The importance of data in the adoption of AI
- Written by Tal Nathan, Vice President, GTM at NTT DATA
In today's rapidly evolving digital landscape, the integration of artificial intelligence (AI) has become a cornerstone for organisations seeking to drive innovation and transformation across various sectors. From digital twins to deepfakes, businesses are using artificial intelligence (AI) to innovate and stay ahead of the game. While technological advances have allowed businesses to tap into the potential of AI to broaden their offerings and offer better products and services, it is imperative for businesses to understand the best ways they can leverage AI effectively so that they can maximise the full potential of AI.
With the birth of AI, businesses have now been able to leverage AI to address these problems. However, while AI can effectively help businesses, it has to be used in a safe and tested manner, as inaccurate use of AI can lead to unintended consequences. For instance, healthcare, a key industry for Australia, can leverage AI to tap into AI-assisted tools and derive medical diagnoses quickly and more effectively. However, if not implemented properly, AI can result in an incorrect diagnosis of patients, which can have detrimental and irreversible consequences. So while AI can help to address complex challenges and improve operational efficiency for businesses, it is important that businesses are leveraging AI safely and responsibly.
To ensure that businesses are ready for the adoption of AI, businesses must evaluate their data infrastructure and quality. For optimal functionality, businesses need to have in place seamless integration, efficient orchestration and new methods of analysis and decision-making.
Always check if you have the necessary data governance practices in place and if there are data privacy and compliance considerations to address. AI isn't just a technological consideration — it's also a matter of ethics and compliance. As AI technologies become more sophisticated, the ethical implications of their use become increasingly significant. Poor or outdated data can result in biased or incorrect results, which will result in failed AI implementations.
The journey to AI adoption
NTT DATA’s three-week readiness assessment is a comprehensive evaluation of an organisation’s preparedness to implement and leverage AI technologies. By focusing on key pillars like governance, cloud computing, data management, and security, organisations can establish a robust structure to navigate the realms of AI for successful implementation and utilisation.
The assessment provides businesses with a rating against each of the pillars, which helps businesses identify gaps that will allow them to better understand business needs, determine its current capabilities, and thereafter apply and scale GenAI in a faster and more secure manner.
Without robust data foundations, AI implementations are destined to falter. As we embark on this AI-driven journey, businesses must ensure that they leverage existing and available data to develop a strategic and stable approach to adopting AI.
AI can help businesses navigate intricate and complex IT ecosystems and make sense of vast datasets, providing businesses with the insights needed to streamline operations and enhance efficiency. By leveraging data and AI technologies strategically, organisations can unlock new possibilities, drive operational excellence, and stay ahead in today's competitive landscape.
