India's largest platform and marketplace for GCC & AI leaders and professionals

Sign in

India's largest platform and marketplace for GCC & AI leaders and professionals

3AI Digital Library

AI@scale: How to go about it

3AI January 13, 2020

AI is invoking shifts in the business value chains of enterprises. And it is redefining what it takes for enterprises to achieve competitive advantage. Yet, even as several enterprises have begun applying AI engagements with impressive results, few have developed full-scale AI capabilities that are systemic and enterprise wide.

The power of AI is changing business as we know it. AIQRATE AI@scale advisory services allow you to transform your operating model, so you can move beyond isolated AI use cases toward an enterprise wide program and realize the full value potential.

We have realized that that unleashing the true power of AI requires scaling it across the entire business functions and value chain and its calls for “transforming the business “.

An AI@scale transformation should occur through a series of top-down and bottom-up actions to create alignment, buy-in, and follow-through. This ensures the successful industrialization of AI across enterprises and their value chains.

The following strategic interventions are to be initiated to build AI@scale transformation program:

  • AI Maturity Assessment: This strategic top-down establishes the overall context of the transformation and helps prevent the enterprises from pursuing isolated AI pilots. The maturity assessment is typically based on a blend of AI masterclass, surveys and assessments
  • Strategic AI Initiatives and business value chains: This bottom-up step provides a baseline of current AI initiatives. It should include goals, business cases, accountabilities, work streams, and milestones in addition to an analysis of data management, algorithms, performance metrics. A review of the current business value chain and proposed transformational structure should also be conducted at this stage.
  • Strategic mapping & gap Analysis: The next top-down step prioritizes AI initiatives, focusing on easy wins and low hanging fruits. This step also identifies the required changes to the operating business model.
  • AI@scale transformation program: This critical strategic step consists of both the transformation roadmap, including the order of initiatives to be rolled out, and the creation of a planned program management approach to oversee the transformation.
  • AI@scale implementation: This covers implementation, detailing the work streams, responsibilities, targets, milestones, talent and partner mapping.

By systematically moving through these steps, the implementation of AI@scale will proceed with much greater speed and certainty. Enterprises must be aware that AI@scale requires deep transformative changes and need strategic and operational buy ins from management for long term business gains and impact .

AIQRATE works closely with global & Indian enterprises , GCC’s , VC/PE firms to provide end-to-end AI@scale advisory services

Related Posts

AIQRATIONS

    3AI Trending Articles

  • Future of Work 2.0: Reimagining Work in the Age of Contextual Generative AI

    Featured Article Author: Mahadevann Iyerr, MAAVRUS The way we work is changing a lot, and it’s more than just using new technology. As technology improves quickly and more data is created, businesses need to rethink how they do things to stay successful. This change is happening because of AI, the huge amount of data we […]

  • Process Mining and Task Mining fuels Automation across the Enterprise

    Featured Article: Author: Prakash Narayanan, Head of RPA & Intelligent Automation, Cyient Every business is a collection of core processes. Processes are the foundational infrastructure and form the basic element of business operations. In 1911, Frederick Winslow Taylor became the first person to study and optimize workplace productivity. His monograph ‘The Principles of Scientific Management’ […]

  • IoT devices at risk from Amnesia:33

    A new series of vulnerabilities dubbed Amnesia:33 puts millions of IoT devices at risk of being compromised. Security researchers from Forescout disclosed the 33 vulnerabilities today. The flaws are found in four open-source TCP/IP libraries used in the firmware of products from over 150 vendors. According to the researchers’ estimates, millions of consumer and enterprise […]

  • How Augmented Analytics is Transforming the Analytics Ecosystem

    Author:  Sidharth Sivasailam, Vice President – Products, Course5 Intelligence | LinkedIn – https://www.linkedin.com/in/sidharthsiva/ The world of Business Analytics is at an inflection point. Trillions of bytes of data are being generated every day; however, companies continue to struggle with harmonizing this data, analyzing the data of various shapes and sizes they are storing, determining what’s […]