India's largest platform and marketplace for GCCs, AI & Analytics leaders & professionals

Sign in

⁠India’s largest platform & marketplace for AI & GCC leaders & 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

  • AI readiness – CEO’s most strategic agenda

    For the larger mass of professionals, the words “artificial intelligence,” or AI, often conjure up images of robots, the sorts of robots that might someday take their jobs. But at the enterprise level, AI means something different. It has enormous power and potential: it can disrupt, innovate, enhance, and in many cases totally transform a business. […]

  • Data Science/Machine Learning and Software Quality

    Featured Article: Author: Biju Kalleppilli, Director-Performance Engineering, SAP Labs India Endless possibilities of data science applications in Software quality are probably an underrated one. At various stages of product testing life cycle, huge amount of data is generated and remain unexplored., primarily because the top management often become happy by looking at the quality metrics […]

  • Salesforce embraces the public cloud with Hyperforce

    Salesforce is letting CIOs choose where they run its software, easing compliance with data protection and data sovereignty laws. Salesforce.com President and COO Bret Taylor believes the SaaS vendor has made “probably the most significant technological shift” since its CRM platform first launched 21 years ago. But Taylor wasn’t talking about the company’s agreement to acquire […]

  • Revolutionizing Claims Journey through Generative AI

    Featured Article Author: Vidhya Veeraraghavan, Standard Chartered In the Claims-2030 series of articles, Mckinsey emphasizes that by 2030, every touchpoint in the claims journey, starting even before an incident occurs, will be supported by a mix of technology and human touch that seamlessly interacts to expedite the process and deliver a better experience across the […]