As the final moments of Rutger Hauer's tears in the rain monologue come to a close in Blade Runner, Netflix (or your streaming service of preference) has lined up some recommendations for your next viewing choice. From 2001: A Space Odyssey to The Matrix, the site's algorithms find you similarly cerebral films that you may enjoy…or you may not. The stakes are low in this situation. If you end up watching and disliking The Matrix, chances are you won't cancel your monthly subscription; you will simply be more skeptical of Netflix's algorithmic recommendations in the future and continue on with your day as if nothing happened. In the B2C environment, machine learning is a constant presence in the end user's experience.
Personalized experiences are a hot topic these days. Certain types of businesses have become very skilled at delivering personalized service. Think about a hotel you've stayed at before that welcomes you back and remembers that you liked a certain type of pillow, a specific newspaper and a corner room. The experience is becoming more and more common, and this type of service is crossing over into many other industries, especially retail.
How many times have you called customer service expecting a quick answer, but were instead passed around to a number of different people who didn't have your full story, forcing you to repeat yourself unnecessarily? And how many times did this lead to a much longer-than-expected resolution? We've all experienced this at least once and as a result, we understand the importance of streamlining experiences to keep customers happy. It begs the question: How can you deliver an experience that doesn't leave customers running for the hills? By incorporating artificial intelligence into claims, inquiries, and other policy service processes, insurers can deliver more accurate information and streamline customer experiences.
Artificial intelligence is a controversial topic in the technology world. While some argue that it brings with it a host of potential dangers, others say that it can make the world safer, easier, and more efficient. While both sides of the argument have merit, there is no denying that A.I. is here to stay, and will undoubtedly have a tremendous impact on tech startups. However, for now there are still some things that A.I. can't improve upon. In this guest blog post, Designli CEO/Co-Founder and friend of the Founder Institute Keith Shields describes what founders will still have to do on their own that A.I. can't.
For many, the thought of artificial intelligence (AI) may conjure up images of robots doing everything from building cars to answering customer phone calls, but AI isn't futuristic; it's the present. AI technology has become widely used in elements of larger systems, but the technology is rarely credited for these successes. It is likely that you've been a witness to many of the latest advances in medical diagnosis or stock trading, many of which now have AI at their core. This lack of transparency when it comes to the use of AI is undoubtedly contributing to this "fear" that robots are taking over the world, as well as a lack of understanding about the capabilities. A recent Pegasystems study found the majority of users are not aware they've used AI, with only 37% of Australian respondents recalling they had had direct AI engagement.