Agentforce

Government

Trusted & Resilient SaaS Data is Essential for Successful Agentic AI within Government Agencies

Trusted and resilient data is essential for successful applications of AI, which require accessible, reliable, relevant, and error-free data.

Eoghan Casey
Own Discover

Highlights From Salesforce Ben’s Review of Own Discover

By providing easy access to historical data in a time-series format, Discover empowers teams across the organization to make smarter, faster decisions.

Editorial Team
Backup and Recovery

New: Use Your Backups Faster with Own Recover

Own Recover’s new backup processing enhancement ensures faster backup time to value, putting lower RTO and accelerated Agentforce innovation within reach. 

Christie Clements
Data Resilience

Redefining Data Resilience: The Foundation of Agentforce Innovation

Modern data resilience goes beyond protection to encompass traits like reliability, relevance, and readiness.

Mike Melone
Data Analytics

CIOs Want To Be Data-Driven. Here’s What’s Holding Them Back.

If organizations are serious about transforming and preparing their business for the future, CIOs and their teams cannot continue to rely on delayed or fragmented data.

Mike Melone
Agentforce

How Salesforce Admins Can Use Historical Data to Drive Agentforce Success

Agentforce relies on robust, time-series data to recognize patterns, identify trends, and make accurate predictions.

Mike Melone
Own Secure

Streamline Salesforce Security to Accelerate Your Next Innovation

Salesforce is powerful and flexible, but that same flexibility can make maintaining proper security a challenge.

Company News

It’s Official: Own Joins Salesforce

Joining the Salesforce team marks a new chapter for Own, and we’re excited to continue our mission of helping customers protect, manage, and activate their SaaS data.

Editorial Team
Salesforce

Fuel AI and Forecasting: Is Your Salesforce Data Prepared?

According to Salesforce’s Research, 80% of business leaders say data is critical in decision-making, yet 41% cite a lack of understanding of data because it is too complex or not accessible enough.

Mike Melone