SAP


Can resume-reading software help companies make better hires?

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SAP Resume Matching applies machine learning to the process of matching resumes and job descriptions, said DJ Paoni, SAP's Chicago-based Midwest managing director. "It really allows recruiters to focus on the important part of that whole process, which is interacting with the candidates, as opposed to poring through resumes and trying to match job descriptions," Paoni said. Automating the resume sorting process could also help remove bias from the hiring process, Paoni said, creating a more diverse candidate pool. SAP also plans to use machine learning to score job descriptions themselves -- a process that could help identify unconscious bias in listings.


Machine Learning with a Purpose

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As SAP partners with Google, machine learning models including vision API, speech API, translate API, and natural language API are all ready to use. And the SAP S/4HANA Connected Products team in SAP Labs China combined machine learning and virtual reality (VR) technologies in the SAP Connected Products solution, which Lin's designers use to evaluate market requirements and initiate the design process by using trendy elements based on different algorithms and shoe models created by machine learning engines. With VR glass to have a preview of what your self-designed shoes will look like on your feet and a 3D scanner to make your shoes a perfect fit, the co-innovation project brings the shoe shopping experience to the next level. "Through SAP's digital innovation platform, we gained agility and precision in designing and production, and reduced inventory.


TCS launches AI ignio for SAP operations - ET CIO

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New York – Mumbai: Tata Consultancy Services (TCS) today said that it has launched ignio for SAP ERP to help customers run their operations in SAP more efficiently and effectively. As such, ignio becomes an "intelligent virtual expert," in understanding how customers use SAP ERP for business operations and significantly enhancing the value of customers' investments in the SAP platform. "Many of our customers currently operate in an SAP environment. In addition, ignio for SAP ERP also comes with pre-built knowledge on the end-to-end management of SAP, including SAP application maintenance, OS management and database management, to simplify complex and challenging environments for customers.


SAP's Leonardo IoT Platform Incorporates Machine Learning, Analyt

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SAP's Leonardo IoT platform is a collection of software and services that embrace technologies like big data, analytics, blockchain, and machine learning. Leonardo will provide edge connectivity and will work with all types of connectivity protocols including cellular, WiFi, and even low-power options like Bluetooth. Leonardo will provide edge connectivity and will work with all types of connectivity protocols including cellular, WiFi and even low-power options like Bluetooth. Gandhi said that Leonardo is the underlying platform for Siemens' Mindshare IoT services.


How Well Is SAP Competing With Salesforce For The Future Of CRM?

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Going forward, we expect Salesforce to maintain its competitive edge and continue to add significant market share by leveraging artificial intelligence and machine learning. Gartner estimates that annual global cloud IT market revenue will grow to $390 billion by 2020, implying annual growth of 17%. Identifying Artificial Intelligence as a promising growth driver, the company acquired Prediction IO (machine learning), Metamind (deep learning), Implisit (data automation) and BeyondCore (machine learning). In its annual Dreamforce event, Salesforce launched Salesforce Einstein, an artificially intelligent CRM platform.


Data Scientist - Machine Learning Job

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SAP applications and services enable customers to operate profitably, adapt continuously, and grow sustainably. Machine Learning enables computers to learn from large amounts of data without being explicitly programmed. EXPECTATIONS AND TASKS As part of the SAP Innovation Center Network Machine Learning team, you will work together with a team of dedicated experts including researchers, developers, dev-ops engineers, and architects with a single goal of building best machine learning pipelines for a variety of use cases spanning commerce, financial markets, and procurement. Preferred Qualifications SAP'S DIVERSITY COMMITMENT To harness the power of innovation, SAP invests in the development of its diverse employees.


Melissa Di Donato, SAP: On intelligent ERP and how AI can change society

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As this publication reported in February, SAP is looking to S/4HANA, its public cloud offering, and adding artificial intelligence (AI) to ERP, helping customers to adjust and adopt business processes based on real-time data and insight. It's fast learning and embeds a lot of machine learning, and a lot of new innovative technology that's intelligent… [to] truly transform the way ERP is." I want to close my books – is quite complex when you're dealing with international reporting standards," Di Donato adds. "What we want to do is be able to allocate the mundane tasks to machines and machine learning technology, whilst taking the people and making them much more impactful on the business…giving them strategic roles, high impact roles, roles that can touch customers and service customers in a way that a machine can't.


Artificial Intelligence Moves Into Every Workplace: How HR Needs To Respond

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Chatbots, robots, virtual assistants, and other devices powered by business algorithms are rapidly joining the ranks of workers in every industry and profession. That way, AI will be a good thing for humanity and not the worst thing to ever happen to humanity." HR can help make sure AI isn't the worst thing to happen to humanity Tami Reiss, product strategist and creator of the Just Not Sorry app, said HR professionals need to think consciously about how AI aligns with the organization. AI and machine learning have potential to address recruiting bias across the job posting, application, and screening processes, but only if there are diverse teams of programmers writing the code behind solutions, and HR continuously audits collected data to ensure diversity.


My key takeaways from 2017 SAPPHIRE NOW

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Once again this year, I had the opportunity to attend SAPPHIRE NOW in Orlando, the largest global business technology event hosted by SAP and ASUG, with over 30,000 attendees. SAP Leonardo and machine learning The central point of this year's SAPPHIRE event was how to become a Digital Business with SAP's packaged digital platform called Leonardo. It involves an SAP consultative engagement with the client to help identify requirements and opportunities for smart applications that extend their core enterprise systems. I'll be looking forward to the upcoming SAP TechEd event to learn even more about customer experiences with SAP Leonardo and S/4HANA!


Everything You Need To Know About SAP's New-Look Leonardo Platform

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SAP Leonardo was originally released in January as an IoT platform, giving customers a place to track sensor data from connected assets and start to gain insight quickly. "It's about taking a business problem, which is specific to one customer, find the elements of that problem which are common across the industry, then defining the elements of a methodology, the technologies used to solve that problem and package those up and make them available as an accelerator for the next customers" It can be tricky to find a working definition of SAP Leonardo at this point because it is an umbrella term for a number of SAP technologies, all built on top of its open platform-as-a-service (PaaS) offering called SAP Cloud Platform. When asked how Leonardo can stand out in a crowded market, with rival vendors like IBM Watson and Microsoft Azure offering cognitive services, head of products and innovation at SAP Bernd Leukert said: "I agree there are a tonne of platforms out in the market, but these platforms are living in a silo. Mala Anand, executive vice president of analytics at SAP, said during her Sapphire keynote that "Leonardo is about the business, we start with a business problem, we apply our design thinking methodologies to define the desired solution and apply rapid prototyping to prove how we can make the solution a reality quickly."