Dec 14 ADV Webinar: Strategies for Machine Learning Success

Dec 14 ADV Webinar: Strategies for Machine Learning Success
Enterprises make use of machine learning (ML) to gain actionable analytics and intelligence from a universe of data sets. ML is a critical competitive advantage. ML algorithms are becoming embedded in the fabric of the enterprise as well as all major software in use. Early adopters will reap the most benefits, which can be exponential.
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Spotlight

Ce guide Forrester donne des indications aux décideurs IT et à leur équipe sur les fonctionnalités à rechercher et les questions à se poser pour évaluer les besoins en données propres à leur entreprise, et notamment :la protection complète ;l’automatisation et l’orchestration ;la réutilisation des données, la fiabilité et la res

OTHER LIVE WEBINARS

Dec 12 Data-Ed Webinar: Data Management Best Practices

December 12, 2023 | 02:00 PM ET

It is clear that Data Management best practices exist – and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how does one design a process for Data Management goal achievement? This program describes what must be done at the programmatic level to achieve better data use and a way to implement this as part of your data program. The approach combines DMBoK content and CMMI/DMM processes – permitting organizations with the opportunity to benefit from the best of both.
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Expert Panel: Modern Ethics for Modern Data Challenges

December 11, 2023 | 12:00 PM PT

Data ethics covers a wide range of human-centric concerns. At heart, it refers to the need to ensure that enterprise data management and analytics practices don’t adversely impact the lives, safety, health, property, privacy, sensitivities, and reputations of customers, employees, communities, and other stakeholders. Ethical concerns affect many data and analytics practices. These concerns are present when considering how data collection, usage, or sharing could cause harm or expose individuals to the risk of being identified, when data is being used to target, profile, or categorize individuals, and when data gathered legitimately for one purpose is being reused in an entirely different context.
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Spotlight

Ce guide Forrester donne des indications aux décideurs IT et à leur équipe sur les fonctionnalités à rechercher et les questions à se poser pour évaluer les besoins en données propres à leur entreprise, et notamment :la protection complète ;l’automatisation et l’orchestration ;la réutilisation des données, la fiabilité et la res

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