5 Questions Services Firms Should Ask Before Jumping Into AI
Service firms should approach AI today like the early days of cloud computing. They must keep in mind that not every client, partner, or internal team is ready for it yet.
Service firms should approach AI today like the early days of cloud computing. They must keep in mind that not every client, partner, or internal team is ready for it yet.
In this week's real-time analytics news: Databricks introduced Lakehouse Apps and teased some news to come from this week’s Data+AI Summit.
The integration of fuzzy logic and AI presents significant opportunities for organizations like smart automotive manufacturers to enhance their supply chain management practices.
The huge rise in data from various sources is forcing observability practitioners to modify their approaches considerably.
Data Reliability Engineering: Ensuring the Consistent Delivery of Trustworthy Data in Modern Cloud Environments Why data reliability is critical Today, hybrid and multi -cloud environments are the norm. Most enterprises have partially orcompletely moved their applications and mission-critical workloads to the cloud for cost control,app reliability, anticipated on-premises resource reduction, and more. The transition to […]
In this week's real-time analytics news: AWS announced the general availability of Amazon Security Lake, and numerous companies jump on the generative AI platform adding AI-assisted support to their solutions.
Protecting an organization from cybercrimes is increasingly important as businesses modernize, digitally transform, and move to the cloud.
Mike Pickett, Vice President of Growth for StreamSets (now part of Software AG), talks about mainframe data access for reporting and analytics.
Data needed for ESG reporting must be easily available to the cloud services to assist in analysis. Smart data pipelines can help.
In this week's real-time analytics news: SAP SE and its partners made multiple announcements at the SAP Sapphire conference.