AI Forecasting
Oracle Cloud Infrastructure (OCI) Forecasting delivers univariate and multivariate time-series forecasts through statistical, machine learning, and deep learning algorithms. Using REST APIs and SDKs, developers can quickly implement OCI Forecasting to predict key business metrics—all without data science expertise.
Wydarzenie Cloud Native and AI Day | poniedziałek, 20 marca | Bezpłatne — dołącz osobiście lub online
Poznaj najlepsze praktyki, wskazówki i zalecane zestawy narzędzi, które upraszczają wdrażanie technologii chmurowych i sztucznej inteligencji, aby przyspieszyć innowacyjność aplikacji w przyszłości. Dołącz do nas osobiście lub online.
Why use OCI Forecasting?
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Automatic data preprocessing
Includes processes to automatically address preprocessing. Handles missing values, outliers, and quality issues; and aggregates temporal data.
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Automated best model selection
Automatically selects the best training algorithm based on the fewest rolling over cross-validation errors and provides the three best-performing model results.
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Explainability and confidence intervals
Outputs explainability and points out influential features in the data. Also provides confidence intervals to help with decision-making while considering variations.
How OCI Forecasting works
Upload time series data into OCI Object Storage in JSON or CSV format. Generate forecasts, confidence intervals, and explainability using OCI Forecasting. Visualize forecast result insights on the OCI console, Oracle Analytics Cloud, or on your enterprise platform.
Use cases for OCI Forecasting
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Sales demand forecasting
Predict how many products a store will sell of each SKU using information such as historical sales, price, discounts, weather, and holidays. This helps ensure better promotion planning and inventory management.
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Incident or service tickets forecasting
Predict how many incidents or service tickets will arrive through various channels—such as phone, mail, and SMS text—using historical data, planned releases, service outages, holidays, and more. This helps predict resource utilization and near real-time resource requirements as well as improve customer satisfaction.
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Capacity planning for compute, storage, and networking
Predict hardware demand to support procurement, cut costs, and avoid losing customers due to unavailability.
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Utility forecasting
Predict utility consumption, including water, electricity, and gas, for commercial and residential buildings at the tenant level to support procurement, save money, ensure efficient budget planning, and reduce waste.
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Shipment forecasting
Predict orders and shipments from one city to another for improved logistical planning, transportation decisions, and cost savings.
Are you harnessing the power of your time series data?
Akash Srivastav, Principal Product Manager, Oracle
Machine learning has changed the way data is used to predict future trends and opportunities. The new fully managed OCI Forecasting service provides time series forecasts through advanced machine learning and statistical algorithms without the need for data science expertise.
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Get started with OCI Forecasting
Try Always Free Services and get a 30-day trial
Oracle offers a Free Tier with no time limits on services that include Oracle Cloud Infrastructure Media Streams, Oracle Cloud Infrastructure Media Flow, and Oracle Cloud Infrastructure AI Services as well as US$300 in free cloud credits.
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What’s included with Oracle Cloud Free Tier?
- 2 Autonomous Database instances, 20 GB each
- AMD and Arm Compute VMs
- 200 GB block storage
- 10 GB object storage
- 10 TB outbound data transfer per month
- More than 10 other Always Free services
- US$300 in free credits for 30 days
OCI Forecasting beta is available
To participate, sign up for Oracle’s beta program and choose Forecasting LA Beta.
Get hands on today with the OCI Forecasting workshop
Explore forecasting and explainability and learn more about the service for free and without any special allowlist needed.
Use OCI Forecasting to quickly create forecasts for your business
This reference architecture illustrates the relationship of various components with OCI Forecasting at its core. It provides recommendations for additional considerations, such as security, availability, performance, and cost, to build a forecasting environment for any use case.