The adoption of digital technology has probably reached an all-time high, with the rapid transformation of business processes and services from non-digital to digital. According to recent studies, global spending on digital transformation is expected to hit $3.4 trillion by 2026. It has also been forecasted that the United States will account for 35% of this global spending and could pass the $1 trillion mark in 2025.

Several technology leaders have taken lead roles in bringing about this much-needed change in America. Naga Simhadri Apparao Polireddi, an expert in secure web chatbots and web development, has made remarkable contributions through his path-breaking innovations. He is highly rated for his knowledge and expertise in designing AI/ML language models, developing rules using Natural Language Processing (NLP), and creating chatbot applications with technologies such as NodeJS, Java/J2EE, Python Machine Learning (ML) libraries, Dialog flow, TensorFlow, ECMAScript 6, Amazon Web Services (AWS), and Spring Boot Microservices.

A Bachelor of Technology in Computer Science and Engineering and a Master of Computer Science from Arizona State University (ASU), Polireddi started his illustrious career in 2002 as an Assistant Professor at Sree Dattha Institute of Engineering & Science College, Hyderabad, India. In the earlier part of his career, he also worked with Hewlett-Packard Global soft (hp), Wipro Technologies, and Infinite Computer Solutions as a Software Developer/ Java Technical Leader.

As part of a multi-million-euro collaboration between TATA Consultancy Services (TCS) and Nokia Siemens Networks, Polireddi served as an Assistant Consultant at TATA Consultancy Services from 2010 to 2012, stationed at the client location of Nokia Siemens Networks in Lisbon, Portugal. He conducted a review of the architecture of the Nokia product NetAct and identified defects, including mismatched network element names in the network element Drop-down menu, incorrect passing of Network element code while submitting network element personalization software to the network, and refresh issue of network element alarms. He was also involved in the development of the NetAct File-Based CM Events module utilizing Java technology.

From 02/2012 to 03/2013, Polireddi was part of Saudi Telecommunication Company's (STC) project IRB (infinys rating and billing) upgrade aimed to upgrade its billing operations to new technologies in the core area of GSM and 4G business using 1RB5.1.7 and Billing and Rating management application (BRM) software package from Netcracker Technology Corp. This upgrade helped Saudi Telecommunication Company (STC) gain a customer-focused, service management approach to their operational processes, enabling them to automate and integrate their order fulfillment, customer service management, and billing functions across multiple product and service offerings while reducing the operational cost of USD 2.5M.

As part of a TCS project, Polireddi also served Singapore Airlines from March 2013 to June 2015, undertaking the design and development of a customized solution for the company's Amadeus Altéa product by developing the PODS (Passenger Operational Data distributed System) module. Utilizing his knowledge of airline domain and IOS Web development technologies, he developed a tablet-based CrewCollab product for Singapore Airlines, which was later sold by TCS to clients worldwide.

Some of Polireddi’s most important projects were executed during his tenure with Cognizant, serving American Express. From 06/2017 – 08/2018, he handled the American Express Instant “Member Card Number” project, which led to the creation of a first-of-its-kind solution for the credit card industry. Following this game-changing project, American Express customers were provided with an instant membership, contributing to an increase in spending with a business value exceeding $20 million.

From 05/2019 until 01/2022, Polireddi worked as the Software Architect for the American Express "Rubiks and Gambit" project, which aimed to introduce a "no negative credit impact" in the card application process. This allows prospective cardholders to submit an application for a credit card and find out if they’re approved before undergoing a hard credit check. Unlike hard credit checks, this soft credit check approval feature has no impact on the applicant’s credit score. With the live implementation of this project, American Express achieved a projected revenue gain of $211 Million.

Presently working with IKON Tech Services, Polireddi has designed an AI Chatbot for American Express apply website. This chatbot is capable of streamlining operational processes and improving user experience by facilitating immediate response to user queries, effectively handling high-volume interactions, and ultimately expediting credit card acquisitions for American Express. Following this development, over 90,000 conversations were held over the 90 days while reducing operational costs by 30%.

Polireddi's current project for Verizon features the introduction of a groundbreaking GPS solution known as Hyper Precise Location (HPL) using Real-Time Kinematics (RTK). This technology ensures location accuracy within one to two centimeters on the Verizon 5G network, which is crucial for autonomous vehicles and high-definition (HD) maps. The project involved seamless integration of AWS cloud solutions with Node.js application deployment practices, garnering attention from multiple Fortune 500 clients for Verizon.

“I strongly believe that secure web chatbots have the potential to become the primary channel for customer service in years to come. The combination of NLP and ML has enabled chatbots to understand conversations more intelligently, comprehend the nuances of query intention, and improve their accuracy in executing commands, even in technical situations,” said Polireddi. “It is a matter of great pride for me to be able to utilize my knowledge and wisdom in building a digitally transformed America.”

References:

https://explodingtopics.com/blog/digital-transformation-stats

Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR.