How Comcast Uses Voice, Data, and AI in Home Entertainment
Here’s an interesting look at how Comcast uses data to enrich customer experience. Comcast’s Data Team is bringing together voice, data, and AI to make home entertainment more accessible to everyone– regardless of age, language proficiency, or ability. With every voice prompt, the Xfinity remote control turns billions of spoken words into actionable insights, personalizing […]
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3 T’s to Securing AI Systems: Tests, tests, and more tests!
What does it mean to make your machine learning system “production-ready?” Yaron Singer walks us through the infrastructure, testing procedures, and more that help make ML systems ready for the real world in this episode of Data Brew.
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Deploying #Databricks on #GoogleCloud
Learn how easy it is to set up a new Databricks account on GCP. This video shows step-by-step instructions, visualizations and links to additional resources.
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High Level MLOps from Microsoft Data Scientists
On this episode of the AI Show, Seth welcomes Microsoft Data Scientists, Spyros Marketos, Davide Fornelli and Samarendra Panda. They will give a high-level intro into MLOps and share some of the lessons they’ve learned working with customers along the way.
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Making the Case for Digital Transformation
Driving any type of change across a large enterprise is hard enough. Now imagine having to transform your organization to be data- and AI-driven so you can improve operational efficiency, accelerate innovation to gain new insights and implement best practices to build data products. John Irvin joins discusses this very transformation and the role data […]
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Databricks on Databricks: AMA with Data Engineering SMEs
Data engineers and data leaders are the linchpin of every data-driven organization. Today’s data engineers face a number of critical use cases: ensuring the organization has access to clean, reliable data, maintaining governance and security as the organization scales, and providing access to data teams for analysis. Whatch this session for live Q&A with Databricks […]
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Databricks AMA about Delta Lake!
This is your chance to get your questions answered and some you haven’t even thought of yet. In this rapid fire question format, our panel will field your toughest questions! That’s right, ask them anything! ,
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YOLO with Data-Driven Software
This presentation shows how to treat data like code through the concept of Data-Driven Software (DDS). This concept, implemented as a lightweight and easy-to-use python package, solves all the issues mentioned above for single user and collaborative data pipelines, and it fully integrates with a lakehouse architecture such as Databricks. In effect, it allows data […]
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Scaling your Data Pipelines with Apache Spark on Kubernetes
There is no doubt Kubernetes has emerged as the next generation of cloud native infrastructure to support a wide variety of distributed workloads. Apache Spark has evolved to run both Machine Learning and large scale analytics workloads. There is growing interest in running Apache Spark natively on Kubernetes. By combining the flexibility of Kubernetes and […]
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Scaling AutoML-Driven Anomaly Detection with Luminaire
Zillow has built an orchestration framework around Luminaire, our open-source python library for hands-off time-series Anomaly Detection. Luminaire provides a suite of models and built-in AutoML capabilities which they process with Spark for distributed training and scoring of thousands of metrics. In this talk, learn the architecture of this framework and performance of the Luminaire […]
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