In today’s fast-paced business environment, AI-driven analytics are transforming how organizations make data-driven decisions. With Oracle Analytics Cloud (OAC), you can now leverage machine learning to automatically detect patterns, anomalies, and trends in your data—without the need for a dedicated data science team!
Key Benefits:
- Automated Insights: AI-driven analytics helps you uncover hidden trends and opportunities in your data with ease.
- Faster Decision-Making: Get real-time insights, enabling you to make smarter decisions quickly.
- Predictive Analytics: Take a peek into the future by predicting trends and customer behavior, all powered by AI.
New self-service AI capabilities, including generative AI assistants and augmented analytics help organizations improve how data impacts decision making
Oracle showcased new AI-powered capabilities within Oracle Analytics Cloud. Leveraging the Oracle Cloud Infrastructure (OCI) Generative AI service, the new capabilities assist analytics self-service users to more quickly and efficiently conduct sophisticated analysis and make better business decisions without having to wait for data scientists or IT teams.
Newly announced capabilities include:
- Generative AI Data Interactions: Help users, such as business analysts, interact with data and dashboards using natural language and generative AI-created responses. The new assistant goes beyond standard chat-based interactions and helps translate data into compelling interactions that bring analytics to life. In addition, photorealistic, AI-generated avatars, enabled via a partnership with Synthesia, can act as news readers to deliver powerful and insightful data stories to business decision-makers.
- AI-Powered Document Understanding: Enrich analytics by using a new integration with OCI AI Services that applies AI models to read documents—such as JPEG and PDF files—and extract key values and their context. This helps organizations unlock information from documents to generate additional insights, even if the information has not been recorded in a central database. For example, this service can read individual pictures of receipts to ensure the totals match those reported in expense reports.
- Contextual Insights: Make interacting with analytics dashboards a more informative and engaging experience for consumers by using machine learning to recommend insights based on the type and state of the data being viewed. These insights help users understand the meaning of the data without additional interpretation extending the augmented analytics already offered by Oracle Analytics Cloud.
- Collaboration Software Integrations: Enable users to post dashboards, visualizations, and insights into real-time discussions through a new integration with Microsoft Teams. As with the previous integration with Slack, users can have informed and engaging discussions with their colleagues to better facilitate data-driven decisions within the collaboration tools that they are already using.
Enchant Apps has a team of Oracle Cloud experts across all modules. If you are interested in learning more or have a project where you need Oracle cloud expertise, feel free to contact us!