Adoption of GenAI must be strategic to harness its potential

In the rapidly evolving landscape of technology, Generative Artificial Intelligence (GenAI) has emerged as a powerful tool that is reshaping the way organisations operate. However, the paradigm shift driven by GenAI isn’t without its challenges and calls for strategic adaptation by companies across the globe.

In a recent statement, Sheila Rohra, CEO of Hitachi Vantara, emphasised the importance of leveraging GenAI in a strategically selective manner. Rohra pointed out that while organisations are eager to engage with GenAI, many do so without clearly defining their goals, resulting in 1,200 proofs of concepts (PoCs) in 2023 alone, with less than 18% reaching production, according to research by Everest Group. This trend is further corroborated by Gartner, which predicts a deceleration in 90% of GenAI deployments by 2025 as costs are anticipated to outpace the value.

To successfully integrate GenAI, Rohra suggests organisations should begin by thoroughly defining the problems they aim to address with AI, explicitly specifying expected outcomes. This strategic blueprint is crucial due to the requirement of significant computational resources and robust IT infrastructure, which can rapidly inflate expenses. Additionally, considering the planet’s sustainability goals, Rohra stresses that GenAI should only be deployed for challenges that defy resolution through conventional means.

Furthermore, the implementation of resilient policies and infrastructures was highlighted as a pivotal requirement for GenAI’s success. With mission-critical enterprise applications demanding near-perfect accuracy, the quality of data input into GenAI systems is paramount. Despite its critical importance, a study revealed that only 44% of organisations possess well-defined GenAI policies, and a mere 37% feel equipped with an adequate infrastructure and data ecosystem for GenAI execution. Rohra advises collaborating with data experts to instill robust data management strategies addressing both security and integrity.

With regulatory oversight increasingly stringent, particularly following the European Union’s AI Act effective from August 1, 2023, maintaining high-quality data sets is critical. This regulation mandates high-risk AI systems to incorporate risk mitigation strategies that encompass accuracy, cybersecurity, and robustness, alongside human oversight and comprehensive documentation.

The proliferation of GenAI is also accentuating storage demands and broadening infrastructure challenges. Thus, Rohra underscores the necessity for modern businesses to establish a foundational data infrastructure enabling them to manage and harness data across diverse environments – whether on premises, in the cloud, or at the edge.

In conclusion, the integration of GenAI into business operations signifies both an art and a science. Its successful deployment hinges on a seamless amalgamation of seasoned knowledge and cutting-edge innovations in data management. As businesses aim to harness AI to streamline mundane tasks or facilitate product differentiation for enhanced revenues, the strategic execution of GenAI can drive significant transformations across industries worldwide.

Source: Noah Wire Services