Harvard Business Review: 3 shifts organizations must make to scale AI

Despite estimates that artificial intelligence could generate an addition of $13 trillion to the global economy in the next decade, most organizations have been slow to implement AI on a widespread basis.

According to the Harvard Business Review, this lack of progress stems from a reluctance to completely overhaul and rewire an organization, with most choosing instead to introduce AI one project at a time. However, a total overhaul is absolutely necessary for those looking to reap the benefits of AI and other advanced technologies.

Here are three shifts, per HBR, that organizations must make to effectively incorporate AI as a companywide program:

1. Teams developing AI should combine the business and operational sectors with analytics experts to consider all angles and potential effects of a proposed initiative, ensure initiatives address broad organizational priorities and get more people involved in widespread adoption efforts.

2. Decision-making must be democratized: Because AI works best when an algorithm's recommendations are augmented by human expertise, employees must both trust the technology and feel empowered to make decisions without appealing to a superior.

3. Organizations will need to alter their mindset from rigid and risk-averse to experimental and adaptable, since AI is constantly evolving and increases in functionality with continued usage.

More articles about AI:
Cleveland Clinic uses AI, medical records, scans to personalize radiation therapy
Children's National receives federal grants for use of AI in diagnosing, treating rare diseases
18 latest findings on medical AI: algorithms to detect 'covert consciousness,' diabetic retinopathy & more

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