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IBM and Tech Mahindra renew partnership

IBM and Tech Mahindra are renewing their partnership this year to address several challenges in the field of artificial intelligence. The union between a Western giant and an Asian one can only generate virtuous competition with interesting results for research and development on a global scale. Find out what they are working on in this article.
October 8, 2024

This year, IBM and Tech Mahindra renewed their partnership, which began in 2020 after two decades of collaboration. Today, this partnership focuses on the responsible adoption of generative artificial intelligence. In fact, the two companies announced the integration of Tech Mahindra's suite of AI solutions, TechM amplifAI, with the platform IBM watsonx, to facilitate the creation of reliable and scalable AI models.

Let’s take a closer look at what we’re talking about and the implications for the global technology landscape. Let’s start by identifying the two companies.

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Credits: IBM and Tech Mahindra

Who are IBM and Tech Mahindra

IBM is one of the world's leading AI companies. We are talking about a global leader in hybrid cloud and artificial intelligence, with a strong presence in the technology consulting sector.

Tech Mahindra is an Indian IT services company that offers digital solutions globally. Its core competencies are in artificial intelligence and, of course, digital transformation. The latter is especially interesting as it is a crucial vehicle for innovation.

What is the point of advancing technologically if we cannot adapt the resources currently available?

Code Modernization and Virtual Assistance 2.0

As anticipated in the introduction, this renewed partnership includes the integration between the two leading AI solutions from IBM and Tech Mahindra. By combining their expertise in consulting and technology, they aim to address the challenges of code modernization and creating better digital assistants.

Modernizing the code involves Upgrade legacy applications to make them compatible with modern infrastructures, such as the cloud. The challenges in this regard concern the managing the complexity of existing code, downtime minimization during the transition and that new versions are secure and scalable.

Creating digital assistants for customer service, on the other hand, implies a Accurate AI training on company data to effectively respond to customer requests. Customers who, mind you, are not just average users, but above all companies and corporations. Here the challenge is to ensure the accuracy of answers, maintain the natural interaction of artificial intelligence and the management of issues related to data privacy.

Implications for the global landscape

A Western and an Eastern giant working closely together to meet the challenges of the future can be a game-changer. The generation of virtuous competition stimulates research and development…always hoping that the race does not leave ethics behind.

Talking about AI, data and interactions with people, in fact it becomes a minefield. However it seems that one of the focuses of this collaboration concerns transparency and reliability in AI models in terms of governance and security.

Users' sensitivity on these issues can undoubtedly act as a major deterrent. In fact, the more aware and sensitive people are, the more companies will have to direct their brand identity on these values.

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