September 26, 2015

'Digital India' lags behind in world internet race

A particular obstacle is posed by the challenges of laying such an underground network in insurgency-affected states like Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim, Indian-administered Kashmir, Chhattisgarh and Jharkhand. A lack of agreement between the central and state governments does not help, and compounding the mix are illiteracy, poverty and a shortage of skilled manpower. The "Digital India" project aims to promote e-education in over 250,000 government schools and e-governance in about 250,000 village councils via internet connections. However, most schools in villages and towns face a severe shortage of qualified computer trainers.


IBM Wants Watson to Teach Robots Some Social Skills

High says it is important to do this because language alone is only part of human communications. “We augment the words with physical gestures to clarify this and that,” High said. “You can bring into the [robot] interface this gesturing, this body language, the eye movement, the subtle cues that we as humans use when we communicate with one another to reinforce our understand of what we’re expressing.” Robot interaction is becoming an important issue as industrial robots start moving into new settings, requiring them to work alongside people, and as companies try to develop robots for use in stores, offices, and even the home.


CBRE's CIO discusses the new IT operating model

In the old days, IT would collect requirements, and then translate them into a business requirements document and issue an RFP to source the solution. That process doesn't work anymore. We still have to understand requirements, but now we can break them down into bite-sized pieces and deliver solutions iteratively. This means we can move forward delivering value without having to use multiple business cycles to develop a longterm technology system. Longterm visions for systems these days get very outdated, very quickly. It is all about iterative learning and deployment. We do small projects that are continuous in nature and that build on each other and provide value at every stage.


Colocation to Cloud – Making the Right Choice

The choice of whom to colocate with represents the first stage of the journey but it is also often the most important decision that any business will make along the way. In the near term, colocation gives businesses peace of mind, allowing them to participate in the benefits of a hosted datacentre while managing IT upgrades within their budget and timeline. Companies can migrate elements of the operations and management for maximum benefits and minimum risk. For many organisations, however, this will be just one part of an evolutionary process. Where service providers like Pulsant are able to add significant value over and above the traditional colocation provider is in supporting the transition from colocation to cloud.


NFV MANO Mania Has Run its Course

The NFV MANO model needs to adapt to this new reality. The original architectural concept, developed in 2011, became a roadmap of new technology elements and standards needed for NFV. A lot has changed since 2011 and it’s all likely to change again, and it’s not clear that the MANO model will — or can — adapt quickly enough. Service providers and technology vendors with whom I’ve spoken in recent months say some of the confusion about the future of service-provider NFV stems from the ubiquitous MANO diagram, which can be seen below. The marketing guys got a hold of this slide and promoted it at every NFV conference on earth. It became a sort of Rosetta Stone for NFV.


The Future of Data Science

“What data scientists use today is a combination of statistical and machine learning algorithms to find patterns in the predictive models they use,” he says. “Traditionally, they’ve had to have a strong mathematical foundation. You hear many data scientists saying ‘I did the math.’ That also refers to running statistical machine learning algorithms. “In the future,” he continues, “the tools are going to de-emphasize the mechanics of doing machine learning. So the data scientists are going to be more creative about the types of models they create, freeing them up to have more time for curiosity to discover new things that may be of value.” ... In the future, advances in data science tools will help leverage the existing data science talent to greater effect, Gualtieri says.


Why You Should be a Little Scared of Machine Learning

What deep learning will allow us to do is to bridge the semantic gap between the fuzzy thing that is the real world, and the symbolic world computer programs operate in. Simply put, machines will soon have much more understanding of the world than they currently do. A few years from now, you’ll take a picture of your friend Sarah eating an ice cream cone, and some machine in the cloud will recognize Sarah in the said picture. It will know that she’s eating ice cream, probably chocolate flavored by the color of it. Facial expression recognition will make it possible to see that she looks excited with a hint of insecurity.


Pragmatic Technical Debt Management

One of the key ways to prevent technical debt is to create awareness about technical debt in development teams. Development teams must know about technical debt, its various dimensions and types, and the impact of debt on their project. They must be well equipped with code quality concepts, clean coding practices, design smells, and ways to refactor them. The level of understanding and awareness about best practices and above-mentioned concepts could be improved by conducting focused trainings, as well as organizing workshops and conferences. Employing relevant processes can help a development team prevent accumulation of technical debt. Typical examples of such processes are review processes and architecture governance.


Banks Embrace Bitcoin’s Heart but Not Its Soul

“We’re likely going to see years of exploration and talking and some preliminary products with companies like Chain, but it’ll be a very narrow use case,” says Silbert. He predicts that in coming years Bitcoin will rise to become a recognized store of value of something like gold, and that innovation in its design and services built on top will see the original, public blockchain become an underpinning for financial services of all kinds. “Eventually Wall Street will come to appreciate that the Bitcoin blockchain is the most secure and most flexible and can solve a lot of the issues that they have,” he says.


Microsoft has big plans for its mobile apps: more sharing, more collaboration

Something's happening to the Outlook apps for iOS and Android. Quietly, they’ve begun to take on more and more responsibility—not just email, but calendaring and file information as well.  It's no accident. Smartphone apps began life as focused, single-purpose products, but Microsoft's betting we'll want more interconnectivity moving forward. Just as cosmic dust collected into stars and planets, then began rotating about one another, colliding and sometimes gobbling each other up, Microsoft’s mobile apps are being built to interact with each other, share information, work together.



Quote for the day:

“Don’t just spot and point out problems – solve them.” -- S. Chris Edmonds

September 25, 2015

US protection of Europeans' personal data is inadequate, says EU court official

Bot's opinion concerns a rather convoluted case brought before the High Court of Ireland by Austrian citizen Maximillian Schrems. .. He had made the complaint in Ireland because Facebook's European headquarters is there, putting its interactions with citizens of any EU country under Irish data protection law. EU law requires that companies exporting EU citizens' personal data do so only to countries providing a similar level of legal protection for that data. In the case of the U.S., the exchange of personal data is covered by the Safe Harbor Privacy Principles, which the European Commission ruled in July 2000 provide adequate protection.


After A Long Slump, IT Certification Pay Bounces Back

In general, IT certifications that are increasing salaries include ones related to architecture, security and cloud, including those that require deep systems knowledge, as well as certifications on skills specific to a platform or vendor, Foote said. Even if some of the most in-demand skills begin to see salary rates drop slightly, it may not be a sign that those skills are no longer hot -- it may simply be the supply of workers is catching up with the demand, so the certification payoff isn't as strong. One job that will stay at the top of the hot-skills list: security. That's because members of companies' board of directors are getting personally sued after security breaches, putting security concerns squarely in the C-suite, Foote said.


Mobile strategies increase the need for data loss prevention technology in Europe

Google’s Android lock functionality should help relieve at least some of the concerns that IT administrators might have in allowing employees to use Android devices to access and store business applications and data. “One of the main tasks of administrators is to set authorisation levels for employees according to departmental and task requirements. They also have to ensure that security does not limit accessibility,” according to Foecki. “For example, two users on the same device will mean two completely different levels of authorisation for transferring data. This flexibility marries convenience with security.”


Regulated Cloud Data: A Day in the Life

Recent survey findings show most IT security professionals believe they don’t have full visibility into where all their organization’s sensitive data truly resides. It’s important to note that cloud data has a three-phase life-cycle. And the journey carries many new risks. Today’s data privacy and compliance practitioners increasingly embrace the idea that safeguards must be in place during all three phases – In-motion; at-rest and, in-use – regardless of where it physically exists (e.g., within the company or in outsourced cloud systems). As many in the nation tune in to the U.S. Open, let's take a look at why so many enterprises are making such a racket (sorry!) about cloud – and the major concepts and considerations they must consider when it comes to gaining visibility into and control over data during its daily journey to, from, and within public cloud environments.


The Top 10 Tips for Building an Effective Security Dashboard

Today, enterprises must grapple with a panoply of numerous and highly sophisticated threats. In response to this dangerous landscape, it is no wonder that businesses are increasingly turning to security dashboards – a powerful communication vehicle for all information security professionals. An effective security dashboard provides personnel, ranging from security analysts to CISOs, with the tools to report on incidents and evaluate security risks. Providers typically offer customers a number of customizable solutions, but this variety begs the question: what features make a security dashboard most effective? We asked industry experts for their tips on what they recommend a powerful dashboard must have.


Infrastructure Code Reviews

When trying to first introduce systematic code review organizations often get tripped up on when to insert the review. Should it be pre-push review (before the change has landed in the authoritative repository) or post-push (some time after the change has landed)? Since pre-push review happens before the change is deployed authors are incentivized to craft small changes that can be readily understood (since the change will not be deployed until someone else understands it) and reviewers have a chance to make meaningful suggestions before the code runs in production. However, adding a new -- blocking -- step to the development process is a risky and potentially disruptive change. Post-push review still realizes many of the benefits of review in general and requires no initial changes to anyone's process.


XMLFoundation

XML data is processed by xmlLex.cpp like all XML in the XMLFoundation it then uses JNI to make instances of Java Objects that come instantiated with all the member variables already assigned from the XML - No code needs to be written to accomplish this - just a little table of information that allows the algorithm to correlate XML Elements to member variables. ... It's like magic from the Java side, the objects just appear in their containers. I make some outrageous claims in this article, and so that none of them be proved false – it needs to be known that JavaXMLFoundation.cpp uses a DOMish approach underneath Java, and therefore although it’s still fast its not going to have the big speed gain of the pure C++ implementation.


Doing tokenization and cloud computing the PCI way

While the cloud has its benefits, it’s only as secure as you make it. As recent as last week, over 1.5 million medical records were breached on Amazon Web Services. The names, addresses, and phone numbers, along with biological health information including existing illnesses and current medications, were posted in the clear to Amazon S3 storage servers. These could have just as easily been credit card numbers. It’s also imperative to realize that just because a cloud vendor offers up a PCI certified environment; it does not mean everything you build on top of it will automatically be in compliance with the PCI DSS or PA-DSS requirements.


Deals Demand Prior CFO Involvement in Data Security

Companies would perform due diligence on a target and look at all the standard risk factors: tax issues, environmental issues, employee arrangements, intellectual property issues, licenses and permits, debt, and other aspects of financial health among them. But as sensitivity to data and its value has risen over the recent years, a company’s data can become a significant asset, often to the point of being the critical one justifying a deal. But it also can be the reason a deal gets killed. No one wants to invest in a company only to have it hacked due to poor data security and then become the target of a regulatory investigation for unfair and deceptive trade practices due to poor privacy disclosures.


Creating an organizational culture of resilience: Resilient leaders are the key

An organizational culture of resilience may be thought of as a climate or general atmosphere within a group, organization, or community which fosters resilience in the wake of adversity. It is an environment is that perceived by the majority of members/ workers as supportive, motivating, and non-punitive.  ... IOM notes that in developing resilient leaders, it is especially important to focus on frontline supervisors. Frontline supervisors may be the best medium for not only initiating changes within organizations but also sustaining those changes. Once created, resilient leadership practices serve as the catalyst that inspires others to exhibit resilience and to exceed their own expectations.



Quote for the day:

"Leadership is intangible, and therefore no weapon ever designed can replace it." -- Omar N. Bradley

September 23, 2015

Orchestrators of Orchestrators: Streamlining NFV Complexity

By contrast, the performance and capacity of NFV-defined functions are transformed by the multi-tenant hosting infrastructure (think network server) and the current load from all its applications. The workload on that infrastructure is constantly changing due to the context of the network at any point in time. Yes, NFV can enable flexibility and agility, but it’s hard to monitor exactly what’s going on and thereby proactively manage it. That lack of determinism frustrates traditional means of administering the network, because the need for real-time operations support systems (OSSs) is moving deeper into the network itself.


Going entirely virtual is breaking new ground for efficiency

After all, none of the hardware equipment has any intrinsic value for a company. Instead, the intelligence resides in the data itself and its potential for any business. Residing ‘in the cloud’, virtualised data can be rendered both user accessible and secure. The balancing act is substantially simplified through emerging technology, which reduces the number of physical data copies, thus representing a smaller attack surface, a tighter span of protection and greater control. Reducing the number of physical data copies also eliminates the necessity for continuously adding storage capacity. Copy data virtualisation delivers new frontiers of flexibility and speed to meet business objectives at higher performance levels and lower costs.


How Apache Spark Is Transforming Big Data Processing, Development

“What made it [Spark] game changing is it had cross-platform capability,” Glickman said. “It combined relational, functional, iterative APIs without going through all the boilerplate or all the conversions back and forth to SQL or not. It was storage agnostic, which I think was the key insight Hadoop had been missing, because people were thinking about how to put compute on HDFS" Glickman also saw other advantages of Spark, including that it provides compute elasticity as well as the ability to scale storage and the number of application users. “The power of Spark is in the API abstractions,” said Glickman. “Spark is becoming the lingua franca of big data analytics. We should all embrace this.”


Java 9 & Jigsaw: Reinhold on 'the State of the Modular System'

JSR 376 is, of course, the Java Specification Request that aims to define "an approachable yet scalable module system for the Java Platform." But Project Jigsaw actually comprises JSR 376 and four JEPs (JDK Enhancements Proposals), which are sort of like JSRs that allow Oracle to develop small, targeted features for the Java language and virtual machine outside the Java Community Process (JCP). (The JCP requires full JSRs.) JEP 200: The Modular JDK defines a modular structure for the JDK. Reinhold has described it as an "umbrella for all the rest of them." JEP 201: Modular Source Code reorganizes the JDK source code into modules. JEP 220: Modular Run-Time Images restructures the JDK and JRE run-time images to accommodate modules.


Seven big data failures to watch out for

An insurance company wanted to investigate the relationship between good or bad habits and the propensity for buying life insurance. When the company realized "habits" was too general, it focused solely on smokers versus non-smokers, but even that didn't work. "In half a year, they closed this project, because they didn't find anything," Sicular said. The failure, in this case, was due to the complexity of the problem. There's a big gray area the insurance company didn't account for: People who smoked and quit, a nuance likely overlooked because, to put it simply, "they're not healthcare professionals," Sicular said.


Ten technologies that are precursors to the AI era

After decades of research and development, artificial intelligence (AI) is finally becoming a part of daily life. While we may not be fully in the age of AI just yet, there's no denying that it's just around the corner. The evidence is clear in the consumer market with personal assistant apps like Siri and Google Now using AI to provide contextual, relevant information, and anticipate our needs. But, the enterprise is rife with AI as well, in the form of cognitive computing, machine learning, and more. Here are ten enterprise technologies that are setting the stage for the AI era to come.


Introducing Splunk IT Service Intelligence

There are plenty of tools for looking at the data, but each tool and the data exposes is isolated from all of the other tools. And without the ability to correlate data across tiers, it is hard to understand why something is happening. Splunk itself is good for pulling in arbitrary data sources, allowing analysts to correlate data such as real-time sales data with web server traffic and database health. But that alone isn’t enough. The ad hoc queries written by the analysts are, by their nature, non-repeatable. And with the application developers being pulled in multiple directions, it can be hard to find one to build and maintain custom dashboards. Splunk’s new product called IT Service Intelligence (ITSI). Splunk ITSI is designed to allow analysts create their own dashboards.


Crowdsource your way to a better IT team

Traditionally, HR and recruiting have been pressured to solve the problem of the talent war and the skills gap through ever-increasing compensation packages, poaching talent, offshoring and outsourcing, but clearly that hasn't worked to solve the whole problem. This "crowdsourcing" approach gives CIOs a new way to address these talent issues, says Harry West, vice president of services product management for Appirio. "The gig economy doesn't have to be threatening at all. There's a huge opportunity for businesses here, and a large pool of flexible, highly skilled workers almost on-demand. CIOs have the opportunity to tap into a scalable workforce that can help them meet IT needs and reduce costs," says West.


Operations Has Plenty To Do In A Cloud Native Enterprise

I’ve actually had an opportunity to talk to some individual at some large enterprises where they are worried about things like their ERP system but also how people operate, interoperate with it. I think that there’s probably interesting problems in all of the realms, you don’t have to be a website, public facing, Open API, whatever, in order to have interesting problems to solve. I do think that perhaps running an exchange server yourself in-house these days is possibly better not done. I would say that you’re probably going to add more value to your business by just going and getting one of the numerous cloud solutions that’s available for that. Having people actually help, I don’t know, make the bring-your-own-device solutions work better for your enterprise, or something.


Strategy for Cloud Automation

There are a number of out-of-box automation solutions that give you access to predefined production workflows that can help cut out the need for custom development. This helps support the concept that the operations team should be the team that drives the automation. However, the term “predefined” often has a secondary definition of “limitation.” You still have the ability to create the “custom” code needed to remove any limitations you encounter with the predefined workflows. The developer role will still be needed for any kind of DevOps model, but I have a strong belief that you can teach the Dev to Ops, but cannot really teach the Ops to Dev.



Quote for the day:

"You think you can win on talent alone? Gentlemen, you don't have enough talent to win on talent alone." -- Herb Brooks

September 22, 2015

Microsoft forges ahead with 'Prajna' big-data analytics framework for cloud services

The "functional programming" component of Prajna has to do with F#, the .Net functional programming language. ... "Prajna offers real-time in-memory data analytical capability similar to Spark (but on .Net platform), but offers additional capability to allow programmer to easily build and deploy cloud services, and consume the services in mobile apps, and build distributed application with state (e.g., a distributed in-memory key-value store)," that job posting adds. ... the Microsoft team claims that Prajna is pushing the distributed functional programming model further than Spark does by "enabling multi-cluster distributed programming, running both managed code and unmanaged code, in-memory data sharing across jobs, push data flow, etc."


IoT: Connect Physical and Digital Worlds for New Business Models

A physical thing becomes “smart” when it connects to the digital world. The layers 2,3 and 4 allows us to invent and propose to individuals (customers but also citizens) new services (digital services of layer 5). One important fact is that layers 1 through 5 cannot be created independently of each other. That is why the arrows connecting them are bi‐directional in fig 1. An IoT solution with value is usually not the simple addition of layers, but rather, an integration extending into the physical level. How the hardware is built, for instance, is increasingly influenced by the subsequent digital levels and on the other hand, software which compose the digital levels and must be designed to fit the physical levels.


A new breed of database hopes to blend the best of NoSQL and RDBMS

Relationships are as important as the data itself in today's connected world. Use cases that require modeling complex relationships are the best for graph databases. As such, Real Time Recommendation, Fraud Detection, Master Data Management, Social Networks, Network Management, Geolocalized Apps and Routing, Blockchain, Internet of Things, Identity Management, and many others come to mind. ... OrientDB is a distributed graph database where every vertex and edge is a JSON document. In other words, OrientDB is a native multi-model database and marries the connectedness of graphs, the agility of documents, and the familiar SQL dialect.


Data Governance and Data Management Are Not Interchangeable

The funny thing is, vendors actually began drinking their own marketing Kool-aid and think of their MDM, quality, security, and lifecycle management products as data governance tools/solutions. Storage and virtualizations vendors are even starting to grock on to this claiming they govern data. Big data vendors jumped over data management altogether and just call their catalogs, security, and lineage capabilities data governance. ... First, you (vendor or data professional) cannot simply sweep the history of legacy data investments that were limited in results and painful to implement under the MadMen carpet. Own it and address the challenges through technology innovation rather than words.


3 key DevOps principles to apply to your IT team

Development teams want to launch features fast and frequently while IT Ops wants to maintain infrastructure stability and availability – which means as little changes as possible. Customers want both. ... Developers are often isolated from the rest of IT in larger organizations. Even though they’re part of the same department, lack of collaboration can impact how teams work without so much of a reason as people sit in different parts of the building or don’t talk at lunch. However, they often need to work together. Not only should developers assign resources for escalation, but also they should also support the SLA with the customer. The SLA makes them accountable for impact to business productivity, aligning them with IT.


Test, deploy, release ... repeat

The Toyota Kata refers to this as establishing “strategic direction.” To Stephen Bungay, though, it is strategic intent and Hoshin Kanri calls it strategy deployment.  Once you have a strategic direction, you can find out where the gaps are, then establish immediate steps, called a target condition and move toward that goal. ... One way to conduct a gap analysis is to look at the entire process: Build, Test, Fix, Deploy-Coordinate, Deploy/Do -- looking at how long each step takes if done ideally, and the various ways that step breaks down. Eventually, you'll find a bottleneck: a step that’s holding back improvement the most. Sometimes, the what-to-fix isn't the bottleneck, but the easiest to improve right now.


OpenStack + Windows Nano Server

Nano Server is a Windows OS created for the cloud age. It has been announced by Microsoft this April and is going to be shipped with Windows Server 2016. What makes Nano Server special? A very small disk footprint compared to traditional Windows Server deployments (a few hundred MB instead of multiple GB); A very limited attack surface; A very limited number of components, which means fewer updates and fewer reboots; and Much faster virtual and bare-metal deployment times due to the reduced footprint. ... In short, the OS has been stripped from everything that is not needed in a cloud environment, in particular the GUI stack, the x86 subsystem (WOW64), MSI installer support and unnecessary API.


Q&A on the Scrumban [R]Evolution

In Scrumban, teams can still employ the same estimation techniques, but they can enhance their understanding of the work in the context of their historical performance. Delivery time -- the amount of time it takes for work to be completed once it has begun -- can be graphically plotted to reflect the team’s distribution pattern. These kinds of additional views into the team’s work provides many advantages.  From a team standpoint, they begin to better understand the degree of variability in their historical deliveries. They can explore whether or not some of that variability can be correlated to other factors, and manage their estimation and Sprint planning process from a position of superior understanding of their historical performance.


Five digital disruptors talk successes and strategies

Success in breaking down barriers doesn't come from just talking the talk. Conophy is strategic when pairing up a member of his team with a business colleague, selecting someone who understands business basics such as how the company makes money and is patient enough to sit in a room with the business and field question after question. "It's a different dynamic," Conophy said. "And that also means your people have to be articulate, understand the technology ecosystem and, at the same time, understand the business to be effective in that room." He's also introduced a two-speed IT model by unshackling "those at the sharp end of the sharp end" -- potential digital disruptors -- from traditional IT functions so that they can experiment, innovate and "go after the likes of a different kind of competitor," he said.


Instead of robots taking jobs, A.I. may help humans do their jobs better

"Think about when Luke Skywalker loses his hand," said Melroy. "He gets a new one and it can feel. It's no different. He can continue to function in all the ways he was used to. The ability to control that new hand with your brain and have seamless sensing in real life? Absolutely, that is coming. That is five to 10 years away." To make that work, Melroy said, we'll need to be able to communicate with our smart devices without typing on a keyboard or using a mouse. Even spoken commands would be too awkward. We'll need to communicate with our assistants or devices with our thoughts. According to several researchers, such an advance is not far away.



Quote for the day:

"Every time you share your vision, you strengthen your own subconscious belief that you can achieve it." -- Jack Canfield

September 21, 2015

Why enterprise digital transformation efforts stall

“The most important thing is to have a clear view of your strategic objectives,” says Sengupta. “Are you doing things for efficiency or are you doing things for growth?” Having that clarity makes is easier to identify appropriate metrics for digital efforts. In addition, digital transformation project teams must be cross-functional and accountable to a set of common outcomes. “Most organizations get the first part right, but in the end it is human nature to steer towards their own individual incentive structures,” Sengupta says. “Driving alignment is important at every level—from the strategic down to the individual.” IT must also collaborate with the business to create an end-to-end vision for any digital improvement, including the business process and organizational changes required for them to deliver business value.


Container orchestration tools, strategies for success

The first step for container orchestration is choosing the right tool ... The second best practice for container orchestration is to spend time on your application architecture. Many organizations rush through container-based application development, especially since orchestration tools remove some of the underlying complexity. But it pays to think carefully about how to divide up the application within the containers that the orchestration tool will manage. ... Finally, test and properly operationalize the container orchestrations. At the end of the day, you have to provide users with something that functions correctly and provides nearly 100% uptime. Perform component and regression tests, performance tests and penetration tests for security reasons.


Big Intelligence: BI Meets Big Data, with Apache Drill

Apache Drill enables data analysts to explore the data without having to ask IT counterparts to define schemas or create new ETL processes. As analysts delve into the data, Apache Drill’s engine discovers the source schemas and automatically adjusts query plans. Querying self-describing data and being able to process complex data types as you go, provides an entirely new way of wringing every possible useful bit and byte of business intelligence from big data. Data sources such as Hadoop, HBase, and MongoDB can be queried using ANSI SQL semantics to glean new insights at the speed of thought. Actionable insight comes from seeing the correlations across multiple, apparently unrelated data sources, including blog posts, sensors, clickstreams, customer interaction records, videos, transaction data, competitive analysis, and much more.


A New World Of Data

The center of data gravity is moving with more apps being delivered via cloud Software as a Service (SaaS). In the past, I might only have to extract Salesforce data with other on-premises app data into a client’s on-premises data warehouse. Today there is a constantly growing list of popular cloud app data sources that analytics pros need to include in decision-making processes. If you neglect the ocean of cloud and IoT data sources that your opponents do include in their analytics, you will lose your competitive edge and may miss a key window of opportunity in the hyper-competitive global economy. Don’t believe me? Here is a competitive reality check. In 2014, 89% of 1955 Fortune 500 firms vanished. Steven Denning pointed out in Forbes that “fifty years ago, the life expectancy of a firm in the Fortune 500 was around 75 years. Today, it’s less than 15 years and declining all the time.”


Rating programming languages – Swift is hot, Dart is not

While both Swift and Go have moved up into the Top 20, the Top 10 languages have been relatively static for the last few years. JavaScript has edged Java out of the No. 1 spot, with perennial favourites PHP, Python, C#, C++, Ruby, CSS, C and Objective-C making up the rest of Top 10. This cosy Top 10 arrangement is unlikely to change any time soon, O'Grady believes. "Each represents a significant population of developers, and while they are all used in a variety of contexts, they also have areas of individual strength," he says. Even the possibility of building multi-platform applications in C# is unlikely to give that language a significant boost, he feels. That's because the languages it would have to leapfrog are already immensely popular in their own right, and have been multi-platform for years.


Bimodal IT: A two-pronged approach to delivering innovation and maintenance

"It's very important when you have an established organization to give room for innovation, and you usually can't do that within the boundaries of an established organization," he says. "So whatever you call it, you have to have it within another unit. You need teams focused on a new innovative piece." He says the move is paying off for the company, which has embarked on a digital transformation that has used technologies, such as the Internet of Things and mobile platforms, to make its equipment smarter, its workforce more efficient, and the company better connected and more responsive to customers. "It's really allowing us to have a faster, more risk-taking approach. You have the start-up mentality," he adds.


How To Succeed With Advanced Analytics

Enterprises looking to gain a competitive advantage with advanced analytics may want to take a look at their own corporate cultures before they invest big bucks in new tools and build out a workforce of data scientists. Lack of investment isn't one of the top reasons predictive analytics and prescriptive analytics programs fail. Rather, they fail because they lack buy-in from users and other stakeholders. That's according to Lisa Kart, research analyst at Gartner, who will present her best practices for advanced analytics projects during the Gartner Business Intelligence & Analytics Summit 2015 in Munich next month. The summit marks the first event in a series that will travel the world over the next 12 months, landing in the Dallas area in March 2016.


We need to turn our security model inside out

We need to stop being so application agnostic close to the app and begin shifting that all left, toward dev and ops and a software model that scales both economically and architecturally. We need a generic, corporate security infrastructure at the traditional edge of the network and a specific, per-application security architecture at the new perimeter: the application. ... Consider the coming tsunami of applications generated by the Internet of things and adoption of microservices architectures. If every “new” technology generally results in a 10x increase in applications, then how many applications will two, simultaneous “new” technologies generate? How many new security policies will be required at the edge of the network to support each and every one of those applications?


From tech supplier to IT service provider, a CIO makes the 'big switch'

"IT is not just an enabler of certain processes but part of the delivery of every product and service we offer," Watkins said. Indeed, the company itself was undergoing a transformation, Watkins said. KAR no longer wanted to be a car auction company that uses technology but "a technology company that sells cars," he said. IT had not kept up with the vision. "With the convergence of these technologies, business demand skyrocketed and created a wide gap between business expectations and IT delivery. Something had to switch," Watkins said. ... "We need our staff to be agents of change. The status quo doesn't get it done. We have to look at things differently. We have to be problem solvers. We have to bridge siloes between IT and operations, between one IT team and another IT team, and between being a technology provider and being a service organization," he said.


How ‘joint employer’ ruling impacts IT outsourcing customers

IT outsourcing customers should take this opportunity to review the amount of control they retain over employees of their IT service providers. “Since this is the first case, it is difficult to determine how much control is too much—and will qualify an outsourcer as a joint employer,” said Van Noose, “and these companies should consult an attorney to assist in further evaluating whether they retain an a degree of control that would amount to a ‘joint employer’ under this decision.” “This decision involves potentially requiring an outsourcing customer to get involved in responding to employees of the outsourcer in ways that are different from the ways that typical outsourcing contracts indemnify against,” says Edward J. Hansen, partner in the business technology and complex sourcing practice at McCarter & English.



Quote for the day:

"Leaders are more powerful role models when they learn than when they teach." -- Rosabeth Moss Kantor