Monthly Archives: November 2017

Power BI expands access to intelligence for external guest users

Power BI was first introduced with a simple commitment: Empower people and organizations with access to critical intelligence. The recent general availability of Power BI Premium in June broadened the service’s reach, allowing organizations to distribute BI content broadly without requiring recipients to be licensed individually.

Today I am happy to announce that Power BI users can seamlessly distribute Power BI apps and dashboards to guest users outside of their organization – recipients are able to securely sign into the service using their own organization’s security credentials or personal email address, while the content owner is able to maintain control over the internal data.

This new feature is the result of Power BI integration with Azure Active Directory (AD) business-to-business (B2B) collaboration.

For example, consider a scenario where an automotive manufacturer working with many diverse suppliers wants to streamline its supply chain logistics – all the components, materials and services necessary to run its manufacturing operations. The organization plans to use Power BI to monitor key supply chain performance metrics by building a BI portal its employees and partners can access.

Previously the automaker would have needed to create duplicate identities for users belonging to partner organizations, requiring those users to remember multiple sets of credentials, and creating challenges for governance enforcement and identity management. Alternatively, the automaker could have invested the time and cost of building an app with Power BI Embedded that employs custom authentication.

In this instance Power BI’s integration with Azure AD B2B enables seamless, secure access for guest users from partner organizations – the automaker can create a Power BI app in the service, invite guest users, and distribute the BI content to them to access by authenticating via their organization’s Azure AD credentials.

External users can be licensed to receive BI content in two ways – either the content is allocated to Power BI Premium capacity, or the external user is assigned a Power BI Pro license. And in the instance of the external user being assigned a Power BI Pro license, this can be done by either the external user’s administrator or, as a new capability, by the sharing organization’s administrator.

Power BI integration with Azure AD B2B provides the peace of mind organizations can employ trusted Azure AD authorization policies to protect their data, including conditional access policies and risk-based authentication. Admins are also able to set policies for external B2B invites, such as the ability to turn off or restrict the ability for users to send invitations.

Next steps:

  • AAD B2B with Power BI is available starting today.  Read the documentation and try inviting an external user now!
  • For more information and a step-by-step guide to distributing BI content with Power BI and Azure AD B2B read this whitepaper. Also visit Azure documentation for more information on Azure AD B2B.

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Microsoft Power BI Blog | Microsoft Power BI

Explaining Your Dynamics 365 Job to Family this Holiday Season

Holiday Season 300x225 Explaining Your Dynamics 365 Job to Family this Holiday Season

It’s that wonderful time of year again. Holiday lights, turkeys and hams, cranberries, and oh – super awkward conversations with family members. We care about your success with Dynamics 365 – including its interaction with your family. That’s why today’s blog is all about how to explain your job as a Dynamics 365 expert to your family members – including those who still think upgrading Windows® means remodeling your home. Of course, Dynamics 365 is all about customized experiences, so we’re providing a solution for each conversation.

Mom and Dad

Your parents want to be proud of you; help them out with some bragging sound bites. Explain to them that you work with the cool Microsoft product called Dynamics 365. It tracks all kinds of data so that your company can make everyone’s life easier. As a Dynamics 365 expert for your business, you are loved by everyone. Operations loves you because you helped them reduce expenses by making the business more efficient. Marketing loves you because they want to marketing to people that need your services, and you helped them identify the right people. Sales loves you because you helped them connect with lots of people who love your company, and everyone else – especially your company’s leadership – loves you because you’re making the company better. Your parents will still find more ways to tell people how amazing you are, but at least it’s a start!

Grandpa

In the good old days, a pen a paper was all I needed to make my company run smoothly. Sounds like you’re just making things more complicated than you need to with your Tweeter machines and your Facepages,” he’ll say. However, you’ll wow him when you explain that you agree – you love
the Rolodex! That’s why you love your job. You basically get to help people create and use a Rolodex to help them do their job better. Why is that? Dynamics 365 is all about customization. “Don’t you just hate when those telemarketers call during dinnertime, Grandpa? Me too. I help my Sales team learn who actually wants to be contacted and how so they can stop annoying those of us who don’t want dinner interrupted.” You’ll win major bonus points with that one!

The Kid’s Table

Kids understand how technology works better than many **cough** most **cough** adults. However, from Finance and Operations to Customer Engagement, the end-to-end Dynamics 365 platform is a lot to take in – even for those working with it every day. Simplify it. Tell the kids table you work with a computer program that helps people make smart choices.

The Skeptical Uncle

No, corporations aren’t trying to control you, but that’s not going to stop your uncle from saying they are. Dynamics 365 isn’t about mind-control; it’s about options. Explain to the skeptical uncle that if you’re buying a car, you want a choice. You want colors, makes, models – and you definitely want the Sales person to schmooze you (unless you prefer shopping online). You don’t want the Salesperson pushing a gas guzzler when you’re looking for an economy car. Well, Dynamics 365 experts help companies provide these options. It uses the information you choose to share to help the Salesperson know exactly what options the customer wants, rather than the Salesperson pitching the car that’s rusting away on their lot.

The Aunt Who Made the Turkey, Gravy, Mashed Potatoes, AND Stuffing

This aunt understands choices. Most people understand the food is amazing, but not everybody wants the gravy. Or maybe someone doesn’t want stuffing, but they want the turkey; they only want the mashed potatoes if they come with gravy on them. Dynamics 365 is a lot like this. The best companies understand Dynamics 365 is an incredible tool, but not all companies need all the workloads. Some only want help managing their operations. Dynamics 365 helps provide choices – even to companies wanting to use the product themselves!

We hope this helps you at the dinner table! Not enough to escape the family interrogations? You can always go hide and binge watch some of our PO TV videos!

Happy Dynamics 365’ing!

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PowerObjects- Bringing Focus to Dynamics CRM

Lufthansa Systems Cracks the Code on Embedded BI

lufthansa blog Lufthansa Systems Cracks the Code on Embedded BI

Formed as a spin-off of Lufthansa Airline Solutions, Lufthansa Systems GmbH & Co. KG is one of the world’s leading providers of IT services in the airline industry. It supports its customers both within and outside the Lufthansa Group with consulting services and the experience it has gained in projects for airlines of every size and business model.

“Smoothing the passenger experience is one of the main goals that all our customers are seeking,” says Arpad Csordas, senior architect. “Since we have so many customers and more than 100 products in different lifecycles, we had all kinds of reporting. If we are not keeping up with trends and competitors, we will be out of the business.”

After evaluating several BI tools, building several pilot projects, and lobbying colleagues to vote for the reporting project, Lufthansa adopted TIBCO Jaspersoft. “There is no one-size-fits-all analytics for every situation. That was why we looked for a solution for special use cases, and Jaspersoft was just right,” says Csordas.

Learn about some of the difficult problems Jaspersoft has solved for Lufthansa.

Join the TIBCO customer reference program to have your business transformation story shared globally with the technology industry, and trade and business press. Your story in print, web, and video format can boost your status as a thought leader and increase awareness with technology leaders, helping you raise your company visibility and attract and retain top talent. Email customermarketing@tibco.com today!

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Driver Seat Shock

0 Driver Seat Shock

Beware the mechanically inclined prankster.

Ran a wire from coil of truck to seat when he tried to start it shocked him

Prank guy gets shocked by plug wire

August 20, 2012

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Quipster

Relevance Search – Additional Filtering Using Facets and Filters

Additional Filtering 300x225 Relevance Search – Additional Filtering Using Facets and Filters

Relevance Search distributes a search in a single result list and sorts it by relevance based on a scoring concept. One key thing to know is that the higher the score, the more relevant the item.

Relevance Search can:

• Find matches to any word in the search phrase. Matches include various forms of the search word for example, “service,” will match to “servicing,” or “serviced”

• Search for text in emails and notes

• Search records that you own as well as those that have been shared with you

• Search for text in an Option Set and Lookup field

• Search for text in SharePoint integrated documents (scheduled to be included in the next Dynamics 365 update)

• Search for text within Documents in Dynamics 365. These include documents in a Note, Attachments, Email, and Appointments.

As you can see, the Relevance Search can do many great things but it can also result in millions of matches depending on the size of your organization. Luckily, for us, Microsoft has thought about that and included a feature called Facets and Filters. We get additional filtering by Record Type, Owner, Modified Date, and Created Date to personalize search experience.

Additional Filtering using Facets and Filters

Global Facets: You can refine your search results to Record Type, Owner, Created On, or Modified On. In this example below, I filtered the search results to only show records for a specific “Owner.”

111617 2201 RelevanceSe1 Relevance Search – Additional Filtering Using Facets and Filters

Entity Specific Facets: When you click on a specific record type, additional facets appear. These facets are specific to the fields of the Record Type/Entity. System Administrators and System Customizers can configure which fields are available for faceting through the entity’s Quick Find view. In the example, clicking on Cases gave me two additional facets: Priority and Origin.

111617 2201 RelevanceSe2 Relevance Search – Additional Filtering Using Facets and Filters

End user configuration: End users can also personalize their search experience by configuring the facet fields that they would like to see for any searchable entity.

111617 2201 RelevanceSe3 Relevance Search – Additional Filtering Using Facets and Filters

111617 2201 RelevanceSe4 Relevance Search – Additional Filtering Using Facets and Filters

Now that you have learned how to narrow your search results you will get results that are more relevant to your needs, making it easier to find what you are looking for.

Keep up with the latest and greatest on Dynamics 365 by subscribing to our blog here!

Happy Dynamics 365’ing!

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PowerObjects- Bringing Focus to Dynamics CRM

Released: Microsoft Kerberos Configuration Manager for SQL Server 4.0

We are pleased to announce the latest generally-available (GA) of Microsoft Kerberos Configuration Manager for SQL Server.

Get it here:Download Microsoft Kerberos Configuration Manager for SQL Server

Why Kerberos?

Kerberos authentication provides a highly secure method to authenticate client and server entities (security principals) on a network. To use Kerberos authentication with SQL Server, a Service Principal Name (SPN) must be registered with Active Directory, which plays the role of the Key Distribution Center in a Windows domain. In addition, many customers also enable delegation for multi-tier applications using SQL Server. In such a setup, it may be difficult to troubleshoot the connectivity problems with SQL Server when Kerberos authentication fails.

Here are some additional reading materials for your reference.

Why use this tool?

The Kerberos Configuration Manager for SQL Server is a diagnostic tool that helps troubleshoot Kerberos related connectivity issues with SQL Server, SQL Server Reporting Services, and SQL Server Analysis Services. It can perform the following functions:

  • Gather information on OS and Microsoft SQL Server instances installed on a server.
  • Report on all SPN and delegation configurations and Always On Availability Group Listeners installed on a server.
  • Identify potential problems in SPNs and delegations.
  • Fix potential SPN problems.

This release (v4.0) adds support for Always On Availability Group Listeners.

Notes
  • Microsoft Kerberos Configuration Manager for SQL Server requires a user with permission to connect to the WMI service on any machine its connecting to. For more information, refer to Securing a Remote WMI Connection.
  • For Always On Availability Group Listeners discovery, run this tool from the owner node.
  • Also, if needed for troubleshooting, the Kerberos Configuration Manager for SQL Server creates a log file in %AppData%\Microsoft\KerberosConfigMgr.

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SQL Server Release Services

Belong partners with American Cancer Society to help beat cancer with AI

 Belong partners with American Cancer Society to help beat cancer with AI

In the battle against cancer, access to high-quality information, data, and assistance are invaluable.

Today, Belong: Beating Cancer Together — whose app connects patients to public and private chats with doctors and professionals — has announced a partnership with the American Cancer Society. The partnership adds a closed forum for American Cancer Society members, allowing them access to its online patient-doctor community.

Belong isn’t just an app that connects people. It is also using AI and machine learning, combined with big data, to help provide patients with personalized information, education, and assistance.

“Belong is applying state of the art machine learning, AI, and NLP technologies to develop one of the world’s most powerful real-world patient-generated data lakes,” Eliran Malki, CEO and cofounder at Belong, told VentureBeat in an interview. “This is disruptive due to both the unprecedented quality of the real-world data it generates and its longitudinal nature. We also use patent-pending d-PRO (digital Patient Reported Outcome) features and other methodologies to build this data lake.”

Of course, Belong’s application of AI doesn’t end at creating a data repository. The organization is using cognitive computing technologies to better understand what happens to patients as they fight their cancer.

“Belong applies machine learning, AI, and medical neural networks to our data lake to better understand patient profiles and patient journeys,” Malki said. “These allow us to (retrospectively) identify challenges, critical decision points and journey ‘bottlenecks’ cancer patients and their families face. We then communicate some of these crowdsourced insights to cancer patients on our platform.”

That’s important because the community, information, and insights on offer can help patients decide what to do next.

“Examples of crowdsourced insights can range from patients’ tips on how to cope with specific side effects to how choosing the right MRI machine can be relevant to diagnosis phases, what some of the warning signs to look out for are, and more,” Malki said.

This new relationship adds the American Cancer Society’s information, insights, and resources to the Belong network.

“The partnership with the ACS brings a new layer of engagement with the ACS’ range of valuable resources, which are now made available to patients through a bi-directional mobile-based communication platform,” Malki said. “So now all patients using Belong have direct access to the ACS’ resources, their information specialists, and other experts who do extraordinary work in both responding to patients and their families on the app and in providing targeted access to the ACS’ services and knowledge base.”

The American Cancer Society is leading a forum on the Belong platform, named “American Cancer Society4U.” Belong users will be able to read relevant information that connects them to resources, as well as contacting the American Cancer Society via the app.

So what’s next for Belong?

“Belong’s mission is to analyze the massive and information-rich real-world data and the patient and caregiver journeys that we generate and eventually use that to help advance science and cancer research toward finding better and more effective solutions for patients,” Malki said. “In other words, we aim to help scientists identify successful patient journeys, and on the other hand identify unsuccessful journeys that should be avoided.”

The Belong app is available for both Android and iOS via the company’s website.

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Big Data – VentureBeat

Why Digital Transformation Should Focus On Growth, Not Disruption

In the tech world in 2017, several trends emerged as signals amid the noise, signifying much larger changes to come.

As we noted in last year’s More Than Noise list, things are changing—and the changes are occurring in ways that don’t necessarily fit into the prevailing narrative.

While many of 2017’s signals have a dark tint to them, perhaps reflecting the times we live in, we have sought out some rays of light to illuminate the way forward. The following signals differ considerably, but understanding them can help guide businesses in the right direction for 2018 and beyond.

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When a team of psychologists, linguists, and software engineers created Woebot, an AI chatbot that helps people learn cognitive behavioral therapy techniques for managing mental health issues like anxiety and depression, they did something unusual, at least when it comes to chatbots: they submitted it for peer review.

Stanford University researchers recruited a sample group of 70 college-age participants on social media to take part in a randomized control study of Woebot. The researchers found that their creation was useful for improving anxiety and depression symptoms. A study of the user interaction with the bot was submitted for peer review and published in the Journal of Medical Internet Research Mental Health in June 2017.

While Woebot may not revolutionize the field of psychology, it could change the way we view AI development. Well-known figures such as Elon Musk and Bill Gates have expressed concerns that artificial intelligence is essentially ungovernable. Peer review, such as with the Stanford study, is one way to approach this challenge and figure out how to properly evaluate and find a place for these software programs.

The healthcare community could be onto something. We’ve already seen instances where AI chatbots have spun out of control, such as when internet trolls trained Microsoft’s Tay to become a hate-spewing misanthrope. Bots are only as good as their design; making sure they stay on message and don’t act in unexpected ways is crucial.

SAP Q417 DigitalDoubles Feature1 Image3 Why Digital Transformation Should Focus On Growth, Not DisruptionThis is especially true in healthcare. When chatbots are offering therapeutic services, they must be properly designed, vetted, and tested to maintain patient safety.

It may be prudent to apply the same level of caution to a business setting. By treating chatbots as if they’re akin to medicine or drugs, we have a model for thorough vetting that, while not perfect, is generally effective and time tested.

It may seem like overkill to think of chatbots that manage pizza orders or help resolve parking tickets as potential health threats. But it’s already clear that AI can have unintended side effects that could extend far beyond Tay’s loathsome behavior.

For example, in July, Facebook shut down an experiment where it challenged two AIs to negotiate with each other over a trade. When the experiment began, the two chatbots quickly went rogue, developing linguistic shortcuts to reduce negotiating time and leaving their creators unable to understand what they were saying.

The implications are chilling. Do we want AIs interacting in a secret language because designers didn’t fully understand what they were designing?

In this context, the healthcare community’s conservative approach doesn’t seem so farfetched. Woebot could ultimately become an example of the kind of oversight that’s needed for all AIs.

Meanwhile, it’s clear that chatbots have great potential in healthcare—not just for treating mental health issues but for helping patients understand symptoms, build treatment regimens, and more. They could also help unclog barriers to healthcare, which is plagued worldwide by high prices, long wait times, and other challenges. While they are not a substitute for actual humans, chatbots can be used by anyone with a computer or smartphone, 24 hours a day, seven days a week, regardless of financial status.

Finding the right governance for AI development won’t happen overnight. But peer review, extensive internal quality analysis, and other processes will go a long way to ensuring bots function as expected. Otherwise, companies and their customers could pay a big price.

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Elon Musk is an expert at dominating the news cycle with his sci-fi premonitions about space travel and high-speed hyperloops. However, he captured media attention in Australia in April 2017 for something much more down to earth: how to deal with blackouts and power outages.

In 2016, a massive blackout hit the state of South Australia following a storm. Although power was restored quickly in Adelaide, the capital, people in the wide stretches of arid desert that surround it spent days waiting for the power to return. That hit South Australia’s wine and livestock industries especially hard.

South Australia’s electrical grid currently gets more than half of its energy from wind and solar, with coal and gas plants acting as backups for when the sun hides or the wind doesn’t blow, according to ABC News Australia. But this network is vulnerable to sudden loss of generation—which is exactly what happened in the storm that caused the 2016 blackout, when tornadoes ripped through some key transmission lines. Getting the system back on stable footing has been an issue ever since.

Displaying his usual talent for showmanship, Musk stepped in and promised to build the world’s largest battery to store backup energy for the network—and he pledged to complete it within 100 days of signing the contract or the battery would be free. Pen met paper with South Australia and French utility Neoen in September. As of press time in November, construction was underway.

For South Australia, the Tesla deal offers an easy and secure way to store renewable energy. Tesla’s 129 MWh battery will be the most powerful battery system in the world by 60% once completed, according to Gizmodo. The battery, which is stationed at a wind farm, will cover temporary drops in wind power and kick in to help conventional gas and coal plants balance generation with demand across the network. South Australian citizens and politicians largely support the project, which Tesla claims will be able to power 30,000 homes.

Until Musk made his bold promise, batteries did not figure much in renewable energy networks, mostly because they just aren’t that good. They have limited charges, are difficult to build, and are difficult to manage. Utilities also worry about relying on the same lithium-ion battery technology as cellphone makers like Samsung, whose Galaxy Note 7 had to be recalled in 2016 after some defective batteries burst into flames, according to CNET.

SAP Q417 DigitalDoubles Feature1 Image5 Why Digital Transformation Should Focus On Growth, Not DisruptionHowever, when made right, the batteries are safe. It’s just that they’ve traditionally been too expensive for large-scale uses such as renewable power storage. But battery innovations such as Tesla’s could radically change how we power the economy. According to a study that appeared this year in Nature, the continued drop in the cost of battery storage has made renewable energy price-competitive with traditional fossil fuels.

This is a massive shift. Or, as David Roberts of news site Vox puts it, “Batteries are soon going to disrupt power markets at all scales.” Furthermore, if the cost of batteries continues to drop, supply chains could experience radical energy cost savings. This could disrupt energy utilities, manufacturing, transportation, and construction, to name just a few, and create many opportunities while changing established business models. (For more on how renewable energy will affect business, read the feature “Tick Tock” in this issue.)

Battery research and development has become big business. Thanks to electric cars and powerful smartphones, there has been incredible pressure to make more powerful batteries that last longer between charges.

The proof of this is in the R&D funding pudding. A Brookings Institution report notes that both the Chinese and U.S. governments offer generous subsidies for lithium-ion battery advancement. Automakers such as Daimler and BMW have established divisions marketing residential and commercial energy storage products. Boeing, Airbus, Rolls-Royce, and General Electric are all experimenting with various electric propulsion systems for aircraft—which means that hybrid airplanes are also a possibility.

Meanwhile, governments around the world are accelerating battery research investment by banning internal combustion vehicles. Britain, France, India, and Norway are seeking to go all electric as early as 2025 and by 2040 at the latest.

In the meantime, expect huge investment and new battery innovation from interested parties across industries that all share a stake in the outcome. This past September, for example, Volkswagen announced a €50 billion research investment in batteries to help bring 300 electric vehicle models to market by 2030.

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At first, it sounds like a narrative device from a science fiction novel or a particularly bad urban legend.

Powerful cameras in several Chinese cities capture photographs of jaywalkers as they cross the street and, several minutes later, display their photograph, name, and home address on a large screen posted at the intersection. Several days later, a summons appears in the offender’s mailbox demanding payment of a fine or fulfillment of community service.

As Orwellian as it seems, this technology is very real for residents of Jinan and several other Chinese cities. According to a Xinhua interview with Li Yong of the Jinan traffic police, “Since the new technology has been adopted, the cases of jaywalking have been reduced from 200 to 20 each day at the major intersection of Jingshi and Shungeng roads.”

The sophisticated cameras and facial recognition systems already used in China—and their near–real-time public shaming—are an example of how machine learning, mobile phone surveillance, and internet activity tracking are being used to censor and control populations. Most worryingly, the prospect of real-time surveillance makes running surveillance states such as the former East Germany and current North Korea much more financially efficient.

According to a 2015 discussion paper by the Institute for the Study of Labor, a German research center, by the 1980s almost 0.5% of the East German population was directly employed by the Stasi, the country’s state security service and secret police—1 for every 166 citizens. An additional 1.1% of the population (1 for every 66 citizens) were working as unofficial informers, which represented a massive economic drain. Automated, real-time, algorithm-driven monitoring could potentially drive the cost of controlling the population down substantially in police states—and elsewhere.

We could see a radical new era of censorship that is much more manipulative than anything that has come before. Previously, dissidents were identified when investigators manually combed through photos, read writings, or listened in on phone calls. Real-time algorithmic monitoring means that acts of perceived defiance can be identified and deleted in the moment and their perpetrators marked for swift judgment before they can make an impression on others.

SAP Q417 DigitalDoubles Feature1 Image7 Why Digital Transformation Should Focus On Growth, Not DisruptionBusinesses need to be aware of the wider trend toward real-time, automated censorship and how it might be used in both commercial and governmental settings. These tools can easily be used in countries with unstable political dynamics and could become a real concern for businesses that operate across borders. Businesses must learn to educate and protect employees when technology can censor and punish in real time.

Indeed, the technologies used for this kind of repression could be easily adapted from those that have already been developed for businesses. For instance, both Facebook and Google use near–real-time facial identification algorithms that automatically identify people in images uploaded by users—which helps the companies build out their social graphs and target users with profitable advertisements. Automated algorithms also flag Facebook posts that potentially violate the company’s terms of service.

China is already using these technologies to control its own people in ways that are largely hidden to outsiders.

According to a report by the University of Toronto’s Citizen Lab, the popular Chinese social network WeChat operates under a policy its authors call “One App, Two Systems.” Users with Chinese phone numbers are subjected to dynamic keyword censorship that changes depending on current events and whether a user is in a private chat or in a group. Depending on the political winds, users are blocked from accessing a range of websites that report critically on China through WeChat’s internal browser. Non-Chinese users, however, are not subject to any of these restrictions.

The censorship is also designed to be invisible. Messages are blocked without any user notification, and China has intermittently blocked WhatsApp and other foreign social networks. As a result, Chinese users are steered toward national social networks, which are more compliant with government pressure.

China’s policies play into a larger global trend: the nationalization of the internet. China, Russia, the European Union, and the United States have all adopted different approaches to censorship, user privacy, and surveillance. Although there are social networks such as WeChat or Russia’s VKontakte that are popular in primarily one country, nationalizing the internet challenges users of multinational services such as Facebook and YouTube. These different approaches, which impact everything from data safe harbor laws to legal consequences for posting inflammatory material, have implications for businesses working in multiple countries, as well.

For instance, Twitter is legally obligated to hide Nazi and neo-fascist imagery and some tweets in Germany and France—but not elsewhere. YouTube was officially banned in Turkey for two years because of videos a Turkish court deemed “insulting to the memory of Mustafa Kemal Atatürk,” father of modern Turkey. In Russia, Google must keep Russian users’ personal data on servers located inside Russia to comply with government policy.

While China is a pioneer in the field of instant censorship, tech companies in the United States are matching China’s progress, which could potentially have a chilling effect on democracy. In 2016, Apple applied for a patent on technology that censors audio streams in real time—automating the previously manual process of censoring curse words in streaming audio.

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In March, after U.S. President Donald Trump told Fox News, “I think maybe I wouldn’t be [president] if it wasn’t for Twitter,” Twitter founder Evan “Ev” Williams did something highly unusual for the creator of a massive social network.

He apologized.

Speaking with David Streitfeld of The New York Times, Williams said, “It’s a very bad thing, Twitter’s role in that. If it’s true that he wouldn’t be president if it weren’t for Twitter, then yeah, I’m sorry.”

Entrepreneurs tend to be very proud of their innovations. Williams, however, offers a far more ambivalent response to his creation’s success. Much of the 2016 presidential election’s rancor was fueled by Twitter, and the instant gratification of Twitter attracts trolls, bullies, and bigots just as easily as it attracts politicians, celebrities, comedians, and sports fans.

Services such as Twitter, Facebook, YouTube, and Instagram are designed through a mix of look and feel, algorithmic wizardry, and psychological techniques to hang on to users for as long as possible—which helps the services sell more advertisements and make more money. Toxic political discourse and online harassment are unintended side effects of the economic-driven urge to keep users engaged no matter what.

Keeping users’ eyeballs on their screens requires endless hours of multivariate testing, user research, and algorithm refinement. For instance, Casey Newton of tech publication The Verge notes that Google Brain, Google’s AI division, plays a key part in generating YouTube’s video recommendations.

According to Jim McFadden, the technical lead for YouTube recommendations, “Before, if I watch this video from a comedian, our recommendations were pretty good at saying, here’s another one just like it,” he told Newton. “But the Google Brain model figures out other comedians who are similar but not exactly the same—even more adjacent relationships. It’s able to see patterns that are less obvious.”

SAP Q417 DigitalDoubles Feature1 Image9 Why Digital Transformation Should Focus On Growth, Not DisruptionA never-ending flow of content that is interesting without being repetitive is harder to resist. With users glued to online services, addiction and other behavioral problems occur to an unhealthy degree. According to a 2016 poll by nonprofit research company Common Sense Media, 50% of American teenagers believe they are addicted to their smartphones.

This pattern is extending into the workplace. Seventy-five percent of companies told research company Harris Poll in 2016 that two or more hours a day are lost in productivity because employees are distracted. The number one reason? Cellphones and texting, according to 55% of those companies surveyed. Another 41% pointed to the internet.

Tristan Harris, a former design ethicist at Google, argues that many product designers for online services try to exploit psychological vulnerabilities in a bid to keep users engaged for longer periods. Harris refers to an iPhone as “a slot machine in my pocket” and argues that user interface (UI) and user experience (UX) designers need to adopt something akin to a Hippocratic Oath to stop exploiting users’ psychological vulnerabilities.

In fact, there is an entire school of study devoted to “dark UX”—small design tweaks to increase profits. These can be as innocuous as a “Buy Now” button in a visually pleasing color or as controversial as when Facebook tweaked its algorithm in 2012 to show a randomly selected group of almost 700,000 users (who had not given their permission) newsfeeds that skewed more positive to some users and more negative to others to gauge the impact on their respective emotional states, according to an article in Wired.

As computers, smartphones, and televisions come ever closer to convergence, these issues matter increasingly to businesses. Some of the universal side effects of addiction are lost productivity at work and poor health. Businesses should offer training and help for employees who can’t stop checking their smartphones.

Mindfulness-centered mobile apps such as Headspace, Calm, and Forest offer one way to break the habit. Users can also choose to break internet addiction by going for a walk, turning their computers off, or using tools like StayFocusd or Freedom to block addictive websites or apps.

Most importantly, companies in the business of creating tech products need to design software and hardware that discourages addictive behavior. This means avoiding bad designs that emphasize engagement metrics over human health. A world of advertising preroll showing up on smart refrigerator touchscreens at 2 a.m. benefits no one.

According to a 2014 study in Cyberpsychology, Behavior and Social Networking, approximately 6% of the world’s population suffers from internet addiction to one degree or another. As more users in emerging economies gain access to cheap data, smartphones, and laptops, that percentage will only increase. For businesses, getting a head start on stopping internet addiction will make employees happier and more productive. D!


About the Authors

Maurizio Cattaneo is Director, Delivery Execution, Energy, and Natural Resources, at SAP.

David Delaney is Global Vice President and Chief Medical Officer, SAP Health.

Volker Hildebrand is Global Vice President for SAP Hybris solutions.

Neal Ungerleider is a Los Angeles-based technology journalist and consultant.


Read more thought provoking articles in the latest issue of the Digitalist Magazine, Executive Quarterly.

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Digitalist Magazine

“Der Struwwelpeter“ or “Shockhead Peter“ was a 1845 children’s…

“Der Struwwelpeter“ or “Shockhead Peter“ was a 1845 children’s book by
Heinrich Hoffmann.  It was one of the first books to feature progressive images with text, making it a fore-runner to comic books.

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A Historian Walks into a Bar . . .

New eBook! IT Operations Checklist for z/OS Mainframes

For decades, monitoring the overall health of IT components running on the IBM z/OS mainframe has been relegated to vendors specializing in real-time monitoring of performance and availability. While they provide deep analysis into the individual technology silos, there’s still a gap in the overall approach to providing an integrated and holistic view of IT operations within the mainframe environment.

For a comprehensive start to ensuring the health, availability, and security of your z/OS mainframe systems, download our new eBook IT Operations Checklist for z/OS Mainframe.

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Explore how new technologies have emerged that enable you to capture mainframe information and quickly move it to an open-system based analytics platform to be integrated, correlated, analyzed, and visualized.

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