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AI product management focuses on using Artificial Intelligence (AI), Deep Learning (DL), or Machine (ML) Learning to enhance, improve, create, and shape products. Behind every successful product is a Product Manager or Product Leader responsible for its success. They lead the vision, help with data, facilitate the work of technology teams, listen to customers, have empathy, and drive adoption and growth led by business metrics.
Our AI Product Development Advisory Service is designed to help Product Teams, Project Teams, and other stakeholders to understand and prioritise the actions that will have the greatest impact on an AI program in their unique context. It will help to undertake a technology assessment, develop a business case for the product, define success metrics, scope the dataset, plan the model development, and build a post deployment monitoring plan for best in class results.
Our AI Product Development Advisory Service comprises the following key steps:
Analyse the size of the available data and how well the data fits the product use case.
Develop a clear narrow business case and decide where to use AI in the product.
Generate high quality ground truth dataset, and use test data to evaluate trained models according to predefined metrics.
Develop strategies for mitigating unwanted bias in the model and product.
Ensure data security and compliance for different geographies.
Measure post-deployment impact and make data informed improvements with A/B testing and versioning.
Ensure approved models continuously improve via active leaning.
Plan on how to scale the product according to user audience and demand.
Establish consistent governance throughout an AI product program.
Mitigate unwanted bias in the model and product.
Comply with legal, regulatory as well as organisation’s own requirements to drive trust in the use of AI by customers.
Develop methodology, standards and other technical and data related documentation to support the development of new AI products.
Build an AI product team that can manage data and test product efficacy.
Established ongoing strategies for measuring the success of AI products.
Develop an AI product management environment that follows a consistent approach with clear procedures and work instruction for best in class results.
Start building the critical capabilities to enable your organisation to start using/ or expand the use of AI.
During a Client engagement our Consultants pass through six key phases that form the anatomy of how we manage a typical consulting project. We appreciate every assignment is different, so we have flexible processes in place to bring our experts onboard quickly and effectively without disrupting existing work programmes. We are happy to provide our services at any stage of the lifecycle.
AI can be used by organisations to provide new goods and services, boost productivity, enhance competitiveness, ultimately leading to economic growth and better quality of life.
Learn more about how we can help you achieve your critical priorities: