Government Related Topics 
IT Toolbox
AUGUST 30, 2023
Targets of the attack included local governments, military, technology telecom, and aerospace organizations. Government appeared first on Spiceworks. The post China-Based Hackers Exploit Barracuda Zero-Day Vulnerability to Target U.S.
Forrester IT
JUNE 10, 2020
Companies have short attention spans when it comes to data governance. To address these expansions, data owners either search for the simple approach or re-educate on data governance 101. Here is the […].
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IT Toolbox
AUGUST 4, 2023
The post Russia-Backed Bad Actors Attack Government Agencies Through Microsoft Teams appeared first on Spiceworks. The hackers exploited compromised Microsoft 365 accounts to generate fraudulent Microsoft support domains.
Social, Agile and Transformation
MAY 22, 2023
Seeing data governance functions pigeonholed into compliance and data security responsibilities drives me a little nuts. First, it misses the key business value proposition of data governance, which should be on helping people in the organization, customers, and partners leverage data in decision-making in reliable and compliant ways.
Advertiser: Data Robot
Our eBook covers the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance. AI operations, including compliance, security, and governance. We also look closely at other areas related to trust, including: AI performance, including accuracy, speed, and stability.
Forrester IT
JANUARY 26, 2021
In my recent Forrester webinar I outlined how AI drives the evolution of technology and data governance, and how an increase in customer demand and regulatory activity will necessitate companies to take a closer look at their approach (Forrester clients can access the replay here). In this blog post I’d like to recap the two […].
Forrester IT
FEBRUARY 9, 2022
Government organizations that want to improve the services, benefits, products, and experiences that they provide to customers must focus relentlessly on customers’ needs. Most government organizations want to be more customer obsessed.
Advertiser: GEP
This new case study, Global Heavy Equipment Manufacturer Saves $45M in Direct Material Sourcing With GEP SOFTWARE, outlines how the company partnered with GEP to streamline its direct material sourcing process and increase spend visibility, leading ultimately to savings of $45 million and improved efficiency and governance.
Advertiser: Data Robot
To prevent deployment delays and deliver resilient, accountable, and trusted AI systems, many organizations invest in MLOps to monitor and manage models while ensuring appropriate governance. Download today to find out more!
Speaker: Diane Magers, Founder and Chief Experience Officer at Experience Catalysts
You'll walk away knowing how to: DEFINE the most effective CX measures and metrics for your organization MASTER the art and science of quantifying the value of customer experience NAVIGATE common pitfalls in quantifying CX value and gain tips for mitigation ESTABLISH a structured approach to embedding CX benefits into internal processes and governance (..)
Advertiser: Data Robot
Machine learning operations (MLOps) is the technical response to that issue, helping companies to manage, monitor, deploy, and govern their models from a central hub. As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models.
Advertiser: Data Robot
The importance of governance in ensuring consistency in the modeling process. Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. AI storytelling in communicating value to your organization. Trusted AI and how vital it is to your AI projects.
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Read this whitepaper to learn: How this “no data copy” approach dramatically streamlines data workflows while reducing security and governance overhead. This new open data architecture is built to maximize data access with minimal data movement and no data copies.
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The key prerequisites for meeting the needs of non-technical users while adhering to data governance policies. The primary architectural principles of a true cloud data lake, including a loosely coupled architecture and open file formats and table structures.
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Disparate datasets and technologies make it more difficult than ever to give your customers and users the information and insight they need, when they need it (and how they want it) while addressing the complexities of compliance, governance, and security. Find out how Data Mesh can help you overcome these challenges and more.
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