Accuracy (and Options) Are Getting Better…
A big question for most prospective users is: can smart assistants accurately provide the information you need? The answer is “sort of.” In 2018, for example, Siri is only able to answer about 40% of general knowledge queries. Of those questions answered, it gets roughly 80% correct. Compared to last year—when Siri could only answer 31% of questions it was asked—its available knowledge base has grown remarkably. But accuracy has actually decreased; in 2017, even though Siri could answer fewer questions, it got a higher percentage (86%) correct.
Siri was the first smart assistant to go mainstream, and it still dominates the market. But today, almost every major tech brand offers a smart assistant. The biggest players are Amazon’s Alexa, Google Assistant, and Microsoft’s Cortana.
Users have much more choice today than they did three years ago—which means that you can choose a smart assistant that best fits your needs. Accuracy is much higher for Google Assistant, for example, which is natively integrated with their world-class search engine.
…But AI Still Needs to Improve…
Ever wonder why sometimes, your smart assistant seems to be less-than-perfect? Maybe you asked Siri for a vegetarian place to eat lunch with your team—and it suggested a steakhouse. Or perhaps you had to repeat yourself five times before it understood what you were asking for. That’s because the technology behind these digital helpers is complex—and far from perfect. Smart assistants rely heavily on artificial intelligence (AI) to create personalized, useful experiences. AI is the force behind Natural Language Processing (NLP), which allows your assistant to understand human language the way it’s actually spoken. It’s also what allows your assistant to learn from its experiences with you and get smarter over time.By 2021, 1.8 billion people will use a smart assistant.Despite all the hype surrounding it, AI still has a long way to go in terms of being a substitute for human interaction. It’s not great at soft skills, can be difficult to train, and often has trouble with complex statements and reading between the lines—in short, all the skills that are so highly prized in human assistants. (Case in point: veteran journalist John H. Richardson recently wrote about how frustrating an AI-powered scheduling tool was to use.) That’s something that the companies who build smart assistants hope to change—and soon. “We see this space as more than just building a personal assistant feature,” writes Marcus Ash, a Group Program Manager who works on Microsoft’s Cortana. “This is a long-term opportunity to build the first contextual operating service: a system that knows you so well that it can predict your patterns to help you get things done.”



