All Research Sponsored By:Comet

The Ultimate Guide to MLOps
EBOOK: How can teams know if they have a powerful machine learning model operational management (MLOps) workflow? Read this white paper for a complete guide to MLOps so that your organization is better equipped to improve operational efficiency with ML initiatives and evaluate MLOps platforms.
Posted: 06 Dec 2022 | Published: 07 Dec 2022

TOPICS:  .NET

Building Effective Machine Learning Teams
EBOOK: Despite significant progress in the machine learning and AI space, implementing scalable teams, frameworks and processes still presents critical challenges. Explore this e-book to learn the critical requirements for an effective machine learning team that will give your company a competitive advantage as the machine learning and AI space evolves.
Posted: 21 Jun 2022 | Published: 21 Jun 2022

TOPICS:  .NET

How To Scale Today’s Data Science Initiatives
EBOOK: To deliver ROI on data science investments, companies must be able to scale data initiatives across the enterprise. Read this e-book to learn how you can turn data into insights at scale across your organization.
Posted: 20 Jun 2022 | Published: 20 Jun 2022

TOPICS:  .NET

2021 Machine Learning Practitioner Survey
ANALYST REPORT: Process challenges are creating friction in machine learning - in a recent survey of over 500 ML practitioners, 68% admitted abandoning 40-80% of their experiments in the past year. Read on to learn about 3 characteristics ML practitioners should consider when evaluating tools to reduce friction and accelerate the ML development process.
Posted: 17 Jun 2022 | Published: 17 Jun 2022

TOPICS:  .NET

Standardizing The Ml Experimentation Process
EBOOK: The reproducibility crisis in machine learning is a serious barrier to future progress for any organization. Read this e-book to learn the 7 steps in standardizing experimentation, identify the benefits and steps in achieving reproducibility and understand why the CACE principle matters.
Posted: 15 Jun 2022 | Published: 15 Jun 2022

TOPICS:  .NET