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

Sign in

India's largest platform and marketplace for AI & Analytics 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

  • CxOs’ guide to achieve “escape velocity” for NextGen approaches!

    Featured Article Author: Vivek Mahendra, Managing Partner, Vivikta Advisory Prelude This is an Enterprise Architect’s perspective on the approach to scale the NextGen Solutions (read, AI/Generative AI/LLMs/Deep Learning led business solutions). A part of the 3 Point-of-View Thought Leadership series, this article focuses on the two foundational aspects – Leadership Archetypes its impact and learnings […]

  • 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 […]

  • AI to outmanoeuvre human drivers

    As driverless cars become a mainstream reality, AI is aiding it greatly to  remove all barriers to autonomous function and humanization of its operation. The biggest challenge self-driving cars will have to overcome on the road is being able to react to the randomness of traffic flow, other drivers, and the fact that no two […]

  • Major Cybersecurity Incidents of 2020

    From ransomware schemes to supply chain attacks, this year melded classic hacks with extraordinary circumstances. WHAT A WAY to kick off a new decade. 2020 showcased all of the digital risks and cybersecurity woes you’ve come to expect in the modern era, but this year was unique in the ways Covid-19 radically and tragically transformed life around the […]