Systems | Development | Analytics | API | Testing

Deploying Your Hugging Face Models to Production at Scale with MLRun

Hugging Face is a popular model repository that provides simplified tools for building, training and deploying ML models. The growing adoption of Hugging Face usage among data professionals, alongside the increasing global need to become more efficient and sustainable when developing and deploying ML models, make Hugging Face an important technology and platform to learn and master.

Kong Named Leader in Gartner Magic Quadrant for Full Life Cycle API Management for Third Year

For the third consecutive year, we’re happy to announce that Kong has been recognized as a Leader in the Gartner Magic Quadrant for Full Life Cycle API Management and is positioned furthest to the right for Completeness of Vision. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document.

3 Features Developers Will Appreciate in the Appian 22.4 Release

The 22.4 release ends the year on a high note with faster Appian Portal deployment (via the Appian Designer), a stylish rebrand of the Appian Process Modeler (to keep your workflow looking good), and a time-saving automation upgrade (of the RPA agent launch process). With the last release of 2022, we want to say a special thank you to our dedicated Community of developers and engineers. Your expertise, feedback, and dedication to Appian are what keep us improving and expanding with every feature.

No-code/low-code cloud data mapping with Talend

Mapping source columns with a data destination is arduous and time-consuming. Data fields can come from many source types and formats. Even though you are the expert on your datasets, you may require the assistance of IT to set up the mapping. However, the more sources, the more handoffs, the higher the possibility of errors. As organizational data has become more dispersed and voluminous across organizations and applications, it's more important than ever to ensure that you understand your data.

Transforming Business Through The Power Of Data

Srini Nachinarkiniar, Accenture's Global Snowflake Practice Lead, sees every business as a data business. In this interview with Data Cloud Now host Ryan Green, Trini expands on this philosophy and discusses its three core principles: That data provides a strategic core, the importance of building an intelligent data foundation, and finding the right talent to establish a data culture.

Democratizing marketing data with BigQuery and Looker

Welcome back to the marketing analytics series where we teach practitioners about Google Cloud marketing analytics solutions. In this video, Kelci shows how you can democratize marketing data with BigQuery and Looker. Watch to see how you can use Looker Blocks and Looker Action to help your company achieve a successful marketing mata strategy and share insights across your organization. Chapters.

The 7 Costly and Complex Challenges of Big Data Analytics

re:Invent 2022 is just around the corner and we couldn’t be more excited to share the latest ChaosSearch innovations and capabilities with our current and future customers in the AWS ecosystem. Enterprise DevOps teams, SREs, and data engineers everywhere are struggling to navigate the growing costs and complexity of big data analytics, particularly when it comes to operational data.

The future of data - Tom Edwards

This episode features an interview with Tom Edwards, Chief Digital and Data Officer at Omnicom Health Group, the largest healthcare marketing and communications network in the world. Prior to Omnicom, Tom served as Chief Digital and Innovation Officer at Epsilon. Tom has been named one of the Top 50 Most Influential Business Leaders in Technology and a Top 10 Global Marketer Award winner by OnCon this year. On this episode, Tom talks about transparency in decision making, how to organize massive amounts of data in order to derive insights, and how to determine the ideal communication strategy for a target audience.