If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Infrastructure around the world is being linked together via sensors, machine learning and analytics. We examine the rise of the digital twin, the new leaders in industrial IoT (IIoT) and case studies that highlight the lessons learned from production IIoT deployments. Software AG and SAP have partnered to better surface supply chain management data with the aim of improving product quality. The news, which landed as Software AG held its Capital Markets Day, highlights how multiple players are forming partnerships to focus on the industry 4.0 market. Software AG's alliance with SAP will combine SAP's S/4HANA Cloud with Software AG's TrendMiner, which is self-service industrial analytics software for smart factories.
Artficial intelligence (AI) can be used in the frontline of customer service, helping customers get instant answers, fast outcomes and consistency. The infuriatingly long wait for a phone call with a live agent, just to receive an over-simplistic answer, is now being replaced with chatbot technology, powered by AI, for an immediate solution. "Chatbots are capable of sourcing data at a much faster speed than an individual working behind the scenes," explains Bernd Gross, chief technology officer at Software AG. "This not only speeds up the time taken to deliver a service, but it also frees up employees' time to focus on more value-added tasks." This frontline revolution is in its early stages, but there are a number of industries that have already embraced self-service customer experience.
If you're a long-time middleware and integration software company, how do you stay ahead when the whole world is going to cloud? Sanjay Brahmawar, CEO of Software AG, sees new possibilities on the horizon. I recently had the opportunity to chat with Brahmawar about the rise of the digital enterprise, what it takes to get there, and the new role he sees his company playing. . Q: What are the pain points for your customers these days? A: The biggest challenge for our clients and organizations is what happens to the data that's being created.
Pankaj brings more than 20 years of experience in enterprise software design and development to the venture. His business-critical solutions are in use by some of the world's largest enterprises including Cisco, Hewlett-Packard, Software AG and AT&T. Before founding Pulpstream, Pankaj was founder and CEO of LongJump, one of the first Platform as a Service offerings. LongJump was acquired by Software AG for $35 million under his guidance. Subsequently, he led Software AG's cloud initiatives as GM of Agile Apps.
Software AG launches Nyoka, an open source library that eases transforming machine learning and AI models into standard Predictive Model Markup Language. Data scientists may breathe a little easier with Software AG's launch of a new open source library that eases the transformation of machine learning and artificial intelligence (AI) models into an industry-standard language. The Frankfurt-based company released its Nyoka library that enables data scientists to transform models for predictive analytics, AI and machine learning into the industry standard Predictive Model Markup Language (PMML). It unveiled Nyoka at the Big Data Conference in Santa Clara, CA, this week. The open source Python library, which supports the latest PMML standard, furthers Software AG's ongoing efforts in the area of open industry standards.
RESTON, Va.--(BUSINESS WIRE)--Software AG (Frankfurt TecDAX: SOW) today announced the availability of Nyoka, an open source library that enables data scientists to transform Artificial Intelligence (AI), Predictive Analytics and Machine Learning models into the Predictive Model Markup Language (PMML) industry standard. Nyoka is a Python library that provides comprehensive support for the latest PMML standard as well as extensions for data preprocessing, script execution and deep neural networks. Nyoka underscores Software AG's commitment to open industry standards and complements its Zementis predictive analytics for enterprise-grade, operational deployment of AI. Dr. Michael Zeller, Senior Vice President, AI Strategy & Innovation, Software AG, said: "To address the challenges that organizations face with complex AI solutions, frequent model updates, cross-platform execution as well as data integration, Software AG emphasizes a vendor neutral approach that provides users plug-and-play simplicity with a wide range of components. Nyoka streamlines the work of data scientists, reduces the complexities of deploying machine learning models, and gives them more time to focus on creating new models that deliver increased business value."
Although the quest for Artificial Intelligence (AI), equipping trading algorithms with human qualities such as self-learning, continues to fascinate, it will be the explosion of the Internet of Things that will soon re-energize trading in capital markets. The Internet of Things (IoT) is rapidly growing through the addition of sensors to machines that allow them to "feel." Once they are equipped with feelings-- particularly sight, sound and touch-- machines can behave more intelligently, for example optimizing operations to use less fuel or predicting when they need maintenance. However, an interesting side effect is that the data from the IoT could be a new source of "insider" data for trading firms. For example, if combine harvesters (accessorized with sensors) signal a bumper wheat cropin the U.S. grain belt, traders can take advantage of this information before the crop report is issued.
Artificial intelligence (AI) and the Internet of Things (IoT) go together like philosophy goes with Greece. It was AI, the IoT and a shared philosophy of openness that brought Software AG and Zementis together; first into a productive partnership and then into a merger of the two companies. Michael Zeller, co-founder of Zementis and now senior vice president of AI Strategy & Innovation at Software AG, said: "What we had in common was an open platform philosophy; that openness led us both to customer success during our partnership." The synergies were obvious, said Zeller. "As part of Software AG, we could do so much more; with Apama for streaming analytics and us for ML we can go way beyond what each could do separately."
A software-first approach that combines industrial IoT with AI together with real-time agile business processes is key if industrial companies are to retain control of their customer-bases, according to Software AG chief executive Karl-Heinz Streibich. Without building a mechanism to understand every customer's interactions with their products in real-time, and respond intelligently, also in real-time, industrial companies risk losing their customer-bases to increasingly powerful digitally disruptive web-based intermediaries. The result of such a loss could entail falling value-add, dwindling profitability and loss of market control for industrial companies. Mr Streibich was talking in Rome at the eve of the enterprise software developer's global sales kick-off event. According to Mr Streibich, industrial companies are facing an existential threat from digital disruptors.
Software AG Singapore, an enterprise software company has released its top predictions for the IoT in 2017, building on the company's predictions from 2016. There is going to be a lot of buzz around the Internet of Things (IoT) this year, with smart devices and chatbots taking center stage. Edge computing will enable better device monitoring, giving smart devices an opportunity to penetrate the healthcare arena. Also, augmented dynamic games will marry the artificial world to the physical world. "Smart Things" have their own needs – drones need landing areas and docking stations for recharging, robots require their own elevators – and architects will realize that buildings have to accommodate these needs and we will start to see substantial changes to the layouts of buildings.