The buzz: “Data! Data! Data! I can’t make bricks without clay!” (Sherlock Holmes). There is no question that Machine Learning is impacting core business processes – and that many companies struggle with how to operationalize it. The key to success – and what data scientists spend 80% of their time on – is having the right data. What are the requirements for good data? How do you know you have the right data? Can this be optimized? The experts speak. Ginger Gatling, SAP: “The pace of change has never been this fast, yet it will never be this slow again” (Graeme Wood). Blake Howitt, SAP: “The measure of who we are is what we do with what we have” (Vince Lombardi). David Quirk, SAP: “None of us is as smart as all of us” (Ken Blanchard). John Schitka, SAP: ““You can't build a great building on a weak foundation. You must have a solid foundation...to have a strong superstructure” (Gordon B. Hinckley). Join us for Can’t Live Without You: Predictive Machine Learning Needs Data Management.

Game-Changing Predictive Machine Learning, Presented by SAP

Encore: Cant Live Without You: Predictive Machine Learning Needs Data Management

The buzz: “Learning how to do data science is like learning to ski. You have to do it” (Claudia Perlich). Big data has officially crashed into the business world, taking competition to new levels. Can your company benefit without qualified data-science resources like a lab or pedigreed experts to navigate and take advantage of this new business domain, which includes AI and Machine Learning? Good news. Packaged application software has lowered the skills barrier to mining the data. Our panelists are proof that anyone can successfully use data analytics tools. Hear what they wish they’d known when they began. The experts speak. Jason Olsen, Kimberly-Clark: “Whether you think you can or you think you can’t, you’re right” (Henry Ford). Chris Carter, Approyo: “I never worry about the problem. I worry about the solution” (Shaq O’Neal). Samantha Wong, SAP: “True knowledge exists in knowing that you know nothing” (Socrates). Join us for Business Analyst by Day, Data Science Hero by Night.

Encore: Business Analyst by Day, Data Science Hero by Night

The buzz: “One consultant described RPA tools for structured digital processes as a “gateway drug” for other cognitive technologies” forbes.com). Businesses are using Intelligent Robotic Process Automation (IRPA) technology to boost efficiency. How? IRPA lets computer programs simulate tedious, labor-intensive, manual processes in a calculated, repeatable, dependable way, often faster than humans. The bottom line: IRPA enables businesses to do better and more with less. Is IRPA a fad? Should IRPA solutions include human touch? The experts speak. Jean-Baptiste Burin, AXA Partners Holding: “A vision without the ability to execute it is probably a hallucination” (Stephen Case). Julien Kopp, Deloitte: “Any sufficiently advanced technology is indistinguishable from magic” (Arthur C. Clarke). Philippe Poux, Contextor: “There is always a well-known solution to every human problem neat, plausible and wrong” (HL Mencken). Join us for Exponential Productivity: Why IRPA Is Here To Stay.

Exponential Productivity: Why IRPA Is Here To Stay

Cant Live Without You: Predictive Machine Learning Needs Data Management

The buzz: “The Beatles saved the world from boredom. Can a cutting-edge technology – RPA –do the same for the workplace and take the robot out of the human?” (Xuan Liao www.forbes.com). Reality check: No matter how hard-working or efficient we are, there will be tasks we wish could be done automatically. Possible? Yes. Robotic Process Automation (RPA) is a promising technology that can drive efficiency and give people more time for human-suited demanding projects. The experts speak. Shawn Brodersen, HCL Technologies: “The secret of change is to focus all of your energy, not on fighting the old, but on building the new” (Socrates character in “Way of A Peaceful Warrior”). Philippe Poux, Contextor: “Man is only dust, that is to say the importance of a feather duster” (Alexandre Vialatte). David Judge, SAP: “The future is already here — it’s just not very evenly distributed” (William Gibson). Join us for Intelligent Robotic Process Automation: Optimizing Performance.

Intelligent Robotic Process Automation: Optimizing Performance

The buzz: “Gartner estimates that augmented analytics will grow at twice the rate of those that are not, and will deliver twice the business value. Analytics and BI leaders should begin planning…pilot projects and adoption.” (Jen Underwood, informationweek.com). Analytics as we know it is changing. Predictive machine learning’s smart capabilities are radically changing the way we analyze, report, predict, visualize, and understand enterprise data. Embedding these insights into daily tasks influences the way we work. The experts speak. Kyle Porter, Bit Quill Technology: “Cooking is not difficult. Everyone has taste, even if they don’t realize it” (Gerard Depardieu). Greg Wright, VantagePoint: “Truth is the most valuable thing in the world; so valuable that it has often been barricaded by a bodyguard of lies” (Churchill). John Schitka, SAP: “There are known known…there are also unknown unknowns” (Donald Rumsfeld). Join us for Augmented Analytics: Automating Insights with ML and AI.

Augmented Analytics: Automating Insights with ML and AI

The buzz: “AI and machine learning can be an objective observer to screen for bias patterns” (Kevin Mulcahy, Future Workplace). Human bias exists in HR hiring, promotions, employee opportunities and other business decisions. Can technology remove bias? Machine learning and predictive analytics can help HR scan for inherent bias, predict and minimize employee churn, and identify optimal recruiting channels. But is there a ‘dark side’ from ML’s human-created models and algorithms? The experts speak. Jeff Mills, SAP SuccessFactors: “The man who removes a mountain begins by carrying away small stones” (Chinese Proverb). Erin Roberts, SAP SuccessFactors: “Marilla, isn’t it nice to think that tomorrow is a new day with no mistakes in it yet?” (Anne of Green Gables). John Schitka, SAP: “We are made wise not by the recollection of our past, but by the responsibility for our future” (George Bernard Shaw). Join us for Machine Learning in HR: Uncovering and Addressing Human Bias.

Machine Learning in HR: Uncovering and Addressing Human Bias

The buzz: “Whether you like it or not, artificial intelligence (AI) and robots are going to be a big part of the future workforce” (Arjun Kharpal). In a recent SAP survey, nine out of 10 business leaders believe AI is critical for their companies’ survival over the next five years. This includes their ability to attract the “Digital Natives” born in the smart phone and live stream era. Our panel will share insights on how AI is re-inventing the way we work and can help you attract the next generation of workers. The experts speak. Ton Dobbe, Value Inspiration: “If you can dream it, you can do it” (Walt Disney). Leonardo De Araujo, Beyond Technologies: “A computer on every desk and in every home” (Bill Gates). Sven Denecken, SAP: “Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we'll augment our intelligence” (Ginni Rometty). Join us for AI: Reinventing the Way We Work.

AI: Reinventing the Way We Work

The buzz: “A baby learns to crawl, walk and then run. We are in the crawling stage when it comes to applying machine learning” (Dave Waters). True or false: Everything we need to function and thrive already exists, so innovation has slowed? False! As more businesses adopt predictive machine learning technology, we’re seeing the emergence and adoption of machines that can learn, operate and process information at a speed surpassing the human brain. And this is giving rise to new ideas, products and services, and markets. The experts speak. Bryan Mattimore, The Growth Engine Company: “Satisfaction of one’s curiosity is one of the greatest sources of happiness in life” (Linus Pauling). Omar Maher, ESRI: “The greatest enemy of knowledge is not ignorance, it is the illusion of knowledge” (Stephen Hawking). John Schitka, SAP: “Very few beings really seek knowledge in this world. Few really ask….” (Anne Rice). Join us for The Machine Era: Disruptive Innovation and Ideation.

The Machine Era: Disruptive Innovation and Ideation

Business Analyst by Day, Data Science Hero by Night

The buzz: “Predictive analytics is…one of the few investments a CMO will make that is guaranteed to produce a return on investment.” (Richard Mooney) Predictive analytics continues to evolve in cool ways. Now machine learning and artificial intelligence strengthen the backbone of predictive capabilities with self-updating algorithms that uncover hidden meanings in past data. Ready to learn about the ROI of predictive analytics and machine learning, implementation best practices, where the data is applicable, and how to improve a quantifiable ROI? The experts speak. Gil Gomez, Deloitte: “We cannot solve our problems with the same thinking we used when we created them” (Einstein). Hudson Harris, HarrisLogic: “If you've got the truth you can demonstrate it. Talking doesn't prove it” (Robert A. Heinlein). Timo Elliott, SAP: “I would challenge you to a battle of wits, but I see you are unarmed” (Mrs. C.H. Gildersleeve). Join us for Predictive Machine Learning Value: ROI Beyond Cool.

for Predictive Machine Learning Value: ROI Beyond Cool

The buzz: “There are not enough trained data scientists to meet today’s businesses’ goals of improving efficiency and automating tasks using machine learning” (Ventana Research). Ventana reported that only 40% of organizations surveyed have staff capable of performing data analysis without IT assistance. As a result, Citizen Data Scientists are emerging. Are they filling the void? The experts speak. Richard Mooney, SAP: ”One of history’s few iron laws is that luxuries tend to become necessities and to spawn new obligations” (Yuval N. Harkari). Parimala Narasimha, Cox Communications: “Wit beyond measure is man's greatest treasure” (Rowena Ravenclaw). Marc Teerlink, SAP: “We believe that if men have the talent to invent new machines that put men out of work, they have the talent to put those men back to work” (JFKennedy). Erik Marcade, SAP: “Prophesy is a good line of business, but it is full of risk” (M.Twain). Join us for The Making of A Citizen Data Scientist: Challenges and Hacks.

The Making of A Citizen Data Scientist: Challenges and Hacks

As business rapidly evolves and constantly changes, those in the driver’s seat have tried to divine the future. Predictive Machine Learning is helping them do just that in a meaningful, impactful way by addressing key business and operational questions, driving ROI, and improving margins. Predictive Machine Learning is truly useful when predictive output is embedded within applications as native features. Line of Business demands for prescriptive insights, coupled with a scarcity of skilled data scientists, compel business people to become ‘citizen data scientists’ to drive predictive capabilities. It is time to think differently about Predictive Machine Learning and how it can transform the work experience.brbr Join host Bonnie D. Graham as she invites you to take an additional coffee break with game-changers in our series on how SAP is redefining the role predictive capabilities plays in business, on Game-Changing Predictive Machine Learning.

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Game-Changing Predictive Machine Learning, Presented by SAP

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