September 20, 2015

PowerShell is pretty close to a full-blown programming language in expressive power and the breadth and depth of its lexicon and syntax. Task-oriented code items in PowerShell are called "cmdlets" and there is an amazing variety of pre-fabricated cmdlets available from Microsoft (and other parties) for all kinds of administrative tasks, for everything from Windows configuration and installation, to file and print management, policy management, virtual machine management, and lots, lots, lots more. PowerShell has been around long enough that it's now in its 5th major version, as the output of this PowerShell variable ($PSVersionTable.PSVersion) illustrates:


Android Pay On Android Wear – Everything You Need To Know

Faster, easier purchases without having to take your wallet out of your pocket, connect it to the payment terminal, type in your pin number, make the payment then take it out, put it back in your wallet and back in your pocket. Just tap and pay, 1 second transaction. Another major benefit comes from pre-implemented “loyalty programs”, right into Android Pay and this feature alone is going to revolutionise shopping. Finally, free, instant, person-to-person payments. ... Android Pay can be used with all NFC enabled Android devices, on any mobile carrier, with every “tap and pay ready” location across the US, to start with. At this point, Android Pay supports credit and debit cards from Visa, MasterCard, American Express and Discover, with worldwide banks enrolling day by day.


How to Balance the Five Analytic Dimensions

Most businesses do not understand how to nuance when it comes to predictive accuracy; however, it will be essential for a Data Scientist to help the organization move beyond the simple notion of accuracy. Obviously we all want to hit the proverbial target. At least directionally, as a Data Scientist, you will want to steer the conversation to something more useful, like an algorithm that produces “high accuracy/low precision” or “high accuracy/high precision”. It usually proves beneficial to the business audience to distinguish what is meant by accuracy and precision as they appear to be close in meaning. Help them see that “accuracy” refers to the closeness of a predicted value to the actual value.


Six Patterns of Big Data and Analytics Adoption

In this white paper, IDC describes lessons learned from interviews and surveys of organizations engaged in Big Data initiatives and the patterns of adoption they have followed to expand existing or initiate new Big Data projects to create value for their organizations. The document highlights the importance of the Big Data architecture to drive improvements and innovation in customer interactions, operational efficiency, and compliance and risk management, among a wide range of business goals and desired outcomes. This white paper utilizes previously published IDC research frameworks such as the IDC Big Data and Analytics Opportunity Matrix and the IDC Big Data and Analytics MaturityScape. Finally, this white paper highlights Oracle Corp.'s Big Data architecture, technology, and services, as well as Oracle customer examples utilizing these offerings.


The evolution of ransomware: From PC Cyborg to a service for sale

In recent years there have been new waves of malware designed to encrypt the user’s information, enabling cybercriminals to demand a ransom payment that will allow the user to decrypt the files, and these are detected by ESET security solutions as filecoders. In 2013, we learned about the importance of CryptoLocker due to the number of infections that occurred in various countries. Its main characteristics include encryption through 2048-bit RSA public key algorithms, the fact that it targets only certain types of file extensions, and the use of C&C communications through the anonymous Tor network. Almost simultaneously, CryptoWall made its appearance and succeeded in outdoing its predecessor in terms of the number of infections, partly due to the attack vectors employed


This Technology Is About To Make Us All Way More Productive

Machine learning lets a computer continually adapt itself to your inputs so it can keep improving its results. Another excellent example of this is found in Apple’s new iPhone operating system. Engineered with what Apple bills as more “proactive” intelligence, iOS 9 pushes apps that you often use in certain situations to your lock screen for easy access. So if you tend to listen to podcasts on your commute to work, it might suggest you open Stitcher every morning around the time you leave home. ... “We’re at the early stages of applying machine learning to productivity,” says Tim Porter, founder of Gluru, a startup building a smart personal assistant for people’s daily workflow.


Awesome Feature of AOP in Spring

AOP modularity means method does call crosscutting object instead crosscutting class methods are expressed in such a way that it calls itself wherever it is required. I am going to explain how it works. I am not going to deal with setting up environment or with detailed use of AOP. My main objective of this tip is to tell Spring developers who have not used it before about AOP. AOP seems complicated but it is quite easy to use and provides a very powerful feature. This tip shows how with the use of some simple keywords we can achieve AOP. I am not deep diving into setting up environment. Once a Spring developer can understand the simplicity of AOP, then setting up an environment would not be a tough task.


Four Must-Have Rules for Scaling Enterprise Agile

Agile methodologies long ago proved their efficiency with small co-located teams, hitting home with the flexibility and velocity that come naturally to such teams. But when it comes to moving past team level to organizational scale, Agile practices are up against enterprise development realities like distributed teams, multi-component projects and traditional resource management. As a matter of fact, to adopt Agile practices, specifically Scrum, no organization is too big, complex or distributed. Scrum practices scale perfectly well to fit complex enterprises of more than 100 people, provided due attention is paid to organize the transition process. Here are four rules to follow when implementing Agile at the multi-team enterprise level.


A Kick-SaaS Enterprise Encryption Strategy

When data is inside your four walls, so to speak, you put trust in your own employees, the infrastructure and security solutions that you select, and the policies that you create to secure it. But as information moves to the cloud, data physically resides in infrastructures owned and managed by another entity – and that trust goes into someone else’s hands, infrastructure and security policy decisions. That is, unless you and your SaaS provider take a new approach. Recent mega-breaches (think: Anthem, Sony) have proven that hackers are after one thing: data. By using encryption, SaaS providers can render sensitive data unusable to hackers. However, encryption alone is not enough. Access controls and key management can also prove to be weak points in a SaaS provider’s defenses.


The IoT, Data and the Principle of Great Expectations

Call it the “Principle of Great Expectations”” the greater the hype or estimated market size, the higher the likelihood of a rapid proliferation of products that are “tragically pathetic.” Products are often developed simply because certain technologies have become available, without a lot of thought given to why users need them or how to make them delightful to use. Take, for example, one of today’s most successful product categories: the tablet. The first product in this category, the GRiDPad, was introduced in September 1989. It was followed by other unsuccessful attempts to crack the tablet market, including the Apple Newton, in 1993, and the enterprise-oriented Microsoft Tablet PC, in 2002. It wasn’t until 2010, when Apple introduced the iPad, that the tablet became a successful mainstream product, appealing to both consumers and business users.



Quote for the day:

"If everyone has to think outside the box, maybe it is the box that needs fixing." -- Malcolm Gladwell

September 19, 2015

Linda Rising on Continuous Retrospectives

The idea is that in the normal retrospective, there are lots of exercises that we do and one of my favorites is called the Timeline. I am sure you have seen it. You use cards or stickies of different colors and you begin. If it is a reiteration retrospective, you begin with the beginning of the iteration and you put the date and then the end date and then across the time line you put the stickies or the cards that reflect events and they are of different colors. Then you reflect back and you use that to drive actions that you are going to take at the end of the retrospective because, unfortunately, most of us, not just old people like me, cannot remember what happened. So it is an exercise to help you remember what happened.


Wearables Are Dead, Long Live Wearable Tech!

Obviously, the mass market understands little of how the wearable technology works, what’s inside those little gadgets and frankly, why should they care? But for us, the ones with a vision, the ones who see a layer or two deeper inside these devices, for those of us looking for new markets, new business ideas, the question remains: Is there anything beyond a Fitbit bracelet or the latest Apple Watch? We’ve listened to Laurenti de’ Medici, our CEO, speaking at Digital Catapult a couple of weeks ago about the constant changes in wearable tech landscape, about “wearables” as we know them nowadays – fitness trackers, NFC rings, smartwatches – slowly morphing into embedded, ingestibles, implantables and smart sensors; logical changes leading to disruption, leading to new trends, new markets, new jobs, new industries such as fashion tech and digital health.


Facebook’s Cyborg Virtual Assistant Is Learning from Its Trainers

M can do those things because the software hands off things it can’t do to human operators known as “trainers.” Sometimes a trainer has to do all the work, but M is also capable of digesting queries it recognizes but can’t handle into easy-to-process summaries that make a trainer’s work more efficient. Right now this model is not efficient enough for M to be more than just an experiment, because it requires too many human workers. But Alex Lebrun, who leads the team working on Facebook’s assistant, says that it can become a real product because the work of the human trainers is gradually teaching the software how to do a greater share of the work. LeBrun and his team joined Facebook when the social network acquired the startup he cofounded,


Not enough IT specialists: RBA chief

"The market for the kind of IT skills you need to build payment systems seems to be pretty hot right now because you've got four big institutions and then some smaller ones like us dipping into that pool," he told the House of Representatives economics committee on Friday. A Greythorn study from last year predicted that Australia would head into a "huge" skills shortage within the next five years. The survey said Australia was at risk of losing its IT professionals to the overseas market. However, the most recent Skills Shortages Australia report by the Australian Department of Employment said there was no skills shortage in the ICT sector in Australia. "Demand for ICT professionals is subdued and employers have little difficulty recruiting workers who meet their skill level expectations,"


Where’s The Money in Data? (Part II)

If the focus of the problem to be solved is internal and the state is existing, then the defined monetization opportunity is business optimization. When using data for business optimization, the value generation and recognition is not defined by revenue dollars or asset assessments for accounting ledgers. The monetized value of data in business optimization is defined by reducing costs or improving productivity in business operations. While the value of business optimization can certainly be defined in monetary terms, the value can also be recognized in soft terms such as increased employee satisfaction, reduced time and effort, or increased accuracy and quality all of which have significant value for the overall business.


Project Management 101: The Complete Guide to Agile, Kanban, Scrum and Beyond

Although most of us will never be tasked with goals of such scope, many of us have to manage projects in one way or another. The Project Management Institute estimates there will be more than 15 million new project manager positions added to the global job market by 2020—and many of the rest of us will still have smaller projects to manage on our own. Project Management, simplified, is the organization and strategic execution of everything that needs to get done to tackle a finite goal—on time and within budget. Whether developing new software, carrying out a marketing campaign, or landing a human on Mars, project management is what gets you to your goal.


San Francisco’s darling Salesforce dreams of superstar status

“We’re trying to create a bit of diversity away from the big whoops and high fives,” Loftis says. She adds that while Salesforce tends to be lauded by customers, the notion that deploying services is simple is wrong: companies need to put in a fair amount of effort to get the best return on investment possible. “Users don’t necessarily feel they’re getting a lot of value for the data they’re being asked to put into the system. On ROI, it’s not that people feel they’re not getting enough but people say ‘this takes more investment than we thought it would’. It’s not just licensing and implementation; adoption and the change management perspective need to be factored in. There’s a misconception that Salesforce ‘just works’.”


Machine Learning and Cognitive Computing

Many machine learning solutions have already been developed, and they are continually being improved. I spent some time at Microsoft Research doing some early work in Bayesian reasoning and machine learning. We built a solution for traffic modeling that was spun out as Microsoft Research’s first startup company, called INRIX, which now provides real-time and predicted traffic information around the world. I see three tiers of commercial engagement with these types of technologies. For one group of companies, such as Google, Amazon, Facebook, Microsoft, and Apple, these technologies are strategic, and their investment is a hundredfold or more than it would be from a more conventional business.


How Applications Takes Advantage of Holes in Legacy Network Security Solutions

These attacks may go undetected and this “noisy traffic” can significantly slow legitimate traffic or cause network outages. With legacy systems, mitigation requires labor-intensive manual intervention because there’s no automated method to handle the threat. If and when network security solutions do sense a NetFlow-based volumetric attack with an application component, manual mitigation can take 15 to 20 minutes. By the time the security team has developed a strategy, the attackers have likely morphed to new signatures.


The future of business intelligence as a service with GoodData and HP Vertica

The datasets themselves also tend to be born in the cloud. As I said, the types of applications that we're building typically focus on sales and marketing and social, and e-commerce related data, all of which are very, very popular, cloud-based data sources. And you can imagine they're growing like crazy.  We see a leaning in our customer base of integrating some on-premise information, typically from their legacy systems, and then marrying that up with the Salesforce, or the market data or social information that they want to integrate and build a full view of their customers -- or a full exposure of what their own applications are doing.



Quote for the day:

"There are only two kinds of [programming] languages: the ones people complain about and the ones nobody uses." -- Bjarne Stroustrup

September 18, 2015

Hadoop's a matter of innovation, not cost

Saving money? That gets just 17% of the votes, with an almost equal number (14%) citing the need to drive revenue, not save money, as their motivation to get smart with Hadoop. This is particularly interesting, since those companies with the most experience running Hadoop tend to use it for ETL functions (74%), followed by business intelligence (65%) and data science (62%). As mentioned above, in its early days, Hadoop was often dismissed as ETL for companies too cheap to pay for Informatica, IBM, or Oracle. In a shift, those that have yet to deploy Hadoop now look primarily for its value to transform BI (69%), not ETL (51%). Clearly, word is getting around that Hadoop, if ever it was a cheap way to do ETL, is much more than that.


It’s Not Big Data, It’s The Right Data 

Data aggregation and predictive intelligence at the scale needed for today’s enterprises requires use of machine learning for predictive modeling. Machine learning means training a machine to associate known patterns with known outcomes, and then when the machine sees new patterns it can predict new, unknown outcomes. Machine learning is really about adjusting the knobs of the predictive intelligence engine to get it closer to the right answer. Using machine learning, we’re able to now test whether or not specific actions will take place and to predict a company’s likelihood to buy and offer other data such as time to close or products reviewed. B2B marketing and sales teams can use these predictions to target the right accounts. Machine learning makes it possible to extract meaning from huge and chaotic piles of data.


A Beginner’s Guide to Embedded Data Analytics

This abridged guide will cover the essential things to look out for in selecting and purchasing embedded analytics software. The full guide is available here. Whether you’re producing automation software, SaaS products or cloud applications, it’s likely to assume you’re collecting a lot of data in the process. With an increasing number of companies and individuals understanding the value of using data to improve different aspects of their business, the ability to offer a powerful data analytics and BI feature within your existing application can give your product the competitive edge that it needs and greatly improve the value you offer to customers


Writing Libraries for the Modern Web

With this latest version of the SDK, we found ourselves special-casing even more code for specific platforms, and we came to a conclusion: just release different builds for different versions. Using Babel plugins, we inject variables into the code and use dead code elimination to remove disabled branches (take a look at the end of Storage.js for an example). Making a build-time split seemed less than ideal at first, but it allowed us to ensure that our developers got exactly the features they wanted, without having to rely on potentially flaky feature-detection code. With 1.6, the npm module provides three different packages: plain old 'parse' for browsers, 'parse/node' for Node.js, and'parse/react-native' for React Native Apps. This will let us add more platform-specific features down the road.


Grafters with a hint of genius: What makes a really great IT pro?

"Technical skills can be learned but attitude is an innate personal philosophy that drives enthusiasm, customer focus, problem solving and elements like team work, quality and innovative thinking," says Behenna. "The digital revolution - for want of a less hackneyed and overtraded phrase - depends, for its success, on the spark that begins with attitude then commingles with aptitude to deliver game-changing thinking, products and services." ... "You need people who are delighted to work for an organisation that has strived to create an environment that links individual ambition to the company's success," says Behenna. "No hyperbole, just grafters with a hint of genius. That's what I would want from IT professionals."


This European country is the center for FinTech startups

For many FinTech startups, operating in Switzerland makes a lot of sense. The nation boasts an incredibly stable economy, a strong reputation for innovation, and an emphasis on security and privacy. On top of that, the Bitcoin is a legitimate foreign currency there, meaning there is no legal uncertainty about using it within the country. In fact, the Swiss Financial Market Supervisory Authority (FINMA) authorized the Bitcoin stock exchange (ECUREX) in May, facilitating the exchange from Swiss Francs to Bitcoin. The new draft of the provision will address virtual currencies and go into effect at the beginning of 2016. According to Switzerland Global Enterprise, other advantages include the nation's liberal laws, loosely regulated labor market, high security, and excellent free-trade policies.


Rep. Hurd’s Hearing at UTSA to Focus on ‘State of the Cloud’

“It’s not quite clear how the cloud will evolve, there is a lot of R&D that needs to be done to make the cloud available to everyone,” Agrawal said in an interview. “The cloud is a market disrupter, as a big a disrupter as the personal computer was in the 1980s. “Whole business models will change because there will be much greater focus on data services,” Agrawal said. “Right now, the cloud is not technologically optimized for high performance computing, but eventually what runs on super computers today will run on the cloud. There is an enormous amount of software and hardware development to be done, and UTSA with its Open Cloud Institute and cybersecurity programs aims to be the university that will provide the smart workers the industry will desperately need. ...”


Adapt or die: Can your IT department survive the age of fast IT?

Business executives are increasingly moving to an IT environment that is no longer focused on large complex projects but is oriented towards shorter, more sustainable efforts to drive change and innovation. This is known as "Fast IT." The goal is to promote efficiency, agility and innovation to enable IT departments to stay ahead of - and help promote - the rapid pace of dynamic change. "To deploy Fast IT is to unify infrastructure to reduce network complexity and speed up service deployment," David Meads, Cisco Africa VP, explained in an article on ITWeb. "Fast IT has three streams: software and automation, a converged and consistent infrastructure, and a flexible consumption model which enables scaling in a modular way that allows rapid growth without compromising efficiency. The key principles of fast IT are 'simple, smart, and secure."


Big data projects gaining steam, but not due to the CIO

"People are becoming aware of the value of data, not just in IT but overall," Gartner analyst and report co-author Nick Heudecker, who conducted the research in June, told CIO.com. "They're creating data and using it as a competitive advantage." ... Increasingly, CFOs, CMOs, COO, and chief data officers are introducing such analytics projects at their organizations, as they endeavor to meet CEO mandates to learn more about customers, Heudecker and co-author Lisa Kart wrote in their report. In 2015, CIOs triggered 32 percent of the big data projects, with business unit heads kicking off 31 percent of the projects. That's a shift from 2014, when research suggested that CIOs initiated 37 percent of big data projects, compared to 25 percent of projects that were started by business line leaders.


Solving the Big Data “Abandonment” Problem

Given the strategic imperative from the c-suite to harness the power of big data, why do the majority of these projects fail? Gartner estimates the failure rate to be nearly 60 percent. Similarly, Capgemini finds that only 27 percent of executives believe big data projects succeed and of those only 8 percent are “very” successful. If adoption of big data is not the problem, what is? It seems that turning adoption into value for an organization remains elusive. Often, organizations fail to see justifiable ROI from their big data investments because no clear blueprint exists for how to take a project from inception to completion with delivering value in mind.



Quote for the day:

“The simple act of paying positive attention to people has a great deal to do with productivity.” -- Tom Peters

September 17, 2015

How to use big data to transform IT operations

Generally it’s more efficient and cost-effective to perform processing near where the data resides. We’ve seen large companies use cloud-based services for IT operations data. If the data itself originates in the same cloud, this approach is fine. Even data generated on-premises can be stored and analyzed in the cloud if it’s small enough. For large amounts of data generated outside the cloud, however, problems arise. For example, one organization had to purchase dedicated bandwidth just to upload the telemetry. Even then, there was so much data at times, the local forwarders would fall behind, and it would be hours before the data was available. In cases such as this one, it’s important to understand data gravity and process the data near where it’s generated.


It’s time to patch our human firewall

A recent security survey revealed that 31% of all information security incidents were employee–related. This statistic includes the nefarious actor, as well as the reckless and duped. Regardless, the fact remains that employees are a juicy attack vector for the miscreant, and, if the weakness comes in human form, it can render the technical controls in place moot. ... We need employees to have their awareness heightened to the threat environment so that an automatic ‘gut check’ kicks in whenever they’re talking about the business online. Sadly, it is far beyond the remit of this short piece to explore the best way to achieve this, but I will leave you with this final thought that I have again lifted from the survey, which nicely sums up where I wanted to go with this: “Another worrisome finding is a diminished commitment to employee training and awareness programmes.”


Taking the Long-view: The VR Future Starts in 2016

The development of this market, which is a parallel track to the development of this technology, will depend upon a clear narrative for consumers to understand. This is about more then the killer apps, or the best field of view. This is about grasping ahold of this incredible open hardware development phenomenon we’ve had the chance to experience these past few years and turning that into just the prologue for the immersive revolution to come. And I’m not just concerned about moms and dads making purchasing decisions for their families, I’m also concerned with tech savvy skeptics who think that VR is just the latest version of 3-D TVs. If we apply Hollywood blockbuster mentality to the product launches of the Rift or the Vive—really of any of the HMD’s—we’re almost guaranteeing a wave of negative press.


Who needs Windows 10 Pro: 5 reasons to upgrade

Windows 10 Professional doesn’t take anything away from Home users; it simply adds more sophisticated features. It’s a costly choice, though: $99 for a Windows 10 Pro Pack that takes you from a licensed copy of Windows 10 Home to the Professional version. This applies to Windows 7 Starter, Windows 7 Home Basic, Windows 7 Home Premium, or Windows 8.1 users, who are only eligible for Windows 10 Home. ... All of them have some relevance for power users and more traditional businesses alike. While there are dozens of differences (check our review of Windows 10 for the details), five key aspects of Windows 10 Professional will help you decide whether the upgrade is worth it for you.


Android Wear Now Works With Apple’s iOS

Android Wear is compatible with most iPhones (iPhone 5, 5c, 5s, 6, or 6 Plus running iOS 8.2+)Google’s decision is not surprising considering the ongoing “war” between iOS and Android, not to mention the potential value of user-generated data, but the move ultimately hurts iPhone owners who prefer Android Wear devices over Apple Watch. Reluctance to concede data is not something new especially in the digital health landscape. Fitbit, for example, has long refused to support HealthKit. Full HealthKit integration is at a level seen with third-party fitness devices and Apple’s own Watch product allows for cross-app data sharing, a feature important to information aggregation and a streamlined user experience.


Apple's secret NoSQL sauce includes a hefty dose of Cassandra

It's telling, as Sandeep Parikh hints, that Apple ran into enough limitations with traditional relational databases, including the likelihood that they "cost way too much to scale out," such that it actively uses Cassandra, MongoDB, and other NoSQL technologies. Heck, Apple even went so far as to buy the company behind FoundationDB, a NoSQL database. As my former MongoDB colleague (and Wall Street analyst) Peter Goldmacher stressed to me in an interview, "It is reasonable to wonder if Apple's software products would have even been possible without NoSQL technologies." Central among those, at perhaps double the adoption (very roughly extrapolating from job listings), is Cassandra. Most companies don't have Apple's scale, but for those that aspire to them,


Defining the ‘A’ in Agile Enterprise Architecture

Don’t be frightened by the word “chaos,” cautions Diginomica’s Charlie Bess. A more accurate description would be dynamic or agile architecture, akin to the more flexible side of Gartner’s “bimodal” approach that has traditional applications and services on a more clearly defined stack while emerging functions define their own requirements. In this scenario, the most important element is a single, overriding view of the entire system that allows the enterprise to leverage all resources for the benefit of decision-makers, not IT admins. An agile architecture is not to be confused with the Agile movement within the Enterprise Architecture field, says tech blogger Charles Betz on The Data Administration Newsletter. The movement consists of a number of software methodologies that have been devised under the precepts of the Agile Manifesto,


Skills Framework for TOGAF & SCOR Part 1 – TOGAF Framework Overview

TOGAF provides a skills framework that can assist in preparing role definitions and planning training. However, there are several ways that it could be expanded, and in this post I examine what they are. The TOGAF skills framework appears in chapter 52, the final chapter of TOGAF (this may be why so many people forget its existence). It defines roughly 75 skills, grouped into the headings of Generic Skills, Business Skills & Methods, Enterprise Architecture Skills, Program or Project Management Skills, IT General Knowledge Skills, Technical IT Skills, Legal Environment. These skills are then plotted against 9 specific roles


Leadership, Mentoring and Team Chemistry

What we cannot have is the same pace of change and chaos that is common in the work we do reflected in the teams themselves. High turnover, micromanaging, and a high tempo of change in the daily or weekly goals are each things that will kill a team. To counter this the leaders in each team who step-up to take on different roles need to provide stability. This include the official (tech leads, managers, and directors) and the unofficial (experienced engineers who’ve earned the respect of their peers) leaders. Teams only succeed in chaos when they’re founded on stability. Otherwise they’ve either just been lucky or they’re heading towards burn out.


Contractors Say Proposed Hack Reporting Rules Aren't Strict Enough

"We view the current draft version of the guidance as being too little, too late and too flexible," council president Stan Soloway said in comments dated Sept. 10. "This is exactly the interpretive, decentralized behavior that has produced the current state of network security vulnerabilities." Contractors in recent years have been hit by hacks that compromised federal employee retirement plan data, background check investigations and U.S. Transportation Command documents, to name a few.  Soloway said the new Office of Management and Budget draft guidance offers too little in the way of uniform terms and conditions, offering "only generalized statements with explicit authority for agencies to deviate from it almost at will.”



Quote for the day:

"The signs of outstanding leadership are found among the followers." -- Max DePree

September 16, 2015

Invisible revolution: How wearables are quietly invading the enterprise

The study, The State of Enterprise Wearable Adoption, focused on the IT or business decision makers in 201 companies with 500 to more than 5,000 employees, and from a range of industries. The industrial enterprise sector was the focus of the study, with government, non-profit, education, professional services, media, hospitality, health care and financial services industries excluded since those areas do not have a direct use for wearables relevant to the study. The 93% of companies interested in wearables are split across almost every industry included, with manufacturing and life sciences "very big" and transportation and retail smaller than anticipated, Ballard said.


5 Ways Big Data Is Making a Splash in the Insurance Industry

Leveraging Big Data insights is well known for its ability to provide quality prospects for businesses, but another lesser known feature is its ability to shed light on low quality prospects or frustrated clients. Advanced analytics tools allow insurers to target individuals who are apt to be a long term loyal customer, and also to weed out individuals who are a high risk of canceling coverage. Predictive analytics is used to track and reveal signal behaviors that indicate an impending cancellation. This allows insurance agents to reach out to unhappy consumers before their final decision has been made, and tailor opportunities to encourage them to stay with the company.


What's New in iOS 9: New SDK Frameworks

Although the new SDK does not introduce as many new or enhanced features as iOS 8, which included more than 4,000 new APIs, it does still provide a wealth of new functionality and enhancements. Along with the new SDK, iOS 9 is also marked by new developer tools to support some of its features, and new releases of Apple’s major programming languages, Swift and Objective-C. This series aims at introducing all that is essential for developers to know about building apps for the latest release of Apple’s mobile OS. It comprises five articles that will cover what’s new in iOS 9 SDK, new features in Swift, Objective-C, and developer tools, and Apple’s new bitcode.


The science of organizational transformations

The latest findings suggest that investing time and effort up front to design a transformation’s initiatives also matters. According to the new results, the most effective initiatives involve four key actions: role modeling, fostering understanding and conviction, reinforcing changes through formal mechanisms, and developing talent and skills. These actions are critical to shifting mind-sets and behaviors. But it’s not enough to design a portfolio of initiatives based on one, or even two, of these actions. When executives report that their companies used all four, the odds of a successful transformation are much higher than if just one were used. The process of howinitiatives are designed is critical too.


High-Potential Employees: 3 Ways to Get More From Your HIPO Program

CEB data show that HIPOs produce 91% more valuable work for the company and exert 21% more effort than non-HIPOs. Managers are right to worry about identifying them (only 1-in-7 high performing employees classify as HIPOs) and to worry twice as much about keeping hold of them, and developing them so that all that glittering potential is realized. And it’s not only their managers. A full 50% of HR professionals worry about their company’s HIPO program (the initiatives in place to identify, retain, and develop HIPOs). HR teams ask questions like, “My high-potential program is expensive – am I investing in the right people?”, “How should we prepare our HIPOs to take on more challenging senior roles in the future?” and, “Why is my high-potential program not working? People we thought of as high-potential are failing when placed into more senior roles.”


Cisco router break-ins bypass cyber defenses

Routers are attractive to hackers because they operate outside the perimeter of firewalls, anti-virus, behavioral detection software and other security tools that organizations use to safeguard data traffic. Until now, they were considered vulnerable to sustained denial-of-service attacks using barrages of millions of packets of data, but not outright takeover. "If you own (seize control of) the router, you own the data of all the companies and government organizations that sit behind that router," FireEye Chief Executive Dave DeWalt told Reuters of his company's discovery. "This is the ultimate spying tool, the ultimate corporate espionage tool, the ultimate cybercrime tool," DeWalt said.


Deception May Be the Best Way to Catch Cybercriminals

"You could do things like emulate an Apache server and make it look like Apache is running somewhere when it isn't," Pingree said. "Or you could run a real copy of Apache that's monitored." As soon as an attacker sends data to the honeypot, it issues an alert. The attacker will most likely start rummaging around, performing passive scans of hosts on the network. The beauty of a honeypot is, legitimate users know it is fake. So the only people accessing it are cybercriminals and hackers, meaning there are no false positives, there is no need to filter out the noise that occurs in most fraud-detection systems. "The biggest problem with security-transaction monitoring is you have to filter out what's good and what's bad," Pingree said. "But if it's a decoy, everyone that's hitting it is bad."


What’s Wrong with the Mainframe?

Despite its technical and economic superiority to distributed platforms, a surprising number of industry voices still contextualize the mainframe as a “legacy” platform from which enterprises need to migrate their core applications if they are to succeed in the digital economy. This makes no sense. First of all, why would any organization migrate its most critical applications from a supremely reliable, secure, scalable and secure platform to a relatively risky and expensive one? And why would any CIO allocate limited resources to a low- or negative-ROI migration project when so many other urgent imperatives clamor for his or her limited IT resources? The answer is that there is no reason. That’s why analysts like Gartner are reporting minimal migration activity—and why 88% of CIOs assert that their mainframes will run existing and even net new workloads for at least another decade.


Customer engagement takes a step forward with Microsoft Dynamics CRM 2016

For many of us, the concepts of customer engagement and customer resource management (CRM) are murky at best. We understand the general idea, and we appreciate the results when customers are happy and buying, but the mechanics of how those sales are accomplished are lost to us. And, for the most part, that is okay, because we don't really need to know how it all comes together. However, if you're a salesperson, the tools provided by applications like Microsoft Dynamics CRM are vital to your success. Without those tools, sales are not made, revenues are not realized, commissions are not calculated, and people don't earn a living. With that being said, for an enterprise of any size operating in today's highly competitive environment, a well-designed CRM solution is required for any sort of success.


Where’s The Money in Data? (Part I)

All data monetization efforts require that data is ultimately used to drive actions or decisions that solve a problem for an end consumer. This fundamental requirement is where most businesses fail when attempting to monetize data because the typical approach is “How can we sell data to increase our revenues?” which assumes that the value is the sale of the data itself. In order to successfully monetize data, organizations must flip this approach and start with the end in mind. The questions should be “What problem can our data solve?” and “How valuable would it be to the end consumer if these problems were solved?” It is important to note that “end consumer” does not always mean customer either. Monetized data solutions can be for internal end consumers as well.



Quote for the day:

"Cream always rises to the top...so do good leaders" -- John Paul Warren