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Overview for telecom

The Need for Speed – Data Streaming in the Cloud with Kafka®

Running Kafka on Kubernetes is becoming more and more popular. Frank Pientka, Principal Software Architect, Materna Information & Communications SE introduces a setup, used components and recommendations from an own project with Kafka on Kubernetes.He shares the lessons learned from this still evolving field. 

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AI in practice: how we help cure diseases using Big Data and AI - Chen Admati @ Intel (Hebrew)

Chen Admati (Head of Intel Pharma Analytics Platform at Intel Corporation), discusses AI in practice and how we help cure diseases using Big Data and AI

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How Verizon is Accelerating Cloud Adoption and Migration with the AWS Service Catalog Connector for ServiceNow

Learn how Verizon uses the AWS Service Catalog Connector for ServiceNow to create a robust self-service computing environment while meeting Verizon’s governance and security controls and achieving their goal of migrating 30% of their applications onto AWS in a short timeframe.

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Vonage & Aspect: Transform Communications & Customer Engagement

In this discussion you will learn from a market-leader Vonage how and why they re-architected their QoS-sensitive, highly available and highly performant legacy real-time communications systems to take advantage of Amazon EC2, Enhanced Networking, Amazon S3, ASG, Amazon RDS, Amazon ElastiCache, AWS Lambda, StepFunctions, Amazon SNS, Amazon SQS, Amazon Kinesis, Amazon EFS, and more. You will also learn how Aspect, a multinational leader in call center solutions, used AWS Lambda, Amazon API Gateway, Amazon Kinesis, Amazon ElastiCache, Amazon Cognito, and Application Load Balancer with open-source API development tooling from Swagger, to build a comprehensive, microservices-based solution. Vonage and Aspect share their journey to TCO optimization, global outreach, and agility with best practices and insights.

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Detecting Mobile Malware with Apache Spark

In this talk David Pryce the Lead Data Scientist at Wandera discusses how they use Spark at Wandera. Wandera has successfully implemented a Malware detection (and classification) ML model at scale with the use of Apache Spark (MLib) and the PMML via OpenScoring paradigm. 

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