Daily Tech Digest - January 03, 2017

How Advanced Analytics Can Shore Up Defenses Against Data Theft

One approach is to implement an unsupervised, machine learning protective shield that delivers a defense layer to fortify IT security across EHR platforms and other hospital IT systems. A self-learning system then would have the flexibility to cast a rapidly scalable safety net across an organization’s information ecosystem, distributed or centralized, local or global, cloud or on-premise. Whether data resides in a large health system or small chain of clinics, rogue users are identified instantly. By applying machine learning techniques across a diverse set of data sources, systems become increasingly intelligent by absorbing more relevant data. These systems can then help optimize the efficiency of hospital security personnel, enabling organizations to more effectively identify threats. 


5 ethics principles big data analysts must follow

"At this point in our history... we can process exabytes of data at lightning speed, which also means we have the potential to make bad decisions far more quickly, efficiently, and with far greater impact than we did in the past." Besides the potential for bad decisions, Etlinger believes that humans place too much faith in technology, including, for example, our blind acceptance of charts and graphs developed from big data analysis. As to what might be done to improve the situation, Etlinger and Jessica Groopman write in their Altimeter report The Trust Imperative: A Framework for Ethical Data Use (PDF) that businesses and organizations building and/or using big-data platforms need to start adhering to ethical principles. To incorporate ethics, Etlinger and Groopman suggest studying The Information Accountability Foundation's (IAF) paper A Unified Ethical Frame for Big Data Analysis, and paying particular attention to the following principles


10 roadmaps to IT career success

If you're considering a career in IT -- or looking to make a career change -- there's no better time than now. With salaries well above average and companies grappling with a talent shortage, you'll be well-compensated and your skills will be in high demand for years to come. Kristine Spence is a digital marketing pioneer whose career has undergone just as much of a digital transformation as the IT industry. Here, she talks about what it takes to be an innovator in the digital marketing arena. ... As organizations struggle to make sense of increasingly large amounts of customer and industry data, data scientists are becoming a must-have role for any IT department. Two data scientists for Kronos explain what it takes to succeed in one of the sexiest careers in IT today.


How technology will transform banking in 2017

Service providers are keen to capitalise on interest in the technology, and are quickly positioning themselves to advise customers that are keen to kick off pilot projects. This has lead to the likes of Capgemini and CGI snapping up blockchain expertise to build out advisory teams. Peter Roe, research director at TechMarketView, said that the blockchain ecosystem will continue to mature next year, with collaboration between smaller fintech startups and better-funded, more established vendors. “Throughout 2017, we should see further major changes to the Blockchain landscape and the emergence of some key players,” he wrote in a blog post. “Although the widespread use of Blockchain is still some way off (not helped by understandable caution in the regulator community), we can still expect plenty of activity.”


Healthcare organizations lag in digital marketing for cybersecurity strategies, study finds

Conceptually, healthcare is pursuing some advanced ideas for marketing, yet the industry’s infrastructure is not ready for many of them, Klein said. For instance, there is a lot of interest among marketing executives to upgrade their organizations’ virtual front door – the website – yet only 46 percent of respondents said their organization provides proper funding for it. And while the majority believe social media is a valuable forum, six out of 10 organizations block employees from using it, he said. The infrastructure and today’s crop of modern digital tools on top of it are an increasingly important element within not just marketing but also cybersecurity strategies. “There must be more attention placed on cybersecurity,” Klein said. “It’s scary out there and it has only begun.”


'Malicious cyber activity' has happened in previous US elections, Obama says

It's still unclear what malicious cyber activity was related to previous elections, and whether Russia was also involved in that activity. But a joint analysis report from the FBI and the U.S. Department of Homeland Security said that the 2016 election activity was part of a decadelong campaign targeting government organizations, critical infrastructure entities, think tanks, universities, political organizations and corporations. The report released on Thursday details two separate Russian groups that intruded on a U.S. political party, one in summer 2015, and a second in spring 2016. Both groups use targeted "phishing" emails and camouflaged their tracks, Thursday's report said. A third attack, likely tied to Russia, was launched in November, just days after the 2016 election, the report said.


Growing the Internet of Things, part 5: Security

Ease of Use is also often a tradeoff with security. Consumers like the simplicity of new keyless entry systems on cars. When you approach the car, it unlocks, and you simply push the start button and drive away. No need to search for keys in your purse or briefcase. However, this consumer ease of use can provide a means for someone to steal the car if they either amplify the keyfob signal when you are away from the car, or if they can hack the security codes in the keyfob itself. Security can also impact Interoperability. If I build a door lock using the same technology and protocols as another connected device, but I require use of an application key and another device does not, we will not interoperate. Security has also been viewed as an interoperability problem because it has not been turned on in devices. 


A potentially fatal blow against patent trolls

The case at issue is Gust vs. Alphacap Ventures and Richard Juarez (some early rulings go into extensive background), and last month’s final ruling came from U.S. District Court Judge Denise Cote. Cote found that patent troll Alphacap had pursued a case against Gust, despite the U.S. Supreme Court ruling that made it clear it couldn’t succeed legally.  “It is highly, highly, highly unusual for counsel to be held directly responsible for these fees,” said Lori Smith, an attorney with the White and Williams law firm that represented Gust, an internet crowdfunding company. “I think it is going to have a significant chilling effect on patent troll litigation. You’re going to see law firms thinking twice before they take on clearly questionable patent litigation.”


Why the earliest open source licenses are still the most relevant

In fact, if we look at how open source licensing has evolved over the last two decades, there has been a dramatic shift away from restrictive licenses like the GPL and toward permissive licenses, which today account for well over 50% of all open source code, while restrictive GPL-style licenses have dwindled to just a third of all code, a percentage that keeps shrinking every year. This trend is particularly pronounced among the GitHub generation, which often hasn't licensed its code at all. All of which brings us back to where we began in open source licensing. We've gone through a period of time when we thought we needed purpose-built licenses for individual projects, but we didn't. We've also thought we needed ever more restrictive ways to protect user freedom but, again, we haven't.


Nine Ways to Protect an Enterprise Against Ransomware

Ransomware infiltrations in enterprises increased by 35 percent in 2016, according to consensus of security industry analysts and vendors, including Symantec. But even more alarming is the recent rise in its sophistication and distribution. Ransomware is a type of malware that prevents or limits users from accessing their system, either by locking the system's screen or by locking the users' files unless a ransom is paid. It can bring your business to a halt and cause significant financial damage. Unlike the stealthier advanced attacks that can stay undetected on corporate network for months, the impact of ransomware is immediate and intrusive. Cyber attackers don't need a lot of money, resources or technical sophistication to use ransomware. Businesses are increasingly concerned about monetary damage, business downtime and other effects of ransomware.



Quote for the day:



"It takes ten times as long to put yourself back together as it does to fall apart." -- Suzanne Collins

Daily Tech Digest - January 02, 2017

Cognitive on Cloud

Referred to as “Cognitive on cloud”, this model delivers cognitive services running in the cloud that are consumable via representational state transfer (REST) APIs. These services are available as part of platform-as-a-service (PaaS) offerings such as Bluemix and can be easily bound to an application while coding. Using this approach, cognitive analytics such as voice (tone analyzer, speech-to-text) and video (face detection, visual recognition) capabilities enables quick analysis of petabytes of unstructured data. Developing cognitive applications to run on mobile devices has provided new insights which help organizations create totally new revenue streams. When selecting a cloud service provider however cognitive on cloud ROI requires more than just a total cost of ownership comparison. In addition to this basic analysis, an organization must consider which cloud is cognitive enabled at the Platform-as-a-Service (PaaS) layer.


High versus low-level data science

Access to highly granular (low-level) data was not easy to get, and dashboard summaries, carefully selected and crafted, were sufficient to detect and address the issue with a one-week turnaround, doing a number of tests described in the next section. More specifically, we used the Google Analytic dashboard. We did not access granular metrics such as IP address, detailed log-file transactions, or summary statistics broken down by user agent / referral combinations (not available from the dashboard). But we did use session duration, number of pages, and conversions, per day per referral, probing the summary data sometimes 2-3 times per day to check the results of a number of tests and fine-tuning, in short to check and quantify impact on performance. Performance here is measured as the number of real (not bogus) conversions per click, or conversion rate.


IT pro's revitalization guide 2017

IT pro's 2017 revitalization guide Before 2017 comes at us hard, take a moment to restock your your intellectual reserves with our most insightful tech-management articles and videos. No matter how long you've been in IT, it's always a good idea to pause periodically and take stock of your professional and personal progress. Why not take a few moments to read through the best of Computerworld's management and career coverage? Scroll down to browse the complete list or click a link to skip directly to your chosen topic. ... Many IT professionals say they would go all-out to land the best jobs, with the best benefits at the best companies. All it takes is up-to-the-minute skills and a whole lot of drive. ... You’re killing it at work, but does anyone notice? A large percentage of IT professionals say the answer is no.


4 information security threats that will dominate 2017

"The pace and scale of information security threats continues to accelerate, endangering the integrity and reputation of trusted organizations," Durbin says. "In 2017, we will see increased sophistication in the threat landscape with threats being tailored to their target's weak spots or threats mutating to take account of defenses that have been put in place. Cyberspace is the land of opportunity for hacktivists, terrorists and criminals motivated to wreak havoc, commit fraud, steal information or take down corporations and governments. The solution is to prepare for the unknown with an informed threat outlook. Better preparation will provide organizations of all sizes with the flexibility to withstand unexpected, high-impact security events." The top four threats identified by the ISF are not mutually exclusive. They can combine to create even greater threat profiles.


Artificial intelligence takes on machine reading

Artificial intelligence (AI) made incredible strides in 2016, and the growth appears set to accelerate as we enter the New Year. A team of Microsoft researchers has released a dataset of 100,000 questions and answers that other AI researchers can use – for free – in their quest to create systems that can read and answer questions as well as a human. The MS MARCO dataset is based on anonymized real-world data from Bing and Cortana queries and is part of an attempt to spur the breakthroughs in machine reading that are already happening in image and speech recognition. The move is also aimed at facilitating advances toward “artificial general intelligence,” or machines that can think like humans – and can read and understand a document as well as a person.


The First Quantum Revolution: Foundational information for the enterprise CTO

Quantum physics helped us understand the periodic table, chemical interactions, and electronic wave functions that underpin the electronic semiconductor physics. In fact, there are many devices available today which are fundamentally reliant on our understanding the effects of quantum mechanics. These include the transistor, lasers, GPS, semi-conductor devices and MRI imagers. These devices are often referred to as belonging to the 'first quantum revolution’. What’s amazing is that within one silicon chip there are about 3 billion transistors, enabled by the progress of this first quantum revolution. And they all have to work reliably so that your computer, your mobile phone or whatever you have actually works. Now that’s quite amazing. Just think about that now. If you look around you now, we all carry around our personal electronics.


Hands On: DELL Twists The XPS 13 Into a 2-In-1

Dell claims the battery life of the XPS 13 2-in-1 ranges from nine to 15 hours, depending on how you use it. The battery life goes up if you're doing basic productivity work and declines to around nine hours if you are watching Netflix movies. The XPS 13 2-in-1 is a step down in performance compared to the XPS 13 laptop, but the decline is not visible when running basic applications or graphics. The device has a 7th Generation Intel Core i5-7Y54 or Core i7-7Y75 processor, which aren't as speedy as the mainstream Kaby Lake-based Core i3, i5, and i7 processors offered in the XPS 13 laptop. An Intel integrated GPU can support 4K graphics play-back on external displays. Dell went with the Y-series Kaby Lake chips so the XPS 13 2-in-1 can provide long battery life, compared to tablets today.


Privacy is still alive and kicking in the digital age

With the current digital infrastructure, we are heading in the wrong direction: Individuals are becoming more and more transparent, open to different types of control, manipulation and discrimination, while the powerful — government, industry and organizations — are more and more closed off. Freedom, individual independence and democracy are fundamental reasons why the individual right to privacy is something we should all care about. Privacy is a universal human right penned in international conventions, declarations and charters that were formalized at a time in history when private life was the default. There were clear lines and limits between private homes and public streets and buildings, between a private person and the public authorities and spaces. It was the letter in the sealed envelope.


Hackers will grow increasingly bold in 2017

Nothing is safe. Not your email, your personal information, your photos, your files. If it’s stored online, it’s theoretically accessible to anyone with the skills and wherewithal to grab it. According to the Identity Theft Resource Center, nearly 900 million records might have been accessed in almost 7,000 known data breaches since 2005. The actual number of breaches is undoubtedly higher because not all security lapses are publicized. A few weeks ago, Yahoo reported what is believed to be the single largest security breach ever — 1 billion user accounts potentially accessed in August 2013. Yahoo said it only discovered the incident recently, which does little to ease concerns. The attack apparently was unrelated to a separate breach in 2014 involving 500 million accounts, which Yahoo revealed in September. The company blamed that one on an unnamed foreign government.


Mitigating internal risk: Three steps to educate employees

When employees first start it’s important to give them a list of the top 10 rules they should follow regarding IT practices. If you know the rules that are violated the most, it’s suggested that those should make the top of your list. If you don’t then a good way to find out is to use monitoring techniques that will help you to collect this data. There’s a high chance you’ll be surprised by the type of rules people violate. Some examples of no-no’s can include attaching company files to personal e-mails, putting data on non-encrypted USBs, uploading files to cloud drives etc. Yearly training and reminding sessions should also be implemented as a part of company strategy. One of the most effective tactics is to inform users that they are violating policies while they’re attempting to take the action.



Quote for the day:


"A clear rejection is always better than a fake promise. Move on, next "-- @stephenodonnell


Daily Tech Digest - January 01, 2017

7 IT Recruiting Predictions For 2017

In 2016, recruiters grappled with an evolving job market, an incredibly competitive hiring landscape, a shortage of IT talent and sky-high salaries for in-demand roles. Those trends are likely to continue into 2017 as recruiters continue to adapt to the this high-demand, low supply hiring landscape, says Dave Morgan ... "We're very optimistic about what 2017 will hold. We don't see the IT market slowing down at all -- we saw a slight tick downward in the fall, but that demand has picked back up along with the urgency from clients around that demand," Morgan says. The three hottest areas of demand are around security, big data and cloud technologies, Morgan says, as incidents like December 2016's Yahoo breach dominate headlines, organizations struggle to manage and make sense of a tsunami of data and leverage the cloud for more efficient, cost-effective computing power.


IoT, mobility, big data, analytics and imaging intelligence to impact healthcare in 2017

The next generation hospital management system is a long term transformation plan for a three years’ horizon. ... But we are trying to see how we can stage it into two phases, so the phase one can be done by 2017 end and second phase by 2018. So we are trying to make sure we stay focused because beyond three years, you kind of lose oversight on it, then the project becomes really unviable. That’s the first priority we are holding to ourselves. On the cyber security side with the recent ransomware kind of news coming in, where patient records have been attacked by hackers and rasonware, etc., and since we are also moving towards web managing mode with payment gateways for websites and patient related portal which will have patients medical records, hence we thought that we should be upfront from cyber security stand point rather than the post-mortem effect. So that is becoming core in our focus area.


AngularJS vs. React: Two JavaScript Technologies & How to Use Them

React shines when you have lots of dynamic content changing within the view. Most client-side solutions on the web today struggle with rendering large lists of items within a single view. This “struggle” may be on the order of milliseconds, but in this increasingly digital world, a half a second delay is all it takes to kill your user experience. It’s why sites that have a lot of dynamic, constantly changing, data-intensive content like Instagram or Facebook choose to power their applications with React. As a library, you can also use React as the view component of AngularJS or other frameworks, because it does not tie you to a specific technology stack. That said, there’s a quickly growing community and a number of existing libraries and add-ons that can help you build an app from scratch.


Big Data, Big Self-Service

Data self-service became much more prevalent. It is not entirely trivial to organize. Best practices demand that effective access management security, and where necessary, encryption, is in place. There may also be a need for metadata capture software and data cleansing software. However, the pay-off is significant. The main dynamic of this is that the user no longer needs to go cap-in-hand to some IT developer to get access to data. In most organizations, there are limits to what can be held in a data warehouse and there may even be onerous procedures for getting at that data. To add new data sources to the data warehouse would often be prohibitive. The difference with a data lake can be startling. The data lake is, or should be, a single staging area for new data within the organization. It is extensible.


Information architecture: The key to governance, integration and automation

To develop a successful information architecture and meaningful insights, we need to enforce collaboration across business units, IT, the CDO office and other parts of the organization. And perhaps more importantly, we need to change the culture to get people thinking of how new technologies help eliminate all the barriers and create an environment in which everything is automated and transparent. Thinking about information taxonomy and classification isn’t necessary. Tools are just the tools, and we will continue to live in the past without proper collaboration, information sharing, knowledge base building and adoption of a new way of thinking about information. Technology is enablement; people need to understand, change the processes and do so using technology’s help.


Want to make better decisions? Break down the wall between data and IT

There is a lot of hype around the deficit of data scientists for hire, but I believe that you do not need an army of data scientists to make meaningful discoveries. With the tools and systems available today, it is possible for even one or two talented, motivated data scientists to create game-changing innovation. The key is to hire carefully, looking for strong training in quantitative disciplines (pick your favorite, it really does not matter), allied with the mindset of a restless tinkerer.  As a leader, I try to cultivate growth, autonomy, and teamwork throughout the company. This allows the company and data team to attract talent that wants to work with us and who has the same goals in mind. As a company, we aren’t just looking for people who have a degree in analytics or experience in the field. In fact, we have over 30 different graduate degrees on our team.


Using data science for predictive maintenance

Early identification of these potential issues helps organizations deploy maintenance team more cost effectively and maximize parts/equipment up-time. All the critical factors that help to predict failure, may be deeply buried in structured data like equipment year, make, model, warranty details etc and unstructured data covering millions of log entries, sensor data, error messages, odometer reading, speed, engine temperature, engine torque, acceleration and repair & maintenance reports. Predictive maintenance, a technique to predict when an in-service machine will fail so that maintenance can be planned in advance, encompasses failure prediction, failure diagnosis, failure type classification, and recommendation of maintenance actions after failure.


Ooutsourcing Trends To Watch in 2017

This year, we saw outsourcing integration challenges multiply, production workloads and enterprise systems hit the cloud, and security hit the top of the agenda. So what’s ahead for 2017? Uncertainty for one thing. Industry watchers expect a number of shifts in the IT and business process services space — not least of which will be the initiation of more flexible outsourcing terms as the world watches and waits to see what happens once president elect Donald Trump takes office and Brexit takes hold. We also expect to witness maturation in cloud computing, robotic process automation (RPA), and cognitive capabilities while entities like the call center and business models based solely on labor arbitrage fade into history.


How to Use AOP in C# with NConcern .NET

Most AOP frameworks require compromises due to technical limitations (changes needed in the source code, changes in the compilation or deployment process). Few of them are simple to handle and the coupling with the framework is often too strong. This is one of the reasons why too few people are interested in aspect-oriented programming. However, the application of the concepts of aspect-oriented programming is very simple provided they are well understood and have the right tools. This is why I would like to share with you a basic AOP scenario using NConcern .NET, a dedicated open source framework (under MIT licence)


Java Performance Mythbusters

The JVM can be more aggressive in its optimizations through its knowledge of exactly which classes are loaded at any point in time. Even the problem of application warmup can be alleviated with technologies like Azul’s Zing ReadyNow!, which stores a profile of an application during execution. At startup, the profile can be used to substantially reduce the time required to analyze and compile frequently used sections of code. The problem is that some people still believe Java works the way it did twenty years ago when looking at Java performance. One of my colleagues, when I was at Sun, had an excellent way to illustrate this. When talking to people with Java performance problems his approach was something like this



Quote for the day:


“The secret to a rich life is to have more beginnings than endings.” -- Dave Weinbaum


Daily Tech Digest - December 31, 2016

Who controls the marketing tech stack in 2017: The CIO or CMO?

Perhaps the most significant trend is that CIOs are facing ever-tougher competition today for their internal customers. In an earlier era, one simply had to go through the IT department to get the technology one needed that would actually work with the existing infrastructure, technology standards, and enterprise architecture. No longer. The cloud and especially software-as-a-service (SaaS), has changed this equation forever. Every IT department is now faced with the most formidable possible day-to-day competitor: The combined services inventory of the entire SaaS industry, along with all the available mobile and enterprise app stores. These new sources of marketing IT collectively represent to the CMO ... a genuine explosion of new options, going from a mere 150 business-ready marketing apps in 2011 to over an astonishing 3,500 in 2016.


Blockchain technologies entered the trough of disillusionment in 2016

More importantly, digital assets are designed for today’s era of digital information, and the underlying blockchain technology has the power to completely overhaul the current financial system, making it more efficient, transparent and accessible. When taking a look at the industry over the last 12 months, the first quarter of this year saw total investment in blockchain startups topping a staggering $1 billion. But that investment is starting to pull back. In the first nine months of 2016, blockchain startups raised $429 million across 92 equity financings. Compared to the same period in 2015, the deal activity fell this year by 16 percent, and funding was down by 7 percent. And we are already seeing some of this reticence play out in the market. For example, just last week, Circle announced they were pivoting away from the buying and selling of bitcoin through their wallet app.


10 Things InfoSec Pros Can Celebrate About 2016

According to an HP study earlier this year, the Android operating system is the second-most heavily targeted operating system with the second-most vulnerabilities, after Windows. Fortunately, in July, Google announced new measures to increase memory-level protections and reduce the overall attack surface of Android’s Linux kernel. ... It's no secret that breaches cost companies a pretty penny, but so often the costs are residual -- lost business, breach notifications, fines for late breach notifications -- but not punishments for the bad security itself. This year, however, some companies felt an extra sting for failing to protect their customers in the first place. ... Congratulate the San Francisco Municipal Transit Agency (SFMTA) for sticking up to ransomware operators, despite most likely losing money in the process. Instead of paying their $73,000 ransom demands, SFMTA gave passengers free rides at affected stations for days while they dealt with the situation.


IT mindset: CIOs, tech departments work to overcome the 'IKEA effect'

That's easier said than done, of course. Getting themselves and their IT departments to adopt those ideas requires a shift in IT mindset, which, in turn, calls for a fair bit of psychology. Interviews with CIOs and organizational experts, however, suggest that change is indeed possible -- with a regimen that includes rethinking cherished beliefs and working to overcome barriers that impede a new work culture. Atilla Tinic, CIO at Level 3 Communications, has an educational background in IT, with a focus on software development, economics and psychology. He says, somewhat facetiously, that the last degree sometimes proves the most valuable. "It might be the psychology that helps me the most at times," he said. "Change management is one of the hardest things [and] I think the IT transition might be one of the most challenging."


Citizen Data Scientist, Jumbo Shrimp, and Other Descriptions That Make No Sense

Data scientist often frames a question into its business value and data context. It makes question more readable. Those questions could go in several different levels so rather than asking it all in one, the question itself could be break down into smaller business questions. There are methods to further reduce complexity by dimension reduction, variable decomposition or principle component analysis, etc. There are many analytic algorithm and modeling options. Choosing a proper algorithm could be a challenge. The alternatives are to run large number of algorithms to search. With that, large number of results will need to be analyzed. Interpreting results is a complex task. By running a large number of algorithms, the results tend to partial converge or partial conflicting. The conflict resolution and the weights of the variables require further modeling or ensemble.


Expect Deeper and Cheaper Machine Learning

“Everybody is doing deep learning today,” says William Dally, who leads the Concurrent VLSI Architecture group at Stanford and is also chief scientist for Nvidia. And for that, he says, perhaps not surprisingly given his position, “GPUs are close to being as good as you can get.” Dally explains that there are three separate realms to consider. The first is what he calls “training in the data center.” He’s referring to the first step for any deep-learning system: adjusting perhaps many millions of connections between neurons so that the network can carry out its assigned task. In building hardware for that, a company called Nervana Systems, which was recently acquired by Intel, has been leading the charge. According to Scott Leishman, a computer scientist at Nervana, the Nervana Engine, an ASIC deep-learning accelerator, will go into production in early to mid-2017.


How AI is Revolutionizing Business Models

Most of the considerations made so far were either general or specific to big players, but we did not focus on different startup business models. An early stage company has to face a variety of challenges to succeed, and usually, they might be financial challenges, commercial problems, or operational issues. AI sector is very specific with respect to each of them: from a financial point of view, the main problem regards the absence of several specialized investors that could really increase the value of a company with more than mere money. The commercial issues concern instead the difficulties in identifying target customers and trying head around the open source model. The products are highly new and not always understood, and there might be more profitable ways to release them.


How Will Big Data Evolve in the Year Ahead?

"Near-term opportunities for cognitive systems are in industries such as banking, securities and investments, and manufacturing," IDC program director Jessica Goepfert said in an October statement about a report on global cognitive computing and AI spending. "In these segments, we find a wealth of unstructured data, a desire to harness insights from this information, and an openness to innovative technologies." In its report, IDC predicted that healthcare and manufacturing will be the biggest drivers of cognitive computing and AI revenues between now and 2020, while the education sector will also invest heavily in such technologies. Earlier this month, Tony Baer, principal analyst in information management at Ovum, predicted that machine learning in particular "will be the biggest disruptor for big data analytics in 2017." That trend will also make it increasingly important for organizations to treat data science as a "team sport," he added.


What a Game-Changing Smartphone Would Need to Do Differently

The smartphone has become a commodity to us. You don’t need to own the latest and most expensive model of all, but you are very likely to use a smartphone. There is even a small group that owns and uses a variety of smartphones. But don’t you feel that product innovation has stalled for a while? What was really new in recent years? Bigger display, smaller frame, better camera, stereo speakers, waterproof casings? All really nice but did they really change the game? No. There has not been a disruptive innovation in the mobility area since Steve Jobs was around. Not that he hoarded all the ideas and was the only thinker of our time, but he was driving disruption and therefore he was also pushing the competing manufacturers to be innovative.


How Chatbots Talk Up IoT Measures in Analytics

Bot adoption is a confluence of two key technological and marketplace trends over the last few years. First, bots reflect the popularity of instant message platforms, a derivative of social media. Instant Messaging (IM) platforms include Facebook Messenger, Slack, WhatsApp, and Telegram. People have been steadily using these platforms. Back in 2015 Business Insider declared that IM platforms have more active users than any other internet application including social networks and email applications. Many bots are designed to complement services with these applications, in the same vein as being an extension for browser or an API for software. And many of the users access these applications on mobile devices, giving bot makers a dedicated avenue to connect with customers.



Quote for the day:



"Don't ever be afraid to admit you were wrong. It's like saying you're wiser today than you were yesterday." -- Robert Newell


Daily Tech Digest - December 30, 2016

3 reasons why #FinTech may decline in 2017

In my humble opinion FinTech is addressing a customer experience driven demand strongly supported by technical evolution such as mobile, cloud, big data, etc… Has the disintermediation of banks started? While the rest of the world is changing rapidly, banks are still struggling to survive the regulatory tsunami which has not ended yet. And FinTech became a real hype strongly attracting millennials to become part of it. Hipsters created start-ups to change the banking landscape. Venture Capitalists supported this evolution and heavily invested in the first waves of disruption. Isn't #FinTech disillusioned and will this not lead to a decline in 2017? And will enlightenment come from new kids on the block? Here are 3 reasons why "hashtag"FinTech may decline in 2017


Everything You Need to Know About Gene Therapy’s Most Promising Year

It sounds complicated, and it is. Gene therapy was first tested in a person in 1990, but scary side effects turned the gene-fix idea into a scientific backwater. And the field hasn’t conquered all its problems. We started the year with the tale of Glybera, heralded as the first gene treatment ever approved that sought to correct an inherited gene error. Yet the drug came with an eye-popping price tag of $1 million and, dogged by questions over how well it works, has turned into a medical and commercial flop. But scientists haven’t given up. And neither have biotech entrepreneurs. They’re closer than ever to proving that gene therapy is for real. Here’s what happened in 2016.


What's your CIO legacy? Deloitte has some ideas for you

Last year for its CIO Legacy Project, Deloitte researchers wanted to pinpoint the methods, tools and competencies CIOs used to create value for their organizations. "To a little bit of our surprise, there wasn't a lot of difference across industries and geographies," Kark said. Instead, they uncovered three roles that CIOs take on to do this -- the trusted operator is focused on operational excellence; the change instigator is focused on business transformation; the business co-creator is focused on revenue and growth. This year, researchers wanted to know what characteristics are associated with each of the three "pattern types," be it personality, leadership skills, working style or IT capabilities. They hypothesized, for example, that trusted operators would be more risk-averse and less outgoing than change instigators and business co-creators.


Test Systems — The Soft Underbelly of System Security

If you improve the security of your test systems, you can also help your Development and QA teams by providing a safe, well-monitored environment in which you can test and deploy updated applications, test applications to recently released security patches, and improve the overall understanding of the way your projects provide access to the outside world. In other words, improved security improves the QA ability of your systems by providing another valuable perspective on the development and execution of your systems. Increasing the isolation of a system should always lead to increased security, knowledge, and testability of that system — goals that will help to unite the QA/SRE, Operations, and Security teams. Given the importance of security, then, it is critical that you follow defined policies and procedures to ensure that your test systems are as secure as possible and don’t expose existing vulnerabilities or create new ones.


Automation, Analytics and APIs: How NFV is Driving Service Assurance Innovation

Investing in new-generation analytical capabilities that are optimized for today’s hybrid NFV environments will help CSPs to better realize the full value of their NFV investments. An example of such advancement is utilizing natural-language processing algorithms for eliminating data normalization and clean-up requirements in alarm data, and using machine-learning techniques to support advanced correlation and RCA, without the need to augment alarm data with network topology and reference information, and so on. This typically becomes an inhibitor to an analytics project’s success, as the data often isn’t readily available or requires a significant integration effort. Our recent efforts in this area have surpassed even our own expectations.


Why Employees Could Be the Biggest Threat to Healthcare Data Security

Businesses across industries are also incorporating bring your own devices (BYOD) into their corporate IT cultures. By doing so, employees are now able to work on the device or devices that they are comfortable using, while saving costs that would accompany providing work-sponsored devices. However, because of the ease of onboarding mobile device, including connected wearables, it has now become commonplace at some organizations for unauthorized devices to find a way to connect to the network. Sriram Bharadwaj, director of information services at the University of California (UC) Irvine Health in Orange, Calif., has said, "In the old days, you accessed electronic health records from a PC at your desk.


5 ways healthcare providers can transform chaos into order

The easy way out — investing billions of dollars to expand facilities, extend operating hours and add staff — seems out of reach for most healthcare providers and looks more like a bandage than a cure. In the past few years, we have worked with a number of large healthcare organizations to address this problem. Drawing upon our decades-long experience helping Fortune 500 companies make operational improvements, and by employing lean principles and predictive analytics, we set out to find the root cause of this operational paradox: Vital resources are often both overbooked and underutilized on the same day. Here are five practical approaches to improving patient access, decrease wait times and reduce healthcare delivery costs without embarking on multi-year, budget-stretching mega projects.


I, Robot: How AI is redefining the use of data in healthcare

Facing up to such a huge challenge, researchers are turning to the technological advancements that will allow them to bolster their analytical abilities, both in terms of handling volume and increasing accuracy. Acknowledging this opportunity, technology firms are more than happy to respond to the call for support. McKinsey's analysis of this space has recently suggested that the use of data handling strategies for pharmaceutical research could create up to $100bn in cost savings per year, and that is just in the US. The global potential for efficiency savings is huge. Today the data problem for pharmaceutical firms is not just the volume but also its organisation within their databases. Following years of merger and acquisition activity, different research departments often work in silos, cut off from sharing information effectively between them.


5 signs we're finally getting our act together on security

Security experts have been warning for some time about the millions of devices that are connected to the internet without even the most basic security features, so the Mirai attack shouldn’t have been a surprise. And with Mirai’s source code publicly available, it is safe to assume there are other IoT botnets waiting in the shadows to strike. With all these devices connecting to the internet, we are ripe for an IoT worm, said Lamar Bailey, senior director of security research and development at Tripwire. Fixing the problem will require a lot of coordination, creativity, and persistence, but perhaps people are actually seeing the risks. The silver lining is that the Mirai attack was a “fairly cheap lesson in what a compromised IoT [threat] would look like while there’s still time to do something about it,” said Geoff Webb, vice president of solution strategy at Micro Focus.


Will networks and security converge in 2017?

Service chaining provides a framework to address the basic security issues, but enterprises still face the challenge of creating instances of that service across hundreds of application, user types and sites. A high-degree of policy integration and automation is needed to make that enterprise WAN management feasible. SD-WAN and security parameters should ideally be defined and delivered through one interface. The necessary tools should then be able to push those policies out across the infrastructure. Many leading SD-WAN providers offer those capabilities, but even then the networking and security analytics remain separate. There is no way, for example, to minimize security alerts storms for security operations personnel by correlating security and networking information.



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"The very exercise of leadership fosters capacity for it." -- Cyril Falls