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AI is the New Black

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On February 9, 2017, two technology market leaders made announcements: SAP unveiled its next-generation intelligent ERP system, and Nvidia announced that demand for artificial intelligence (AI) applications was driving demand for its graphics platform. Simply speaking, cognitive computing refers to self-learning systems that mimic the way the human brain works. In the SAP announcement, the "intelligent" piece of "intelligent ERP" comes from a digital assistant (SAP CoPilot) of which users can ask questions and to which they can give commands via voice, text, or gestures, just as they would to a human assistant. We might do the same on our path to build artificial intelligence brains."


SAP Fieldglass Live Insights Uses Machine Learning to Simulate External Talent Scenarios in Moments

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CHICAGO, April 20, 2017 –SAP SE (NYSE: SAP) today announced SAP Fieldglass Live Insights, a new machine learning-powered data-driven insights service that makes it possible for executives to benchmark, plan, predict and simulate external talent scenarios. The new SAP Fieldglass service is the result of partnering with SAP Data Network to create this capability that is powered by SAP HANA . With SAP Fieldglass Live Insights, organizations can benchmark market rates, hiring cycle times and supplier performance as part of a seamless process that culminates with decisions about external talent and their engagement, using SAP Fieldglass data and trusted, supplemental third-party data that has been aggregated, anonymized and normalized. Organizations also can upload their own employee data into SAP Fieldglass Live Insights to gain visibility of their talent across channels in real time. Rob Brimm, president, SAP Fieldglass, said: "With access to the most robust data via SAP Fieldglass Live Insights, our customers can analyze and make decisions at speed about their external talent – arguably one of their most valuable assets – as they race to become more competitive in every aspect of their business.


AI is the New Black

#artificialintelligence

On February 9, 2017, two technology market leaders made announcements: SAP unveiled its next-generation intelligent ERP system, and Nvidia announced that demand for artificial intelligence (AI) applications was driving demand for its graphics platform. On the face of it, these announcements were business as usual – routine sound bites that proliferate in the tech news landscape. Look a bit deeper, though, and you realize that this day marked a profound shift in both the way businesses use technology and the implications for the rest of us. For decades, developing a computer that could think has been the Holy Grail of technology. And while we have made tremendous progress in our ability to process vast amount of data, the "thinking" part has remained mostly elusive.


SAP Named 'Leader' in Predictive Analytics and Machine Learning

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Machine Learning involves algorithms that learn from and make predictions on data and, generally speaking, more data means better predictions. Combine that with the vast amounts of data that most organizations are now generating, and the transformational potential of Machine Learning is nothing short of amazing. It's no surprise that Predictive Analytics and Machine Learning are two of the hottest areas in analytics today, as organizations see their potential to help with Digital Transformation. Enterprises are investing heavily with the hope of reaping big business benefits from smarter business processes & better decisions that improve their Return on Investment. Let's be honest though, many of us don't understand how the complex algorithms that make Machine Learning work translate into measureable business results, and there is so much hype that it's difficult to separate great marketing from great products.


AI is the New Black

#artificialintelligence

On February 9, 2017, two technology market leaders made announcements: SAP unveiled its next-generation intelligent ERP system, and Nvidia announced that demand for artificial intelligence (AI) applications was driving demand for its graphics platform. On the face of it, these announcements were business as usual – routine sound bites that proliferate in the tech news landscape. Look a bit deeper, though, and you realize that this day marked a profound shift in both the way businesses use technology and the implications for the rest of us. For decades, developing a computer that could think has been the Holy Grail of technology. And while we have made tremendous progress in our ability to process vast amount of data, the "thinking" part has remained mostly elusive.


The Essential Ingredient In Enterprise AI: Good Data

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When it comes to getting the most out of artificial intelligence, large quantities of high-quality data are essential. For example, Google's algorithms have learned to read lips, by watching thousands of hours of television. The algorithms were even able to discern the concept of a "cat" from first principles, using the vast contents of Google's YouTube video library. Machine learning algorithms are now being applied to the world of work, and they will be able to process much larger data sets than human experts. For example, a radiologist who looks at medical scans for a living might see tens of thousands of them over a lifetime, developing deep expertise.


Machine Learning SAP

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In the past, you needed specialized talent to put machine learning into action: "Quants" who are educated in the language and methods and "translators" who could bridge the disciplines of data, machine learning, and decision making to reframe complex results into executable insights. Now modern business applications take on the roles of data scientists. They feature user-friendly interfaces and integrated AI technology that let business users reap the rewards of machine learning – without extensive training, and often with the push of a few buttons.


Catching up with the #1 buzzword: Artificial Intelligence

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The areas of machine learning, cognitive science, natural language processing, robotics and all the other parts that make artificial intelligence where academic disciplines that had not hit the broad markets yet. SAP took a plunge into hot water with the in-memory database SAP HANA and by re-engineering its classical ERP. In terms of data storage, SAP flagship product over the last years has been the SAP HANA in-memory database. There are already 3rd party AI-tools that you can integrate into your solution, such as image processing tools and speech recognition.


SAP Development Chief Pushes Artificial Intelligence

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Smart machines and digitalization will boost rather than cut employment -- but people must get used to constant retraining to keep pace with change, the development chief of German software giant SAP tells Handelsblatt. SAP is the world's biggest supplier of business software and is shifting its business model towards cloud computing services. People are too negative about digitalization and artificial intelligence and should embrace new technologies as job creators rather than job killers, Bernd Leukert, the head of development at German business software giant SAP told Handelsblatt at the Davos World Economic Forum last week. Mr. Leukert, who has global responsibility for development and delivery of all products across SAP's product portfolio, added: "Even though intelligent systems can increasingly take over standard tasks, new business areas and job profiles are being created that offer new opportunities for employment."


Silicon Armada - Tech Jobs for Tech People

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As the cloud company powered by SAP HANA, SAP is a market leader in enterprise application software, helping companies of all sizes and industries run better. In nine locations around the globe, it combines the best of two worlds: the creativity and agility of startups with the backbone of a world market leader in business software. As a Senior Researcher / Research Expert for Deep Learning, you will work with world's best researchers and universities transforming results of research projects into reusable, production ready machine learning services. Required Preferred WORK EXPERIENCE LOCATION Berlin, Germany EXPECTED TRAVEL 0 - 10% SAP'S DIVERSITY COMMITMENT To harness the power of innovation, SAP invests in the development of its diverse employees.