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Feature Engineering with Databricks and Unity Catalog

Perficient Digital Transformation

Feature Engineering is the preprocessing step used to make raw data usable as input to an ML model through transformation, aggregation, enrichment, joining, normalization and other processes. Sometimes feature engineering is used against the output of another model rather than the raw data (transfer learning). Lineage is robust.

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Remote Work, Global Hiring Drive Explosive Growth in ‘Employer of Record’ Partnerships—Everest Group

Everest Group

In addition to mitigating these risks, EOR partnerships deliver administrative cost and time savings, business continuity, and global mobility—all of which are now highly valued by enterprises striving to excel in a post-pandemic, next-normal business environment. Find further details and in-depth content at www.everestgrp.com.

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Tech Talent Acquisition Strategies: Challenges and Opportunities Post-pandemic

Amzur

Despite responding to emails and calls, candidates choose the path of silence, further complicating the hiring process and delaying the time it takes to hire someone. The pandemic has changed the hiring paradigm, and companies are exploring virtual tech talent acquisition strategies for efficiency and time savings. .

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With a New Year Comes a New Marketo Engage

Perficient Digital Transformation

Even more exciting, changes can be applied to multiple templates at once, adding greater efficiency and time-savings in asset upkeep. Moreover, the list views can be searched and filtered by status, date/time last modified and type.

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A Practical Guide To AI Implementation Strategy For SMBs

Amzur

Consider how much time your team spends on these tasks – from planning to screening and onboarding. AI implementation helps in auditing existing data sources to clean data, remove duplicates, resolve missing values, and lay a robust foundation for accurate AI-driven analysis. It takes up a lot of your work day.

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Incentivizing Positive Results with Outcome-Based Contracts

SirionLabs

Proponents of these types of contracts say that, when properly managed, they yield a wide range of benefits– including lower costs, time savings and a significant reduction in the need for supplier oversight. Airlines pay for the usage of engines. How are enterprises tracking contract data without a CLM tool to help?

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Incentivizing Positive Results with Outcome-Based Contracts

SirionLabs

Proponents of these types of contracts say that, when properly managed, they yield a wide range of benefits– including lower costs, time savings and a significant reduction in the need for supplier oversight. Airlines pay for the usage of engines. How are enterprises tracking contract data without a CLM tool to help?