Daily Tech Digest - February 02, 2017

These are the threats that keep me awake at night

The concept of threat intelligence is sound: Use another organization’s discoveries about potential threats to augment your own security. The problem is that the quality of threat intelligence data is highly variable. Those who rely on it without the proper vetting may make matters worse and not better. As an example, many organizations applied the indicators of compromise provided by the U.S. government as part of the Grizzly Steppe investigation to their own monitoring systems. Burlington Electric was one such organization, and it quickly identified a PC with activity matching information in the government alert, causing a media storm related to the U.S. electrical grid being "hacked." Sadly, some of the information in the alert turned out to be inaccurate, and much time was expended investigating an employee who had innocently checked his Yahoo email.


Data from pacemaker used to arrest man for arson, insurance fraud

A man has been charged for arson and fraud after law enforcement used data gleaned from his pacemaker to uncover an alleged plot to cheat his insurance company. ... Suspicions were aroused when Compton's statements did not seem to match up with how the blaze begun, especially after he told a 911 dispatcher that after spotting the fire, he packed a number of suitcases and threw them out of his bedroom window after breaking the glass with a walking stick. Compton has medical conditions which include an artificial heart linked to an external pump. According to court documents, a cardiologist said that "it is highly improbable Mr. Compton would have been able to collect, pack and remove the number of items from the house, exit his bedroom window and carry numerous large and heavy items to the front of his residence during the short period of time he has indicated due to his medical conditions."


How Machine Learning Can Improve Healthcare Cybersecurity

Currently SIEM technology is considered one of the most advanced types of infrastructure cybersecurity. SIEM aggregates event data from all solutions across an IT infrastructure and applies security analytics in real-time for the earliest possible security threat detection. Introducing machine learning into enterprise cybersecurity will separate and integrate SIEM log-based methods with other UEBA. Machine learning will allow this process to be unsupervised, eliminating breaches caused by human error. Machine learning has proved useful in healthcare analytics, with providers and vendors looking to apply the technology to security solutions to protect clinical health data store on-premise and in the cloud. ... "This radical transformation is already underway and is occurring as a response to the increasingly menacing nature of unknown threats and multiplicity of threat agents," Pavlakis concluded.


Why You’re Doing Cybersecurity Risk Measurement Wrong

Broadly speaking, cybersecurity is risk identification and risk mitigation in the cyber domain. Measuring risk quantitatively is good because it helps security teams measure their capabilities somewhat objectively, which helps everyone make better decisions. For example, when deciding whether to upgrade all your firewalls or invest in organization-wide two-factor authentication, that decision should be based, in part, on what risk exists now and what risk will be after you implement a change. It may surprise you but people are generally pretty bad at this, resulting in things like transportation disasters, major breaches, economic bubbles, wars, and bad movies. ... Here’s where it gets more complicated: evaluating current and future risk requires accounting for people … and people make everything harder. A good risk analysis should account for risky behaviors by users, administrators, and security personnel, both before and after you make the change.


EVGA splashes into CPU chilling with new closed-loop liquid coolers

EVGA's venture into CPU cooling is further evidence that the enthusiast sector of PCs is thriving. Indeed, the AIO coolers are just the tip of the iceberg for EVGA, which is poised to meet the cooling needs of more sophisticated users, as well.  While all-in-one coolers are designed for simple, straightforward installation, EVGA will soon expand its selection into something much more ambitious. EVGA’s QRC, or quick-release cooling, system will mix the ease of AIOs with the flexibility of custom water-cooling setups by offering a variety of prefilled liquid-cooled components with snap-on quick-release connections at their ends. The idea is you can buy these separate AIO parts and expand the cooling system to fit the needs of your particular system.


The digital workplace - IT’s biggest challenge?

The opportunity is huge. A successful digital workplace is not only a means of attracting talent it also maximizes the creative potential of the workforce and enables new ways of working that deliver better business outcomes. So much so that Gartner predicts that by 2020 the greatest source of competitive advantage for 30 percent of organizations will come from the workforce’s ability to creatively exploit digital technology. I also see the digital workplace as a foundation stone for any organization that is approaching artificial intelligence and automation as an opportunity to empower employees to create value in new ways. It puts people, and what they need to be more collaborative and creative when administrative tasks are automated, in the spotlight.  At its simplest, the digital workplace is one that offers employees anytime, anywhere access to technology devices and services in a way that boosts engagement, creative thinking and agility.


How security can directly impact the bottom line at banks, financial institutions

Financial organizations certainly recognize that these technologies impact their bottom line, but calculating the precise ROI of preventive solutions can be difficult. As a result, security is often viewed simply as a cost center. However, security has a valuable and untapped role to play that can deliver immediate tangible results across the entire organization – while using many of the security technologies already deployed. The transformation and expanded role of security can best be seen in its potential to contribute via technology to four additional key business operations: reducing inefficiencies in processes and procedures, predictive analysis, delivering actionable data and reports and achieving compliance. These tasks are often performed with time-consuming, costly and error-prone manual processes.


How Facebook and Google are battling internet terrorism

In one initiative, Facebook has been partnering with universities to set up challenges for teams of students to develop counter-messaging campaigns. ... "The campaigns have reached tens of millions of people," she said. "Some of the campaigns are just absolutely amazing in terms of how many people they reach." Google has been backing other efforts to counter extremist propaganda online, including offering up tailored ads to users who might be recruitment targets. Last September, Google launched the "Creators for change" campaign, through which the company identifies potentially influential YouTube users and works to "resource them up and help them understand how to utilize their audience, which is really millennials around the globe, to kind of convey messages that push back on hate and extremis and violence and xenophobia," Walden said.


Vespa team creates Gita, a robot for lugging your stuff

Introducing Gita -- a little round robot that will carry up to 40 pounds of your stuff. It is the first offering from Piaggio Fast Forward (PFF), a new company from the folks who created Vespa, the iconic Italian scooter. Michele Colaninno, Chairman of the Board of PFF tells us that the company is part of a 21st century revolution on mobility. He says, "... The way forward is that robotics engineering must help people and not substitute people." We spoke with Colaninno and members of the Boston-based team that developed Gita. The team isn't developing a self-driving car. Instead, they envision a future where cities are filled with active pedestrians and their robot assistants. In a closed environment, Gita can navigate entirely on its own. But it can also head outside to tag along with a person, following the human operator's wearable device and avoiding obstacles along the way.


Businesses are at a database crossroads

As the SQL monolith splinters, developers are ending up with increasingly more data handling options; programmer website DB-Engines counts more than 300 different options. That’s a great array of choices, and choice is good. But it’s a number that also shows the complexity of the problems organisations are looking to solve in the information age. However, it can’t continue in this vein – that’s not how markets work, so consolidation and market transformation are clearly coming. However, the question for the CIO, who needs to make the largest bets on technology, is who will emerge as the Oracle or DB2 of tomorrow. By 2020 there’ll be a fragmentation of the database world into three parts.



Quote for the day:



"You can have anything in the world you want if you'll just help enough other people get what they want." -- Zig Ziglar


Daily Tech Digest - February 01, 2017

Experts explain why microservices are overhyped

In reality, granular software applets add unnecessary complexity that stymies growth, increases overhead, and is at odds with how most contemporary cloud systems operate. This is "because [microservice] applications must be refactored to realize their value," Sweet said. "It's easy to get containerization mixed up with microservices," he said. "But where a traditionally monolithic application can be delivered in a large container model, moving an application from a traditional monolithic architecture to microservices requires complete refactoring. And as many enterprises learned when they tried to build private clouds, just because a new technology is hot doesn't mean there's enough engineering talent to go around." Microservice systems also demand a skilled employment ecosystem. Market demand and interest in microservices currently exceeds the pool of available, trained workers.


The Industrial Internet of Things is full of transformational potential

Zhang observes that IIoT is not a new concept for manufacturing as most production facilities have had process control systems, SCADA data and historians for decades. However, with the advent of IIoT the next wave of manufacturing productivity is at the doorstep (or on the loading dock). The application of analytics to volumes of data produced by instrumented, connected assets can deliver quantifiable savings and benefits across supply chain and manufacturing processes. However, one of the immediate challenges frequently voiced by manufacturers undertaking an IIoT initiative is acknowledgement that much of the data generated by their assets is never captured, particularly “unstructured” data. And this is where IBM’s Watson IoT cognitive capabilities can transform that data, once captured, into meaningful insight.


The Data Science Puzzle, Explained

Several concepts central to data science will be examined. Or, at least, central in my opinion. I will do my best to put forth how they relate to one another and how they fit together as individual pieces of a larger puzzle. As an example of somewhat divergent opinions, and prior to considering any of the concepts individually, KDnuggets' Gregory Piatetsky-Shapiro has put together the following Venn diagram which outlines the relationship between the very same data science terminology we will be considering herein. The reader is encouraged to compare this Venn diagram with Drew Conway's now famous data science Venn diagram, as well as my own discussion below and modified process/relationship diagram near the bottom of the post.


Harnessing the value of big data with MDM

Big data can act as an external source of master information for the MDM hub and can help enrich internal Master Data in the context of the external world. MDM can help aggregate the required and useful information coming from big data sources with internal master records. An aggregated view and profile of master information can help link the customer correctly and in turn help perform effective analytics and campaign. MDM can act as a hub between the system of records and system of engagement. However, not all data coming from big data sources will be relevant for MDM. There should be a mechanism to process the unstructured data and distinguish the relevant master information and the associated context. NoSQL offering, Natural Language Processing, and other semantic technologies can be leveraged towards distilling the relevant master information from a pool of unstructured/semi-structured data.


AI Isn't Just For The Good Guys Anymore

Security providers are increasingly using machine learning to tell good software from bad, good domains from bad. Now, there are signs that the bad guys are using machine learning themselves to figure out what patterns the defending systems are looking for, said Evan Wright, principal data scientist at Anomali. "They'll test a lot of good software and bad software through anti-virus, and see the patterns in what the [antivirus] engines spot," he said. Similarly, security systems look for patterns in domain generation algorithms, so that they can better spot malicious domains. "They try to model what the good guys are doing, and have their machine learning model generate exceptions to those rules," he said. Again, there's little hard evidence that this is actually happening.


How to practice cybersecurity (and why it's different from IT security)

In cybersecurity, the defenders acknowledge that highly motivated and creative adversaries are launching sophisticated attacks. There’s also the realization that when software is used as a weapon, building a stronger or taller wall may not necessarily keep out the bad guys. To them, more defensive measures provide them with additional opportunities to find weak spots and gain access to a network. This mentality goes against the fundamental principle in IT security of erecting multiple defensive layers around what you’re trying to protect. By separating what you’re trying to protect from the outside world, you’re keeping it safe—at least in theory. While this works in physical security, where IT security has its roots, it doesn’t really work when you’re facing enemies who need to be successful just once to carry out their mission.


Security is the categorical imperative of the Internet of Things

Security is the categorical imperative of the IoT. Many companies have always understood this and have never abdicated their responsibilities. But that understanding needs to be made absolute. Security must be baked directly into every IoT solution; incorporated into the development process of all devices and systems and suppliers; normalized across every application. All stakeholders need to be on a common ground — and education is the first step. Efforts like those of the Internet of Things Consortium (IoTC) Privacy and Security Committee seek to establish and disseminate guidelines for minimum viable products and policies to strengthen privacy and security. There is no such thing as infallible security and there will always be people looking for ways to exploit and subvert IoT technologies. But we don’t have to make it so easy for them.


Business Transformation Demands Modern Data Integration

Vital data needed by organizations frequently is found not only outside the enterprise data warehouse, but outside the enterprise. Businesses are pressed to recognize the value that can come from integrating data from a variety of sources. Data management and data integration solutions have been strongly challenged to handle continuous changes in data and how it's used, increasingly in real-time. Modern data integration builds on technologies and processes that long have been part of the bigger world of data integration, beyond basic ETL functions. Practices like data quality, data profiling and data governance (also highly relevant to business users) comprise important capabilities that are central to reliable up-to-date data, no matter the source or structure. Modern data integration offerings encompass interoperating multi-platform solutions (iPaaS and on-premises), as well as pure-play cloud and SaaS solutions, where the lines continue to blur between application and data integration.


Rise of the 'accidental' cybersecurity professional

Cybersecurity is inherently interdisciplinary, Hurley said. "One thing I've done over and over is bring people from different disciplines into a room, to create a common vocabulary and work through a particular issue or problem that needs to be resolved," she said. Depending on your background, you may be able to make the leap to security within your own company, Hurley said. "There are tons of opportunities in cyber and many doors of entry," Hurley said. "Whatever doorway you come through, you will be working with colleagues from many disciplines, and becoming more expert." Shelley Westman, senior vice president of alliances and field operations at Protegrity, started her career as a lawyer. She left the field and went to work at IBM in a number of different roles ranging from procurement to product management. Eventually, she was assigned a role in hardware security.


The Misaligned Middle and Getting off the Hamster Wheel Using Kanban

So optimizing in one area can cause problems downstream in another area, and we don't recognize that if we're not looking at the big picture. Getting people to see and understand the big picture, and then having that help bring previously maybe even warring tribes together to have a conversation about how to fix it. Secondly, DevOps has a lot to do with culture. It's not just about automation and how can we change culture from a top-down command and control approach to a more distributed power to give people autonomy to do the work that they need. So some of the models that we're looking at is the Western behavior model which is the elements for a pathological kind of organization that's run by fear, versus a bureaucratic organization that's usually run by rules, versus a really agile organization to work with that's run by high cooperation and diversity



Quote for the day:


"Don't let today's opportunities become tomorrow's what ifs." -- Pat Flynn


Daily Tech Digest - January 31, 2017

Agile Is King, But Continuous Integration Is An Elusive Goal

Continuous integration with an ability to deploy hourly, often described as an end goal of adopting an agile development process, was cited by 28% as the destination they were shooting for. However, only 14% were actually doing so. Hourly continuous integration a year ago was a goal for only 18%. The added 10% a year late shows how quickly continuous integration is rising in the consciousness of development staffs. It's rising faster than the actual ability to deploy, currently at 14%, but a year ago a similar Dimension Labs survey showed it to be 10%. On the other hand, everyone is trying to practice the meshing of a software update into a production system. Thirty-five percent of respodents said they could integrate updates daily and 17% said weekly. Another 20% do updates on a "less than weekly basis" but still more frequently than the six-month or annual update periods practiced by development staffs of yore.


A human capital challenge in information technology

Leaving IT jobs unfilled can have serious consequences. For instance, with the rise of the IoT, the number of connected devices is estimated to increase to 200 billion by 2020, from 2 billion in 2006.5 Cyberattacks—crimes ranging from data theft to malware—are also on the rise. In 2015, the number of breaches involving the exposure of more than 10 million identities increased by 125 percent and new mobile vulnerabilities increased by 214 percent.6 Without the right IT talent in cybersecurity, the proliferation of the IoT could give cyber criminals increased opportunity to attack and breach businesses. Moreover, IT skills such as cybersecurity and data analytics span all industries from manufacturing and retail to financial services and government. In fact, IT skills in general span several industries, and therefore, filling IT job openings with the right talent is important to the overall performance of the economy.


Smart Cities of the Future: An Innovation or Intrusion?

An interconnected city grid of traffic and pedestrian cameras offers a wealth of actionable Big Data. As an example, in the Dutch city of Rotterdam, “the traffic authority monitors about 22,000 vehicle movements every morning, while the regional environment agency produces hourly data about air quality from sensors across greater Rotterdam resulting in over 175,000 observations per year.” In addition to better managing traffic and public transit, as well as controlling pollution, proponents highlight the ability of such data to enable enhanced policing, crowd control, and even public sentiment monitoring. However, others express grave concerns about the potential for abuse in such systems, especially given the integration of smartphones into connected apps utilized by many smart cities. Although ostensibly “anonymous,” smartphones contain personal markers, and a wealth of information that represents great value to marketers, government agencies, and fraudsters.


Why open source helps you build your applications that much faster

The ability to create new applications quickly, reliably and economically is drawing businesses to open source and inspiring them to use it for ever-larger projects. When developers think of open source, they think "free." And with good cause: it’s technology you can get at no cost and use with few licensing restrictions. However, the association I prefer is to business agility. According to the Forrester Research report "Development Landscape: 2013, 76% of developers have used open-source technology at some level. Open-source technologies offer a variety of benefits to that makes it easier to build your apps, be it bringing innovative ideas to market fast with reduced development costs, creating scalable and portable apps and services, or continuously building, testing and delivering high quality production code.


VR + AI: the very real reality of virtual artificial intelligence

By layering in aspects of natural artificial intelligence, experiences are developing that lose the feeling of being so “unreal;” distinct memories, interactions and relationships are being created that cause the user to question — well, if it happens in real life, but inside of a headset, does that not make it real? Of our five senses, Head Mounted Displays (HMDs) handle vision, a solid pair of 3D headphones like OSSIC handle sound; AxonVR and others are working on haptics and touch…next up is smell and taste, those should be, well…interesting. But beyond our five senses which create the feeling of physical “presence” in a virtual space, is the “immersion” of having a real experience, experiencing the unexpected and having the opportunity to create very real memories. As opposed to playing a pre-programmed “AI” game experience, natural social interaction is the key to this.


Who owns the data from the IoT?

There are two major classes of parties in this space. The first category includes corporations, data brokers and marketplaces, which exchange data among themselves. This is not typically exposed to tight government regulation. The second category is composed of consumers who submit data to a vendor in exchange for a product or service. Agreements in the consumer space may be subject to government oversight. The result is that certain industries such as healthcare must comply with a network of statutes and agency rules. On the other end of the spectrum is the give-and-take approach. Under this approach, the vendor may collect in-depth data from a sensor platform to optimize the user's experience. Here, the contract allows all data to be exchanged in return for incentives such as a curated service or discount. This approach conveys all data usage rights and data title once the end user opts in.


Linux: The 10 best privacy and security distributions

The awesome operating system Linux is free and open source. As such, there are thousands of different ‘flavours’ available – and some types of Linux such as Ubuntu are generic and meant for many different uses. But security-conscious users will be pleased to know that there are also a number of Linux distributions (distros) specifically designed for privacy. They can help to keep your data safe through encryption and operating in a ‘live’ mode where no data is written to your hard drive in use. Other distros focus on penetration testing (pen-testing) – these come with tools actually used by hackers which you can use to test your network’s security. In this article, we’re going to highlight 10 of the best offerings when it comes to both privacy and security.


No silver bullet for business IoT security

One way to sabotage IoT deployments is to replace trusted devices with rogue ones. Existing technologies can help here. SSL/TLS encryption not only ensures that data transmitted by devices is secure, it also confirms a device’s identity. To this end, there has also been renewed interest in PKI (public key encryption). This means more encryption certificates as devices proliferate, which may mean upgrading certificate management capabilities. The encryption suppliers all have new messages around IoT security, including Symantec, Gemalto, Thales, Entrust Datacard, Vormetric and Venafi. Other approaches are being developed to help with IoT device identification. Third-party registries are gaining popularity. These can be referred to for identifying devices and their expected location and function. DNS service providers such as Neustar list known devices and there are specialist databases such as Xively.


Security Automation Isn’t Artificial Intelligence Security

What is confusing many security technology buyers at the moment lies with the inclusion of AI buzzwords around products and services that are essentially delivering “automation.” Many of the heavily marketed value propositions have to do with automating many of the manual tasks that a threat analyst or incident responder would undertake in their day-to-day activities, such as sifting through critical alerts, correlating them with other lesser alerts and log entries, pulling packet captures (PCAPs) and host activity logs, overlaying external threat intelligence and data feeds, and presenting an analytics package for a human analyst to determine the next actions. All these linked actions can of course be easily automated using scripting languages if the organization was so inclined.


Introduction to Machine Learning with Python

Machine learning at a high level has been covered in previous InfoQ articles (see, for example, Getting Started with Machine Learning in the Getting a Handle on Data Science series), and in this article and the ones that follow it we’ll elaborate on many of the concepts and methods discussed earlier, emphasizing concrete examples, and venture into some new areas, including neural networks and deep learning. We’ll begin, in this article, with an extended “case study” in Python: how can we build a machine learning model to detect credit card fraud? (While we’ll use the language of fraud detection, much of what we do will be applicable with little modification to other classification problems—for example, ad-click prediction.) Along the way, we’ll encounter many of the key ideas and terms in machine learning, including logistic regression, decision trees, and random forests, true positive and false positive rate, cross-validation, and ROC and AUC curves.



Quote for the day:


“When you innovate, you’ve got to be prepared for everyone telling you you’re nuts.” --@LarryEllison


Daily Tech Digest - January 30, 2017

10 new UI features coming to Windows 10

An addition to the Windows Hello security feature would automatically send your Windows 10 desktop to its lock screen when you step away from it. (You can go to the lock screen by hitting the Windows logo and “L” keys at once.) An official name has not been released, but possibilities include Proximity Lock, Dynamic Lock and Windows Goodbye. Microsoft has not revealed how Windows 10 would sense that you have stepped away. The simplest method would be to use your computer’s webcam, but this feature could also pair your smartphone with your Windows 10 computer or device through Bluetooth. When you step away, taking your smartphone out of Bluetooth range, Windows 10 would then go to its lock screen.


Cyber Security : Why It Belongs In The Board Room

Given the present state of cyberspace, no longer can organizations afford their departments to work in silos when it comes to cyber security. What is required is cultural shift from the bottom to the top of the organizational pyramid covering every nook and corner of all echelons and stratums wherein every individual employee of the organization maintains an optimum cyber hygiene. It is the job of every employee from the CEO to the newly hired apprentice to inculcate an optimum security hygiene and develop a level of vigilance and awareness. It is the cumulative impact of individual cyber hygiene that can effectively deter and prevent the belligerent and bellicose cyber criminals from raiding the organizational networks and stealing the data. It is the shared level of vigilance and cyber awareness on which the organization’s cybersecurity posture is dependent.


The changing face of business - and the part artificial intelligence has to play

While many believe that AI will supplant humans, we think it will instead mostly enable people to do more exceptional work. Certainly, AI will cause displacement of jobs, but it may also significantly boost the productivity of labor. Innovative AI technologies will enable people to make more efficient use of their time and do what humans do best – create, imagine and innovate new things. With technology overall and AI in particular, the key ingredient for success and creating value is taking a “people first” approach. But to make this transition means both companies and governments must acknowledge the challenges and change how they behave. They must be thoroughly prepared—intellectually, technologically, politically, ethically and socially. Governments and businesses will need to take several steps, many of which are not easy


The bank of the future: AI technology a driving force in banking

Future-focused banking institutions need to get on board with AI sooner rather than later, as the industry moves to embrace smart technologies and customer bases become more familiar with these tools. Many banks are already heading in that direction, with a great deal of success. According to Banking Technology, as of June 2016, Sweden's national bank utilized an application that handled more than 30,000 customer conversations per month, with the ability to understand more than 350 different queries – and it resolved issues 78 percent of the time. Co-publisher of The Financial Brand Jim Marous noted in early January 2017 that artificial intelligence was set to explode in the coming year, and the numbers seem to corroborate that claim. A survey conducted by Narrative Science and the National Business Research Institute found that 32 percent of financial services executives were using AI technologies within their operations


7 Tips For Getting Your Security Budget Approved

'This the season for building budgets, and security managers are under pressure to get the funds they need to protect their organizations. Of course this is easier said than done. The road to budget approval is paved with difficult conversations between infosec professionals and business executives. If security leaders don't convey their needs in an understandable way, they risk disapproval from decision-makers and, as a result, less security spend. Businesses' risk of cyberattack will only grow higher in 2017. As they create their security budgets, managers need to consider a few points that will help prepare them for productive conversations with executives. Here, experts share their advice for security leaders creating and discussing their budgets for this year. Bear these in mind while navigating the budget approval process. Are there any tips you would add to this list? Let's keep the conversation going.


What the AI? Trends in Artificial Intelligence, and What’s to Come

“Imagine a world where every app could talk to every other app, and those conversations were animated by a deep and contextual intelligence…That’s exactly the experience Viv wants to enable, and in its tantalizing demos, it seems to conjure that world from the thin air of our current infrastructure — ask it to send $20 to your friend Adam for the drinks last night and Viv parses and then executes your request.” ...  “In order for Viv to utilize the incredible scale Samsung offers, and in order to achieve our ultimate goal of redefining the way people interact with the digital landscape, it would be essential for Viv to be available across more than just Samsung devices. Our vision requires that Viv be everywhere. Samsung is with us. We share a mutual vision to leapfrog the current state-of-the-art in AI, ushering in a new era.”


Protecting Health IT infrastructure from DDoS Attacks

“An attacker may be able to deter patients or healthcare personnel from accessing critical healthcare assets such as payroll systems, electronic health record databases, and software-based medical equipment (MRI, EKGs, infusion pumps, etc.),” said the Office for Civil Rights (OCR) in a recent cybersecurity newsletter. “The attacker may hijack or take control of a computer, forcing the computer to send out huge amounts of illegitimate data traffic to particular websites or send spam to particular email addresses,” OCR continued. “The attacker can also control multiple computers with malicious software (also known as botnets) to launch a DoS attack.” According to Akamai’s quarterly State of the Internet: Security Report published in May 2016, DDoS attacks increased by almost 40 percent over the previous year, making them one of the most serious threats to healthcare data.


How financial-services firms can become more agile by bringing IT out of the back office

A better solution is available: integrating technology directly into business units, through a model we call capabilities-driven IT. In this model, teams combine business, operations, and technology skills to deliver a specific capability. These teams — called capability pods — contain all the talent and tools necessary to deliver the capability and are responsible for all its aspects, including product ideation, product management, operations, technology design, and development. The pods contain technology specialists, but they also leverage IT’s evolution to SaaS, service-based architectures, and increasing user-friendliness to permit team members without formal technology backgrounds to contribute to IT development. The technology specialists also provide insight to and receive feedback from business and operations.


How to Digitally Transform the Wealth Management Experience

Wealth management is undergoing enormous changes. As new technologies and business models transform the investment experience, emerging generations have different needs and requirements. Tech-savvy users are demanding increased access to information and resources. Artificial Intelligence, or AI-enhanced applications are becoming more commonplace, and robo-advisors have emerged as an alternative strategy competing for high net worth investor attention and share of wallet. Investment management firms that have embraced digital solutions are better able to support their client engagement efforts. Leaders in this space are increasing assets under management and reducing costs, while offering higher levels of service and expanded offerings for valued customers.


If You Want To Do Something Disruptive In A Changing Industry, You Need New Blood

What is also radically different about Kiran’s approach is that he has left the medical professionals to focus on providing treatment, while not being bogged down by the day-to-day administration. Conventionally, in India, the doctor runs his own practice, so has to be an entrepreneur in the sense of promoting his or her own practice. With the daily hassles of managing eye care centres taken care of, the doctors are free to focus on what they know best – provide care and top quality treatment. This has really helped to make an impact. He is now working on a revolutionary idea that would take the hospital to the people instead of the other way around through a mobile eye clinic. “I feel I am answerable to my investors, so I must show them results.” In the future, this model can extend beyond eye care to other aspects of healthcare as well.



Quote for the day:


"Man is a slow, sloppy and brilliant thinker; the machine is fast, accurate and stupid." -- William M. Kelly


Daily Tech Digest - January 29, 2017

The Number 1 Mistake Most Founders Make

The trick here is to learn focus -- think of a compelling book you recently picked up. More often than not, you might find a handful of great ideas covered in just a few paragraphs. It's time consuming for the reader and a waste of paper for the author. Founders should find the core parts of their mission that matter and weave out the things that don't Figure out precisely what you’re going to do for two weeks to be productive and change behaviors. By identifying existing strengths and targeting these pillars, founders can make a bigger impact in the appropriate areas. Albert Einstein said it best when he defined insanity as doing the same thing over and over again and expecting different results. If you keep doing the same thing, don’t expect a different outcome. Focus on things that can add substantial growth opportunities to the business.


Meet the chief architect of Aadhaar, Pramod Varma

Pramod recollects a rather worrisome conversation with a professor in the US who specialised in biometrics, having worked in the area for a long time (he volunteered for Aadhaar). He said, ... Pramod then spoke to Google and Facebook and studied their architecture. He realised that in Aadhaar, one identity deduplication has to do nothing with another person’s ID deduplication of data. They realised that it's a very parallelisable problem. Pramod then took a personal bet and decided to go with an open source, commodity computing. They didn’t use any proprietary chipset or computers because they couldn’t have a (architectural) lock-in situation of national critical infrastructure like this (if it succeeds).


Making a Difference with FinTech – Three Examples

There is enough said about the scale of the FinTech industry, its inclusive agenda and massive surrounding ecosystem, but the real value of this industry is not in millions that are moving around in funding, expansion and acquisition deals. The value is measured in micro-processes, in the real, everyday difference FinTech startups make for small businesses and individuals. One of the most important hallmarks of the FinTech community is its focus on solving cumbersome operational problems, allowing business leaders to recalibrate resource allocation (talent, financial resources) to deliver value to their clients rather than to simply remain afloat in a highly competitive market. Let’s look at three illustrative examples of FinTech companies that make a real difference


The Power of Artificial Intelligence is to Make Better Decisions

Reese notes that there is no consistent definition of AI. There is no consistent agreement on the meaning of intelligence. There is also a debate on the word ‘artificial’. That said, the power of AI for augmenting humanity intelligence, improving productivity, and delivering large scale insights is real and in place today. “The power of AI is the power to make better decisions. It is the ability to analyze data, learn and gain new insights in order to make better decisions,” said Reese. ... The power of AI is all about the data. AI that does something based on your data, which Reese calls transferred learning. More importantly is when AI can help businesses make more informed decisions and actions on data sets that you may not have. Reese believes that AI use in business will be ubiquitous.


How enterprise architects can raise their profile within the business – and earn a seat at the table

IT teams have long fought for a seat at the executive table. They have longed to be heard, and be regarded as trusted advisors to the CEO. Now that digitisation is widely recognised as being essential to innovation, growth and the capacity to readily compete, IT is well on its way to becoming firmly embedded in charting the direction of the business, as are the enterprise architects (EAs) that work alongside them.  ... Respected for their technical savvy, and for bringing key technology information into strategic planning, capacity planning and project execution, EAs have typically been key players in the IT team, fighting alongside CIOs to have their strategic insights heard and their version of innovation understood.  In order to earn a seat at the business strategy table, and further show how they are driving business transformation, EAs must increase their visibility within the business.


With tech skills but not enough electricity, meet Gaza's first startup accelerator

"In a crunch, we charge our phones and laptops with car batteries, but such methods are unreliable and not scalable and the problem is chronic. So that startup founders and freelancers can compete at an international level, we need to reliably power up our laptops and mobile phones and access internet and light for at least 12 hours each day, every day of the week." Access to power may be something that many of us take for granted, but it's not a given for Gaza's young, tech-literate population. GSG director Ryan Sturgill tells ZDNet that with unemployment for people aged under 30 years at over 50 percent, technology can help to address vital socio-economic issues. "Increasing coding skills and access to in-demand technologies boosts Gazans ability to build products that can be competitive around the world," he says.


6 Benefits of Coworking With Strangers

Freelancers and contractor writers operate as independent entrepreneurs, but that arrangement doesn't have to mean creating entirely in a vacuum. Gathering with other freelancers in a coworking environment can benefit professionals as well as their products. Coworking provides opportunities to observe and learn from colleagues who value their autonomy and often share other values, too. From this perspective, it's natural that freelancers would appreciate the synergy of a place where numerous, talented people converge in a similar space. The technology age has made it easier than ever for contractors to bring their tools with them. This enables them to work with other like-minded individuals from virtually anywhere. If you're thinking about moving your one-person shop to a coworking atmosphere, consider how these perks could infuse you with new ideas and elevate your current projects.


IT Service Providers Prepare For Potential H1-B Visa Changes

The chief executive of number two Infosys, which earns about 60 percent of revenues from U.S. clients, acknowledged in a press conference two weeks ago that there were likely changes coming to the H-1B program but said he was not “overly concerned” because the company had already increased local hiring. “This is something that I have been focusing on since I started,” said CEO Vishal Sikka, himself a U.S. citizen. “So, we are absolutely committed to creating U.S. jobs, similarly in Australia, in Europe and other geographies where we operate in... Regardless of visa policy, the right thing to do for innovation is to have a lot of rich local talent.” Likewise, HCL Technologies CEO C. Vijayakumar told reporters this week that the company has already been increasing campus and entry-level hiring in the U.S. to support future growth.


Russia Arrests Cybersecurity Official

Kaspersky Lab says that the work of its computer incidents investigations team has continued despite Stoyanov's arrest.According to Stoyanov's LinkedIn profile, he joined Kaspersky Lab in July 2012. Prior to that, he worked as deputy director at a firm called Indrik  ... What's also not clear is if Gerasimov's potential dismissal might relate to the 2016 U.S. presidential election. The U.S. intelligence community accused the Russian government of attempting to influence the election. As part of that alleged campaign, Russia's military intelligence service, the GRU, provided WikiLeaks with thousands of hacked emails from the Democratic National Committee and others, including Hillary Clinton's campaign chairman, according to a report issued by the Office of the Director of National Intelligence and the Department of Homeland Security"


Deleted Versus Destroyed: The Critical Difference In Dealing With Data

“The majority of data breach victims surveyed, 81 percent, report they had neither a system nor a managed security service in place to ensure they could self-detect data breaches, relying instead on notification from an external party. This was the case despite the fact that self-detected breaches take just 14.5 days to contain from their intrusion date, whereas breaches detected by an external party take an average of 154 days to contain.” These statistics underscore the importance of having a military-grade solution for corporations, data centers, governmental agencies and organizations with the strictest data destruction standards. ... The act itself happens at a client’s site, so those in attendance can see the most advanced resources of their kind—including the deployment of shredding trucks to remove all destroyed materials—guarantee that data are no more



Quote for the day:


"Vision is a picture of the future that produces passion." -- Bill Hybels