Most of us already know that adopting new cloud applications can boost a business’s productivity by enabling organizations to be more agile and ready to change course in our fast-moving and connected digital world. But the rapid adoption of cloud apps and services also brings with it profound security threats, including visibility and control challenges that aren’t present in traditional on-premises environments. At the same time, the cloud – because of its interconnected, flexible and adaptable nature – can also provide new possibilities for addressing cloud security problems. By leveraging the power of the cloud with a data science and machine learning cloud-based solution, security and risk professionals can solve many of the traditional security challenges found in popular apps like Office 365, Google Drive, Salesforce and Box.
@GonzalezCarmen has been ranked the Number One Influencer and @ThingsExpo has been named the Number One Brand in the “M2M 2016: Top 100 Influencers and Brands” by Onalytica. Onalytica analyzed tweets over the last 6 months mentioning the keywords M2M OR “Machine to Machine.” They then identified the top 100 most influential brands and individuals leading the discussion on Twitter.
"Storage is growing. All of IDC's estimates say that unstructured data is now 80% of the world's data. We provide storage systems that can actually deal with that scale of data - software-defined storage systems," stated Paul Turner, Chief Product and Marketing Officer at Cloudian, in this SYS-CON.tv interview at 17th Cloud Expo, held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, provided tips on how to be successful in large scale machine learning. She briefly reviewed the frameworks available to train machine learning models on large amounts of data, touched on feature engineering and algorithm selection, and gave a few tips to help you avoid the most common mistakes.
IoT solutions exploit operational data generated by Internet-connected smart “things” for the purpose of gaining operational insight and producing “better outcomes” (for example, create new business models, eliminate unscheduled maintenance, etc.). The explosive proliferation of IoT solutions will result in an exponential growth in the volume of IoT data, precipitating significant Information Governance issues: who owns the IoT data, what are the rights/duties of IoT solutions adopters towards this data, how to deal with Data Residency and Data Privacy issues, how to manage the lifecycle of IoT data, etc.?
Internet of @ThingsExpo, taking place June 6-8, 2017 at the Javits Center in New York City, New York, is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. @ThingsExpo New York Call for Papers is now open.
I was on a high-rise construction site 34-floors above the city. I was talking to the construction crew when a fight broke out. There was an explosion and the floor collapsed. I removed the virtual reality (VR) goggles and laughed. It was so real. The VR solutions provided an incredible experience, almost like being there. As good as my experience was, it was not reality. It was a controlled pre-programmed experience - a notional idea. Today, however, VR and sensor technologies enable a notional idea to become reality – a Real-Reality.
Software delivery was once specific to the IT industry. Now, Continuous Delivery pipelines are used around world from e-commerce to airline software. Building a software delivery pipeline once involved hours of scripting and manual steps–a process that’s painful, if not impossible, to scale. However Continuous Delivery with Application Release Automation tools offers a scripting-free, automated experience. Continuous Delivery pipelines are immensely powerful for the modern enterprise, boosting production and even customer satisfaction.
The Jevons Paradox suggests that when technological advances increase efficiency of a resource, it results in an overall increase in consumption. Writing on the increased use of coal as a result of technological improvements, 19th-century economist William Stanley Jevons found that these improvements led to the development of new ways to utilize coal. In his session at 19th Cloud Expo, Mark Thiele, Chief Strategy Officer for Apcera, compared the Jevons Paradox to modern-day enterprise IT, examining how the Internet and the cloud has allowed for the democratization of IT, resulting in an increased demand for the cloud and the drive to develop new ways to utilize it.
@ThingsExpo has been named the Top 5 Most Influential M2M Brand by Onalytica in the ‘Machine to Machine: Top 100 Influencers and Brands.' Onalytica analyzed the online debate on M2M by looking at over 85,000 tweets to provide the most influential individuals and brands that drive the discussion. According to Onalytica the "analysis showed a very engaged community with a lot of interactive tweets. The M2M discussion seems to be more fragmented and driven by some of the major brands present in the M2M space. This really allows some room for influential individuals to create more high value interactions amongst community members."
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, provided tips on how to be successful in large scale machine learning. She briefly reviewed the frameworks available to train machine learning models on large amounts of data, touched on feature engineering and algorithm selection, and gave a few tips to help you avoid the most common mistakes.
"There are a lot of security issues with connected vehicles right now. We provide the connected vehicle infrastructure for both Hyundai and OnStar," explained David Miller, Chief Security Officer at Covisint, in this SYS-CON.tv interview at @ThingsExpo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
The volume of transactions running through websites and mobile apps make customer-facing applications crucial to online businesses. If these applications perform well for their users, they generate revenue for the business. If they don't, they affect the credibility of the business, which in turn affects the overall revenue. It is therefore imperative that businesses understand how well their revenue-critical applications are behaving for their end users. From an IT team's point of view, understanding the user experience of their applications is becoming challenging as technology evolves. Newer and more complex applications are being written using an assortment of languages. These applications are being deployed on a wide variety of infrastructure components. To add to that, today's users access these modern applications on a variety of devices such as the Web, smartphones, tablets and smart watches.
Blockchain is certainly the rage. No matter the industry, you can’t seem to have a technology discussion before the topic is raised. According to Gartner’s latest hype cycle for emerging technologies, blockchain is approaching the peak. It is considered by Gartner as one of the ‘Key platform-enabling technologies to track.’ Approximately $1.4B has been invested in blockchain just this year, according to PwC executive Seamus Cushley. While there is a lot of ‘hype vs reality’ discussions going on, there is no arguing that blockchain is being taken very seriously across industries and cannot be ignored.
Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In his session at @ThingsExpo, Gordon Haff, Red Hat Technology Evangelist, will share examples from a wide range of industries – including energy, transportation, and retail – of using IoT to create new business opportunities and improve efficiency.
Although it has gained significant traction in the consumer space, IoT is still in the early stages of adoption in enterprises environments. However, many companies are working on initiatives like Industry 4.0 that includes IoT as one of the key disruptive technologies expected to reshape businesses of tomorrow. The key challenges will be availability, robustness and reliability of networks that connect devices in a business environment. Software Defined Wide Area Network (SD-WAN) is expected to play a key role in overcoming these challenges. In his session at @ThingsExpo, Mike Wood, vice president for VeloCloud Networks, discussed how SD-WAN can offer a simple, agile, cost-effective approach for enterprise IoT networks.
The Jevons Paradox suggests that when technological advances increase efficiency of a resource, it results in an overall increase in consumption. Writing on the increased use of coal as a result of technological improvements, 19th-century economist William Stanley Jevons found that these improvements led to the development of new ways to utilize coal. In his session at 19th Cloud Expo, Mark Thiele, Chief Strategy Officer for Apcera, compared the Jevons Paradox to modern-day enterprise IT, examining how the Internet and the cloud has allowed for the democratization of IT, resulting in an increased demand for the cloud and the drive to develop new ways to utilize it.
Technology vendors and analysts are eager to paint a rosy picture of how wonderful IoT is and why your deployment will be great with the use of their products and services. While it is easy to showcase successful IoT solutions, identifying IoT systems that missed the mark or failed can often provide more in the way of key lessons learned. In his session at @ThingsExpo, Peter Vanderminden, Principal Industry Analyst for IoT & Digital Supply Chain to Flatiron Strategies, will focus on how IoT deployments can go bad, and in some cases downright ugly, when firms focus on the wrong things and fail to be transparent with their customers concerning data ownership and usage surveillance.
IoT solutions exploit operational data generated by Internet-connected smart “things” for the purpose of gaining operational insight and producing “better outcomes” (for example, create new business models, eliminate unscheduled maintenance, etc.). The explosive proliferation of IoT solutions will result in an exponential growth in the volume of IoT data, precipitating significant Information Governance issues: who owns the IoT data, what are the rights/duties of IoT solutions adopters towards this data, how to deal with Data Residency and Data Privacy issues, how to manage the lifecycle of IoT data, etc.?
President Obama recently announced the launch of a new national awareness campaign to "encourage more Americans to move beyond passwords – adding an extra layer of security like a fingerprint or codes sent to your cellphone." The shift from single passwords to multi-factor authentication couldn’t be timelier or more strategic. This session will focus on why passwords alone are no longer effective, and why the time to act is now. In his session at 19th Cloud Expo, Chris Webber, security strategist at Centrify, discussed how we can move away from passwords towards better, more secure methods of identity verification.
"There are a lot of security issues with connected vehicles right now. We provide the connected vehicle infrastructure for both Hyundai and OnStar," explained David Miller, Chief Security Officer at Covisint, in this SYS-CON.tv interview at @ThingsExpo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Programmable network connectivity and network overlay technologies like Docker libnetwork, Weave Net, and Calico are essential tools for DevOps engineers using orchestration tools to manage and deploy Docker containers in production. Because network troubleshooting and optimization falls within the jurisdiction of DevOps, it’s vital that DevOps engineers understand exactly how network overlays work.
Blockchain is certainly the rage. No matter the industry, you can’t seem to have a technology discussion before the topic is raised. According to Gartner’s latest hype cycle for emerging technologies, blockchain is approaching the peak. It is considered by Gartner as one of the ‘Key platform-enabling technologies to track.’ Approximately $1.4B has been invested in blockchain just this year, according to PwC executive Seamus Cushley. While there is a lot of ‘hype vs reality’ discussions going on, there is no arguing that blockchain is being taken very seriously across industries and cannot be ignored.
Enterprise IT has been in the era of Hybrid Cloud for some time now. But it seems most conversations about Hybrid are focused on integrating AWS, Microsoft Azure, or Google ECM into existing on-premises systems. Where is all the Private Cloud? What do technology providers need to do to make their offerings more compelling? How should enterprise IT executives and buyers define their focus, needs, and roadmap, and communicate that clearly to the providers?
As digital transformations gather pace across the enterprise, companies are faced with a range of difficult challenges to overcome. Maintaining security in the face of cloud adoption, a flood of personal mobile devices in the workplace, and the sharp rise in internet-connected devices can seem daunting. These technology trends are maturing and businesses are looking for ways to combine them and differentiate themselves in the marketplace.