Engineering

Insights and analysis on AI and machine learning from our engineering team.

Observe.AI attends Interspeech 2024 and demonstrates focus on developing advanced speech technologies that play a crucial role in enhancing the understanding of agent and customer behavior within contact centers.

Pioneering Speech Technology at Interspeech 2024

Srikanth Konjeti

Srikanth Konjeti

Director, Machine Learning

We are delighted to announce that our Machine Learning team had the opportunity to present their work on Large Language Models (LLMs) at the prestigious NAACL 2024 conference.

3 Observe.AI Papers Accepted at NAACL 2024

Jithendra Vepa

Chief Scientist

Elasticsearch is used as our secondary datastore for running queries and search on call transcriptions. In this article, we’ll discuss optimizations on the schema of our Elasticsearch index to suit our reporting workload.

How Observe.AI Optimized Elasticsearch Aggregations for Nested Fields

Stripped down end to end ASR in Tensorflow. This blog will help you write a basic end to end ASR system using Tensorflow.

Hello World in Speech Recognition

Voice analytics is changing how modern ca centers look at insights from their 'voice gold mines'.

Speech Analytics and AI - a closer look

AI needed huge computing power only a few years ago. Now anyone interested in this field can set up their tools in no time and run some of the most advanced processes in opensource tools.

All about setting up Tensorflow Serving

Why Alexa is fun but your Call Center IVR is not and How to build your IVR for modern-day customer experience.

Alexa good, Your IVR bad

We use Elasticsearch as our secondary datastore to run queries and search on voice call transactions. Here's how we scaled the search step.

How Observe.AI Scaled Elasticsearch Throughput for Searches in Individual Documents

Observe.AI Resource: One Sheet

2021 Post-Pandemic Contact Center Report

The Agent Performance Handbook

The Agent Performance Handbook

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