Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK

A deep learning approach to automatic call routing

Tal Doron (GigaSpaces)
14:5515:35 Thursday, 2 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 17
Average rating: ***..
(3.50, 2 ratings)

Who is this presentation for?

  • Business leaders, CTOs, CDOs, CIOs, solution architects, data engineers, data analysts, analytics managers, and developers

Level

Intermediate

Prerequisite knowledge

  • Intermediate knowledge of stream processing systems and big data (Hadoop, Spark, Kafka, etc.)
  • A basic understanding of software architecture

What you'll learn

  • Learn how to implement a scalable, subsecond automatic call routing solution leveraging deep learning models running on live data, with event triggered transactional workflows
  • Understand the value of Intel's BigDL framework, which enables deep learning workloads without relying on GPUs

Description

The adoption of AI innovations like deep learning is growing rapidly across industries. Combining high-performance in-memory computing with full stack analytics (SQL, streaming, machine learning, and deep learning) provides an infrastructure-optimized solution for deep learning workloads.

Tal Doron explores automated call routing, with a use case based on Intel’s BigDL framework and GigaSpaces InsightEdge in-memory real-time analytics platform. Together the technologies fill a critical market gap by creating an intelligent insight platform that makes it easy to innovate real-time advanced analytics applications with low risk and TCO.

Tal leads a live demonstration to show how organizations provide a seamless call center experience. The system leverages deep learning model to automatically route service calls to the correct agent in less than 100 ms.

Join in to learn how the solution reduces cluster and component sprawl, triggers transactional workflows based on prediction criteria and scoring, supports efficient scale-out computing, lowers TCO and decreases deployment costs by training and running large-scale deep learning workloads on Intel Xeon Scalable processors without relying on GPUs, and enables high performance.

Photo of Tal Doron

Tal Doron

GigaSpaces

Tal Doron is director of technology innovation at GigaSpaces, where he bridges the gap between business and technology, architecting, and strategizing digital transformation from ideas to success with strong business impact and manages presales activities engaging with all levels of decision makers from architects to strategic dialogue with C-level executives. Tal brings over a decade of technical experience in enterprise architecture specializing in mission-critical applications with focus on real-time analytics, distributed systems, identity management, fusion middleware, and innovation. Previously, Tal held positions at Dooblo, Enix, Experis BI, and Oracle.