Many of you will be familiar with the Hollywood hit movie Moneyball, which told the story of how the use of data and algorithms in American baseball assembled a winning team. It feels as though we’re now at a tipping point in how algorithms (and also artificial intelligence) will be heavily immersed into society and business. Narrowing down to the discussion point at hand - both hold unbound and unthought of potential in transforming how humans come to optimal decisions.
The increased volume and velocity in the accumulation of data means it can be daunting for a business to effectively use algorithms and AI to help make decisions. Whether these are strategic decisions (for example, influencing a company acquisition decision) or smaller day-to-day decisions (what should my next action be on a sales opportunity). In addition to this, the majority of companies in the present day use information systems that cannot process all of this data, let alone use it to predict and better competitive positioning.
It doesn’t seem completely irrational to think that a world in the future could mirror a Minority Report level of artificial intelligence - one where algorithms evaluate multiple scenarios, data points, potential outcomes - and provide us with optimal actions to take. This next-level type of decision-making would undoubtedly offer competitive advantages to those willing to adapt:
An interesting sub-plot to unravel is the dynamic between human derived business acumen and the increased use of AI and algorithms. Will the former be devalued with an increased faith put into AI and algorithms for decision making? Posing the above question is not how it will play out in real-life - one will not simply replace the other. But it is an interesting subplot nonetheless.
An important consideration of comparing the two is the context. For example, algorithms are able to outperform humans in active stock management, but the interpersonal communication skills required to negotiate and close a sales deal are secured through a human connection. Manufacturing process-level decisions are made by algorithms, but a human resource hiring decision is deeply influenced by a human connection.
For a human to acquire a high degree of business acumen requires years of education, nurturement, personal development, and on-the-job experience. This produces one human to various capability standards -- and are often regularly replaced at a high cost. An artificial intelligence decision-making engine learns and adapts at a rate, speed and scale like no human can. In the future a harmony between the two will become the apex for decision-making. An MBA educated individual required for the interpersonal, motivation, leadership and day-to-day management, that is equipped with a cutting edge artificial intelligence system.
Here are some simple examples where AI and Algorithms can be utilised in everyday decision-making:
We’re at a critical moment in time in the adaptation of algorithms and artificial intelligence. If we want to bring this to the zenith of its potential, it will require a re-equipping with the latest technologies and addressing the culture of how people will use them -- and using this entire process as a catalyst for positive change.
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