I've been working in the financial services space for close to thirty years now. I've seen many trends and technologies emerge. Some take hold, and several are just a flash in the pan. Regardless of how long a concept sticks around, one thing remains: Terminology plays a material role in shaping perceptions. In a world where messaging tends to over complicate things, too many acronyms and too many buzzwords all work against what should be the primary objective: clearly illustrating value.
Artificial Intelligence (AI)
Since the onset of COVID-19, artificial intelligence, data science and machine learning have gone from time-saving to life-saving technologies. The fact is, they have rapidly emerged as powerful weapons in the fight against the pandemic.
From accelerating testing capabilities to enforcing social distancing measures, these bots – formerly unsung heroes of AI – have suddenly taken on a significant role in altering the way we face pandemics.
Here are some of the ways bots continue to play an essential role in the fight against COVID-19:
Today, about 80% of large organizations are using artificial intelligence in their core business – compared to about 10% just five years ago. Companies that focus on AI are harnessing opportunities from vast data availability, machine learning and complementary technologies such as cloud, Internet of Things (IoT) and 3-D printing. And they are doing so with a focus on short-term benefits as well as long-term growth. According to Harvard Business Review, if you miss out, the opportunity cost could be as much as 41% of revenue by 2023.
There were two stories in recent news that grabbed my attention. All across the country, food banks are overwhelmed with demand. Families in desperate need waited for hours for a week’s worth of supplies over Easter weekend, with lines of cars stretching for miles. The demand outstretched many facilities’ ability to fulfill, with some leaving empty-handed, or with less than they need.
Artificial Intelligence (AI) has now invaded how industries operate in more ways than we can count and know. It has developed into a welcome (and now necessary) addition to boost efficiency, sharpen forecasts and speed up certain processes. Any company that sells a product has a supply chain, which is the network of all the stakeholders involved in the creation and distribution of a certain product, and any supply chain can benefit from AI.