SAP


Can Machine Learning Become More User-Friendly?

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But today's data scientists are developing next-generation approaches to make machine learning more, well, approachable. To combat this issue, MIT created SystemsThatLearn@CSAIL, an initiative to build next-gen machine learning algorithms that are much more understandable, providing IT experts -- not just data scientists -- the ability to pinpoint and fix problems. Training data won easily, with 52 percent of data scientists saying they would rather accidently delete their machine learning code than delete their training data. "Not only can machine learning be applied to almost every line of business or department, but it can also help small businesses run predictive analysis to help them more effectively see around corners," said Mike Flannagan, senior vice president, SAP Analytics and SAP Leonardo.


Are You Joining The Machine Learning Revolution?

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The really exciting bit is the potential for more sophisticated machine learning in business applications. As Markus Noga, head of Machine Learning Incubation at SAP, puts it: "Machine learning has revolutionized consumer applications, and the time is now to revolutionize enterprise applications." In March 2017, SAP and Google Cloud announced a strategic partnership focused on developing and integrating Google's best cloud and machine learning solutions with SAP enterprise applications. At the recent SAPPHIRE NOW, SAP and Google Cloud discussed machine learning in a keynote session.


Machine Learning: Making Customer Service Operations Smarter and More Strategic

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To help companies keep up with customers' growing expectations, SAP Service Ticket Intelligence automatically categorizes customer tickets, proposes solutions and prioritizes the tickets for customer service employees. As part of SAP Leonardo Machine Learning, the SAP solution portfolio of intelligent services and applications, SAP created an intelligent business service to automatically categorize incoming service tickets and provide resolution recommendations for the agents. At the same time, if a company has unique needs, it can develop its own intelligent service ticket solution leveraging the SAP Service Ticket Intelligence as business service on SAP Cloud Platform directly. SAP Cloud Platform also offers integration services to connect a company's knowledge base, classification taxonomy, and problem or resolution data to the SAP Service Ticket Intelligence business service to easily train it to infer classifications and resolutions for the contact center.


Assessing Infor's new Coleman AI applications and platform

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The short answer: Require users to upgrade to the CloudSuite SaaS ERP package. "Just keep in mind that their partnership with [Amazon Web Services] means that those companies are in the cloud, but they might not be running Infor's multi-tenant SaaS product [CloudSuite]," which Reed said is in its early stages. Reed compared Infor's Coleman platform and AI applications to similar efforts by competitors SAP and Oracle, calling all three "aspirational announcements" not yet backed by customer testimonials. Infor's strategy of embedding Coleman AI applications and technology in its product "stack" appears to be similar to the approach taken by Oracle, according to Reed.


Machine Learning - Let's talk AI - SAP's Sven Denecken

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Compare the Cloud interviews Sven Denecken, SVP, Head of Product Management and Co-Innovation S/4HANA of SAP. Sven talks about how SAP the areas of Artificial Intelligence they are using within the business. What does Artificial Intelligence (AI) mean? Artificial Intelligence (AI) is the area of technology that focuses on creating intelligent machines that react and work like people.


Deloitte and SAP Collaborate for Machine Learning, IoT and Blockchain

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Deloitte Consulting and SAP also intend to create new "micro-services" that extend the capabilities of SAP Leonardo, with an initial plan to focus on offerings that address evolving machine learning, analytics, and IoT needs in finance and throughout the supply chain. Through this collaboration, we're building a foundation--a set of co-innovation practices and processes--that will help position Deloitte Consulting to continuously develop and refine digital solutions for clients across industries," said Jim Moffatt, Deloitte Managing Partner, Global Consulting. "By working together to invent digital solutions that address tomorrow's finance and supply chain needs, SAP will gain Deloitte Consulting's in-depth business process knowledge and understanding of how organizations will use technologies in the future. Deloitte Consulting and SAP also plan to develop and release a series of industry-specific offerings to help organizations accelerate digital transformation with software as a service (SaaS), providing "SaaS Innovation for Digital Core" to industries.


SAPVoice: Banking And AI: Why We Also Need The Human Touch

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While people versus machines arguments grab headlines, the most successful banks will use a combination of humans and AI to prevent fraud. The California-based startup is infusing AI into its software solutions to help banks address financial crime, risk and compliance. Reddy said that running machine learning algorithms on SAP HANA speeds up performance by a factor of 20. While people versus machines arguments grab headlines, the most successful banks will think about machine learning beyond short-term automation benefits.


[session] SAP in the Public Cloud @CloudExpo @Ocean9inc #Cloud #Analytics #Security

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With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Join Cloud Expo @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 21st Cloud Expo @ThingsExpo October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.


Banking And AI: Why We Also Need The Human Touch

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Cue artificial intelligence (AI) and machine learning, the latest technologies promising financial institutions a way to outflank criminals in the world of digital finance. The California-based startup is infusing AI into its software to help banks address financial crime, risk and compliance. A member of the SAP Startup Focus program, Quantiply has been working with SAP since the inception of SAP HANA. Reddy said that running machine learning algorithms on SAP HANA speeds up performance by a factor of 20.


How to Thrive -- and Survive -- in a World of AI Disruption

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The challenge we face today is not a "world without work" but a world with rapidly changing work. The challenge we face today is not a "world without work" but a world with rapidly changing work. In a very different case, the giant German software company, SAP, launched Africa Code Week two years ago to empower young Africans with coding skills. MIT IDE hosted the AI and Machine Learning Disruption Timeline Conference on March 8, 2017, to showcase these emerging technologies and demonstrate their potential.