The AI opportunity is born out of the ability to compute the vast volumes of digital exhaust (data) being created. The data available that can help make business decisions has increased exponentially. Mining that information for value is only possible with a solution that can recognize patterns within the data. Artificial Intelligence is traditionally defined as systems performing tasks usually performed by humans. Most AI is theoretical or academic not applied. But in global corporate enterprise AI is about finding and leveraging insights outside and inside an organization to solve actual problems. In short Applied AI is using systems to make business decisions normally made by humans.
Organizations are now trying to find the next opportunity, whilst the old opportunity gets disrupted. This is true of all organizations regardless of whether the company is digitally transforming or is digitally native. An organization's data landscape changes based on the journey. Old enterprises are digitizing initially at the core- hence intelligent automation having initial successes in the back office. When evolving a business model through digital transformation, the key context must be the economics of data analytics and digital transformation. There must be a virtuous cycle of learning from data, instead of just finding insight from data. Each organization must find a way to connect the feedback loop.
Until now, the decision making feedback loop for global corporate enterprise has consisted mostly of humans and intuition. The decision making feedback loop has evolved. Applied AI replaces humans with systems and intuition with vast volumes of data to harness the value of decisions to the bottom line.
Head of Analytics
Chief Engineer, AI Lead
Head of Product for AI, Core Technology
Chief Data Officer
Founder & Head of Product
Digital Analytics Association
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HOURS OF CONTENT