What it really takes to scale artificial intelligence
Changing company culture is the key—and often the biggest challenge—to scaling artificial intelligence across your organization.
It’s an exciting time for leaders. Artificial intelligence (AI) capabilities are on the precipice of revolutionizing the way we work, reshaping businesses, industries, economies, the labor force, and our everyday lives. We estimate AI-powered applications will add $13 trillion in value to the global economy in the coming decade, and leaders are energizing their agendas and investing handsomely in AI to capitalize on the opportunity—to the tune of $26 billion to $39 billion in 2016 alone.
Meanwhile, AI enablers such as data generation, storage capacity, computer processing power, and modeling techniques are all on exponential upswings and becoming increasingly affordable and accessible via the cloud.
Conditions seem ripe for companies to succeed with AI. Yet, the reality is that many organizations’ efforts are falling short, with a majority of companies only piloting AI or using it in a single business process—and thus gaining only incremental benefits.
Why the disappointing results?
Many organizations aren’t spending the necessary (and significant) time and resources on the cultural and organizational changes required to bring AI to a level of scale capable of delivering meaningful value—where every pilot enjoys widespread end-user adoption and pilots across the organization are produced in a consistent, fast, and repeatable manner. Without addressing these changes up front, efforts to scale AI can quickly derail.
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