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Top 5 cybersecurity trends for 2019

A decade, perhaps two decades, late for some organisations, cybersecurity is now considered a key business risk by the board. 2019 will see this trend accelerate as boards demand clarity and understanding in an area that was often devolved as a sub-component of the CISO’s role, and was not really a major topic for the boardroom.

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Managing the Human Cloud

Companies have increasing opportunities to tap into a virtual, on-demand workforce. But the organizational challenges of this latest wave of outsourcing require new management models and skills.

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Big Data: Service From the Cloud

That the era of big data is upon us is no longer a question. What to do with all that data appears to be the next big hurdle. Particularly in certain industries — life sciences, for example — that collectively generate so much data, researchers are unable to delve into any real insights, with any real speed.

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Navigating a New Industrial Infrastructure

Business leaders are increasingly inundated with information about how emerging, connected technologies such as cloud computing, internet of things, AI, blockchain, and others can transform their businesses. The potential resulting haste to adopt new technology and harness transformative change can lead organizations to treat these emerging technologies in the same manner as other, more traditional IT investments — as something explored in isolation and disconnected from the broader technological needs of the organization.

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How to Read and Respond to Weak Digital Signals

One of the most difficult challenges companies face is knowing when the environment they’re used to operating in is shifting. Often, identifying the change requires reading and acting upon ambiguous, inconclusive bits of information that are mixed into the “noise” of everyday activities and therefore easy to overlook.

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How Digital Trust Drives Culture Change

One of the most difficult challenges companies face is knowing when the environment they’re used to operating in is shifting. Often, identifying the change requires reading and acting upon ambiguous, inconclusive bits of information that are mixed into the “noise” of everyday activities and therefore easy to overlook.

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Trapped in the Data-Sharing Dilemma

Managing passwords and user credentials for a host of websites and apps has become increasingly challenging for consumers of digital content and services. To address this annoyance, large online platforms allow unaffiliated websites to authenticate users through a shared log-in — for instance, “Log in with Facebook.”

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The Big Impact of Small Data Errors

A 2008 news report led with reports of Russian tanks and troops surging into Georgia — accompanied by a map mistakenly depicting the invaded territory as Savannah, Georgia, rather than the homonymous Eastern European country. While the story was correct, Google News’ map selection was not.

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Demystifying Data Monetization

Every company operating today is a data company. Most have access to an array of data on their supply chains, operations, strategic partners, customers, and competitors. Yet most companies are leaving money on the table, with only one in 12 monetizing data to its fullest extent. Data on its own has value, but insights derived from data substantially increase that value.

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The Smart Way to Deal With Messy Data

Unstructured data — data that is not organized in a predefined way, such as text — is now widely available. But structure must be added to the data to make it useable for analysis, which means significant processing. That processing can be a problem.

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Why Managing Consumer Privacy Can Be an Opportunity

How many privacy policy updates does your credit card company send you each year? How many of them do you read through — and how many get immediately trashed? Companies often “manage privacy” and “keep consumers informed” by drafting their privacy policies as broadly as possible and consider their job done if they change the policy 10 times a year to fit with changing practices within the company.

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Why APIs Should Be Regulated

Alphabet, Apple, Facebook, Amazon, Alibaba, Tencent, and Baidu are today’s digital titans: Their services accelerate innovation and enable new business models, but also create expansive data empires that allow them to control and shape the digital world. Given their rapid growth and dominance, concerned citizens and regulators in Western markets are asking: How should these digital titans be regulated?

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Analytics is Transforming Customer Service: Should We Worry?

Customer service and … cognitive computing? Really?

Yes, it’s happening. A recent Forbes article, IBM’s Watson Now a Customer Service Agent, Coming to Smartphones Soon, describes cognitive computing’s growing influence on customer service at a wide range of consumer-facing organizations — think financial services, telecoms, retail and insurance companies.

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Why Tech Companies Don’t See Their Biggest Problems Coming

Since Mark Zuckerberg’s recent congressional testimony about Facebook’s unauthorized release of the private data of millions of users, many flaws in the company’s business model have come to light. Crises related to member privacy, misuse of data, and loss of public trust in the company have been emerging in an almost uninterrupted stream.

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The Storage and Transfer Challenges of Big Data

With the bird’s eye view of an analyst, Simon Robinson has paid a lot of attention in the last 12 years to how companies are collecting and transmitting increasingly enormous amounts of information. Since 2000, Robinson has been with 451 Research, an analyst group focused on enterprise IT innovation. Today he is research vice president, running the Storage and Information Management team.

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Transparency as a Competitive Advantage: Think Very Carefully About Communicating Your Data Sharing Initiatives

As the fallout from the NSA scandal continues to deepen, organizations that collect and share data — whether compelled by law or not — must be open with consumers about their actions.

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How Much Data is Too Much Data To Mine?

A recent article in PC Advisor, “Equifax Eyes Are Watching You — Big Data Means Big Brother,” discusses the staggering amount of data credit reporting giant Equifax gathers on individuals. Equifax collects details on 500 million consumers and 81 million businesses in 17 countries. Included are magazine subscriptions, rental history, real estate assets, investment wealth, retail purchasing habits, criminal records, debt-to-income ratios, DMV files, post office boxes, and more.

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Welcome to the Coherence Economy

Nearly 20 years ago, there was a major economic shift — from a services economy to an experience economy. Since then, the accelerating pace of technology, fueled by hyperspecialization, digitization, and the ability to programmatically control these new environments, has been quietly ushering in a new economy set to challenge every industry — the coherence economy.

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A Comprehensive Approach to Security

Identity theft is the fastest-growing crime in the world, and while it is commonly thought of as a mostly petty crime involving stolen personal credit cards or social security numbers, it is now becoming a larger threat to governments and corporations. Multiple Web sites offering fake driver’s licenses and social security cards for as little as $75, paired with identity theft’s increased ties to organized crime, have made it a vital homeland security issue.

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The Flood of Data From IoT Is Powering New Opportunities – for Some

It comes as no surprise that an important part of data analytics is the data itself. In fact, the appeal of the internet of things (IoT) largely relates to the role of connected devices in gathering this valuable resource. With hyperbole rampant about the new “oil,” “soil,” “coal,” or even “gold,” are we becoming inured to data’s promise? And even if we aren’t, how effective is IoT at delivering on the promise of these data riches?

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How to Develop a Great Digital Strategy

As leading technology companies embrace biometrics, artificial intelligence (AI), drones, and other exciting digital technologies, senior business executives at many other companies feel pressured to do the same. But if they are to maximize the value from investment in new technologies, business leaders first must make sure that their companies have a great digital strategy.

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Getting Your Employees Ready for Work in the Age of AI

The era of AI is upending work as we know it. And as companies start using intelligent technologies in earnest, many people who have been well-trained for their positions for a long time may suddenly find themselves in uncharted waters. The good news is that employees are ready to embrace the changes they see coming.

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Every Leader’s Guide to the Ethics of AI

As artificial intelligence-enabled products and services enter our everyday consumer and business lives, there’s a big gap between how AI can be used and how it should be used. Until the regulatory environment catches up with technology (if it ever does), leaders of all companies are on the hook for making ethical decisions about their use of AI applications and products.

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Can We Solve AI’s ‘Trust Problem’?

The sad fact is that many people don’t trust decisions, answers, or recommendations from artificial intelligence. In one survey of U.S. consumers, when presented with a list of popular AI services (for example, home assistants, financial planning, medical diagnosis, and hiring), 41.5% of respondents said they didn’t trust any of these services.

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AI’s Prediction Problem

AI developments often focus on new capabilities to “detect and predict.” Progress on prediction is certainly impressive. Even for two things we can be sure of (death and taxes), advances in AI can help us know better when these certain events will happen, how much they will cost , and when people are trying to avoid them.

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The Risk of Machine-Learning Bias (and How to Prevent It)

Many companies are turning to machine learning to review vast amounts of data, from evaluating credit for loan applications, to scanning legal contracts for errors, to looking through employee communications with customers to identify bad conduct.

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Rethink AI Objectives

When customers feel like no one is listening, they may be right. Or, they may be unknowingly talking to a machine. Last week, Google announced Duplex, an artificial intelligence (AI) assistant that can handle customer service requests, such as booking an appointment or providing basic information.

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