In the latest release of Bolt Data Connect, we’re leveraging the powerful capabilities of Salesforce Agentforce and Einstein to give you new ways to communicate, control and understand how your connected assets are performing. This release also introduces new functionality to Automatically geo-code things along with a major enhancement to the Change Management Tools.
The new Connected Asset Agent feature revolutionizes the way you interact with connected assets in Bolt Data Connect. Using natural language in a chat window, you can ask the AI-powered bot, Sparky, questions about an asset’s performance based on IoT telemetry data and alert history, unlocking instant insights.
Examples of questions you can ask the Connected Asset Agent:
For Salesforce orgs using Agentforce, the Connected Asset Agent integrates easily via Agentforce Actions. This integration enables users to access real-time insights on asset performance directly within Agentforce, providing a richer user experience.
Users can pick from several language models right out of the box:
Language model availability is subject to change.
Managing assets is now even easier with significant upgrades to the Change Management features in Bolt Data Connect. These improvements provide enhanced clarity, stability, and efficiency in tracking changes and deploying assets. They also streamline the syncing of Thing Type setups and configurations, making deployments faster and simpler.
Key enhancements:
Batch Syncing for Improved Efficiency
Comprehensive Audit Trail
Managing a large number of assets requires precise location tracking. With this release, assets are automatically geo-coded with latitude and longitude coordinates, calculated using the Address fields object. This eliminates the need to manually look up coordinates for individual asset locations, saving time and enabling admins to maximize the map view in the IoT Console for all assets.
Built with Lightning Web Components (LWC), the new Sensor Gauge lets you easily create custom Screen Flows to display asset sensor values as gauges, progress bars or progress rings. Plus, ready-to-use templates are available to get started visualizing sensor values quickly.