BIREN SHAH
MD, Adit Microsys Pvt. Ltd.
We are currently at an initial stage of AI solutions and are certainly not at enterprise-scale AI deployment yet. The biggest challenge we see is not skills, security, compliance, or infrastructure, but the lack of clarity among most customers on what direction they want to take for AI deployment. At present, we see only small and often half- hearted attempts at AI deployment, except in cases where there is a clear use case and a solution in sight. Without this clarity, it is difficult for enterprises to move beyond limited pilots toward broader AI adoption.
In addressing risks such as deepfakes, cyber fraud, and data privacy, our approach is to select solution providers who have already considered and addressed these concerns. At a partner level, it becomes critical to choose wisely and deploy solutions carefully to ensure such risks are minimised. AI leads organisations into uncertain zones where risks are inherent, and it is unlikely that any solution provider can fully understand or completely eliminate these risks.
Since most AI initiatives today are still at a pilot stage, cloud-native and hybrid architectures are effectively a given in shaping our AI roadmap. Solutions that are only on-premise are not likely to take off, and we do not expect to focus on such offerings. With regard to initiatives such as Digital India and IndiaAI, it is still too early to foresee their relevance, and our focus will remain on how AI solutions align with the specific problems and goals of customer AI initiatives.
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