Cyber infrastructures need to be reliable to support emerging technologies as scaling amid increasing demand for artificial intelligence (AI), according to a top official.
The official warned that AI is not a silver bullet, citing several caveats, including the high cost of token usage, which has only been discovered in the past few years. He stated that data centers require a lot of power, and increasing use of AI services will drive this up even more.
The need to ensure resilient digital infrastructure and address bottlenecks related to digital autonomy is crucial, as most companies globally are still catching up and figuring out how to scale their AI capabilities. The official noted that almost 80% of corporations in the world are still AI curious, and only about 20% are AI-ready.
Organizations' infrastructure reliability is being tested by the scale and complexity of emerging technologies, while operational resilience is weighed down by fragile systems and the lack of unified models. The official emphasized the importance of enhancing data quality and sovereignty.
The official outlined several key considerations for companies looking to leverage AI, including the reliability of digital technology, data quality, and the ability to harness and assess data. He warned that poor data quality will hinder AI success, regardless of the power of a model.
Companies also face power and compute constraints as their foundations are limiting speed and autonomy. Governance and compliance, as well as security issues, are also concerns commonly faced by companies looking to expand their AI services.
