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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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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Delta Lake Roadmap 2021 H2: Features Overview
Get a look at the feature roadmap for Delta Lake.
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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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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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Processing Large Datasets for ADAS Applications using Apache Spark
Semantic segmentation is the classification of every pixel in an image/video. The segmentation partitions a digital image into multiple objects to simplify/change the representation of the image into something that is more meaningful and easier to analyze [1][2]. The technique has a wide variety of applications ranging from perception in autonomous driving scenarios to cancer […]
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Databricks on AWS Cloud Integration Demo
Did you ever wonder how Databricks plays a role in AWS data intergrations? Well, wonder no more. Time stamps: 0:00 Databricks Lakehouse on AWS overview 0:20 Connecting to EC2, S3, Glue, and IAM 0:46 Ingesting Kinesis streams into Delta Lake 1:32 Viewing Delta Lake tables in the Glue console 1:49 Databricks – Redshift integration 2:20 […]
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