artificial inteligence webinars

The Challenges of Taking AI to Production


According to analyst research, by 2021 the revenue associated with AI inferencing will bypass the revenue associated with AI training. From that moment on, this gap will only impose potential challenges; this looks at making sure your model is performing as expected with real production data, guarantee zero downtime, enable you to scale to any level, and ensure your end-to-end application latency is not affected just because you added AI to your stack.


cacheyoutubeartificial-inteligencesoftware-developmentai

Unlocking Potential with Azure AI Azure Cognitive Services


Unlocking Potential with Azure AI: Azure Cognitive Services This webinar series will provide a deep-dive exploration of modernizing your data estate, data storytelling, accelerating insights with Azure Synapse, and unlocking potential with Azure AI.


microsoftartificial inteligencesoftware development webinarsaidevOps webinars

Webinar AI dan Machine Learning


Half day AIML webinar on document digitization, fraud detection and building a recommendations engine with AIML services


artificial inteligencesoftware development webinarsai

Modern Cloud Data Architecture Virtual Conference


6 August 2020 9.00am – 11.30am AEST 1.00pm – 3.30pm SGT | 10.30am – 1:00pm IST Companies count on their data and analytics platforms as the foundation of their innovation and digital transformation strategy.


artificial inteligencesoftware development webinarsai

Building Intelligent Data Pipelines you can trust for your AI & ML Initiatives


As one of the key tenets of any successful data governance practice, data governance and security is likely to be top of mind for companies seeking to open access their access data in order to drive the use cases of the future as part of your data-driven transformation.


on-demandartificial inteligencesoftware development webinarsai

Managing the Complete Machine learning Lifecycle with MLflow


Join us on 8 July for an introductory tutorial on how Databricks can help you manage your end-to-end Machine learning lifecycle. ML development brings many new complexities beyond the traditional software development lifecycle.


on-demandartificial inteligencesoftware development webinarsai

Machine Learning Best Practices


Available on-demand In this webinar, Yan Moiseev, Solutions Architect at Databricks will share machine learning best practices learned from working with Databricks customers on ML use cases across various industries. The talk will cover how to set up machine learning initiatives for success, how to address common challenges, and share customer success stories along the way.


on-demandartificial inteligencesoftware development webinarsai

Simplifying Data Ingestion with Databricks Ingest


As part of our online learning series, our session on 24 June will walk through an introduction of Databricks Ingest - an easy and efficient way of bringing all your data together from different sources into Delta Lake.


on-demandartificial inteligencesoftware development webinarsai

Building a Recommendation Engine on Databricks


The Databricks Online Learning Series aims to provide data team members with the essentials to understand how unified data analytics can bring data science and engineering together to accelerate your ML efforts.


on-demandartificial inteligencesoftware development webinarsai