Muru Walks A Pathway To The Future

Rick Price

When you think about office supplies, you probably think about things like the reams of paper it takes to get business done. But to Indigenous communities in Australia, that paper is a pathway to equality and a brighter future through an Indigenous-owned company called Muru Office Supplies.

Muru means pathway

Muru CEO Mitchell Ross explains that in the language of his people, Muru means “pathway”: “I’m an Indigenous man myself, and going into business… there was a huge drive for me to give back to other Indigenous people, so part of our vision as an organization is to create a pathway for the next generation of Indigenous people.” Ross explains that Muru gives part of its profits back to Indigenous community programs and has strong Indigenous employment goals.

Challenging history, new opportunities

This is a moment of opportunity for businesses like Muru. Challenged by a history that has often left First Australians behind, the Australian government a year ago created an Indigenous Procurement Policy. In its first year, the government awarded A$284.2 million in contracts to 493 Indigenous businesses. At the same time, many large Australian businesses are finding both purpose and profit in partnering with and buying from Indigenous suppliers. This policy is potentially even more powerful when combined with innovative, cloud-based procurement technology. The opportunity is ripe for smaller, Indigenous businesses like Muru to partner with other suppliers and also to get on the radar of larger buyers.

The power of the business network

Muru has found an expert partner in Complete Office Supplies or COS, Australia’s largest family-owned office products supplier, which has 41 years of experience. At SAP Ariba Live in Sydney in August, COS’s Sarah Trueman explained: “Over the years, we’ve helped Indigenous-owned small businesses, whether distributing their product or helping with logistics and services.” And a partnership with COS can help small Indigenous companies compete with larger organizations: “We support Muru Office Supplies with logistics, with supply chain, customer service, and IT, to make sure that they have the same service level as a company the size of COS.”

Iron…and paper

This effort is putting Muru in a position to work with Fortescue, the world’s fourth-largest iron ore producer. Chelsea Gray, Fortescue’s procurement systems and services manager explains: “Ending Aboriginal disparity has always been a core part of Fortescue.” Beginning in 2011, Fortescue’s Billion Opportunities program has awarded nearly A$2 billion in contracts to over 100 Aboriginal-owned businesses and joint ventures, including Muru.

COS has been a vendor of Fortescue for many years and saw an opportunity to build Muru’s capability by forming the joint venture Muru Office Supplies (MOS). MOS was successful in an open tender to provide Fortescue’s stationery requirements a few years back. COS’s Sarah Trueman says “the joint venture with Muru has been very successful and has resulted in MOS winning further business.”

The digital pathway

Muru, COS, and Fortescue are linked through technology that automates the procurement process and keeps business moving on the pathway between the three companies. Ross says that helps Muru fulfill its purpose in several ways: “It really comes down to streamlining processes for our customers and our buyers, so it reduces the administration costs, particularly in the high-transaction environment that we’re in. It reduces the human error rate because of the integration and automation that’s involved; it’s extremely helpful.” That helps Muru stay competitive, build its credibility, and grow so it can help more people.

SAP Ariba president Alex Atzberger notes: “Across procurement, we see people trying to tackle issues that impact the global supply chain such as slavery, poverty, and diversity. But they are struggling because they lack visibility and data on their suppliers. We can help deliver the intelligence and transparency they need to manage these challenges and effect change.”

The value of purpose

Including Indigenous businesses in procurement benefits companies around the globe. Atzberger points out: “Procurement is in a unique position to address these issues and, beyond saving money and creating efficiencies, improve lives.” Ariba vice president, products and innovation, Padmini Ranganathan points out: “Companies have seen value, cost efficiencies, and have enhanced their brand reputation.” Trueman agrees, saying it brings COS and its employees: “a sense of pride that we are helping Indigenous communities and giving back. As Muru talks about providing education to small children in these communities it’s really touching, it really makes you want to do more.”

Muru’s Ross adds: “As an Indigenous person, it’s easy to think about doing business with a purpose. It’s who we are as a people, so for other organizations and other buyers and suppliers out there, think about the bigger picture and about the world you want to live in, and come up with a purpose that you’re happy to strive towards.”

Interested in the ways procurement can help you make a difference? Click here for more stories like this one.


Rick Price

About Rick Price

Rick Price is an Emmy Award-winning journalist who now works at SAP, where he tells stories of customers' digital transformation.

What Makes A Successful Smart City?

Phil King

It was back in 2011 that Mark Deakin and Husam Al Wear defined the concept of a smart city as a place where a range of electronic and digital technologies are deployed to transform living and working environments. In practice, this could mean using physical devices and sensors to optimize the performance of city operations and services, monitoring what’s happening across the city, interacting with communities, managing the city’s evolution, and generally improving the lives and safety of citizens.

As things stand today, I can’t think of many places in the UK that fit this kind of advanced definition. Simple things like reliable Internet access in urban areas still remain a struggle for many, let alone genuine smart city examples of the Internet of Things (IoT) deployed to create joined-up, connected spaces.

But that doesn’t mean our cities are not smart at all or on a pathway to becoming smarter for their citizens. Indeed, for many towns and cities in the UK, the term “smart city” is more of an aspiration than a reality at present. Improvements and innovations have been incremental rather than wholesale. The key is to continue investing in technology, pushing development, and looking towards the urban outlier smart cities to see what we in Britain can learn.

Defining what we mean by “smart”

London Mayor Sadiq Khan recently announced that he wants London to be the world’s smartest city by 2020. But with only two years left to fulfill that vision, it seems quite the ask – especially as London was recently overtaken by Bristol as the smartest city in the UK.

In a way, this suggests that we need to reassess what we mean by “smart” if we’re to deliver changes that will truly improve the lives of UK citizens and to perhaps reconsider the milestones at which we’re aiming.

We’ve had glimpses of what can be achieved. From the Bristol Is Open project that saw the city jump to the top of the UK’s innovation table, to Milton Keynes’ commitment to using technology to become more sustainable with its MK:Smart initiative. And Manchester’s CityVerve project. All of these examples highlight the fact that there’s no reason why London, Birmingham, Newcastle, Glasgow, Cardiff, and cities all over the UK can’t act, think, and be smarter now.

Time to act ahead of Brexit impact

There is, of course, an element of urgency about this. It will be increasingly important for cities to embrace innovative technology ahead of any Brexit legislation coming into force. With the UK on the path to exit the European Union, the pressure will mount on cities to not only remain attractive to foreign visitors but also to ensure they provide a seamless, enjoyable experience to those living there.

As things stand, the UK is slightly behind the curve when it comes to smart technology deployment. But there are examples we as a nation can look to when seeking improvements. And I’m not just talking about capitals and major conurbations.

The French town of Antibes, for instance, uses IoT software to control its water management system. Officials use intelligent solutions to monitor and analyze the town’s water distribution system over 315 kilometers, aggregating 15,000 data points per hour collected from more than 2,000 sensors to look at temperature, salinity, chlorine levels, pH, and the pumps and valves that steer the flow of water.

Importantly, the innovation is aligned to economic and social priorities. Antibes is a lively resort in Southeastern France with a summer population of 250,000, triple the number of year-round citizens. People are attracted by the flair of the coast, water sports, and the French joie de vivre. Keeping their water infrastructure efficient and citizens safe is of the utmost importance.

The solution now helps the city anticipate breakdowns, optimize maintenance schedules, and plan future investments. And, as any smart city solution should, it provides the best service for citizens at the best cost. With citizens paying less than half the national average per cubic meter, Antibes offers a great example of how public sector organizations can take mountains of data and transform it into valuable information, then use that to inform local knowledge and increase public safety.

UK organizations should absolutely look at and learn from innovative deployments of smart technology around the world if they are to improve the lives of their citizens and the experiences they offer to visitors. Happily, there’s plenty of support out there, including the government-led Future Cities Catapult, Innovate UK, and the Scottish Smart Cities initiatives. So it’s time for local governments to act and get the UK on the map in terms of smart technology deployments.

Learn how SAP smart cities technologies help local governments like Antibes improve citizen services and livability, grow economic prosperity, and keep pace with change – without dipping into extra budget or resources.


Phil King

About Phil King

Drawing from his 30 years of experience in IT and public sector organizations, Phil King is the Sales Director for the Public Sector in the UK and Ireland at SAP. He is passionate about working with the public sector to drive innovation that improves people’s lives and makes the world a better place.

Mississauga Looks To Citizens And Industry As It Bridges Digital Divide

Shawn Slack

The Southern Ontario city of Mississauga is already established as an early frontrunner in the smart city movement, with free high-speed WiFi blanketing the city, a 750-sensor smart traffic light network, and 50,000 LED streetlights. But there is massive opportunity beyond this.

As we turn our attention to bridging the digital divide, consultations with the public and agency and industry partners have helped us identify key areas in which we could use technology to solve problems as part of the pan-Canadian Smart Cities Challenge.

Our plan involves supporting at-risk citizens, youth, new immigrants, and others in the local community by building a digital ecosystem that provides access to digital services and support. Here’s how it will look:

  • The kit – Made up of items such as laptops, kits will be available throughout the city and integrated into programs and services already offered at libraries and other agencies.
  • The connection – Mini WiFi-enabled digital hubs located throughout the city will provide easy and equitable access to services for people with or without a device through intelligent digital signs.
  • The hub – Locations designed for remote working and learning will feature workspaces and digital amenities to enable residents to work and learn within their own community.
  • The community – The needs of the local community will drive the development of each kit, connection, and hub.
  • The ride – Use of public and active transportation will be promoted as the ideal way to move throughout the community. MiWay will be the ride connecting to the hubs and the connections with traffic signal priority and Wi-Fi.
  • The technology – Leading-edge technologies including intelligent digital signage, artificial intelligence, voice-first services, augmented reality, open data, and mobility.

On the surface, it might look like we are simply introducing a bunch of technology to try to solve the challenges of economic and social divides in our city. But for this to work, technology must be considered part of the means to a solution rather than the solution itself.

Digital technologies can help us achieve goals such as bringing communities back together and improving opportunity and quality of life for everyone. We want to stitch our city services together into one digital experience that benefits all citizens and provides better support to the community so it can thrive.

The city of the near-future will look very different to today. IDC predicts 72% of the workforce will be mobile by 2020. This is a major shift, and our digital ecosystem is a head start in making Mississauga a desirable place to be in this new world.

Our public workforce of 7,000 is already leading by example on this front. We have introduced software such as SAP Concur and SAP SuccessFactors, allowing us to go paperless, and many public servants are working remotely from homes, libraries, and coffee shops around the city.

We want to give as many Mississaugans as possible the opportunities to succeed in the digital economy while continuing to include technology in our wider strategy to make the city a better and more enjoyable place to live, work, and play.

I will be talking alongside some of the world’s leading public sector and technology innovators at the SAP Smart Cities Forum on April 23.


Shawn Slack

About Shawn Slack

Shawn Slack is the Director of Information Technology and Chief Information Officer for the City of Mississauga.

Hack the CIO

By Thomas Saueressig, Timo Elliott, Sam Yen, and Bennett Voyles

For nerds, the weeks right before finals are a Cinderella moment. Suddenly they’re stars. Pocket protectors are fashionable; people find their jokes a whole lot funnier; Dungeons & Dragons sounds cool.

Many CIOs are enjoying this kind of moment now, as companies everywhere face the business equivalent of a final exam for a vital class they have managed to mostly avoid so far: digital transformation.

But as always, there is a limit to nerdy magic. No matter how helpful CIOs try to be, their classmates still won’t pass if they don’t learn the material. With IT increasingly central to every business—from the customer experience to the offering to the business model itself—we all need to start thinking like CIOs.

Pass the digital transformation exam, and you probably have a bright future ahead. A recent SAP-Oxford Economics study of 3,100 organizations in a variety of industries across 17 countries found that the companies that have taken the lead in digital transformation earn higher profits and revenues and have more competitive differentiation than their peers. They also expect 23% more revenue growth from their digital initiatives over the next two years—an estimate 2.5 to 4 times larger than the average company’s.

But the market is grading on a steep curve: this same SAP-Oxford study found that only 3% have completed some degree of digital transformation across their organization. Other surveys also suggest that most companies won’t be graduating anytime soon: in one recent survey of 450 heads of digital transformation for enterprises in the United States, United Kingdom, France, and Germany by technology company Couchbase, 90% agreed that most digital projects fail to meet expectations and deliver only incremental improvements. Worse: over half (54%) believe that organizations that don’t succeed with their transformation project will fail or be absorbed by a savvier competitor within four years.

Companies that are making the grade understand that unlike earlier technical advances, digital transformation doesn’t just support the business, it’s the future of the business. That’s why 60% of digital leading companies have entrusted the leadership of their transformation to their CIO, and that’s why experts say businesspeople must do more than have a vague understanding of the technology. They must also master a way of thinking and looking at business challenges that is unfamiliar to most people outside the IT department.

In other words, if you don’t think like a CIO yet, now is a very good time to learn.

However, given that you probably don’t have a spare 15 years to learn what your CIO knows, we asked the experts what makes CIO thinking distinctive. Here are the top eight mind hacks.

1. Think in Systems

A lot of businesspeople are used to seeing their organization as a series of loosely joined silos. But in the world of digital business, everything is part of a larger system.

CIOs have known for a long time that smart processes win. Whether they were installing enterprise resource planning systems or working with the business to imagine the customer’s journey, they always had to think in holistic ways that crossed traditional departmental, functional, and operational boundaries.

Unlike other business leaders, CIOs spend their careers looking across systems. Why did our supply chain go down? How can we support this new business initiative beyond a single department or function? Now supported by end-to-end process methodologies such as design thinking, good CIOs have developed a way of looking at the company that can lead to radical simplifications that can reduce cost and improve performance at the same time.

They are also used to thinking beyond temporal boundaries. “This idea that the power of technology doubles every two years means that as you’re planning ahead you can’t think in terms of a linear process, you have to think in terms of huge jumps,” says Jay Ferro, CIO of TransPerfect, a New York–based global translation firm.

No wonder the SAP-Oxford transformation study found that one of the values transformational leaders shared was a tendency to look beyond silos and view the digital transformation as a company-wide initiative.

This will come in handy because in digital transformation, not only do business processes evolve but the company’s entire value proposition changes, says Jeanne Ross, principal research scientist at the Center for Information Systems Research at the Massachusetts Institute of Technology (MIT). “It either already has or it’s going to, because digital technologies make things possible that weren’t possible before,” she explains.

2. Work in Diverse Teams

When it comes to large projects, CIOs have always needed input from a diverse collection of businesspeople to be successful. The best have developed ways to convince and cajole reluctant participants to come to the table. They seek out technology enthusiasts in the business and those who are respected by their peers to help build passion and commitment among the halfhearted.

Digital transformation amps up the urgency for building diverse teams even further. “A small, focused group simply won’t have the same breadth of perspective as a team that includes a salesperson and a service person and a development person, as well as an IT person,” says Ross.

At Lenovo, the global technology giant, many of these cross-functional teams become so used to working together that it’s hard to tell where each member originally belonged: “You can’t tell who is business or IT; you can’t tell who is product, IT, or design,” says the company’s CIO, Arthur Hu.

One interesting corollary of this trend toward broader teamwork is that talent is a priority among digital leaders: they spend more on training their employees and partners than ordinary companies, as well as on hiring the people they need, according to the SAP-Oxford Economics survey. They’re also already being rewarded for their faith in their teams: 71% of leaders say that their successful digital transformation has made it easier for them to attract and retain talent, and 64% say that their employees are now more engaged than they were before the transformation.

3. Become a Consultant

Good CIOs have long needed to be internal consultants to the business. Ever since technology moved out of the glasshouse and onto employees’ desks, CIOs have not only needed a deep understanding of the goals of a given project but also to make sure that the project didn’t stray from those goals, even after the businesspeople who had ordered the project went back to their day jobs. “Businesspeople didn’t really need to get into the details of what IT was really doing,” recalls Ferro. “They just had a set of demands and said, ‘Hey, IT, go do that.’”

Now software has become so integral to the business that nobody can afford to walk away. Businesspeople must join the ranks of the IT consultants.

But that was then. Now software has become so integral to the business that nobody can afford to walk away. Businesspeople must join the ranks of the IT consultants. “If you’re building a house, you don’t just disappear for six months and come back and go, ‘Oh, it looks pretty good,’” says Ferro. “You’re on that work site constantly and all of a sudden you’re looking at something, going, ‘Well, that looked really good on the blueprint, not sure it makes sense in reality. Let’s move that over six feet.’ Or, ‘I don’t know if I like that anymore.’ It’s really not much different in application development or for IT or technical projects, where on paper it looked really good and three weeks in, in that second sprint, you’re going, ‘Oh, now that I look at it, that’s really stupid.’”

4. Learn Horizontal Leadership

CIOs have always needed the ability to educate and influence other leaders that they don’t directly control. For major IT projects to be successful, they need other leaders to contribute budget, time, and resources from multiple areas of the business.

It’s a kind of horizontal leadership that will become critical for businesspeople to acquire in digital transformation. “The leadership role becomes one much more of coaching others across the organization—encouraging people to be creative, making sure everybody knows how to use data well,” Ross says.

In this team-based environment, having all the answers becomes less important. “It used to be that the best business executives and leaders had the best answers. Today that is no longer the case,” observes Gary Cokins, a technology consultant who focuses on analytics-based performance management. “Increasingly, it’s the executives and leaders who ask the best questions. There is too much volatility and uncertainty for them to rely on their intuition or past experiences.”

Many experts expect this trend to continue as the confluence of automation and data keeps chipping away at the organizational pyramid. “Hierarchical, command-and-control leadership will become obsolete,” says Edward Hess, professor of business administration and Batten executive-in-residence at the Darden School of Business at the University of Virginia. “Flatter, distributive leadership via teams will become the dominant structure.”

5. Understand Process Design

When business processes were simpler, IT could analyze the process and improve it without input from the business. But today many processes are triggered on the fly by the customer, making a seamless customer experience more difficult to build without the benefit of a larger, multifunctional team. In a highly digitalized organization like Amazon, which releases thousands of new software programs each year, IT can no longer do it all.

While businesspeople aren’t expected to start coding, their involvement in process design is crucial. One of the techniques that many organizations have adopted to help IT and businesspeople visualize business processes together is design thinking (for more on design thinking techniques, see “A Cult of Creation“).

Customers aren’t the only ones who benefit from better processes. Among the 100 companies the SAP-Oxford Economics researchers have identified as digital leaders, two-thirds say that they are making their employees’ lives easier by eliminating process roadblocks that interfere with their ability to do their jobs. Ninety percent of leaders surveyed expect to see value from these projects in the next two years alone.

6. Learn to Keep Learning

The ability to learn and keep learning has been a part of IT from the start. Since the first mainframes in the 1950s, technologists have understood that they need to keep reinventing themselves and their skills to adapt to the changes around them.

Now that’s starting to become part of other job descriptions too. Many companies are investing in teaching their employees new digital skills. One South American auto products company, for example, has created a custom-education institute that trained 20,000 employees and partner-employees in 2016. In addition to training current staff, many leading digital companies are also hiring new employees and creating new roles, such as a chief robotics officer, to support their digital transformation efforts.

Nicolas van Zeebroeck, professor of information systems and digital business innovation at the Solvay Brussels School of Economics and Management at the Free University of Brussels, says that he expects the ability to learn quickly will remain crucial. “If I had to think of one critical skill,” he explains, “I would have to say it’s the ability to learn and keep learning—the ability to challenge the status quo and question what you take for granted.”

7. Fail Smarter

Traditionally, CIOs tended to be good at thinking through tests that would allow the company to experiment with new technology without risking the entire network.

This is another unfamiliar skill that smart managers are trying to pick up. “There’s a lot of trial and error in the best companies right now,” notes MIT’s Ross. But there’s a catch, she adds. “Most companies aren’t designed for trial and error—they’re trying to avoid an error,” she says.

To learn how to do it better, take your lead from IT, where many people have already learned to work in small, innovative teams that use agile development principles, advises Ross.

For example, business managers must learn how to think in terms of a minimum viable product: build a simple version of what you have in mind, test it, and if it works start building. You don’t build the whole thing at once anymore.… It’s really important to build things incrementally,” Ross says.

Flexibility and the ability to capitalize on accidental discoveries during experimentation are more important than having a concrete project plan, says Ross. At Spotify, the music service, and CarMax, the used-car retailer, change is driven not from the center but from small teams that have developed something new. “The thing you have to get comfortable with is not having the formalized plan that we would have traditionally relied on, because as soon as you insist on that, you limit your ability to keep learning,” Ross warns.

8. Understand the True Cost—and Speed—of Data

Gut instincts have never had much to do with being a CIO; now they should have less to do with being an ordinary manager as well, as data becomes more important.

As part of that calculation, businesspeople must have the ability to analyze the value of the data that they seek. “You’ll need to apply a pinch of knowledge salt to your data,” advises Solvay’s van Zeebroeck. “What really matters is the ability not just to tap into data but to see what is behind the data. Is it a fair representation? Is it impartial?”

Increasingly, businesspeople will need to do their analysis in real time, just as CIOs have always had to manage live systems and processes. Moving toward real-time reports and away from paper-based decisions increases accuracy and effectiveness—and leaves less time for long meetings and PowerPoint presentations (let us all rejoice).

Not Every CIO Is Ready

Of course, not all CIOs are ready for these changes. Just as high school has a lot of false positives—genius nerds who turn out to be merely nearsighted—so there are many CIOs who aren’t good role models for transformation.

Success as a CIO these days requires more than delivering near-perfect uptime, says Lenovo’s Hu. You need to be able to understand the business as well. Some CIOs simply don’t have all the business skills that are needed to succeed in the transformation. Others lack the internal clout: a 2016 KPMG study found that only 34% of CIOs report directly to the CEO.

This lack of a strategic perspective is holding back digital transformation at many organizations. They approach digital transformation as a cool, one-off project: we’re going to put this new mobile app in place and we’re done. But that’s not a systematic approach; it’s an island of innovation that doesn’t join up with the other islands of innovation. In the longer term, this kind of development creates more problems than it fixes.

Such organizations are not building in the capacity for change; they’re trying to get away with just doing it once rather than thinking about how they’re going to use digitalization as a means to constantly experiment and become a better company over the long term.

As a result, in some companies, the most interesting tech developments are happening despite IT, not because of it. “There’s an alarming digital divide within many companies. Marketers are developing nimble software to give customers an engaging, personalized experience, while IT departments remain focused on the legacy infrastructure. The front and back ends aren’t working together, resulting in appealing web sites and apps that don’t quite deliver,” writes George Colony, founder, chairman, and CEO of Forrester Research, in the MIT Sloan Management Review.

Thanks to cloud computing and easier development tools, many departments are developing on their own, without IT’s support. These days, anybody with a credit card can do it.

Traditionally, IT departments looked askance at these kinds of do-it-yourself shadow IT programs, but that’s changing. Ferro, for one, says that it’s better to look at those teams not as rogue groups but as people who are trying to help. “It’s less about ‘Hey, something’s escaped,’ and more about ‘No, we just actually grew our capacity and grew our ability to innovate,’” he explains.

“I don’t like the term ‘shadow IT,’” agrees Lenovo’s Hu. “I think it’s an artifact of a very traditional CIO team. If you think of it as shadow IT, you’re out of step with reality,” he says.

The reality today is that a company needs both a strong IT department and strong digital capacities outside its IT department. If the relationship is good, the CIO and IT become valuable allies in helping businesspeople add digital capabilities without disrupting or duplicating existing IT infrastructure.

If a company already has strong digital capacities, it should be able to move forward quickly, according to Ross. But many companies are still playing catch-up and aren’t even ready to begin transforming, as the SAP-Oxford Economics survey shows.

For enterprises where business and IT are unable to get their collective act together, Ross predicts that the next few years will be rough. “I think these companies ought to panic,” she says. D!


About the Authors

Thomas Saueressig is Chief Information Officer at SAP.

Timo Elliott is an Innovation Evangelist at SAP.

Sam Yen is Chief Design Officer at SAP and Managing Director of SAP Labs.

Bennett Voyles is a Berlin-based business writer.

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

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Survey: Four Ways Machine Learning Will Disrupt Your Business

Dan Wellers and Dirk Jendroska

We are entering the era of the machine learning enterprise, in which this subset of artificial intelligence (AI) capabilities will revolutionize operating models, shake up staffing methods, upend business models, and potentially alter the nature of competition itself. The adoption of machine learning capabilities will be limited only by an organization’s ability to change – but not every company will be willing or able to make such a radical shift.

Very soon, the difference between the haves and the have-nots of machine learning will become clear. “The disruption over the next three to five years will be massive,” says Cliff Justice, principal in KPMG’s Innovation and Enterprise Solutions team. Companies hanging onto their legacy processes will struggle to compete with machine learning enterprises able to compete with a fraction of the resources and entirely new value propositions.

For those seeking to be on the right side of the disruption, a new survey, conducted by SAP and the Economist Intelligence Unit (EIU), offers a closer look at organizations we’ve identified as the Fast Learners of machine learning: those that are already seeing benefits from their implementations.

Machine learning is unlike traditional programmed software. Machine learning software actually gets better – autonomously and continuously – at executing tasks and business processes. This creates opportunities for deeper insight, non-linear growth, and levels of innovation previously unseen.

Given that, it’s not surprising that machine learning has evolved from hype to have-to-have for the enterprise in seemingly record time. According to the SAP/EIU survey, more than two-thirds of respondents (68%) are already experimenting with it. What’s more, many of these organizations are seeing significantly improved performance across the breadth of their operations as a result, and some are aiming to remake their businesses on the back of these singular, new capabilities.

So, what makes machine learning so disruptive? Based on our analysis of the survey data and our own research, we see four primary reasons:

1. It’s probabilistic, not programmed

Machine learning uses sophisticated algorithms to enable computers to “learn” from large amounts of data and take action based on data analysis rather than being explicitly programmed to do something. Put simply, the machine can learn from experience; coded software does not. “It operates more like a human does in terms of how it formulates its conclusions,” says Justice.

That means that machine learning will provide more than just a one-time improvement in process and productivity; those improvements will continue over time, remaking business processes and potentially creating new business models along the way.

2. It creates exponential efficiency

When companies integrate machine learning into business processes, they not only increase efficiency, they are able to scale up without a corresponding increase in overhead. If you get 5,000 loan applications one month and 20,000 the next month, it’s not a problem, says Sudir Jha, head of product management and strategy for Infosys; the machines can handle it.

3. It frees up capital – financial and human

Because machine learning can be used to automate any repetitive task, it enables companies to redeploy resources to areas that make the organization more competitive, says Justice. It also frees up the employees within an organization to perform higher-value, more rewarding work. That leads to reduced turnover and higher employee satisfaction. And studies show that happier employees lead to higher customer satisfaction and better business results.

4. It creates new opportunities

AI and machine learning can offer richer insight, deeper knowledge, and predictions that would not be possible otherwise. Machine learning can enable not only new processes, but entirely new business models or value propositions for customers – “opportunities that would not be possible with just human intelligence,” says Justice. “AI impacts the business model in a much more disruptive way than cloud or any other disruption we’ve seen in our lifetimes.”

Machine learning systems alone, however, will not transform the enterprise. The singular opportunities enabled by these capabilities will only occur for companies that dedicate themselves to making machine learning part of a larger digital transformation strategy. The results of the SAP/EIU survey explain the makeup of the evolving machine learning enterprise. We’ve identified key traits important to the success of these machine-learning leaders that can serve as a template for others as well as an overview of the outcomes they’re already seeing from their efforts.

Learn more and download the full study here.  

 


Dan Wellers

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.

Dirk Jendroska

About Dirk Jendroska

Dr. Dirk Jendroska is Head of Strategy and Operations Machine Learning at SAP. He supports the vision of SAP Leonardo Machine Learning to enable the intelligent enterprise by making enterprise applications intelligent. He leads a team working on machine learning strategy, marketing and communications.