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
Become a Thought Leader
Become a 3AI Member

Sign in

3AI Digital Library

< Go Back

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

  • Pandemic has “fundamentally accelerated” the process of digital transformation – Satya Nadella

    “What we were going to think about during 2030 is probably going to be true in 2025,” Nadella added. He was speaking at the Resurgence TiEcon Delhi-NCR summit. The pandemic has “fundamentally accelerated” the process of digital transformation across industries, and companies equipped with digital technology are going to be more resilient and be able […]

  • MassMutual GCC to come up in Hyderabad

    With 300+ associates and leadership in all functional areas already on-board, MassMutual India is actively hiring for multiple roles in the areas of application development and support, cloud engineering, data science, and analytics, said a statement from the minister’s office. Massachusetts Mutual Life Insurance Company, a US-based leading life insurer, Monday announced opening of a […]

  • ML & Data Science Solutions: Build, Buy or Outsource?

    Data and analytics leaders increasingly believe that data science is a critical component of their analytics and business intelligence (BI) modernization plans, and are clamoring to incorporate new. Technologies such as predictive analytics, machine learning and deep neural nets sit at the Peak of Inflated Expectations on related Gartner Hype Cycle. While some degree of backlash […]

  • Winuall raises Rs 14.7 crore to digitize coaching institutes

    The startup will use the fresh capital to enhance product capabilities and hire across technology, product, AI, and business development teams Winuall, an online education platform that helps coaching institutes go digital, has raised Rs14.7 crore from Prime Venture Partners, Beenext, Ramakant Sharma, founder of LivSpace and other angel investors. Winuall aims to democratize technology […]