Alteryx is pushing analytics into the data lakehouse rather than pulling data out. Chief Product Officer Ben Canning explains why governance and business user access remain the real barriers to lakehouse ROI.
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UiPath announces agentic AI solutions for healthcare revenue cycle management at ViVE 2026, targeting medical records review, claim denials and prior authorization. The company argues that administrative friction doesn't just cost money – it delays care. Early deployment data suggests measurable impact.
The Linux Foundation's CAMARA project is exposing telecommunications network capabilities to AI agents through the Model Context Protocol (MCP), making network intelligence programmatically discoverable while defining the security and operational foundations for production deployment.
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Appian's Q4 2025 results show a company riding the wave of an idea whose time has come. CEO Matt Calkins argues that AI cannot deliver enterprise value without process orchestration, and the market is starting to agree.
Atlassian now runs nearly one AI agent per employee. I met with SVP Tal Saraf to discuss what's working, who's building them, and why the gaps matter.
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From AI meeting assistants that misgender users to voice biometrics that lock out legitimate customers, enterprise automation is increasingly making decisions about identity. These failures are not simply model glitches – they reflect design and governance choices about how systems infer who people are and how errors are handled.
Security researchers found more than 21,000 exposed OpenClaw deployments, highlighting why enterprise adoption of AI agents needs to pay more than lip service to "guardrails".
Databricks’ latest research shows rapid growth in agentic AI deployments, but enterprise progress remains shaped by data visibility, governance, and operational oversight. EMEA CTO Dael Williamson explains what organizations are learning as AI moves into production systems.
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Storio Group and DXC Technology demonstrate that platform maturity isn't the bottleneck—organizational readiness is. Culture, business alignment, and forcing functions determine whether observability investments scale beyond initial proof points.
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Record enterprise deals drive first $1 billion cloud revenue quarter, with data suggesting AI code generation tools expand Atlassian usage rather than shrink it.
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When digital services falter, the traditional IT response has been to verify system availability and move on. For organizations in customer-facing environments, that leaves critical gaps in understanding the customer experience.
What struck me most at Dynatrace Perform 2026 wasn’t just what surprised me, but what initially confused me. Senior leaders spent less time on sweeping AI futures and more on the practical realities of enterprise AI transformation - where ambition collides with complexity, governance, and design choices around agency and control.
Agentic AI promises autonomy, but production systems expose its fragility. Dynatrace’s Perform keynote shows why deterministic causal grounding is becoming the missing layer between probabilistic models and real-world operations.
