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

  • Amazon, Microsoft, Google: Platform of choice for European cloud services

    Amazon Web Services (AWS), Microsoft, and Google are continuing to blot out European service providers as the platform of choice for European cloud services, according to a new report from Synergy Research Group. The report found that while the European cloud market has more than tripled over the past three years, European service providers have seen their […]

  • Cross-Validation techniques to assess your model’s stability

    Featured Article: Author:  Sai Nikhilesh Kasturi, Data Science & Analytics, Customer Insights & Analysis, American Airlines One of the foremost interesting and challenging things about data science hackathons in Kaggle is struggling to maintain the same ranks on both public and private leader boards. I also have been a victim in struggling to keep the […]

  • Cloud Infrastructure market: Amazon, Microsoft, and Google continue to thrive

    Even in the middle of a pandemic, companies including Amazon, Microsoft, and Google continue to thrive thanks to their control over the cloud infrastructure market. When we talk about regulating big tech, the discussion usually centers on online privacy and location tracking, but we never seem to discuss the control these companies have over a vast […]

  • Data Science redefines Consulting to transform Digital Business Model

    Consulting firms the world over, are looking to develop competencies that would create a definite competitive advantage for them in the market. The consulting sector is no longer immune to disruptive technologies that have significantly influenced other digital-enabled businesses and is flooded with new players having a non-traditional approach toward consulting. Globally, companies seeking a […]