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Turning Machine Learning Into Intelligence That Matters

Jean Loh

Part 2 of a 2-part series. Read Part 1.

Great news for employees: Travis Tompkins, senior manager at Deloitte Consulting LLP, predicts that companies will soon be removing 20%–30% of all mundane activities from their employees’ to-do lists. That means more time to do real work and think.

“Automating paper shuffling, workflows, and simple decision making will give us extra time and resources. Now companies must decide what they are going to do with that additional capacity,” he said on the May 10, 2017 live episode of Coffee Break with Game Changers Radio, presented by SAP and produced and moderated by SAP’s Bonnie D. Graham.

He was joined on a thought leadership panel by Dr. Paul Pallath, chief data scientist and senior director of the Advanced Analytics organization at SAP, and Kevin McConnell, director of Machine Learning Solutions Go-to-Market Strategy at SAP.

Travis’s bold prediction may become reality by 2027, as we’re already seeing business leaders climb on the machine learning bandwagon. They are harnessing text and speech recognition, visual image processing, chatbots, and digital assistants – and relieving employees of repetitive and boring tasks so they can act more strategically.

Click to listen to the full episode.

Reframing the most critical questions

The more companies transform with innovative technology, the more their appetite will grow to digitize every aspect of the enterprise. “Everybody wants to apply the predictive capabilities of machine learning in their daily operations,” Paul stated. “When I talk to customers, I always advise that the business problem must address the top line or bottom line. Otherwise, machine learning will not change how customers interact with their systems. Executives must first ask the right questions to create a significant difference.”

Will machine learning answer the most fundamental concern in today’s boardroom: “What can we do differently?”

“Machine learning is not about letting machines run the world; it’s having machines help facilitate how humans run the world,” observed Kevin. “The best place to implement machine learning is where there are 5 million different possibilities. People can typically look at not more than 10 or 20 scenarios. But we still need to set the parameters, evaluate results, and apply those findings, even though machines are going to do most of the thinking.”

Travis offered a use case. “The advent of machine learning is fine-tuning finance activities – from how performance is measured to how insights are analyzed.” Then finance organizations can better predict, plan, and forecast by evaluating thousands of variables and understanding the root cause of profit growth or loss. But more important, this level of insight enables the function to deliver a critical lifeline for the entire business’s survival.

More use cases: data security and more

The panelists agreed that the top use cases for machine learning include the security of personal data and intellectual property. Across networks, computers, and anything in between, “there are thousands and millions of threats a day,” Kevin noted. “Machines must start asking for the right rules and how to make them smarter.” The highest payback for investing in machine learning is found improving data security, personal security, fraud, and credit risk.

Paul added, “If businesses categorize various use cases, then sales and marketing operations, risk management, finance, and human resources are the predominant functions that could find success.”

How to build machine learning algorithms to address a specific need? “Companies must start at the top level of the organization and ingrain the technology in the strategy,” Kevin advised. “A common mistake is to start putting machine learning in lots of different places. The expense of resource and data replication does not bring a true advantage. Instead, executives should focus on key performance indicators or strategies.”

But Travis cautioned, “When businesses first get started with machine learning, they must be willing to fail – learning in that failure process how to build better models during every iteration.”

Paul added that the organizational culture should adapt as well. “In large deployments of machine learning in business processes across all functions, it is very important to have a data-driven organization. For the huge segment of the workforce that has yet be impacted, the first thing that will come to mind is, ‘Do I trust the systems that propose actions for me to look into, versus my having to evaluate all the options?’ The culture may need to be molded into being data-driven, rather than having something forced on them.”

Will machine learning become the new norm?

According to the panelists, machine learning will become more than just another tech buzzword that disappears over time.

Travis predicted that machine learning will pave the way to a more pervasive form of artificial intelligence: natural language processing. “We’re seeing it now with Google Home, Amazon’s Alexa, and other devices we’re talking and interacting with very naturally. I envision that, five years from now, we’ll view this innovation area as we look at GPS today. It will become very natural.”

Paul went further. “I predict there will be a machine-driven, completely automated world that we’ll be a part of. People will be interacting with this digital wall seamlessly without understanding that we are still existing somehow. Maybe the machine understands my responses to your questions and would be taking this call for me,” he mused.

Kevin’s perspective: “You’re going to engage with things a lot differently than you do now, and it will start with machine learning. I may come home on a Friday night and there will be a pizza waiting at my door. The machine will already know that I’m going to order it at 7 o’clock anyway. All those things are going to happen, and we’ll joke about the days when we had to do things.”

Learn more

Listen to the SAP Radio show “Machine Learning Trends – Part 2: Harnessing AI” on demand.

Automation is THE priority for global business organizations that want to drive costs down. Join Randy Garrison of SAP and Weston Jones of Ernst & Young, LLP on July 17 at 1 p.m. EDT to understand what robotic process automation can offer you today and in the future. Register now!

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Jean Loh

About Jean Loh

Jean Loh is the director, Global Audience Marketing at SAP. She is an experienced marketing and communication professional, currently responsible for developing thought leadership content that is unbiased and audience-led while addressing market challenges to illuminate and solve the unmet needs of CFOs, CIOs, and the wider global finance and IT audience.

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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Daniel Newman

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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Running Future Cities on Blockchain

Dan Wellers , Raimund Gross and Ulrich Scholl

Building on the Blockchain Framework

Some experts say these seemingly far-future speculations about the possibilities of combining technologies using blockchain are actually both inevitable and imminent:


Democratizing design and manufacturing by enabling individuals and small businesses to buy, sell, share, and digitally remix products affordably while protecting intellectual property rights.
Decentralizing warehousing and logistics by combining autonomous vehicles, 3D printers, and smart contracts to optimize delivery of products and materials, and even to create them on site as needed.
Distributing commerce by mixing virtual reality, 3D scanning and printing, self-driving vehicles, and artificial intelligence into immersive, personalized, on-demand shopping experiences that still protect buyers’ personal and proprietary data.

The City of the Future

Imagine that every agency, building, office, residence, and piece of infrastructure has an entry on a blockchain used as a city’s digital ledger. This “digital twin” could transform the delivery of city services.

For example:

  • Property owners could easily monetize assets by renting rooms, selling solar power back to the grid, and more.
  • Utilities could use customer data and AIs to make energy-saving recommendations, and smart contracts to automatically adjust power usage for greater efficiency.
  • Embedded sensors could sense problems (like a water main break) and alert an AI to send a technician with the right parts, tools, and training.
  • Autonomous vehicles could route themselves to open parking spaces or charging stations, and pay for services safely and automatically.
  • Cities could improve traffic monitoring and routing, saving commuters’ time and fuel while increasing productivity.

Every interaction would be transparent and verifiable, providing more data to analyze for future improvements.


Welcome to the Next Industrial Revolution

When exponential technologies intersect and combine, transformation happens on a massive scale. It’s time to start thinking through outcomes in a disciplined, proactive way to prepare for a future we’re only just beginning to imagine.

Download the executive brief Running Future Cities on Blockchain.


Read the full article Pulling Cities Into The Future With Blockchain

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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.

Raimund Gross

About Raimund Gross

Raimund Gross is a solution architect and futurist at SAP Innovation Center Network, where he evaluates emerging technologies and trends to address the challenges of businesses arising from digitization. He is currently evaluating the impact of blockchain for SAP and our enterprise customers.

Ulrich Scholl

About Ulrich Scholl

Ulrich Scholl is Vice President of Industry Cloud and Custom Development at SAP. In this role, Ulrich discovers and implements best practices to help further the understanding and adoption of the SAP portfolio of industry cloud innovations.

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Why HR Is The New Marketing

Michael Brenner

In a world of infinite media choices, the best way to reach new buyers and new talent might be right under your nose. Your own employees represent the greatest opportunity to create meaningful marketing and to develop human resources programs that increase sales, while also finding and retaining top talent. Is HR the new marketing?

In the battle for new talent, HR departments have been forced to expand their role from hiring and firing, overseeing personnel systems and processes, and handling benefit management to include leadership development and training, employer branding, and diversity initiatives.

HR has been forced to adopt strategies that look, well, very much like marketing. These days, HR develops campaigns to grow employer awareness, to build the employer brand as a “great place to work,” and to retain top talent—all traditional marketing objectives.

While many in HR have embraced these traditional marketing skills, the most effective companies are moving beyond HR simply applying marketing techniques to a whole new opportunity. These effective companies are actually activating employees as a new marketing channel to achieve both HR and marketing objectives.

Proceed with caution

One of the biggest obstacles to achieving the potential of employees as a new marketing channel is the perception of marketing as advertising.

Asking (or forcing) your employees to share product content on their social media channels is just as dangerous as asking them to share (or guilting them into sharing) what a great place your company is to work.

Consumers are increasingly ignoring and blocking advertising messages, with some research even suggesting that promotional messages from brands can have the opposite of their intended effect. These misguided efforts can actually cause sales to decline!

While some employees may authentically share their excitement and passion for the products they work on, the projects they are engaged in, and the company they work for (and we should celebrate that), this is not a sustainable strategy for getting new customer or talent.

Content marketing and HR

Content marketing has emerged as one of the hottest trends in marketing. Marketers are learning to think and act like publishers to create entertaining, interesting, or helpful content that consumers actually want to read and share (vs. promotional ads). And this approach allows a brand to reach, engage, convert and retain new customers.

The opportunity to activate employees to achieve marketing and HR objectives starts by creating content they naturally want to share.

As the first VP of content marketing at SAP, I learned to tap into the power of my fellow employees to create a marketing program that delivered massive ROI. The biggest lesson I learned: HR is the new marketing!

With a limited budget for content, I asked our internal experts to write articles on whatever they wanted. We had one editorial rule: no product promotion. Our internal experts could explore their professional or personal passions and interests, even if it meant writing about cat videos. Because somewhere out in the world, I believed there was a potential customer, employee, partner or investor who might also loved cat videos. (No one ever wrote about cat videos. Bummer!)

I even created a slideshare deck to explain the value for these employees/budding content marketers:

  • Grow your personal brand
  • Increase or establish your authority on the topics you are interested in
  • Gain new social media followers
  • Maybe even find that new job or get promoted

We also encouraged this behavior by publicly recognizing our top articles and authors each week in a round-up post. We made rock stars of the best performers as their social connections and influence increased. And this drove more employees to sign up.

Today, that site has hundreds of employee contributors. All are growing their personal brand, while expressing their passions and expertise to the world. And many of the employees who don’t write articles voluntarily share the content with their social connections.

As LinkedIn’s own Jason Miller mentioned in his article, the trick is to define what’s in it for them.

Why does this work?

Because you can create massive momentum when we combine the needs of our customers, our employees, and our company based on THEIR own distinct interests:

  • Companies want more loyal customers and talented employees.
  • Employees want purpose and meaningful work that has real impact on their career and the world.
  • Customers want to form relationships with brands on their terms and based on their self-interest

What you can do to activate HR as the new marketing

1. Create a customer-centric vision

Look around your organization, and you will see people above you, below you, and beside you. The traditional org chart still exists to focus on your position in the hierarchy. But where’s the customer? Where is the customer in your org chart? 

Even if your company mission isn’t customer-centric (“we are the leading provider of widgets”), your marketing vision must be. And there is one simple formula to get there:

Become a sought-after destination for which topicin order to deliver what customer value or impact.

2. Create content employees who want to share

According to LinkedIn, the combined connections of employees on the LinkedIn platform is 10 times larger than any company’s followers. And just 3 percent of company employees sharing branded content generate 30 percent of the views and clicks on that content.

Platforms such as LinkedIn Elevate, social selling programs, and other tools can dramatically increase the reach of your content, grow your company’s social presence, and improve the effectiveness of marketing programs — without spending a single dollar on paid media.

But you have to create content your employees want to share. You might even ask them to help you. The trick is to explain what’s in it for them: creating or sharing content can help them build more connections, establish relationships with other leaders in your industry, and grow their personal brand so they can achieve happiness in their careers.

3. Measure the results

Measure the impact of your employee content sharing for your company. Demonstrate how it has benefited the employees (increased connections, awards, and recognition). Discuss ways to profile your best customers as well.

And partner with your colleagues across HR, marketing, and sales to determine the best ways to continuously optimize what is working for everyone.

If you’re in marketing, it’s time to start thinking about your colleagues in HR as your new best friend. And if you’re in HR, it’s time to think about how marketing can help you acquire and retain the best talent — while making the leadership team happy as well.

For more strategies that create a culture that drives business growth, see Employee Advocacy = Engaged Employees.

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Michael Brenner

About Michael Brenner

Michael Brenner is a globally-recognized keynote speaker, author of  The Content Formula and the CEO of Marketing Insider GroupHe has worked in leadership positions in sales and marketing for global brands like SAP and Nielsen, as well as for thriving startups. Today, Michael shares his passion on leadership and marketing strategies that deliver customer value and business impact. He is recognized by the Huffington Post as a Top Business Keynote Speaker and   a top  CMO influencer by Forbes.