This Week in AI, Nov 14, 2025: Databricks agentic accelerators, Salesforce to acquire Doti, VAST Data and Google team up, and more

Artificial Intelligence News: Week of November 14, 2025

This week's AI updates cut to the point: agentic systems are moving into the enterprise, data movement just got cheaper, and ops teams are getting AI copilots that actually reduce toil. If you lead IT or build software, here's what matters and why.

Big moves you should notice

• Salesforce to acquire Doti: Agentic search and "Work AI" unify enterprise knowledge inside Slack and Customer 360, enabling instant answers and recommendations within daily workflows. This is a clear step toward a unified agent layer inside core productivity tools. Read more
• Databricks launches cross-industry partner accelerators: Reference architectures and best practices for agentic AI, GenAI, and LLMOps give enterprises a faster on-ramp to production-grade automation. Expect standardized patterns for deployment, governance, and scale. Read more
• CoreWeave zero-egress migration: Frictionless data migration across clouds with no egress fees lowers switching costs and makes multi-cloud AI more practical. This removes a common blocker for teams chasing capacity and price across providers.
• VAST Data + Google Cloud: AI-ready infrastructure for hybrid and multi-cloud aims to streamline high-performance training and inference with secure, scalable data access.

Infrastructure, chips, and storage

• D-Matrix raises $275M: Funding targets faster inference with new memory/compute architectures focused on enterprise-scale AI.
• Pliops + DapuStor partnership: Integrated data processors with ultra-low latency SSDs promise tighter data pipelines for real-time AI workloads.
• SUSE updates for AI workloads: Simpler deployment, stronger security, and deeper observability across hybrid environments.
• Progress Software AI enhancements: New capabilities push for faster insights and more adaptable experiences in enterprise apps.

Observability, SRE, and ops

• Chronosphere AI-guided troubleshooting: Context-aware recommendations and guided workflows to speed root cause analysis and resolution.
• Deductive AI launches with $7.5M: SRE agents that automate RCA and cut incident time-promising significant reductions in pager fatigue and MTTR.
• Densify Kubex AI: Always-on agent with analytics and chat UI to optimize Kubernetes, GPU, and cloud resources for both experts and newer users.
• Kyndryl agentic AI services: Support for agent-driven workforce strategy and customer experience, with a focus on adaptive, autonomous assistance.

Data, governance, and search

• Cyera Access Trail: Full visibility into human and machine data touchpoints to monitor usage, changes, and compliance risk as agentic AI scales.
• Memgraph AI Graph Toolkit + MCP Client: Easier path from SQL/unstructured data to knowledge graphs and GraphRAG pipelines, speeding explainable, context-aware LLM answers.
• Algolia retail media report: Retailers lean on AI search, sponsored listings, and design-led personalization-favoring smarter, less intrusive ad models that respect user trust.

Skills and learning

• DataCamp acquires Optima: Real-time adaptive learning flows into the curriculum, pushing personalized upskilling at scale for individuals and enterprises.
• Pluralsight's 2026 Tech Forecast: The hype cools, skills rise. Expect hiring and strategy to reward practical capability over buzzwords.

Need a structured way to upskill your team fast? Explore curated training paths on Complete AI Training.

Responsible AI and research

• Sony AI fairness dataset: A new benchmark to help researchers evaluate and compare model fairness across varied decision domains.

Expert insights and upcoming sessions

• Nov 20: Enterprise AI agents in minutes-frameworks for secure, scalable multi-agent workflows with MCP (featuring Google Cloud and Informatica).
• Nov 25: API risk deep-dive-modern attacks, why traditional controls fail, and how Radware approaches detection and mitigation at scale.
• Predictions 2026: A growing collection of enterprise tech and AI predictions informed by expert commentary and sentiment tracking.

What this means for IT and dev teams

• Plan for agent layers: Start with narrow, high-leverage workflows (search, support, operations). Standardize context, guardrails, and observability from day one.
• Revisit data movement strategy: With zero-egress options emerging, re-evaluate cloud placement, replication, and cost models for training and inference.
• Make ops measurable: Bring AI into incident management, RCA, and capacity planning. Track MTTR, ticket deflection, and resource efficiency.
• Double down on governance: Instrument data lineage and access trails for both humans and agents. Tie policies to identity and purpose, not just roles.
• Invest in skills: Shift budgets toward practical developer and ops training. Prioritize AI literacy, observability, and secure AI integration.
• Harden APIs: Expect more AI-assisted reconnaissance and logic abuse. Add behavioral baselining, anomaly detection, and runtime protection.