IT Toolbox
JANUARY 18, 2024
Discover data governance's critical role in Industrial AI, New Energy Models, and Maritime Operations. The post The Role of Data Governance in Driving CX, Innovation & Maritime Ops appeared first on Spiceworks.
Forrester IT
JUNE 10, 2020
Companies have short attention spans when it comes to data governance. Even for organizations with sustained programs, the continuous push and pull of new regulations, projects, or data and analytics investments create constant disruption. Here is the […].
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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).
Forrester IT
JULY 12, 2023
Forrester data shows less than 10% of enterprises are advanced in their insights-driven capabilities. Data governance. The reason? Learn why.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
CTOvision
DECEMBER 16, 2020
Immuta, the automated data governance company, today announced the availability of new features for its Automated Data Governance platform including new, native integrations with Starburst Presto and Presto. By natively […].
IT Toolbox
OCTOBER 18, 2022
Here’s how to benefit from the Data Governance Act while maintaining data privacy and compliance. The post Data Governance Act: A Unique Opportunity to Enhance Data appeared first on Spiceworks.
Advertiser: GEP
In response to these challenges, a leading heavy equipment manufacturer selected GEP to redesign its source-to-contract processes and implement a convergent data model to help manage procurement data across its multiple locations.
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In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.
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Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.
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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.
Advertiser: Data Robot
Download this Special Report by MIT Sloan Management Review to learn about: The concept of radicalness and how its intertwined with innovations Innovative governance ideas that have the potential to influence organizational changes Simple decisions that can set teams on a path toward either incremental or breakthrough innovations
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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!
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.
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Today, the average enterprise has petabytes of data. 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.
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