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I have written several times recently about the importance of data in supporting artificial intelligence (AI), including generative AI (GenAI) and agentic AI. From a data platforms perspective, this is most evident in the role that analytic data platforms play in supporting the training and fine-tuning of AI models. Operational data platforms also have a role to play in supporting enterprise AI...
Read MoreTopics: AI, Data Platforms, AI & Technologies, Agentic AI
The need for effective cybersecurity strategies remains a priority as enterprises face ever-increasing complex cyber threats. Nonetheless, the conventional approach in which IT departments, especially Chief Information Officers (CIOs) and Chief Information Security Officers (CISOs), exclusively manage the procurement of cybersecurity software, is showing its limitations. A crucial shift is...
Read MoreTopics: Collaboration, Cybersecurity, Security Posture, Generative AI, IT & Technologies, Agentic AI, Data Backup and Recover, EDR
The annual RSAC Conference took place in late April in San Francisco, where over 40,000 professionals from the cybersecurity industry converged at the Moscone Center to discuss the latest trends, products and services aimed at threat identification and organizational security.
Read MoreTopics: Cybersecurity, GenAI, IT & Technologies, Agentic AI, EDR, XDR, PAM, SIEM, IAM, Quantum, Threat Intelligence, SOAR, Data Recovery, Data Resilience, ZTNA
I have previously explained how increased enterprise focus on artificial intelligence (AI) and agentic AI is a forcing function for enterprises to take long-overdue steps to improve data management and data governance. Data is integral to AI: large volumes of data are required to train models, while data freshness is important for inferencing in interactive applications and data quality is...
Read MoreTopics: Governance, Data Management, Generative AI, AI & Technologies, Agentic AI
