Podcasts about microsoft azure machine learning

MLOps and DevOps have a large number of parallels. Many of the techniques, practices, and processes used for traditional software projects can be followed almost exactly in ML projects. However, the day-to-day of an ML project is usually significantly different from a traditional software project. So while the ideas and principles can still apply, it’s important to be aware of the core aims of DevOps when applying them. Damian is a Cloud Advocate specializing in DevOps and MLOps. After spending a year in Toronto, Canada, he returned to Australia - the land of the dangerous creatures and beautiful beaches - in 2018. Formerly a dev at Octopus Deploy and a Microsoft MVP, he has a background in software development and consulting in a broad range of industries. In Australia, he co-organised the Brisbane .Net User Group, and launched the now annual DDD Brisbane conference. He regularly speaks at conferences, User Groups, and other events around the world. Most of the time you'll find him talking to software engineers, IT pros and managers to help them get the most out of their DevOps strategies. || Links Referenced in the Show || MLOps, or DevOps for Machine Learning: https://damianbrady.com.au/2019/10/28/mlops-or-devops-for-machine-learning/ Microsoft Azure Machine Learning: http://ml.azure.com/ MLOps Coffee Sessions #6 Continuous Integration for ML // Featuring Elle O'Brien: https://www.youtube.com/watch?v=L98VxJDHXMM MLOps: Isn’t that just DevOps? Ryan Dawson speaks at MLOps Coffee Session: https://www.seldon.io/mlops-isnt-that-just-devops-ryan-dawson-speaks-at-mlops-coffee-session/ DVC - Data Version Control: https://dvc.org/ Pachyderm - Version-controlled data science: https://www.pachyderm.com/ Databricks - Unified Data Analytics: https://databricks.com/ Join our slack community: https://join.slack.com/t/mlops-community/shared_invite/zt-391hcpnl-aSwNf_X5RyYSh40MiRe9Lw Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/ Connect with Damian on LinkedIn: https://www.linkedin.com/in/damianbrady/

Dr. Henry Jerez, Principal Group Product and Program Manager for Azure* Machine Learning Inferencing and Infrastructure at Microsoft, joins Chip Chat to discuss accelerating AI inference in Microsoft Azure. Dr. Jerez leads the team responsible for creating assets that help data scientists manage their AI models and deployments, both in the cloud and at the edge, and works closely with Intel to deliver the fastest-possible inference performance for Microsoft's customers. At Ignite 2018, Microsoft demoed an Azure Machine Learning model running atop the OpenVINO toolkit and Intel® architecture for highly-performant inference at the edge. This capability will soon be incorporated into Azure Machine Learning. Microsoft additionally announced at Ignite a refreshed public preview of Azure Machine Learning that now provides a unified platform and SDK for data scientists, IT professionals, and developers. For more on Microsoft Azure Machine Learning, please visit http://aka.ms/azureml-docs. Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com. Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries. *Other names and brands may be claimed as the property of others. © Intel Corporation

In this interview from Microsoft Ignite, Dr. Ted Way, Senior Program Manager for Microsoft, stops by to talk about Microsoft Azure* Machine Learning, an end-to-end, enterprise grade data science platform. Microsoft takes a holistic approach to machine learning and artificial intelligence, by developing and deploying complex algorithms as well as accelerating them on hardware. Azure Machine Learning is powered by Project Brainwave, using Intel® FPGAs to deliver real-time AI in the form of image recognition and classification, language understanding, speech to text, and text to speech. Intel FPGAs shine when processing unstructured data and serving a response with very low latency. At Ignite, Microsoft announced four new algorithms – ResNet-152, DenseNet-121, VGG-16, and SSD-VGG – which will allow uses even more flexibility when using the Azure Machine Learning platform. To get started with Azure Machine Learning and Intel FPGAs, visit http://aka.ms/rtai. Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com. Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries. *Other names and brands may be claimed as the property of others. © Intel Corporation

Cognisess is reinventing the way businesses make decisions about their most valuable asset: people. Cognisess Deep Learn™ is a unique analytics engine which removes unconscious bias by using cognitive neuroscience to throw light on your people processes. This allows organizations to recruit with greater confidence, to identify what ‘best’ looks like for crucial customer-facing roles as well as leads to an increase in performance and productivity in your business.Join David Giard as he welcomes the team from Cognisess as they discuss how they use Microsoft Azure Machine Learning to help deliver this powerful solution.[2:30] What does Cognisess do?[7:30] What are some of the technologies you're using to power this?[13:27] You mentioned that you're using Azure ---are you using the Machine Learning tools that are built into it, are is it all custom built?[16:59] How did you come up with the idea for this business and how has business been?[23:19] How has your relationship been with Microsoft and the BizSpark program?[29:32] Where can people find out more about Cognisess? Follow the conversation @bizspark Become a Fan @ facebook.com/bizspark Join our LinkedIn Group Subscribe to our YouTube videos Subscribe to our podcast via iTunes, Windows Phone Marketplace or RSSIf you're interested in learning more about the products or solutions discussed in this episode, click on any of the below links for free, in-depth information:Websites & Blogs: David Giard's BlogLearn more about Cognisess Videos:(Part 1) Women Building the Future – An Interview with Tereza Nemessanyi(Part 2) Women Building the Future – An Interview with Bernadine Brocker, CEO of Vastari(Part 3) Women Building the Future – An Interview with Diana Paredes, CEO of Suade(Part 4) Women Building the Future – An Interview with Jennifer Whaley, CEO of Pose a Pet(Part 5) Women Building the Future – An Interview with Luan Cox, CEO of Crowdnetic(Part 6) Women Building the Future – See how UAE's startup Nabbesh gives opportunities to women freelancers.

Cognisess is reinventing the way businesses make decisions about their most valuable asset: people. Cognisess Deep Learn™ is a unique analytics engine which removes unconscious bias by using cognitive neuroscience to throw light on your people processes. This allows organizations to recruit with greater confidence, to identify what ‘best’ looks like for crucial customer-facing roles as well as leads to an increase in performance and productivity in your business.Join David Giard as he welcomes the team from Cognisess as they discuss how they use Microsoft Azure Machine Learning to help deliver this powerful solution.[2:30] What does Cognisess do?[7:30] What are some of the technologies you're using to power this?[13:27] You mentioned that you're using Azure ---are you using the Machine Learning tools that are built into it, are is it all custom built?[16:59] How did you come up with the idea for this business and how has business been?[23:19] How has your relationship been with Microsoft and the BizSpark program?[29:32] Where can people find out more about Cognisess? Follow the conversation @bizspark Become a Fan @ facebook.com/bizspark Join our LinkedIn Group Subscribe to our YouTube videos Subscribe to our podcast via iTunes, Windows Phone Marketplace or RSSIf you're interested in learning more about the products or solutions discussed in this episode, click on any of the below links for free, in-depth information:Websites & Blogs: David Giard's BlogLearn more about Cognisess Videos:(Part 1) Women Building the Future – An Interview with Tereza Nemessanyi(Part 2) Women Building the Future – An Interview with Bernadine Brocker, CEO of Vastari(Part 3) Women Building the Future – An Interview with Diana Paredes, CEO of Suade(Part 4) Women Building the Future – An Interview with Jennifer Whaley, CEO of Pose a Pet(Part 5) Women Building the Future – An Interview with Luan Cox, CEO of Crowdnetic(Part 6) Women Building the Future – See how UAE's startup Nabbesh gives opportunities to women freelancers.

Cognisess is reinventing the way businesses make decisions about their most valuable asset: people. Cognisess Deep Learn™ is a unique analytics engine which removes unconscious bias by using cognitive neuroscience to throw light on your people processes. This allows organizations to recruit with greater confidence, to identify what ‘best’ looks like for crucial customer-facing roles as well as leads to an increase in performance and productivity in your business.Join David Giard as he welcomes the team from Cognisess as they discuss how they use Microsoft Azure Machine Learning to help deliver this powerful solution.[2:30] What does Cognisess do?[7:30] What are some of the technologies you're using to power this?[13:27] You mentioned that you're using Azure ---are you using the Machine Learning tools that are built into it, are is it all custom built?[16:59] How did you come up with the idea for this business and how has business been?[23:19] How has your relationship been with Microsoft and the BizSpark program?[29:32] Where can people find out more about Cognisess? Follow the conversation @bizspark Become a Fan @ facebook.com/bizspark Join our LinkedIn Group Subscribe to our YouTube videos Subscribe to our podcast via iTunes, Windows Phone Marketplace or RSSIf you're interested in learning more about the products or solutions discussed in this episode, click on any of the below links for free, in-depth information:Websites & Blogs: David Giard's BlogLearn more about Cognisess Videos:(Part 1) Women Building the Future – An Interview with Tereza Nemessanyi(Part 2) Women Building the Future – An Interview with Bernadine Brocker, CEO of Vastari(Part 3) Women Building the Future – An Interview with Diana Paredes, CEO of Suade(Part 4) Women Building the Future – An Interview with Jennifer Whaley, CEO of Pose a Pet(Part 5) Women Building the Future – An Interview with Luan Cox, CEO of Crowdnetic(Part 6) Women Building the Future – See how UAE's startup Nabbesh gives opportunities to women freelancers.