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Discover how to overcome AI development roadblocks, and learn how to accelerate AI development. Watch this live webcast on February 4 at 10:00 a.m. PT/1:00 p.m. ET.
Forward-looking organizations are embedding AI and machine learning technologies into their infrastructure and fundamental business processes. In this new research from Harvard Business Review Analytic Services, discover why they are making these critical investments.
Oracle offers various development tools and prepackaged AI solutions that help customers accelerate their adoption of AI and machine learning (ML). Speed your time to value with prebuilt AI capabilities or leverage integrated PaaS and IaaS to build custom, AI-powered applications. Oracle is also embedding machine learning into many of our cloud services—most notably our Autonomous Database—so your business can realize new, innovative capabilities while improving operations and security.
Oracle offers a complete portfolio of products, services, and differentiated capabilities to power your enterprise with artificial intelligence. For business users, Oracle offers ready-to-go AI-powered cloud applications with intelligent features that drive better business outcomes. With Oracle’s ready-to-build AI platform, data scientists and application developers have a full suite of cloud services to build, deploy, and manage AI-powered solutions. With Oracle’s ready-to-work Autonomous Database, machine learning is working behind the scenes to automate security patching, backups, and optimize database query performance, which helps to eliminate human error and repetitive manual tasks so organizations can focus on higher-value activities.
Oracle offers a comprehensive portfolio of data management solutions consisting of the world’s first autonomous database and large-scale NoSQL, big data, and streaming data platforms. Oracle delivers unmatched scale for storing and processing virtually any data format—structured or unstructured—giving data scientists the ability to access the data they need to prepare high-quality input data and build more accurate machine learning models.
Oracle’s infrastructure is optimized for faster, concurrent, and distributed training of machine learning models that require high quality input data and large amounts of compute capacity. Oracle’s infrastructure offers high-throughput data pipelines that feed input data at high speeds to massively parallel GPU and CPU compute clusters over a high-bandwidth networking layer.
Oracle offers an integrated, end-to-end platform to build AI-driven applications—from data source to data science to intelligent application. Leverage the data you need to build machine learning models using the latest open source frameworks like Tensorflow, Keras, H2O.ai, and Caffe2. Deploy models as REST APIs from Oracle’s data science platform and build intelligent applications around those APIs with Oracle’s broad range of application development platforms.
Oracle’s suite of SaaS applications with embedded AI capabilities transforms your business with smarter outcomes such as recommended sales actions, intelligent supplier categorization, smart candidate lists, and personalized product recommendations. These applications span the entire enterprise from ERP to customer experience—to enable digital transformation.
See why Oracle is the right partner to help guide your journey with AI. Watch the on-demand webcast.
Explore considerations on ethics and data in the age of artificial intelligence. Watch the on-demand webcast.
Discover how to unleash the power of your data. Join us for a webcast series that explores the benefits of Oracle Autonomous Database. Register today.
The University of Adelaide uses AI-powered chatbots to improve the student experience while reducing contact center activity by 40%.
This Fortune 100 utilities company plans to reach millions of customers using Oracle’s AI-driven chatbots.
Accenture helps clients connect AI chatbots with Oracle SaaS to provide a seamless user experience.
IDenTV uses Oracle AI to deliver value faster when analyzing multimedia and big data video content.