What is an accelerator?
Understand Added Value of Weather Data
Improve Business Outcomes
Achieve Financial Success
Help organizations understand the added value of including weather data in their business analytics.
Help organizations improve business outcomes by predicting and quantifying the impact of weather on their business.
Help organizations achieve financial success by applying the insights of weather-driven outlooks for more business value.
End-to-end AI Ladder application
An architecture enabling you to extract meaning from your data
From cataloging data through a glossary of terms to model development and deployment, simplify the lifecycle of your AI project
Composable and extensible pattern that can be applied to new data and industries
IBM Cloud Pak for Data
Built on Red Hat® OpenShift® Container Platform, IBM Cloud Pak for Data accelerates your journey to AI to transform how your business operates with an open, extensible data and AI platform that runs on any cloud.
Watson Knowledge Catalog
Help your data users quickly find, curate, categorize and share data, analytical models and their relationships with other members of your organization.
Empower your data science and AI teams to refine data and visually build and deploy models, using data on the desktop for anytime, anywhere access.
Watson Machine Learning
Deploy, monitor, and optimize models quickly, easily, and at scale.
IBM Knowledge Accelerators
IBM Knowledge Accelerators offer pre-created, extensive, curated glossaries to improve data classification, regulatory compliance, self-service analytics and other governance operations.
Retail Analytics with Weather
Use The Weather Company data to help you understand how a retail inventory manager, marketer and retail sales planner can quickly determine the optimal combination of store, product and weather condition to maximize revenue uplift, know what to keep in inventory, where to send a marketing offer or provide a future financial outlook.
Manufacturing Analytics with Weather
Use The Weather Company data to help you understand how a manufacturer can quickly identify the reasons why there are high amounts of scrap rate to save money and deliver quality product. This demonstration shows how weather was the key driver leading to reducing scrap rate using statistical analysis and dashboards using Cloud Pak For Data (CP4D).