ServiceNow & Microsoft Hyperscaler

ServiceNow & Microsoft: Streamlining Enterprise Workflows with Integrated Cloud Infrastructure

The strategic integration between ServiceNow and Microsoft Azure enables organizations to enhance their digital workflow capabilities while maintaining full control over data and cloud infrastructure. By moving ServiceNow instances to Azure, enterprises gain seamless access to both platforms through a unified interface, combining ServiceNow's workflow automation with Azure's scalable cloud services. This integration supports enhanced IT service management, automated incident handling through Microsoft Defender for Cloud, and streamlined configuration compliance monitoring—all while ensuring zero disruption to existing business processes and accelerating innovation through tighter platform integrations.

Cybersecurity

What the AI safety fallout means for enterprise CISOs
High-profile resignations and calls for a development slowdown have accelerated the AI safety debate. Here's how security leaders...
What CISOs need to know about AIOps security
AI offers compelling benefits for IT, but organizations have to weigh operational advantages against risks that can spread ...
Revolut breach exposes authentication-authorization gap
The Revolut data breach showed what can happen when organizations over-trust and under-verify. Experts warn that countless ...

Data Technologies

How to control agentic AI access to enterprise data
AI agents stand in for users and reach multiple systems. Governing their access requires distinct identities, scoped authority ...
Evolving Tableau touts tools to fuel AI-powered analytics
Proactive BI and a natural language-powered app development tool show progress toward an AI-powered platform, while tight ...
Successful AI deployment rests on strong data foundation
Just as BI was built on a bedrock of high-quality, relevant data, AI tools are only as trustworthy as the data that informs them.

Enterprise Software

How COOs can manage inventory risk across systems and operations
COOs can help prevent data problems by adopting a rigorous approach to systems integration, data quality and data governance. ...
A practical guide to AI governance in contact centers
Enterprise CX leaders managing contact center AI need a governance framework to oversee access to customer data and set ...
Learn the 6 types of inventory risk
Excess inventory takes up warehouse space and complicates picking efficiency. Learn about other types of inventory risk and how ...

IT Infrastructure

Lenovo extends virtualization support as AI complicates decisions
As many organizations look to replace their primary hypervisor, IT leaders must balance optimizing for their AI strategy while ...
What repos are trending on GitHub?
GitHub Stars are a proxy for developer interest. Weekly GitHub star growth highlights fast-rising repos, giving early insight ...
Seismic shift in Splunk pricing spotlights AI data management
The era of simply amassing heaps of raw telemetry is over, Splunk users say. Viable AI agents for automated IT ops will depend on...

IT Strategy

The quiet rise of AI technical debt
AI technical debt can hide in prompts, data, models and workflows. David Linthicum explains why CIOs need production discipline ...
How Agile development principles can help with scaling AI deployment
In this podcast, Andrew Sales, chief methodologist at Scaled Agile, says lean and Agile methods can help companies take full ...
AI ate the first rung of the technology career ladder
As AI automates routine tasks in tech careers, it could deprive junior professionals of learning opportunities. And it may create...

ServiceNow & Microsoft: Streamlining Enterprise Workflows with Integrated Cloud Infrastructure

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