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We recently published a new Synthesio report – authored by our very own AI expert and CMO, Allen Bonde – called AI 101: Understanding Popular Artificial Intelligence Techniques and Top Tips for Putting Them to Work.
The report provides a brief history of AI (spoiler: AI is not a new topic, and has been through many boom-and-bust cycles over the past 70 years), and explores the many flavors of AI including “reasoning” and “learning” systems.
Yet, as Allen notes, today’s AI boom is driven by the convergence of a number of factors: an explosion of data from the Web and internet-connected devices, the broad availability of AI platforms, a new generation of engineers and programmers who grew up with tools like RStudio and Python, the emergence of “hybrid” approaches that make AI both more accurate and more scalable, and of course a focus on specific business use cases vs. trying to solve just “big” AI problems.
It’s also partially driven by the COVID-19 crisis. AI adoption has skyrocketed in recent years as companies turned to AI to improve efficiency, fuel digital innovation, and create new products and services. One study from PwC found that 52% of companies accelerated their AI adoption plans because of the COVID-19 pandemic, and 86% said that AI was becoming “mainstream technology” at their company last year.
So, it’s time for data and insights teams, digital strategists, product planners, and even marketers to get on board. While there are countless ways to incorporate AI (like with a proven AICI platform), teams always benefit from starting small and looking for ways to apply AI to processes and data sources that bring out their value – for the broadest set of users.
Whether you’re just starting on your AI journey or are scaling up programs, here are our top 7 tips for putting AI to work (and a sneak preview of the new report!):
To master “AI 101”, download the full report here. Curious to see AI-enabled consumer intelligence in action? You can also request a demo with one of experts here.
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