How In-Memory Computing Could Transform Airlines: First, The Cockpit

Christopher Koch

View of the cockpit of European aircraft manuf...

View of the cockpit of European aircraft manufacturer Airbus’ A380, the world’s largest double-deck jet airliner (Image credit: AFP/Getty Images via @daylife).

In-memory computing sometimes seems like one of those overeager parking valets who literally sprints to the lot to get your car.

Yeah, in-memory is fast. Yeah, it puts lots of data idling at the curb, just waiting to be churned. But what’s the big rush on the big data?

That question has led me on a hunt for stories of how in-memory computing can do more than make data analysis faster. I want to see business  transformation, okay?

The first story I have for you is in airlines.

Airlines Can’t Prepare for the Unexpected

It turns out that airlines are essentially flying blind when it comes to keeping their expensive planes in the air. Inefficient Maintenance, Repair, and Overhaul (MRO) operations cause frustrating flight delays and safety hazards–not to mention wasted fuel and pollution.

I’ve been working with freelance technology journalist Stephanie Overby to interview three of SAP‘s airline industry experts: Wolfgang Ullwer, Sameer Deshpande, Phil Te Hau and Willem Gouws.

What they’ve told us is quite scary: Most airlines aren’t prepared to deal with the unexpected.

Big Data in Real Time Would Help

That’s because airlines use overnight batch processing to track MRO. That works for routine maintenance, but does little to address issues such as an unforeseen engine fault, or a tire that wears out prematurely. And it does nothing to help airlines predict when problems are likely to occur so that they can be fixed before anything bad happens.

The 40-Pound Bag of Problems

Bringing predictive analytics to aircraft maintenance won’t be easy, of course (I go into the challenges in more detail inthis post on the SAP Forbes blog). But there are some glimmers of hope appearing. I’ll be writing about them in a series of posts on this topic.

The first reason for hope is in the cockpit. For years, crews have lugged around a 40-pound case of documentation known as the flight bag. The flight bags contain that arch enemy of data analysis: unstructured data in the form of a pilot’s handwritten logbook entries, navigational charts, equipment manuals, and weather and radar maps. It is a terrible jumble of paper (you don’t want to know how many minutes you’ve lost the gate due to a few missing briefing papers). When the first electronic flight bags (EFBs)–ruggedized laptops–were introduced, they cost thousands of dollars, offered limited functionality, and did little to lighten the load.

The iPad Takes Flight

Then along came the iPad. (I know, it’s getting a little tiresome hearing about how wonderful the iPad is all the time–but it’s true.) Now that the U.S. Federal Aviation Administration has granted American Airlines the first approval to use iPads in all phases of flight (sorry, passengers, you’ll still have to keep yours stowed during take off and landing) its pilots can use them full-time, putting away the leather bag and paper documentation for good. (Hard copies of the airworthiness certificate and aircraft registration are still required.)

The tablets bring much-needed simplicity to the cockpit. For example, one click-update management for manuals and charts and the potential to cross-check critical flight data increase both efficiency and safety.

The Critical Link to the Ground

Yet what’s always been missing from the flight bag–even the electronic ones–is a link to what’s happening on the ground. By connecting tablets to enterprise systems, the cockpit could become another always-on node on the airline’s information network, sending back reams of data for real-time analysis. An airline maintenance engineer could access the latest from the pilot’s logbook while he goes about the business of getting us from here to there, planning work orders for quicker turnaround of that plane. Prognostics performed on data exchanged between EFBs and enterprise systems could ultimately lead to fewer equipment failures and safer air travel.

Sounds like a good argument for in-memory to me. What do you think?

Thanks to our subject matter experts for contributing their thinking to this piece. Here are links to their LinkedIn bios if you want to learn more about them: Wolfgang Ullwer, Sameer Deshpande, Phil Te Hau, and Willem Gouws.

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About Christopher Koch

Christopher Koch is the Editorial Director of the SAP Center for Business Insight. He is an experienced publishing professional, researcher, editor, and writer in business, technology, and B2B marketing.

Share your thoughts with Chris on Twitter @Ckochster.

Data Analysts And Scientists More Important Than Ever For The Enterprise

Daniel Newman

The business world is now firmly in the age of data. Not that data wasn’t relevant before; it was just nowhere close to the speed and volume that’s available to us today. Businesses are buckling under the deluge of petabytes, exabytes, and zettabytes. Within these bytes lie valuable information on customer behavior, key business insights, and revenue generation. However, all that data is practically useless for businesses without the ability to identify the right data. Plus, if they don’t have the talent and resources to capture the right data, organize it, dissect it, draw actionable insights from it and, finally, deliver those insights in a meaningful way, their data initiatives will fail.

Rise of the CDO

Companies of all sizes can easily find themselves drowning in data generated from websites, landing pages, social streams, emails, text messages, and many other sources. Additionally, there is data in their own repositories. With so much data at their disposal, companies are under mounting pressure to utilize it to generate insights. These insights are critical because they can (and should) drive the overall business strategy and help companies make better business decisions. To leverage the power of data analytics, businesses need more “top-management muscle” specialized in the field of data science. This specialized field has lead to the creation of roles like Chief Data Officer (CDO).

In addition, with more companies undertaking digital transformations, there’s greater impetus for the C-suite to make data-driven decisions. The CDO helps make data-driven decisions and also develops a digital business strategy around those decisions. As data grows at an unstoppable rate, becoming an inseparable part of key business functions, we will see the CDO act as a bridge between other C-suite execs.

Data skills an emerging business necessity

So far, only large enterprises with bigger data mining and management needs maintain in-house solutions. These in-house teams and technologies handle the growing sets of diverse and dispersed data. Others work with third-party service providers to develop and execute their big data strategies.

As the amount of data grows, the need to mine it for insights becomes a key business requirement. For both large and small businesses, data-centric roles will experience endless upward mobility. These roles include data anlysts and scientists. There is going to be a huge opportunity for critical thinkers to turn their analytical skills into rapidly growing roles in the field of data science. In fact, data skills are now a prized qualification for titles like IT project managers and computer systems analysts.

Forbes cited the McKinsey Global Institute’s prediction that by 2018 there could be a massive shortage of data-skilled professionals. This indicates a disruption at the demand-supply level with the needs for data skills at an all-time high. With an increasing number of companies adopting big data strategies, salaries for data jobs are going through the roof. This is turning the position into a highly coveted one.

According to Harvard Professor Gary King, “There is a big data revolution. The big data revolution is that now we can do something with the data.” The big problem is that most enterprises don’t know what to do with data. Data professionals are helping businesses figure that out. So if you’re casting about for where to apply your skills and want to take advantage of one of the best career paths in the job market today, focus on data science.

I’m compensated by University of Phoenix for this blog. As always, all thoughts and opinions are my own.

For more insight on our increasingly connected future, see The $19 Trillion Question: Are You Undervaluing The Internet Of Things?

The post Data Analysts and Scientists More Important Than Ever For the Enterprise appeared first on Millennial CEO.

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About Daniel Newman

Daniel Newman serves as the Co-Founder and CEO of EC3, a quickly growing hosted IT and Communication service provider. Prior to this role Daniel has held several prominent leadership roles including serving as CEO of United Visual. Parent company to United Visual Systems, United Visual Productions, and United GlobalComm; a family of companies focused on Visual Communications and Audio Visual Technologies.
Daniel is also widely published and active in the Social Media Community. He is the Author of Amazon Best Selling Business Book “The Millennial CEO.” Daniel also Co-Founded the Global online Community 12 Most and was recognized by the Huffington Post as one of the 100 Business and Leadership Accounts to Follow on Twitter.
Newman is an Adjunct Professor of Management at North Central College. He attained his undergraduate degree in Marketing at Northern Illinois University and an Executive MBA from North Central College in Naperville, IL. Newman currently resides in Aurora, Illinois with his wife (Lisa) and his two daughters (Hailey 9, Avery 5).
A Chicago native all of his life, Newman is an avid golfer, a fitness fan, and a classically trained pianist

When Good Is Good Enough: Guiding Business Users On BI Practices

Ina Felsheim

Image_part2-300x200In Part One of this blog series, I talked about changing your IT culture to better support self-service BI and data discovery. Absolutely essential. However, your work is not done!

Self-service BI and data discovery will drive the number of users using the BI solutions to rapidly expand. Yet all of these more casual users will not be well versed in BI and visualization best practices.

When your user base rapidly expands to more casual users, you need to help educate them on what is important. For example, one IT manager told me that his casual BI users were making visualizations with very difficult-to-read charts and customizing color palettes to incredible degrees.

I had a similar experience when I was a technical writer. One of our lead writers was so concerned with readability of every sentence that he was going through the 300+ page manuals (yes, they were printed then) and manually adjusting all of the line breaks and page breaks. (!) Yes, readability was incrementally improved. But now any number of changes–technical capabilities, edits, inserting larger graphics—required re-adjusting all of those manual “optimizations.” The time it took just to do the additional optimization was incredible, much less the maintenance of these optimizations! Meanwhile, the technical writing team was falling behind on new deliverables.

The same scenario applies to your new casual BI users. This new group needs guidance to help them focus on the highest value practices:

  • Customization of color and appearance of visualizations: When is this customization necessary for a management deliverable, versus indulging an OCD tendency? I too have to stop myself from obsessing about the font, line spacing, and that a certain blue is just a bit different than another shade of blue. Yes, these options do matter. But help these casual users determine when that time is well spent.
  • Proper visualizations: When is a spinning 3D pie chart necessary to grab someone’s attention? BI professionals would firmly say “NEVER!” But these casual users do not have a lot of depth on BI best practices. Give them a few simple guidelines as to when “flash” needs to subsume understanding. Consider offering a monthly one-hour Lunch and Learn that shows them how to create impactful, polished visuals. Understanding if their visualizations are going to be viewed casually on the way to a meeting, or dissected at a laptop, also helps determine how much time to spend optimizing a visualization. No, you can’t just mandate that they all read Tufte.
  • Predictive: Provide advanced analytics capabilities like forecasting and regression directly in their casual BI tools. Using these capabilities will really help them wow their audience with substance instead of flash.
  • Feature requests: Make sure you understand the motivation and business value behind some of the casual users’ requests. These casual users are less likely to understand the implications of supporting specific requests across an enterprise, so make sure you are collaborating on use cases and priorities for substantive requests.

By working with your casual BI users on the above points, you will be able to collectively understand when the absolute exact request is critical (and supports good visualization practices), and when it is an “optimization” that may impact productivity. In many cases, “good” is good enough for the fast turnaround of data discovery.

Next week, I’ll wrap this series up with hints on getting your casual users to embrace the “we” not “me” mentality.

Read Part One of this series: Changing The IT Culture For Self-Service BI Success.

Follow me on Twitter: @InaSAP

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Why Strategic Plans Need Multiple Futures

By Dan Wellers, Kai Goerlich, and Stephanie Overby , Kai Goerlich and Stephanie Overby

When members of Lowe’s Innovation Labs first began talking with the home improvement retailer’s senior executives about how disruptive technologies would affect the future, the presentations were well received but nothing stuck.

“We’d give a really great presentation and everyone would say, ‘Great job,’ but nothing would really happen,” says Amanda Manna, head of narratives and partnerships for the lab.

The team realized that it needed to ditch the PowerPoints and try something radical. The team’s leader, Kyle Nel, is a behavioral scientist by training. He knows people are wired to receive new information best through stories. Sharing far-future concepts through narrative, he surmised, could unlock hidden potential to drive meaningful change.

So Nel hired science fiction writers to pen the future in comic book format, with characters and a narrative arc revealed pane by pane.

The first storyline, written several years before Oculus Rift became a household name, told the tale of a couple envisioning their kitchen renovation using virtual reality headsets. The comic might have been fun and fanciful, but its intent was deadly serious. It was a vision of a future in which Lowe’s might solve one of its long-standing struggles: the approximately US$70 billion left on the table when people are unable to start a home improvement project because they can’t envision what it will look like.

When the lab presented leaders with the first comic, “it was like a light bulb went on,” says Manna. “Not only did they immediately understand the value of the concept, they were convinced that if we didn’t build it, someone else would.”

Today, Lowe’s customers in select stores can use the HoloRoom How To virtual reality tool to learn basic DIY skills in an interactive and immersive environment.

Other comics followed and were greeted with similar enthusiasm—and investment, where possible. One tells the story of robots that help customers navigate stores. That comic spawned the LoweBot, which roamed the aisles of several Lowe’s stores during a pilot program in California and is being evaluated to determine next steps.

And the comic about tools that can be 3D-printed in space? Last year, Lowe’s partnered with Made in Space, which specializes in making 3D printers that can operate in zero gravity, to install the first commercial 3D printer in the International Space Station, where it was used to make tools and parts for astronauts.

The comics are the result of sending writers out on an open-ended assignment, armed with trends, market research, and other input, to envision what home improvement planning might look like in the future or what the experience of shopping will be in 10 years. The writers come back with several potential story ideas in a given area and work collaboratively with lab team members to refine it over time.

The process of working with writers and business partners to develop the comics helps the future strategy team at Lowe’s, working under chief development officer Richard D. Maltsbarger, to inhabit that future. They can imagine how it might play out, what obstacles might surface, and what steps the company would need to take to bring that future to life.

Once the final vision hits the page, the lab team can clearly envision how to work backward to enable the innovation. Importantly, the narrative is shared not only within the company but also out in the world. It serves as a kind of “bat signal” to potential technology partners with capabilities that might be required to make it happen, says Manna. “It’s all part of our strategy for staking a claim in the future.”

Planning must become completely oriented toward—and sourced from—the future.

Companies like Lowe’s are realizing that standard ways of planning for the future won’t get them where they need to go. The problem with traditional strategic planning is that the approach, which dates back to the 1950s and has remained largely unchanged since then, is based on the company’s existing mission, resources, core competencies, and competitors.

Yet the future rarely looks like the past. What’s more, digital technology is now driving change at exponential rates. Companies must be able to analyze and assess the potential impacts of the many variables at play, determine the possible futures they want to pursue, and develop the agility to pivot as conditions change along the way.

This is why planning must become completely oriented toward—and sourced from—the future, rather than from the past or the present. “Every winning strategy is based on a compelling insight, but most strategic planning originates in today’s marketplace, which means the resulting plans are constrained to incremental innovation,” says Bob Johansen, distinguished fellow at the Institute for the Future. “Most corporate strategists and CEOs are just inching their way to the future.” (Read more from Bob Johansen in the Thinkers story, “Fear Factor.”)

Inching forward won’t cut it anymore. Half of the S&P 500 organizations will be replaced over the next decade, according to research company Innosight. The reason? They can’t see the portfolio of possible futures, they can’t act on them, or both. Indeed, when SAP conducts future planning workshops with clients, we find that they usually struggle to look beyond current models and assumptions and lack clear ideas about how to work toward radically different futures.

Companies that want to increase their chances of long-term survival are incorporating three steps: envisioning, planning for, and executing on possible futures. And doing so all while the actual future is unfolding in expected and unexpected ways.

Those that pull it off are rewarded. A 2017 benchmarking report from the Strategic Foresight Research Network (SFRN) revealed that vigilant companies (those with the most mature processes for identifying, interpreting, and responding to factors that induce change) achieved 200% greater market capitalization growth and 33% higher profitability than the average, while the least mature companies experienced negative market-cap growth and had 44% lower profitability.

Looking Outside the Margins

“Most organizations lack sufficient capacity to detect, interpret, and act on the critically important but weak and ambiguous signals of fresh threats or new opportunities that emerge on the periphery of their usual business environment,” write George S. Day and Paul J. H. Schoemaker in their book Peripheral Vision.

But that’s exactly where effective future planning begins: examining what is happening outside the margins of day-to-day business as usual in order to peer into the future.

Business leaders who take this approach understand that despite the uncertainties of the future there are drivers of change that can be identified and studied and actions that can be taken to better prepare for—and influence—how events unfold.

That starts with developing foresight, typically a decade out. Ten years, most future planners agree, is the sweet spot. “It is far enough out that it gives you a bit more latitude to come up with a broader way to the future, allowing for disruption and innovation,” says Brian David Johnson, former chief futurist for Intel and current futurist in residence at Arizona State University’s Center for Science and the Imagination. “But you can still see the light from it.”

The process involves gathering information about the factors and forces—technological, business, sociological, and industry or ecosystem trends—that are effecting change to envision a range of potential impacts.

Seeing New Worlds

Intel, for example, looks beyond its own industry boundaries to envision possible future developments in adjacent businesses in the larger ecosystem it operates in. In 2008, the Intel Labs team, led by anthropologist Genevieve Bell, determined that the introduction of flexible glass displays would open up a whole new category of foldable consumer electronic devices.

To take advantage of that advance, Intel would need to be able to make silicon small enough to fit into some imagined device of the future. By the time glass manufacturer Corning unveiled its ultra-slim, flexible glass surface for mobile devices, laptops, televisions, and other displays of the future in 2012, Intel had already created design prototypes and kicked its development into higher gear. “Because we had done the future casting, we were already imagining how people might use flexible glass to create consumer devices,” says Johnson.

Because future planning relies so heavily on the quality of the input it receives, bringing in experts can elevate the practice. They can come from inside an organization, but the most influential insight may come from the outside and span a wide range of disciplines, says Steve Brown, a futurist, consultant, and CEO of BaldFuturist.com who worked for Intel Labs from 2007 to 2016.

Companies may look to sociologists or behaviorists who have insight into the needs and wants of people and how that influences their actions. Some organizations bring in an applied futurist, skilled at scanning many different forces and factors likely to coalesce in important ways (see Do You Need a Futurist?).

Do You Need a Futurist?

Most organizations need an outsider to help envision their future. Futurists are good at looking beyond the big picture to the biggest picture.

Business leaders who want to be better prepared for an uncertain and disruptive future will build future planning as a strategic capability into their organizations and create an organizational culture that embraces the approach. But working with credible futurists, at least in the beginning, can jump-start the process.

“The present can be so noisy and business leaders are so close to it that it’s helpful to provide a fresh outside-in point of view,” says veteran futurist Bob Johansen.

To put it simply, futurists like Johansen are good at connecting dots—lots of them. They look beyond the boundaries of a single company or even an industry, incorporating into their work social science, technical research, cultural movements, economic data, trends, and the input of other experts.

They can also factor in the cultural history of the specific company with whom they’re working, says Brian David Johnson, futurist in residence at Arizona State University’s Center for Science and the Imagination. “These large corporations have processes and procedures in place—typically for good reasons,” Johnson explains. “But all of those reasons have everything to do with the past and nothing to do with the future. Looking at that is important so you can understand the inertia that you need to overcome.”

One thing the best futurists will say they can’t do: predict the future. That’s not the point. “The future punishes certainty,” Johansen says, “but it rewards clarity.” The methods futurists employ are designed to trigger discussions and considerations of possibilities corporate leaders might not otherwise consider.

You don’t even necessarily have to buy into all the foresight that results, says Johansen. Many leaders don’t. “Every forecast is debatable,” Johansen says. “Foresight is a way to provoke insight, even if you don’t believe it. The value is in letting yourself be provoked.”

External expert input serves several purposes. It brings everyone up to a common level of knowledge. It can stimulate and shift the thinking of participants by introducing them to new information or ideas. And it can challenge the status quo by illustrating how people and organizations in different sectors are harnessing emerging trends.

The goal is not to come up with one definitive future but multiple possibilities—positive and negative—along with a list of the likely obstacles or accelerants that could surface on the road ahead. The result: increased clarity—rather than certainty—in the face of the unknown that enables business decision makers to execute and refine business plans and strategy over time.

Plotting the Steps Along the Way

Coming up with potential trends is an important first step in futuring, but even more critical is figuring out what steps need to be taken along the way: eight years from now, four years from now, two years from now, and now. Considerations include technologies to develop, infrastructure to deploy, talent to hire, partnerships to forge, and acquisitions to make. Without this vital step, says Brown, everybody goes back to their day jobs and the new thinking generated by future planning is wasted. To work, the future steps must be tangible, concrete, and actionable.

Organizations must build a roadmap for the desired future state that anticipates both developments and detours, complete with signals that will let them know if they’re headed in the right direction. Brown works with corporate leaders to set indicator flags to look out for on the way to the anticipated future. “If we see these flagged events occurring in the ecosystem, they help to confirm the strength of our hypothesis that a particular imagined future is likely to occur,” he explains.

For example, one of Brown’s clients envisioned two potential futures: one in which gestural interfaces took hold and another in which voice control dominated. The team set a flag to look out for early examples of the interfaces that emerged in areas such as home appliances and automobiles. “Once you saw not just Amazon Echo but also Google Home and other copycat speakers, it would increase your confidence that you were moving more towards a voice-first era rather than a gesture-first era,” Brown says. “It doesn’t mean that gesture won’t happen, but it’s less likely to be the predominant modality for communication.”

How to Keep Experiments from Being Stifled

Once organizations have a vision for the future, making it a reality requires testing ideas in the marketplace and then scaling them across the enterprise. “There’s a huge change piece involved,”
says Frank Diana, futurist and global consultant with Tata Consultancy Services, “and that’s the place where most
businesses will fall down.”

Many large firms have forgotten what it’s like to experiment in several new markets on a small scale to determine what will stick and what won’t, says René Rohrbeck, professor of strategy at the Aarhus School of Business and Social Sciences. Companies must be able to fail quickly, bring the lessons learned back in, adapt, and try again.

Lowe’s increases its chances of success by creating master narratives across a number of different areas at once, such as robotics, mixed-reality tools, on-demand manufacturing, sustainability, and startup acceleration. The lab maps components of each by expected timelines: short, medium, and long term. “From there, we’ll try to build as many of them as quickly as we can,” says Manna. “And we’re always looking for that next suite of things that we should be working on.” Along the way certain innovations, like the HoloRoom How-To, become developed enough to integrate into the larger business as part of the core strategy.

One way Lowe’s accelerates the process of deciding what is ready to scale is by being open about its nascent plans with the world. “In the past, Lowe’s would never talk about projects that weren’t at scale,” says Manna. Now the company is sharing its future plans with the media and, as a result, attracting partners that can jump-start their realization.

Seeing a Lowe’s comic about employee exoskeletons, for example, led Virginia Tech engineering professor Alan Asbeck to the retailer. He helped develop a prototype for a three-month pilot with stock employees at a Christiansburg, Virginia, store.

The high-tech suit makes it easier to move heavy objects. Employees trying out the suits are also fitted with an EEG headset that the lab incorporates into all its pilots to gauge unstated, subconscious reactions. That direct feedback on the user experience helps the company refine its innovations over time.

Make the Future Part of the Culture

Regardless of whether all the elements of its master narratives come to pass, Lowe’s has already accomplished something important: It has embedded future thinking into the culture of the company.

Companies like Lowe’s constantly scan the environment for meaningful economic, technology, and cultural changes that could impact its future assessments and plans. “They can regularly draw on future planning to answer challenges,” says Rohrbeck. “This intensive, ongoing, agile strategizing is only possible because they’ve done their homework up front and they keep it updated.”

It’s impossible to predict what’s going to happen in the future, but companies can help to shape it, says Manna of Lowe’s. “It’s really about painting a picture of a preferred future state that we can try to achieve while being flexible and capable of change as we learn things along the way.” D!


About the Authors

Dan Wellers is Global Lead, Digital Futures, at SAP.

Kai Goerlich is Chief Futurist at SAP’s Innovation Center Network.

Stephanie Overby is a Boston-based business and technology journalist.


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

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About Dan Wellers

Dan Wellers is founder and leader of Digital Futures at SAP, a strategic insights and thought leadership discipline that explores how digital technologies drive exponential change in business and society.

Kai Goerlich

About Kai Goerlich

Kai Goerlich is the Chief Futurist at SAP Innovation Center network His specialties include Competitive Intelligence, Market Intelligence, Corporate Foresight, Trends, Futuring and ideation.

Share your thoughts with Kai on Twitter @KaiGoe.heif Futu

About Stephanie Overby

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Future Of Work 2018: 10 Predictions You Can’t Ignore

Steven Hunt

The start of winter is often referred to as the “holiday season.” But it might also be called the “prediction season.” When it comes to human capital management (HCM), most predictions tend to be variations of the same things.

A colleague and I even created a scale to rate HCM predictions based on whether they are new or just “old wine in new bottles.”  The reason HCM predictions do not change much over time is because the “H” in HCM is about people. People do not evolve as fast as technology. Consequently, the basic challenges of HCM are constant: getting the right people in the right roles and providing them with the right work environments while complying with employment laws.

The following are my “top ten” predictions about how these will change in 2018.

Workforce agility will become the most critical concept in HCM. It is often said that the only constant is change. It is now more accurate to say the only constant is an ever-accelerating rate of change. The only way companies can survive in the modern economy is to excel at adapting to changing markets, technologies, and business landscapes. This requires tapping into people’s innate capacity for learning, growth, and innovation.

Staffing will reach new levels of complexity. For over 100 years, most people interpreted “staffing” to mean hiring employees to work onsite in full-time or part-time roles.  This concept is changing due to shifting skill shortages, global labor pools, and a massive rise in virtual work and contract employment.  Staffing no longer means hiring employees.  It means finding the right mix of skills and matching them to business demands by tapping into an increasingly global, virtual, and contingent labor force. Companies will be forced to redefine workforce planning, recruiting, staffing, and management to work in this much more complex labor market.

The experience of work will greatly improve.  Technology has made a lot of things about our lives much easier and more enjoyable. Finding our way around a city, buying products, staying in touch with our friends, watching movies, and hundreds of other life experiences have been transformed by social and mobile technologies leveraging artificially intelligent interfaces and machine learning algorithms. We will see exponential growth in the use of artificial intelligence, chatbots, intelligent services, machine learning, mobile solutions, and social platforms to make work more enjoyable, simple, and engaging.

Performance management will become a solution, not a problem. People have hated performance management for decades.  This is changing thanks to companies rethinking performance management to focus on ongoing coaching and team based decision making.  We will soon reach a tipping point where the dreaded annual review will be nothing more than a painful memory, having been replaced by mobile technology enabled continuous performance management solutions that employees and managers both appreciate and like.

Re-conceptualizing compensation. Companies spend billions of dollars each year on merit increases, bonuses, and other form of compensation.  Yet few of them can confidently answer this question: “What is the return on investment you get from the money spent on compensation in terms of increased employee engagement, productivity, and retention?” Companies can tell down to the last penny how much is spent on compensation, but they cannot tell if that money is being spent wisely. The future of compensation will involve more continuous processes where employees receive different types of rewards throughout the year from different sources.  And analytics will be used to link investments in compensation to returns in workforce productivity.

Intolerance of inequity. For too long, companies have viewed inequity as a problem, but not a problem worth solving. With the workforce becoming increasingly diverse, particularly the rise of women who now represent 50 percent or more of the employees in many fields, society is reaching a long-awaited tipping point where inequitable treatment based on non-job relevant factors such as gender, ethnicity, and age is being openly acknowledged and addressed. Smart companies will proactively redesign their talent management practices to ensure bias is identified and addressed before it happens.

The rise of well-being tech. People are not meant to live in an “always on” 24-7 world.  The pace of work is literally burning people out.  Companies need employees to be highly engaged, creative, and service oriented.  But this is impossible to do if employees are tired, stressed, and distracted.  In the coming year, companies will continue to make more well-being tools available to their employees. With the explosion of well-being technology at the consumer level, such as smartwatches and fitness technology, many employers will be looking to bring these tools into the workplace.  However, successful organizations will be those who make such technologies accessible, enjoyable, and cultural for their employees.

Org charts will begin to phase out. There is a lot of talk about updating businesses for the digital age, and yet companies continue to manage work forces using a tool that has changed little since the Roman Empire: the hierarchical organization chart (“org chart”). Relying on org charts to guide workforce management decisions is both foolish and dangerous in a digitalized world. And while 2018 will not be “the year the org chart died,” some progressive organizations will begin to phase out traditional org charts for more modern, digital approaches.

Companies will ditch all-or-nothing retirement. 2018 will bring about a major shift in workplace dynamics with regards to older generations. Today, individuals are living longer, and thus working longer – past 60, 70, and even 80.  Forward-thinking organizations realize the need to keep this skilled talent in their organization, particularly as many industries face increasing skills shortages. However, this transition will also force companies to rethink jobs; for example, many positions that used to be full time will become part time.  In the coming year, organizations will begin to move away from the traditional, all-or-nothing view of retirement.

Growth in HR cybersecurity threats. Ransom ware made its main stage debut in 2017 with the WannaCry and NotPetya attacks.  In 2018, ransom ware threats will continue to proliferate.  HR systems have not historically been a major target of cyber criminals.  Unfortunately, this will change.  There will be a growing number of attacks against human resources departments, with cyber-criminals posing as potential applicants in the hopes of infecting the larger organization.

We should feel confident these trends will continue to evolve over the coming years. If there is one thing psychologists have proven over the years about predictions, it is that the best predictor of future behavior is past behavior.

For more on technology and HR, see Why (And How) Technology Is Bringing HR And The CFO Together.

This article originally appeared on Forbes SAPVoice.

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Steven Hunt

About Steven Hunt

Steven Hunt is the Senior Vice President of Customer Value at SAP. He is responsible for guiding the strategy and deployment of knowledge, tools and process improvements that increase the value customers receive from SuccessFactors & SAP Cloud software as a service solutions.