Compute power driving advances in Artificial Intelligence

Improvements in compute has been a key component of Artificial Intelligence advancements and it’s worth preparing for future requirements, keeping in mind the speed of growth, so we are prepared for system requirements for the future to support the needs. Whether you want to call AI the new oil or the spark that ignited an industrial revolution we need to be aware that in future a lot more will be happening in this space.

As we are witnessing, there has been a massive growth in compute power over the past six years, which has resulted in driving advances in artificial intelligence. Compute power used in AI has globally doubled every 3.5 months since the last decade.

Together with big data and improvements to algorithms, this boom in compute is creating a new pathway to the future for both businesses and the society.

Today AI is being used by large organizations to make critical decisions like who should be granted loans if there is no credit history available or also by government entities as to how hunger and poverty can be reduced.

The continuous increase in speed and capacity of CPUs and chips is also helping in developing AI models closer to human reasoning and problem-solving skills resulting in more usage and application of AI in organizations.

AI can be applied in so many ways in an organization, like for example autonomous operations which uses computer power to free up people’s time to perform tasks. Computers can operate 24/7. This allows you to leverage their capacity for problem-solving and to engage more with customers, where you can provide customers solutions to their problems. Not just that, you can also take advantage of technologies like Robotic Process Automation (RPA) and computer vision to identify patterns, for example in the financial industry you can identify default risks and detect fraud.

General perception of AI is that it is mostly associated with robots or self-driving cars, but that is not true, AI is a broader term. It covers a huge range of fields. One of them is computer vision, where the computer is able to identify what it is looking at and interact with those objects. Or even translation, people don’t generally think about AI when they see a translation tool but that is a great application of AI.

AI is being used in a wide variety of fields and the usage will keep on increasing. However with advancements in this space we need to be mindful of the skillsets that will required to operate in the new era of AI. More training and workshops need to be conducted to educate and develop talent for AI application. Universities need to offer programs in the field of AI.

To conclude, compute power will constantly aid in AI advancements and for organizations to maintain their competitive edge, they will need to look into deployment of AI in their infrastructure and operations which will allow them to achieve efficiencies and advantages.?