Insight Software

MARCH 13, 2024

And when your framework can no longer install cybersecurity patches, it becomes vulnerable to potential threats. Maintaining a strong cybersecurity stance is crucial, and it’s top-of-mind for developers. Discover these five resources to understand the role of AI and machine learning in embedded analytics.

Embedded Analytics 52

Embedded Analytics Cybersecurity Business Intelligence Business Intelligence 52

Sisense

AUGUST 14, 2020

Safeguarding software and users: AI in cybersecurity apps. One of the most exciting AI use cases today is happening in the field of cybersecurity, where AI methods are now commonly used to detect malware and malicious virus code embedded in files before they can do harm to systems.

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98

Domo

JULY 8, 2021

Then there are: the vendors who provide the tools you need to create applications such as operating systems; and the SaaS applications you need to provide business value including business intelligence and data visualization tools. You should also consider governance models for sharing data with customers and partners outside your company.

Data Governance 52

Data Governance Government Embedded Analytics Data Warehouse 52