Strategic alignment of Data can avoid bias in AI models

Due to the pandemic when economies across the globe took a hit, organizations started thinking of newer ways to do business and move away from traditional methods as it was not proving beneficial due to various restrictions. That is when AI was needed, as organizations wanted to understand the current situation based on past historical data and how it can be leveraged beneficially for their organization. AI is the best possible solution that came into picture as it provided them not only the insights from past but also about what is going to happen in future and what needs to be done to get maximum returns, said Chandrasekhar Balasubramanyam, Vice President, Insights & Data - India, Capgemini. 

He speaks on the challenges organizations face when they implement AI, and how Capgemini helps organizations unlock the full potential of Data and AI.

Excerpt:

What are some of the major issues that are faced by the customers in implementing AI? 

There are no such issues with AI, but the challenges do come when data is not properly organized, therefore the problem of data biasness arises for customers. AI provides possible drivers as per customer requirement based on data. But, in case if data has some challenges which may be due to multiple reasons like source, way of collection, storage, etc. then the output from the AI model too is not correct and thus the challenges arise. Also, at times if a data scientist is not experienced enough to select the right library or algorithm for the data or domain s/he is working on and the right model is not selected such things may arise, but they contribute very minimal percentage as it can be identified during the testing phase.

What is the scope of growth of ethical AI and how is it beneficial for the organizations? 

Ethical AI mainly focuses on dealing with data and AI models in a responsible way and does not try to manipulate or provide any information that is not needed by an individual or an organization or may harm anyone. Organization can benefit from Ethical AI in multiple ways:

-They can follow various compliance policies across AI life cycle

-Customers can avoid any unethical behavior or can even identify them based on patterns from AI models whether internal or external and intentional or unintentional

-Customer can work in areas for human development based on their requirements

What is the best way to implement ethically robust AI by organizations? 

It is multi-level implementation starting from infrastructure to data to AI models which starts from the due diligence phase itself. We need to ensure their current landscape and make sure the future landscape covers overall architecture in a right manner. It has to sustainable too along with ethical AI, so the infrastructure is able to support this for long term without any issues. Data too has to be aligned to eliminate bias and provide the right picture for AI models.

What is Capgemini's Perform AI and how is it helpful? 

Perform AI is Capgemini’s comprehensive portfolio of AI and Analytics services, that provides the organizations with the ability to leverage the full transformative power of Data and AI at scale. By activating data and insights at the heart of the business, in everyday decisions and actions, you will augment the organization’s intelligence, and amplify business outcomes one  expect from Data and AI. 

The Capgemini Perform AI group portfolio is developed and deployed by a dedicated team comprised of:

-A global network of Centres of Excellence for Perform AI to drive unified solutioning for our clients - in North America, France, UK, Germany, Nordics, Netherlands, Spain, Poland, India, APAC, as well as a dedicated CoE for Financial Services clients

-A network of Global Offer Leaders, each one in charge of a specific global service offering as part of the group portfolio

-A dedicated team of Perform AI experts, business evangelists and solution architects, in charge of driving exceptional strategic client engagement with the entire group portfolio

One of the first mission statements of Perform AI within Capgemini and for its clients was to "infuse AI everywhere". Therefore, Capgemini Perform AI team is tightly connected and integrated with all Capgemini service practices including Insights and Data, Business Services, Capgemini Invent, Digital Engineering and Manufacturing Services, Cloud Infrastructure Services as well as the SAP, Digital Customer Experience, Custom Software Development and Sogeti application business lines and teams.