage of the software testing lifecycle (STLC).
Machine Learning needs tons of data. But what are you going to do when the data only exist in the heads of your employees? Machine Learning, Deep Learning, Cognitive Computing, Robotic Process Automation (RPA), Natural Language Processing (NLP), Machine Perception, Predictive APIs, Image Recognition, Speech Recognition, Virtual Agent, Intelligent Assistant, Personal Advisor, Chatbot, Semantic Search. Did I miss anything? I am sure I did. However, I guess I provide a good list for your next round of Artificial Intelligence (AI) bullshit bingo. Oh, one last thing - Machine Reasoning! If you've never heard about this term before, just read until the end and you will get its idea and importance for AI.