Oracle Empowers Customer Experience Professionals with New Artificial Intelligence Apps

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Oracle have announced new artificial intelligence based customer experience apps that empower commerce, marketing, sales and service professionals to deliver smarter experiences across the customer lifecycle in real time. The new Adaptive Intelligent Apps for CX uniquely blend first-party and third-party data with sophisticated decision science and machine learning to deliver the industry's most powerful AI-based customer experience solutions. Adaptive Intelligent Apps for CX are designed to enhance existing commerce, marketing, sales and customer service applications within the Oracle CX Cloud Suite. Adaptive Intelligent Apps are powered by insights from the Oracle Data Cloud, which is the largest audience data marketplace in the world with a collection of more than 5 billion global consumer and business IDs and more than 7.5 trillion data points collected monthly. By applying advanced data science and machine learning to Oracle's web-scale data and an organisation's own data, the new Adaptive Intelligent Apps for CX have an unprecedented ability to react, learn and adapt in real time based on historical and dynamic customer data such as click-stream and social activity as well as inputs such as weather, lookalike audiences and Internet of Things (IoT) data.


Oracle delivers artificial intelligence across its customer experience cloud

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Oracle announced a slew of AI-driven capabilities across its Customer Experience Cloud Suite today that are designed to help users to deliver better, faster and more personal experiences. If you think you've heard this before, it's because Oracle joins its customer experience competitors in offering a similar set of capabilities complete with underlying artificial intelligence they are calling Adaptive Intelligence technology. To give you a sense how broad Oracle's customer experience offering is, the suite includes Oracle Marketing Cloud, Oracle Sales Cloud, Oracle CPQ Cloud, Oracle Commerce Cloud, Oracle Service Cloud and Oracle Social Cloud. The company hopes to use its flavor of AI technology to bring a level of automation and machine learning to a set of tasks, fueled by the data its many customer experience clouds are collecting. And Oracle claims to have boatloads of data -- a collection of more than 5 billion global consumer and business IDs along with more than 7.5 trillion data points collected on a monthly basis, according to the company.


Q&A: Oracle adaptive intelligence strategy pervades apps

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Over the last few years, AI and machine learning technologies have been rapidly adopted by software vendors across all fields, from IT to analytics to data management. Oracle, one of the world's largest vendors in the enterprise IT space, is no exception. Last year, the vendor increased its AI tools with a major expansion to Oracle Adaptive Intelligent Apps, which sought to bring AI and machine learning capabilities to HR, finance, e-commerce and sales applications, among others. By bringing AI to its various platform offerings and to the cloud, the Oracle adaptive intelligence software looks to deliver machine learning capabilities that are ready to go and easy to use across a variety of domains -- even though the vendor is playing catch-up in some regards with the technology, which it refers to more informally as Oracle AI Apps. The interview was conducted at The AI Summit in San Francisco, where Oracle representatives presented a keynote.


Oracle Brings AI to Manufacturing

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Oracle this week announced it will extend the reach of machine learning algorithms and related artificial intelligence (AI) applications into the realm of manufacturing. Ramchand Raman, vice president of product development for Oracle, says Oracle Adaptive Intelligent Applications for Manufacturing will employ machine learning and AI to process vast amounts of data to identify issues before they occur while also serving to improve overall operational efficiency. Oracle has already developed 150 key performance indicators (KPIs) for manufacturing firms that will serve as the baseline for which it will analyze manufacturing processes using machine learning algorithms and AI models. Over time, customers will be able to add their own KPIs, machine learning algorithms and AI models, says Raman. Specifically, Oracle Adaptive Intelligent Analytics for Manufacturing identifies patterns and correlations across variables such as manpower, machine, method, material and other management-related information.


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#artificialintelligence

Oracle announced a slew of AI-driven capabilities across its Customer Experience Cloud Suite today that are designed to help users to deliver better, faster and more personal experiences. If you think you've heard this before, it's because Oracle joins its customer experience competitors in offering a similar set of capabilities complete with underlying artificial intelligence, they are calling Adaptive Intelligence technology. To give you a sense how broad Oracle's customer experience offering is, the suite includes Oracle Marketing Cloud, Oracle Sales Cloud, Oracle CPQ Cloud, Oracle Commerce Cloud, Oracle Service Cloud and Oracle Social Cloud. The company hopes to use its flavor of AI technology to bring a level of automation and machine learning to a set of tasks, fueled by the data its many customer experience clouds are collecting. And Oracle claims to have boatloads of data -- a collection of more than 5 billion global consumer and business IDs along with more than 7.5 trillion data points collected on a monthly basis, according to the company.