Supercharge Cisco.com Search with ElasticCC & AI on GCP

Supercharge Cisco.com Search with ElasticCC & AI on GCP

Table of Contents

1. Introduction
2. The Journey at Cisco
3. Transformation of Search
4. About the Authors
5. Director of Enterprise AI
6. Senior Enterprise Architect
7. Focus on Information Findability
8. Innovations in Search
9. Digitizing Business
10. Search Capabilities on Cisco.com

Introduction

In this article, we will Delve into the journey at Cisco and the transformation of their search capabilities. We will explore how Cisco has integrated AI into their search engine, resulting in improved information findability for both technical and non-technical users. We will also touch upon their efforts in digitizing their business and the benefits they have achieved in terms of user experience. Let's dive in and learn more about the exciting developments in search at Cisco!

The Journey at Cisco

Cisco, a renowned technology company, has embarked on a journey to transform their search capabilities. Led by a team of dedicated engineers, the focus is on enhancing information findability for their customers, partners, and employees. By combining AI and cutting-edge technologies, Cisco aims to Create a search experience that is efficient, intuitive, and user-friendly. In the following sections, we will explore the key aspects of this transformation journey and the benefits it has brought to Cisco's search capabilities.

Transformation of Search

The transformation of search at Cisco encompasses several key elements that have brought about significant improvements in the user experience. The four main aspects of this transformation are:

1. Combining Elastic with AI: By integrating AI technologies with the elastic search engine, Cisco has been able to enhance the search functionality and provide more accurate and Relevant results to users.

2. Open Source Adoption: Cisco has embraced open source technologies to leverage the power of community-driven innovation. This has allowed them to tap into a vast pool of resources and expertise, resulting in more robust and scalable search capabilities.

3. Modern Cloud Design: Cisco has adopted a modern cloud design approach to ensure scalability, flexibility, and availability of their search platform. By leveraging cloud services, they can efficiently handle the growing demands of their users while maintaining high performance.

4. Global Cloud Deployment: To cater to their global user base, Cisco has deployed their search platform on multiple cloud providers across different regions. This ensures low latency and fast response times, regardless of the user's location.

About the Authors

Before we dive deeper into the specifics of Cisco's search transformation, let's take a moment to get to know the authors who have been instrumental in leading this journey.

1. Prem Malhotra - Director of Enterprise AI: As the Director of Enterprise AI at Cisco, Prem Malhotra leads a team of skilled engineers, driving innovation in search and AI. With extensive experience in the field, Prem is passionate about making information easily accessible to users and enhancing their search experience.

2. Suji Joseph - Senior Enterprise Architect: Suji Joseph brings over 16 years of experience as a Senior Enterprise Architect at Cisco. With a deep understanding of cloud technologies, Suji has played a crucial role in the digital transformation of Cisco's search capabilities, ensuring scalability, performance, and security.

Now that we have an introduction to the key players, let's explore the various aspects of Cisco's search transformation in more Detail.