The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, Big Data and IoT isn’t just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impact.
My iPhone Home Screen for 2014
2014 was the year I finally switched to an iPhone all thanks to the broken screen on my much loved Lumia 720. I got an iPhone 5s in June and my iOS app collection from my iPod Touch (2nd gen), iPad 2 & iPad mini made the switch pretty much seamless. I’m making this post inspired by a similar annual exercise by M G Siegler, and hope to study my usage over time. I do still have my Galaxy S3, but that hasn’t managed to become my primary phone in 2.5 years
‘The DNS of Things’ By @PSilvas | @ThingsExpo [#IoT]
The Domain Name Service (DNS) is one of the most important components in networking infrastructure, enabling users and services to access applications by translating URLs (names) into IP addresses (numbers). Because every icon and URL and all embedded content on a website requires a DNS lookup loading complex sites necessitates hundreds of DNS queries. In addition, as more internet-enabled ‘Things’ get connected, people will rely on DNS to name and find their fridges, toasters and toilets.
According to a recent IDG Research Services Survey this rate of traffic will only grow. What’s driving this increase? The growth in volume is largely attributed to the rollout of new services and applications along with expanding migration to the cloud and traffic spikes. The Internet of Things will also place a strain on DNS services. Are you ready for this surge of new services and applications along with potential DNS threats?
IoT and Agile Big Data By @CoryIsaacson | @CloudExpo [#BigData #IoT]
There is no doubt that Big Data is here and getting bigger every day. Building a Big Data infrastructure today is no easy task. There are an enormous number of choices for database engines and technologies. To make things even more challenging, requirements are getting more sophisticated, and the standard paradigm of supporting historical analytics queries is often just one facet of what is needed. As Big Data growth continues, organizations are demanding real-time access to data, allowing immediate and actionable interpretation of events as they happen. Another aspect concerns how to deliver data in a meaningful way, one that really delivers on what end-users need to maintain a competitive position in fast-changing markets.
What is needed is an agile approach to Big Data, one that affords architects and developers the freedom to rapidly support a wide variety of changing business requirements and needs – without a full «reset» of the Big Data infrastructure and toolset.
DevOps Inspires a New Era of SQA | @DevOpsSummit [#DevOps]
High-performing enterprise Software Quality Assurance (SQA) teams validate systems that are ready for use – getting most actively involved as components integrate and form complete systems. These teams catch and report on defects, making sure the customer gets the best software possible. SQA teams have leveraged automation and virtualization to execute more thorough testing in less time – bringing Dev and Ops together, ensuring production readiness. Does the emergence of DevOps mean the end of Enterprise SQA? Does the SQA function become redundant?
In her session at DevOps Summit, Anne Hungate, Senior Director of Software Quality at DIRECTV, advocated for the evolution of Software Quality Engineering. She discussed how the role and impact of an SQA organization changes with DevOps and offer practical steps to move from assurance late in the lifecycle, to prevention, analytics, and customer insight. Anne also discussed how SQA teams are becoming more skilled in engineering methods and making the DevOps journey successful.
New Year’s Resolutions for Internet Retail By @Papa_Fire @CloudExpo [#Cloud]
As the holiday rush is winding down, I sit here reflecting on all the companies that lost business/revenue during the busiest time of the year. Loss of business not because of technology failure, although this is always a manifestation of a problem, but because of process failure in order to remedy the failures of technology. I’ve offered some tips on preparing for the holiday traffic from the system architecture perspective, but perhaps I should have concentrated on preparing for the rush from the organizational perspective.
Endless Possibilities with Internet of Things By @Plantronics | @ThingsExpo [#IoT]
Sensor-enabled things are becoming more commonplace, precursors to a larger and more complex framework that most consider the ultimate promise of the IoT: things connecting, interacting, sharing, storing, and over time perhaps learning and predicting based on habits, behaviors, location, preferences, purchases and more.
In his session at @ThingsExpo, Tom Wesselman, Director of Communications Ecosystem Architecture at Plantronics, will examine the still nascent IoT as it is coalescing, including what it is today, what it might ultimately be, the role of wearable tech, and technology gaps still in play, as the industry strives to create a cohesive, secure, scalable, and beneficial network of ‘things.’
IoT and ‘Sensor Analytics Ecosystem’ By @JAdP | @ThingsExpo [#IoT]
Cultural, regulatory, environmental, political and economic (CREPE) conditions over the past decade are creating cross-industry solution spaces that require processes and technologies from both the Internet of Things (IoT), and Data Management and Analytics (DMA). These solution spaces are evolving into Sensor Analytics Ecosystems (SAE) that represent significant new opportunities for organizations of all types. Public Utilities throughout the world, providing electricity, natural gas and water, are pursuing SmartGrid initiatives that represent one of the more mature examples of SAE. We have spoken with, or attended presentations from, utilities in the United States, South America, Asia and Europe.
Internet of Things and Smart Cities By @Connecthings | @ThingsExpo [#IoT]
Since 2008 and for the first time in history, more than half of humans live in urban areas, urging cities to become “smart.” Today, cities can leverage the wide availability of smartphones combined with new technologies such as Beacons or NFC to connect their urban furniture and environment to create citizen-first services that improve transportation, way-finding and information delivery.
In her session at @ThingsExpo, Laetitia Gazel-Anthoine, CEO of Connecthings, will focus on successful use cases.
The Ethics of Cloud Computing – Part 3 | @CloudExpo [#Cloud]
As I mentioned above, I find that understanding the «why» of moral and ethical behavior is just as important as knowing «what» moral behavior is expected. For this reason, I will briefly outline the origins of the ethical principles I have outlined above.
Broadly speaking, ethical and moral philosophy is dominated by two schools of thought. On the one hand sit deontologists. Deontology is the idea that there are certain moral rules to be followed simply because of the nature of sentient life. For example, a strict deontologist, like the great philosopher Immanuel Kant and even great thinkers in the East, argue that being honest at all times is a moral principle to be observed under any and all circumstances. The basic reasoning here is that human beings have value in and of themselves; completely separate from whom they are, what they may do or how they act. This is a recognition of the universal value of sentient life, especially human life, and certain moral rules are established which insist that sentient life is never to be used as a means to an end because, life is an end it itself. As I say, this type of thinking is common in both Western and Eastern moral philosophy. Even ancient Greek «Virtue Ethics» are based on a deontological thinking.