Top 10 News/Blog Sites for Big Data

Jen Cohen Crompton

As we continue to serve as a resource for business innovation information, we compiled a list of the Top 10 News/Blog sites featuring information about Big Data in addition to our Top 50 #BigData Twitter Influencers. These sources were compiled using specific search terms, Alexa rankings, site information, and relevancy to the topic.

1. Forrester Big Data Blog
Overview: An aggregation of blogs from company contributors focusing on Big Data topics.

About Forrester (from their site) – Forrester is a global research and advisory firm and serves professionals in 19 key roles across three distinct client groups. Their clients face progressively complex business and technology decisions every day. To help them understand, strategize, and act upon opportunities brought by change, Forrester provides proprietary research, consumer and business data, custom consulting, events and online communities, and peer-to-peer executive programs. Forrester guides leaders in IT, marketing and strategy, and the technology industry through independent fact-based insight, ensuring business success today and tomorrow. www.forrester.com

2. Smarter Computing Big Data Blog
Overview: A compilation of contributors blogging about Big Data and Cloud topics. Each week the top reads in BigData is posted, which lists and links back to top articles.

About Smarter Computing Blog (from their site) – The blog is intended to provide readers with thought-provoking content and a place to talk about the issues raised within the content. Smarter Computing Blog feels strongly that the blog is not going to deliver final answers to the issues raised, but will represent a starting point for conversation around the issues.

3. GigaOm
Overview:GigaOm features news articles about Big Data, Analytics and Mobile. It’s a great place to read recent tech news stories and updates on hot topics.

About GigaOm (from their site) – Founded in 2006, GigaOM is now the leading provider of online media, events and research for global technology innovators. The company is one of the most credible and insightful voices at the intersection of business and technology, with an online audience of more than 4.5 million monthly unique visitors; industry-leading events, including Structure, Mobilize, GigaOM RoadMap, and Structure: Data; and a pioneering market research service and digital community, GigaOM Pro, which provides expert analysis and research on emerging technology markets.

4. Greenplum.com
Overview: Greenplum provides a section within the site with aggregated blog posts and news focused on Analytics, Big Data, Data Scientists, Data Warehousing and Hadoop. It pulls information directly from Forbes, The New York Times, Wall Street Journal, and Information Week.

About Greenplum (from their site) – Greenplum, a division of EMC (acquired by EMC in July 2010, becoming the foundation of EMC’s Big Data Division), is driving the future of Big Data analytics with breakthrough products that harness the skills of data science teams to help global organizations realize the full promise of business agility and become data-driven, predictive enterprises.

5. Data Stories
Overview: A bi-weekly podcast on data visualization with with Enrico Bertini and Moritz Stefaner (two Big Data industry influencers). Each podcast post provides a breakdown of the content by time and relevant resource links.

6. Data Round Table
Overview: A community of Big Data and data experts discussing data quality, data integration, MDM, data governance, and data migration. This is a nice compilation of various perspectives.

About Data RoundTable (from the site) – The Data Roundtable is a forum where industry thought leaders come together to share the spotlight and discuss data management topics. Each day you’ll find a new post about something relevant and thought-provoking, from news on federal regulations to pop-culture commentaries on how data management relates to Seinfeld. There’s no agenda – just ideas.

7. ZDNet
Overview: This blog features Andrew Brust discussing Big Data, Hadoop, NoSQL and the mystical discipline of data science.

8. The Data Warehouse Insider
Overview: Technical details, ideas and news on data warehousing and Big Data from the Oracle Team.

9. Planet BigData
Overview: Planet BigData is an aggregator of worldwide blogs about Big Data, Hadoop, and related topics.

10. Dataversity
Overview (from their site): DATAVERSITY™ provides resources for information technology (IT) professionals, executives and business managers to learn about the uses and management of Big Data.  The worldwide community of practitioners, advisers and customers participates in, and benefits from, DATAVERSITY’s educational conferences, discussions, articles, blogs, webinars, certification, news feeds and more.

Disclosure: I am being compensated by SAP to produce a series of posts on the innovation topics covered on this site. The opinions reflected here are my own.

Interested in using big data to improve organizational decision making? Join us in New York City for the SAP Innovation Forum, September 12th, 2013. Register here!

Comments

About Jen Cohen Crompton

Jen Cohen Crompton is a SAP Blogging Correspondent reporting on big data, cloud computing, enterprise mobility, analytics, sports and tech, and anything else innovation-related. When she's not blogging, she can be caught marketing, using social media and/or presenting at conferences around the world. Disclosure: Jen is being compensated by SAP to produce a series of articles on the innovation topics covered on this site. The opinions reflected here are her own.

Why Digital Transformation Should Focus On Growth, Not Disruption

Derek Klobucher

Digital transformation is often impressive, but it doesn’t have to disrupt an entire industry. Growing your business with the right technologies can create a huge competitive advantage—and even a barrier to entry for would-be competitors.

Disrupting industries was relatively easy for companies such as Uber and Airbnb because they started with a blank slate, according to Mike Flannagan, senior vice president of SAP Leonardo Data and Analytics.

“They weren’t protecting a long history of business and a reputation,” Flannagan said at SAP Leonardo Live in Chicago on Thursday. “I feel like it’s a little bit disingenuous for me to stand here and say that that’s what most of us deal with on a day-to-day basis.”

Most existing companies’ digital journeys involve less transformation and innovation—and more process improvement and efficiency, according to Flannagan. Big projects often aim to make customers happier and cut costs—and they could even make you immune to disruption.

Trying to capture the spirit of the thing

The National Hockey League in North America puts enormous effort into nurturing relationships with its already feverishly devoted fans.

“That might not sound like innovation, but they do a lot of very innovative things in thinking about how to keep those fans engaged,” Flannagain said. “They think about it as improving a process that they’ve been working on for a very long time.”

Citing sports statistics is like a shared language within a tribe, and the NHL has really elevated its game in that arena. (See what I did there?) Since launching a stats section on its website, the NHL seen a 25 percent jump in visits— and engagement time shot up 45 percent.

“Statistics don’t have to be tedious, static numbers in columns,” NHL director of digital business development Chris Foster said. “If presented in exciting ways, they can be very powerful attractions to fans.”

Changing how workers drive their trucks may not seem like digital transformation either. But optimizing directions and turns made a tremendous difference for global package delivery company UPS.

Saving millions

“UPS has used advanced analytics to figure out the best routes for their drivers to take,” Flannagan said. “In doing so, they’ve shaved off 85 million miles a year … and [discovered] much more efficient routes.”

Internet of Things sensors also helped UPS cut idle times between when a driver would leave the truck to deliver a parcel, and then return to the vehicle. This, in turn, addressed fuel efficiency, wear-and-tear and environmental impact concerns.

“So UPS put some pretty simple sensors in their trucks to figure out when the driver gets out of the truck and goes to deliver a package, and they turn the engine off,” Flannagan said. “And in doing so they’ve reduced 100 million idle minutes a year in their trucks.”

A “ruthlessly efficient” competitive advantage

UPS didn’t undertake these projects—or implement these changes—for the sake of digital transformation or innovation; it did so to save money and improve efficiency, according to Flannagan. Along the way, UPS created a real cost-competitive advantage for itself.

“If you and I decided tomorrow that we wanted to go start the next UPS, we would have to figure out how to do something that is largely a commoditized business—at a lower price point than UPS can do it,” Flannagan said. “And they’ve become so ruthlessly efficient in the way that they optimize their costs through these couple of activities that it would be very tough for us to jump into their business and take customers away.”

So digital transformation can be about gaining that edge, doing something better than the competition—at a lower price point—according to Flannagan. And it’s something that excites customers more than anyone else.

“And if it creates a barrier to entry for people who want to come in and disrupt me—that’s innovation,” Flannagan said. “I think [the NHL and UPS] are examples of innovation that probably are a little bit closer for most of us.”

Meet your ambitions

“Digital transformation, as a strategy, is rarely an end in itself,” SAP chief commercial officer Franck Cohen said at SAP Leonardo Live on Thursday. “Rather, it’s a way to meet other strategic objectives, whether it’s business growth, more agile operational models or a better customer experience.”

But a lot of companies are lagging. For example, only 10 percent of procurement companies demonstrate digital leadership, according to an Accenture study this year. And only 5 percent of those leaders (0.005 percent of the total) employed disruptive digital technology, such as analytics, social media and sensors, to transform their performance management, specifications and more.

“Without digital transformation, they will struggle to meet their growth ambitions,” Cohen said. “They need new digital products, new digital services and the new business model in order to match their growth ambitions.”

This story originally appeared on SAP’s Business Trends. Follow me on Twitter@DKlobucher

Comments

About Derek Klobucher

Derek Klobucher is a Brand Journalist, Content Marketer and Master Digital Storyteller at SAP. His responsibilities include conceiving, developing and conducting global, company-wide employee brand journalism training; managing content, promotion and strategy for social networks and online media; and mentoring SAP employees, contractors and interns to optimize blogging and social media efforts.

Connected Cars, Autonomous Vehicles, And The IoT

Tom Raftery

Part 2 of the “Future of Transportation and the Internet of Things” series

In my last blog, I talked about the simplicity of the electric engine compared to the internal combustion engine and how this changes everything. From climate to the structure of the auto industry to the way we store, manage, and distribute energy, electric cars are having tremendous impact.

But what I left out of that discussion was the Internet of Things.

Predictive

The fact is, most electric cars are connected cars – connected through the Internet of Things. This means that sensors in the car constantly communicate with mission control (the manufacturer), sending data on the status of components in real time.

By analyzing this data, especially in context of historical data, mission control can predict component failure before it happens. For electric vehicles – with engines that already need far less repair than traditional internal combustion engines – this only increases reliability.

But what’s more, IoT-connected cars also increase convenience. For example, after realizing component failure is imminent, your car could also trigger a work order at the dealership to resolve the issue – and ensure the needed replacement part is in stock when you roll in. And if the car is autonomous, it could drive itself to be repaired while you are at work and return ready to drive you home once the repair is completed. Speaking of autonomous….

Autonomous and safe

Connectedness is also what makes autonomous vehicles possible. And while some people may distrust driverless cars, the data shows that they’re safer than the self-driven sort – at least according to a report of the U.S. National Highway Traffic Safety Administration (NHTSA).

Back in May 2016, a Tesla Model S sedan in autopilot collided with a semi-truck in Florida, killing the driver (or passenger in this case?), 40-year-old Joshua Brown. The car, apparently, crashed into the truck, passed under the trailer, and kept driving for some distance – only coming to a stop after crashing through two fences and into a pole.

As a result of this incident, NHTSA conducted an investigation resulting in a report that largely exonerated Tesla. In fact, the report says that after the introduction of autosteer – a component of the autopilot system – Tesla’s crash rate dropped by 40%.

Self-learning

The accident in question happened when the semi-truck took a left-hand turn into oncoming traffic. The reason the Tesla did not detect such a large object in its path is because it could not distinguish the white color of the trailer from the bright, white Florida sky in the background.

Reportedly, Tesla has since analyzed the crash data from this accident, identified the problem, and made fixes to the operating system on which its fleet operates. Perhaps it’s premature to declare the problem solved – but the idea at play here is an interesting one when considering the potential for connected cars and the IoT.

What this scenario shows is a learning platform in action. Because all of its cars are connected on a single platform, Tesla has access to a tremendous amount of driver data that it can analyze to continuously improve product safety. I don’t know exactly how the analysis proceeded in this particular case, but one can certainly envision the use of machine learning technology to continuously analyze patterns and introduce safety improvements on the fly, making the self-learning platform a reality.

Disruptive

A future in which autonomous vehicles are not only viable but safer than self-driven cars will result in disruptions beyond those I’ve indicated for electric engines.

Take the insurance industry, for example. With fewer accidents comes lower risk – leading to lower insurance premiums. And in a future where most cars on the road are autonomous – connected and controlled via IoT – the insurable entity will likely shift from the driver (who is now a passenger) to the operator of the network (presumably the manufacturer). Certainly, if you decide you wish to drive your car yourself, your insurance will be significantly more expensive than the insurance for an autonomous vehicle.

Of course, if autonomous cars can get where they’re going without a driver, why even bother owning a car? Why not just call up the ride when you need it, Uber style?

One result would be optimal asset utilization, where cars that are far less likely to break down can be used on an almost 24×7 basis by spreading usage across individuals. This would mean we’d need far fewer cars on the road, which would alleviate congestion. It would also hit the auto industry with dramatically lower sales volume.

And with fewer cars on the road – cars that are in use almost all the time – we’d have less use for parking. This would have tremendous impact on an industry that generates approximately $20 billion annually.

Beyond industry disruption, less need for parking would open up tremendous urban space in the form of unused lots and garages. Maybe this would mean more populous cities with room to build for more people to live more comfortably without traffic congestion. Or how about using some of the space for indoor vertical farming using hydroponics technology and LED lights to grow more food and feed more people? Of course, this is already happening. But that’s a blog for another time.

To meet the market’s expectations for increasingly fast, responsive, and personalized service, speed of business will be everything. Find out how innovative processes can enable your business to remain successful in this evolving landscape. Learn more and download the IDC paper “Realizing IoT’s Value – Connecting Things to People and Processes.”

Comments

About Tom Raftery

Tom Raftery is VP and Global Internet of Things Evangelist for SAP. Previously Tom worked as an independent analyst focussing on the Internet of Things, Energy and CleanTech. Tom has a very strong background in social media, is the former co-founder of a software firm and is co-founder and director of hyper energy-efficient data center Cork Internet eXchange. More recently, Tom worked as an Industry Analyst for RedMonk, leading their GreenMonk practice for 7 years.

More Than Noise: Digital Trends That Are Bigger Than You Think

By Maurizio Cattaneo, David Delaney, Volker Hildebrand, and Neal Ungerleider

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.

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.

This 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.

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

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.

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.

However, 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.

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.

Businesses 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.

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.”

A 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.

Comments

Tags:

Death Of An IT Salesman

Jesper Schleimann

As software shifts from supporting the strategy to becoming the strategy of most companies, the relationship and even the sales process between the vendor side and the customer side in the IT industry is subsequently also undergoing some remarkable changes. The traditional IT salesman is an endangered species.

I recently had the pleasure of participating in a workshop with one of Scandinavia’s largest companies to create new business models in the company’s operations business area. As an IT vendor, we worked with the customer in an open process using the design thinking methodology—a creative process in which we jointly visualized, defined, and solidified how new flows of data can change business processes and their business models.

By working with “personas” relevant to their business, we could better understand how technology can help different roles in the involved departments deliver their contributions faster and more efficiently. The scope was completely open. We put our knowledge and experience with technological opportunities in parallel with the company’s own knowledge of the market, processes, and business.

The results may trigger a sale of software from our side at a point, but we do not know exactly which solution—or even if it will happen. What we did do was innovate together and better understand our customer’s future and viable routes to success. Such is the reality of the strategic work of digitizing here on the verge of year 2018.

Solution selling is not enough

In my view, the transgressive nature of technology is radically changing the way businesses and the sales process works. The IT industry—at least parts of it—must focus on completely different types of collaboration with the customer.

Historically, the sales process has already realized major changes. In the past, you’d find a product-fixated “used-car-sales” approach, which identified the characteristics of the box or solution and left it to the customer to find the hole in the cheese. Since then, a generation of IT key account managers learned “solution selling,” with a sharp focus on finding and defining a “pain point” at the customer and then position the solution against this. But today, even that approach falls short.

Endangered species

The challenge is that software solutions now support the formation of new, yet unknown business models. They transverse processes and do not respect silo borders within organizations. Consequently, businesses struggle to define a clear operational road. Top management faces a much broader search of potential for innovation. The creation of a compelling vision itself requires a continuous and comprehensive study of what digitization can do for the value chain and for the company’s ecosystem.

Vendors abandon their customers if they are too busy selling different tools and platforms without entering into a committed partnership to create the new business model. Therefore, the traditional IT salesperson, preoccupied with their own goals, is becoming an endangered species. The customer-driven process requires even key account managers to dig deep and endeavor to understand the customer’s business. The best in the IT industry will move closer to the role of trusted adviser, mastering the required capabilities and accepting the risks and rewards that follow.

Leaving the comfort zone

This obviously has major consequences for the sales culture in the IT industry. Reward mechanisms and incentive structures need to be reconsidered toward a more behavioral incentive. And the individual IT salesperson is going on a personal journey, as the end goal is no longer to close an order, but to create visions and deliver value in partnership with the customer and to do so in an ever-changing context, where the future is volatile and unpredictable.

A key account manager is the customer’s traveling companion. Do not expect to be able to reduce complexity and stay in your comfort zone and not be affected by this change. Vendors should think bigger, and as an IT salesperson, you need to show your ability for transformational thinking. Everyone must be prepared to take the first baby steps, but there will definitely also be some who cannot handle the change. Disruption is not just something you, as a vendor, deliver to a customer. The noble art of being a digital vendor is facing some serious earthquakes.

For more on how tech innovation is disrupting traditional business models, see Why You Should Consider Disrupting Your Own Business.

Comments

Jesper Schleimann

About Jesper Schleimann

Chief Technology Officer, Nordic & Baltic region In his role as Nordic CTO, Jesper's mission is to help customers unlock their business potential by simplifying their digital transformation. Jesper has a Cand.polit. from the University of Copenhagen as well as an Executive MBA from Copenhagen Business School.