Narwal
  • Home
  • Services
    • AI
      • Data Science & ML Engineering
      • Generative AI
      • Expert Agents
      • ML Operations
      • AI Advisory & Strategy
    • Data
      • Data Engineering
      • Data Modernization
      • Data Monetization
    • Quality Engineering
      • Test Advisory & Transformation Services
      • Quality Assurance
      • Testing of AI
      • Enterprise Apps Testing
      • Software Test Automation
  • Solutions
  • About us
    • Vision
    • Team
    • Growth Advisory Board
    • Clients
    • Achievements
    • Partners
  • Careers
  • Insights
    • Success Story
    • Use Cases
    • Blogs
    • News
    • Newsletter
    • Tech Bytes
  • Contact us
LET'S TALK
  • Quality Engineering Blog
  • Apr 26

Driving Change with Generative AI and Hyperautomation

Driving Change with Generative AI and Hyperautomation

Driving Change with Generative AI and Hyperautomation

With the urgency of climate change escalating, the development and deployment of sustainable technologies are becoming increasingly critical. According to Gartner, sustainable technology is listed among the top strategic trends for 2024, presenting an opportunity to contribute significantly to environmental conservation with an estimated economic impact valued at US$12 trillion [1].  

A comprehensive report by McKinsey highlights the transformative role of generative AI across various industries, projecting that generative AI could yield economic benefits ranging between $2.6 trillion and $4.4 trillion annually [2]. This positions generative AI as a pivotal force in the sustainable technology sector. 

Hyperautomation, which integrates technologies such as robotic process automation (RPA), artificial intelligence (AI), and generative AI, exemplifies an advanced approach to streamlining and scaling automated processes. Experts predict that by 2024, organizations could reduce operational costs by up to 30% by leveraging hyperautomation in conjunction with restructured operational processes. 

Addressing climate change effectively necessitates the adoption of automation technologies in critical sectors such as waste management, electric vehicle (EV) production, sustainable housing, and green construction. These areas stand to benefit immensely from automation, enhancing efficiency and reducing environmental impact. 

Moreover, Gartner forecasts that by the end of 2025, more than half of the global population will be engaged with at least one Internet of Behaviors (IoB) program, whether through private, commercial, or governmental initiatives. This extensive adoption is expected to further support sustainable practices and contribute to reducing carbon footprints. 

The imperative for sustainable technology is clear, and the integration of innovative technologies such as generative AI and hyperautomation is essential for driving forward a sustainable future. These technologies not only promise substantial economic returns but also hold the potential to make a significant positive environmental impact. 

As we continue to navigate the challenges posed by climate change, it is crucial for industries to adopt and innovate with technologies like generative AI and hyperautomation. We invite our readers to share their insights or experiences regarding the implementation of these technologies within their own sectors.  

Join the conversation below or contact us to discover more about how our innovative services in Generative AI and Quality Engineering can transform your business. Our tailor-made solutions are designed to help you lead the industry with sustainable technology. Contact us to explore how we can drive change together. Let’s lead the future together.  

Sources: 
[1] Gartner: Gartner Identifies the Top 10 Strategic Technology Trends for 2024  

[2] McKinsey: Economic potential of generative AI | McKinsey 

Request a Consultation session Today!

Let's Talk

Related Posts

Modernizing SAP Test Automation: Driving Efficiency and Business Confidence for a Leading Agri-Business
Quality Engineering Success Story

Modernizing SAP Test Automation: Driving Efficiency and Business Confidence for a Leading Agri-Business

Modernizing SAP Test Automation: Driving Efficiency and Business Confidence for a Leading Agri-Business Background:  A leading agri-business in Canada faced challenges in its SAP test automation processes, impacting the efficiency and reliability of its IT…

Kishore Kalluri
  • Jan 20
From QA to QE: Test Advisory & Transformation Services for Digital Success
Quality Engineering Blog

From QA to QE: Test Advisory & Transformation Services for Digital Success

From QA to QE: Test Advisory & Transformation Services for Digital Success In the rapidly evolving digital landscape globally, enterprises are embracing digital transformation to stay competitive and deliver exceptional customer experiences. However, achieving this…

Kishore Kalluri
  • Jan 17

Comments (2)

  1. Gary Brock

    Jun 27, 2024

    My brother suggested I might like this website. He was totally right. This post actually made my day. You cann’t imagine just how much time I had spent for this information! Thanks!

    Reply
  2. Wendy

    Jul 13, 2024

    Appreciate this post. Will try it out.

    Reply

Post a Comment

Categories

  • Blog
  • Use Cases
  • Success Story

Latest Post

Intelligent Solutions for Modern Enterprise Challenges: Automating Quality, Accelerating Transformation

Intelligent Solutions for Modern Enterprise Challenges: Automating Quality, Accelerating Transformation

  • May 9, 2025
The Automation Advantage in Data Integrity: Preventing BI Reporting Failures 

The Automation Advantage in Data Integrity: Preventing BI Reporting Failures 

  • May 2, 2025
From Data Lake to Business Assurance: Transforming Unstructured Data Management with Tricentis and Narwal 

From Data Lake to Business Assurance: Transforming Unstructured Data Management with Tricentis and Narwal 

  • April 17, 2025
Unlocking Confidence in Unstructured Data: Addressing Top Challenges in the Data Lake Ecosystem 

Unlocking Confidence in Unstructured Data: Addressing Top Challenges in the Data Lake Ecosystem 

  • April 17, 2025
google-site-verification: google57baff8b2caac9d7.html
Narwal IT services company in cincinnati

“We’re an Al, Data, and Quality Engineering company “

  • contact@narwal.ai
Linkedin Twitter Youtube

Quick Links

  • Home
  • Our Services
  • About us
  • Career
  • Insights
  • Contact

Services

  • AI
  • Data
  • Quality Engineering

Headquarters

8845 Governors Hill Dr, Suite 201

Cincinnati, OH 45249

Our Branches

Cincinnati | Jacksonville | Indianapolis | London | Hyderabad | Bangalore | Pune

Narwal | © 2024 All rights reserved

  • Privacy Policy
  • Terms & Conditions

AI/ML

  • ML
  • Generative AI
  • Intelligent Automation

Automation

  • Transformation Services
  • Intelligent Automation
  • Technology Assurance
  • Business Assurance

Data

  • Data Engineering and Management
  • Data Science
  • Reporting and Analytics

Cloud

  • Cloud Migration
  • Cloud Modernization
  • Cloud Management