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Vendor management: The key to productive partnerships

CIO

What is vendor management? Vendor management helps organizations take third-party vendor relationships from a passive business transaction to a proactive collaborative partnership. While working with IT vendors can help ease the burden on IT, it also raises concerns, especially around data, risk, and security.

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Your CEO has little idea who IT is or what IT does

CIO

Executives need to understand and hopefully have a respected relationship with the following IT dramatis personae : IT operations director, development director, CISO, project management office (PMO) director, enterprise architecture director, governance and compliance Director, vendor management director, and innovation director.

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Grand Bank's Success Story: Enhancing Vendor Management with Ivanti's External Attack Surface Management Solution

Ivanti

Forrester highlights that EASM is crucial for thorough due diligence, especially during mergers and acquisitions, where uncovering hidden vendor assets is vital for assessing risk. It offers an automated, comprehensive vendor management approach that continuously monitors vendors' attack surfaces, assesses and mitigates risks.

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Key considerations to cancer institute’s gen AI deployment

CIO

That included setting up a governance framework, building an internal tool that was safe for employees to use, and developing a process for vetting gen AI embedded in third-party systems. Proactive governance The governance framework came first. So DFCI took three main steps to deploy gen AI in a controlled way.

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Why CIOs should embrace the potential of data and analytics enablement platforms for a brighter future

CIO

But the most advanced data and analytics platforms should be able to: a) ingest risk assessment data from a multitude of sources; b) allow analytics teams in and outside an organization to permissibly collaborate on aggregate insights without accessing raw data; and c) provide a robust data governance structure to ensure compliance and auditability.

Analytics 172
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation. In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components.

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Germany goes full throttle into the cloud

CIO

On the rise: the cloud center of excellence It’s particularly exciting to see how companies organize themselves when it comes to the cloud, and how they implement appropriate cloud governance. At the same time, it’s been possible to avoid excessive dependencies by building up or strengthening internal vendor management capacities.

Cloud 215