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iTech Dunya is a technology blog that specializes in tech-related topics.Our GOAL is to produce high-quality content for our millions of readers.


 
 Cybersecurity partners, such as security investigators, directors, and executives, got to make educated and convenient choices to secure their organizations from cyber dangers. Be that as it may, without dependable and significant information, they may battle to survey the performance, proficiency, and adequacy of their security operations center (SOC). Usually where SOC measurements and announcing come in convenient. In this article, we are going how SOC measurements can drive superior decision-making for cybersecurity stakeholders by giving experiences into four key regions: danger discovery, occurrence reaction, group efficiency, and security posture.
 
 
 
 
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 1 Danger detection
 One of the most objectives of a SOC is to identify and avoid cyber assaults some time recently they cause harm or disturbance. To degree how well a SOC is accomplishing this objective, cybersecurity partners got to track measurements such as the number, sort, and seriousness of alarms, the untrue positive and negative rates, the scope and exactness of security apparatuses, and the time to identify and confirm dangers. These measurements can offer assistance partners recognize holes, shortcomings, and openings for change in their risk location capabilities, as well as benchmark their execution against industry measures and best practices.
 
 Include your perspective
 
 Risk detection:
 #Contextualize Measurements: Whereas following measurements such as the number, sort, and seriousness of cautions is imperative, it's too fundamental to contextualize these measurements. Get it the particular risk scene confronted by your organization, counting predominant assault vectors, focused on resources, and industry-specific dangers. This relevant understanding makes a difference prioritize cautions and distribute assets effectively.
 #Nonstop Checking and Tuning: Danger detection isn't a inactive prepare; it requires nonstop monitoring and tuning of security instruments and forms. Track measurements related to the viability of tuning endeavors, such as the diminished in wrong positives and negatives over time.
 
 
 



 
 
 2 Occurrence response
 Another crucial function of a SOC is to reply and contain cyber occurrences as rapidly and viably as conceivable. To assess how well a SOC is performing this function, cybersecurity partners have to be measurements such as the number, sort, and affect of episodes, the time to reply and resolve occurrences, the quality and consistency of occurrence documentation and detailing, and the lessons learned and remedial activities taken after occurrences. These measurements can offer assistance partners evaluate the productivity, adequacy, and development of their occurrence reaction forms, as well as distinguish zones for optimization and automation.
 
 Include your perspective
 
 Occurrence response:
 #In expansion to following the number and sort of occurrences, evaluate the seriousness and affect of each occurrence on the organization's operations, resources, and notoriety. Classify occurrences based on their potential trade affect and prioritize reaction endeavors appropriately. This guarantees that assets are apportioned viably to address high-impact occurrences first.
 #Degree the time it takes to identify and react to episodes from the minute they are recognized. Track measurements such as the MTTD and cruel time to react (MTTR) to survey the proficiency and viability of occurrence detection and reaction forms. Point to play down measurements to diminish the term and affect of security episodes on the organization.
 
 
 
 
 3 Group productivity
 A SOC depends on the abilities, information, and collaboration of its human assets to deliver high-quality security administrations. To degree how well a SOC is overseeing its group productivity, cybersecurity partners need to track measurements such as the workload, accessibility, and utilization of security investigators, the aptitude level and preparing needs of security staff, the turnover and maintenance rates of security staff, and the fulfillment and engagement of security representatives. These measurements can offer assistance partners optimize the allotment, improvement, and maintenance of their security talent, as well as cultivate a positive and strong work culture.
 
 
 
 4 Security posture
 A SOC contributes to the overall security pose of an organization by giving imperceptibility, security, and direction on cyber dangers and compliance. To degree how well a SOC is enhancing the security pose of an organization, cybersecurity partners require to track metrics such as the number and seriousness of security occurrences and breaches, the cost and affect of security episodes and breaches, the compliance status and review comes about of security arrangements and controls, and the development level and arrangement of security procedure and goals. These measurements can offer assistance partners measure the esteem and return on speculation of their security endeavors, as well as communicate and legitimize their security needs and needs to senior administration and other trade units.
 
 
 

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iTech Dunya is a technology blog that specializes in tech-related topics.Our GOAL is to produce high-quality content for our millions of readers.
Have you recently broken your iPhone screen and wondered if one model screen is the same as another? Have you ever wanted to put a different model screen on your phone because you only have that model available? If the previous question set applies to you, the following article will likely clear up some of your questions.
iPhone 2G (first generation): this model iPhone was one of the best ever designed. That being said, this screen is likely the least user friendly of all to replace. The screen is a one piece unit with the glass /digitizer and LCD that are inseparable. The connection cables are unique to this model.
iPhone 3G: this model iPhone paved the way for a much more user friendly repair. The glass is now removable from the front of the phone separate from the LCD. This allows for a much cheaper and easier glass repair. Once again, like all models of the iPhone, while the screens look similar, they all have different connections.
iPhone 3GS: this model introduces the oleophobic screen. This really does not do that much, simply is "oil fearing" meaning that the screen will not fingerprint as easily. That being said, no you cannot use the 3GS screen on the 3G. The 3GS setup is virtually identical to the 3G, with different connectors of course.
iPhone 4: this screen is novel in the fact that the LCD is much more vibrant than the previous models. Apple also boasts that the screen is made of helicopter glass. That being said, they made the screen with the glass being the primary impact point when it hits the ground. The result is: helicopter glass broken. The screen is also oleophobic. This screen regresses to it's old profile of being one unit with the LCD. This means a much more expensive repair.
This should help when approaching an iPhone screen repair.
Please visit our website if you have any questions about iPhone Screen Repair [http://www.iphone3gscreenrepair.com]


Article Source: http://EzineArticles.com/4951685

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iTech Dunya is a technology blog that specializes in tech-related topics.Our GOAL is to produce high-quality content for our millions of readers.
At a time where securing and analyzing big data has become crucial, AI is rapidly becoming the tool of choice to make sense of all the white noise. If you have any doubt on the future adoption of this technology, you only have to look at how tech giants are positioning themselves. 
News that Google has rebranded its Google Research arm as Google AI speaks volumes. The tech behemoth has been working and investing heavily into AI and machine learning capabilities for some time, but in a digital age where brand image is everything, the rebranding seems a natural step.
To better reflect this commitment, we’re unifying our efforts under “Google AI,” which encompasses all the state-of-the-art research happening across Google. 
In the announcement, Google also advised that they have emphasized implementing machine learning techniques in nearly everything they do from computer vision to healthcare research and machine learning. By putting AI at the heart of their plans, the future becomes relatively easy to predict.
The stage was perfectly set for Google’s annual I/O developers’ conference, Google I/O 2018, and the new Google AI branding acted as the perfect teaser trailer. Although where we are heading is incredibly exciting, how far Google has come in a short space of time is equally fascinating.
If we go back in time to last year’s event, Google Home was relatively new, and Google Assistant was beginning to appear on onto non-Pixel devices. The transformation of Google into an AI company appears to be ramping up the pace, but what does this mean to our immediate future?
At I/O 2018 the tech giant unveiled Google Duplex, a new “AI system for accomplishing real world tasks over the phone.” Duplex allows users to delegate a virtual agent to proactively call a local business to handle tasks such as making dinner reservations, scheduling hair appointments, or confirming holiday hours – all using natural conversational language that often is indistinguishable from that of a human. The result of the interaction (e.g. a confirmed reservation for two at 7 PM) is then returned to the human user and assumedly placed into their personal Google Calendar or otherwise into Google’s ecosystem. The system will be available in limited release beginning this summer.
In a post-Cambridge Analytica world having an AI Assistant talk on your behalf without any input will be a little unsettling. The idea of future encounters with fellow humans finishing with the line "I will have your AI call my AI," will equally be uncomfortable to many. But, if Google can get the balance right, we have already witnessed what a game changer it can be.
Watching AI interacting with people naturally and adjusting tone accordingly is something that we have been promoting at IPsoft for some time now with Amelia. Google's latest demo allowed mainstream consumes understand how it will impact their world and also highlights how quickly technology is progressing. 
It's not just about how the world of tech is evolving but also about how Google is openly stating their intention to influence its future. For these reasons alone, many would agree that the rebranding exercise is much more about PR than anything else. But, how it will alter the digital landscape is something that businesses will have to monitor carefully.
A few months ago, there were numerous reports about companies adding the word ‘Blockchain’ to its name, and their share price rocketed 500%. Does this mean that we will begin to see the emergence of more “AI-driven” or “based on AI” claims from providers that don't actually use the technology?
Purposely incorrectly labeling a solution to mislead businesses who want to jump on the AI bandwagon could oversaturate the marketing and confuse decision makers. If you do not perform due diligence when looking for the next business solution, you could quickly end up with just nothing more than a series of buzzwords.
However, no business can afford to ignore AI. Virtual assistants, immersive experiences, and robots are no longer science fiction; the future is now. Technology is already transforming how employees and customers interact across a global digital community. For business leaders, the allure of increased productivity and efficiency will be impossible to resist too. Google’s fascinating demonstration piques the imagination as to what functionality this technology might soon bring about.
In the meanwhile, another AI giant IPsoft, that sells exclusively to the Enterprise, has been exploring the frontiers of human-AI interactions for nearly two decades. IPsoft’s state-of-the art digital colleague, Amelia, intelligently connects users to enterprise systems using natural conversational language to accomplish complex tasks.
For example, in a recent program, IPsoft collaborated with a home security company to teach Amelia to proactively call customers when a disturbance is registered in the house. She first confirms the customer’s identification through a series of questions (e.g. mother’s maiden name) before notifying them of the issue (e.g. movement on the second floor), and then – if necessary – works with them on next steps (e.g. contacting the local authorities).
While Google Duplex presents some very intriguing promise in the consumer space, Amelia is being implemented by global enterprise customers across a wide spectrum of verticals. Like Amelia, Duplex’ fluid natural-language conversation is the result of established technologies like Artificial Intelligence Markup Language (AIML) and episodic functionality. Amelia’s brain, however, also boasts a powerful process memory, which allows her to follow an individualized process flow like walking a customer through the complexities of the mortgage application process (this functionality is ideal for rapid compliance in regulated industries like banking and healthcare). She also features an industry-leading emotional intelligence, which allows her to identify the emotional state of human users and alter her interactions accordingly.
IPsoft works with companies to teach Amelia to dynamically navigate users through sustained, complex business procedures like researching, applying, and purchasing insurance. While Duplex is specifically designed to handle brief, constrained examples (like making basic appointments), Amelia interacts with humans for 10-, 20-, 30-minute conversations, or beyond. Since she is tasked with collecting and utilizing so much vital personal data (everything from bank account information to health records), Amelia has been designed to be deployable on-premises, which allows her clients to maintain complete control of their customers’ data instead of relying on a third-party cloud service.
The AI space is a fascinating and rapidly evolving one which will reimagine how the world works.
#AI, #Amelia, #GoogleDuplex, #Conversational, #GoogleI/O, #GoogleIO


Anurag Harsh





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If you're wondering what the T-Mobile-Sprint merger means for you, then you could just ask the two companies. They'll promise the world, including lower prices, better coverage, faster connection speeds, and creation of a superfast 5G network.
Or you could talk to consumers and experts who have witnessed previous mergers in other industries. They'll predict the opposite will happen -- including higher prices, spotty service, and perhaps worst of all, the creation of an enormous cell phone company that generates obscene profits.
Who's right? And what can you do about this corporate marriage, other than watching your cell phone bills go up, and your service go down?
Sprint and T-Mobile earlier this week announced plans for a $26 billion merger, which will create the third-biggest cellular carrier in the U.S. So now's the time to ask.

Consumers don't care

This will probably not come as a shock, but consumers don't care. And consumer advocates haven't been able to muster anything more than a rhetorical, "Can you see the benefits to consumers?" question.
Talk about a fait accompli.
The cell phone industry scores a miserable 73 out of 100 on the American Customer Satisfaction Index (ACSI). Both T-Mobile and Sprint received average scores, and by "average" I mean they got 73s.
The apathy runs deep. After years of surcharges, fees, dead zones and snotty service, it seems customers have made their peace with the fickle, sluggish connections and you-get-what-you-pay-for attitude.
Sure enough, when I asked consumers for their thoughts on the merger, few believed they'd benefit from this corporate combination.
"Like most mergers, the customer will probably be worse off," says Jeff Broman, a writer from Tempe, Ariz. "Even though they will spin it that everything will be better."
"I've never seen a merger improve things," says Darryl Musick, a publisher from Los Angeles. "No reason to change my belief now."

Like an airline?

Does this remind you of anything else? I noticed another industry with an ACSI score of 73 -- airlines. And I remembered the last big airline merger, between American Airlines and US Airways. The promises were strikingly similar. They offered better service and greater efficiencies. In the end, they delivered worse service, higher prices and yes, fatter profits to the newly merged company. I kid you not.
You don't have to be an industry analyst to know what will happen next. If Sprint and T-Mobile get the government's blessing to marry (and they will, of course), then it's just a matter of time before they will follow a trail blazed by so many companies before them.
This rule -- that mergers are always better for the company than for the consumer -- is so universal that I've written it into my nonprofit advocacy organization's mission statement. It reads: "We’re unaware of any merger that created jobs, improved customer service, lowered prices or increased competition."

Another cell phone merger and what it meant to consumers

To get an idea of what might happen, consider another cell phone merger in the U.K., between Orange and T-Mobile, says Tonia Baldwin, a corporate director at A1 Comms, a provider of unified business communications services.
"There were good and bad consequences," she says.
The good? The new combined Orange-T-Mobile rolled out 4G in the UK and with it, network-specific perks, such as two-for-one cinema tickets. Coverage also improved for customers of the combined company.
The bad? The two companies, looking to save £3.5 billion, cut thousands of jobs. The employees who remained complained about unrealistic demands and targets and shrinking commissions. And customers paid, too.
"New customers had bigger bills and higher tariffs to pay," says Baldwin.
Doug Suttles, who co-founded a site called Speedtest that measures cellular connection speeds, says Sprint customers will benefit more when it comes to service quality.
That's because T-Mobile has been aggressively deploying 5G-ready infrastructure equipment in the last six months. "These assets will be fully 5G operational once the vendors push over-the-air software upgrades, likely to happen sometime before the end of this year," he says.
Even if the merger becomes -- forgive me -- the un-merger, the house always wins.
"My guess is that a merger will ruin T-Mobile and turn it into the pile of no-customer-service trash that I call AT&T and Verizon," says Delray, Fla.-based business consultant Joe Palko.
Well, we can't say we weren't warned.
Christopher Elliott specializes in solving unsolvable consumer problems. Contact him with your questions on his advocacy website. You can also follow him onTwitter, Facebook, and Google or sign up for his newsletter.
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The iPhone X is likely to be a phenomenal success for Apple. But its success will not be driven by anything new that the new phone packs inside. Instead, its success will be based on the phone’s screen size. Essentially, iPhone X provides the same screen real-estate as an iPhone Plus, but with the sleeker form factor of the iPhone 7 or 8.
Apple has done a great job at changing the paradigm of our thinking about the iPhone. If you only care about making phone calls, then an iPhone 4 is good enough. Why pay for more? You probably don’t even need to upgrade your phone for years, as long as the battery keeps holding its charge. However, for most, the actual “phone” function is the least important of the iPhone.
From an earnings perspective, iPhone X will be a tremendous boost. It will increase the average selling price per unit by a few hundred dollars, which should help not just sales, but profit margins as well. This is actually healthy for both Apple and the entire iPhone ecosystem (including DRAM and solid state drive makers — for example, we still have a large position in Micron Technology). People were also postponing buying new iPhones while waiting for the iPhone X; thus, the number of units sold will probably exceed most optimistic expectations.
Then the question becomes, What is next? Higher-priced iPhones will also change the dynamics of the upgrade cycle. Apple is going to have a harder time convincing iFanatics to shell out $1,000-$1,200 every year (or even every two years). The upgrade cycle will likely be elongating to three or four years. Thus, any blow-out success of iPhone X in 2017 and early 2018 will be coming at the expense of future years. Even if you are a loyal Apple shareholder, you have to be prepared for this.
Absent a new category of products, Apple is turning into a fully ripe stock. Yes, it will look statistically cheap based on 2018 earnings, but that will not be the case if you look at 2019 or 2020 earnings. As all the excitement subsides, Apple stock will have to answer an extremely important question: What is next? After all, the value of any business is a lot more than the earnings generated next year, but far beyond that.
Originally Published on Contrarianedge.com
So, how does one invest in this overvalued market? Our strategy is spelled out in this fairly in-depth article.
Vitaliy Katsenelson is the CIO at Investment Management Associates, which is anything but your average investment firm. (Seriously, take a look.)
Smitten by this article? Don’t let your love remain unrequited. Sign up here to get my latest articles in your inbox.
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iTech Dunya is a technology blog that specializes in tech-related topics.Our GOAL is to produce high-quality content for our millions of readers.

Soon those who can afford to set aside US$999 for a phone will turn into anamoji addicts. Apple’s latest invention enables you to tap into the wonders of the facial coding camera to convert your own facial expressions into a live emoji which can exactly mirror your mood at that moment.
It is a neat and highly trendy feature – which may come across as a simple fad – yet nothing could be further from the truth because it taps into human nature.
As I write in my latest book Small Data, years ago a group of scientists decided to investigate the phenomenon of ‘enclothed cognition’: the idea that when we dress up our personalities change.
The scientists asked a group of volunteers to wear a white lab coat and were given one that had been labeled “doctor”, “dentist”, or nothing. The research measured the respondents' behavior before and after.
To everyone’s surprise, those who wore the white lab coat originally hanging underneath the doctor signage were able to solve questions faster and more accurately after putting on the coat. They even witnessed an increase of self-confidence. Those wearing the dentist’s lab coat saw a slight improvement. Those wearing a lab coat with no signage witnessed no change at all.
Enclothed cognition is everywhere, but it is so subtle that we rarely notice it. Enclothed cognition is present when ladies dress up for the evening, put on high heels and suddenly feel more confident. It is present when businessmen aspire to get and wear a Rolex. It is present in the idea of Harley Davidson – which somehow seems to appeal the most to men hitting the midlife crisis. But it is also in the anamojis the new iPhone X holds.
As with most of the innovations, Apple has produced over the years, you can find traces of the core idea somewhere else, in this case in Sinji-ku, a suburb of Tokyo. Here businessmen can be found dressed in character costumes during their lunch break acting in character with other costumed workers. It is their 60 minutes of escape from reality. Perhaps one could argue this also explains why Halloween masks surged some 17% during the last U.S. election. Never before had so many purchased these masks and many featured Donald Trump.
There’s a German term for this; Masken Freiheit – or directly translated – the freedom behind the mask – the freedom to express whatever you want through a character.
As everything has turned transparent, privacy is in its deepest crises ever. A counterbalance is occurring. It might explain why some of the biggest fairs and exhibitions in the U.S. now are fairs attended by millions of comic fans – dressed up in everything from Star Wars to LEGO men. And it might indeed indicate that those anamojis, which at first seems so innocent, tap into the nerve of something much bigger, perhaps as big, shiny and addictive as the device they’re appearing within; the iPhone. 
Martin Lindstrom, one of the world’s foremost branding experts, is the author of Small Data: The Tiny Clues That Uncover Huge Trends.
His previous books have been translated into 47 languages and have sold well over one million copies. He was named one of TIME magazine’s 100 most influential people in the world. In 2016, Thinkers50 named him one of the top 20 business thinkers in the world, and he has been ranked the world’s #1 branding expert for three consecutive years. His articles appear in The New York Times, Harvard Business Review, and Fast Company. He advises startups and a Who’s Who of Fortune 100 companies on branding, communication, consumer psychology, retail, innovation, and transformation.
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