Synthetic data creates unprecedented data access and privacy protection opportunities for data science, engineering, compliance, and data protection stakeholders across industries. The increased interest is bringing new providers and solutions on the market, along with a new stream of novel research ideas and approaches.
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.
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.
Grow your ISV business using Microsoft Azure Cloud AI and Machine Learning Join us and learn how you can transform and grow your software business by developing on the Microsoft Azure cloud.
Half day AIML webinar on document digitization, fraud detection and building a recommendations engine with AIML services
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.
Join Microsoft and Praemo in this session to learn how AI is impacting manufacturing through customer examples and the key steps to getting started.
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.
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.
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.
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.
Discover a high-level introduction to data science and machine learning and their proper functions in a data-d…