There is no shortage of topics to talk about when it comes to AI, like Google’s AlphaGo Zero defeating its groundbreaking predecessor at the game of Go by a score of 100–0 at the end of 2017 or Elon Musk’s audacious plans for Neuralink.
While these topics are no doubt interesting, we’re confident that plenty of ink will be spilled this year around these stories. A more productive use of this report will be to focus on the areas that might grab fewer headlines but that we believe will most tangibly affect the enterprise in the coming year.
As organizations look to translate emerging technologies into customer advocacy and operational efficiency, many may be surprised to find opportunities closer than expected.
First things first. At Solstice, we believe that a better descriptor of these technologies is not artificial intelligence but augmented intelligence. AI isn’t about automating the human condition; it’s about enhancing its endless potential.
The business impacts of AI can be subdivided into three key categories: intelligent interactions (e.g., search and conversational experiences), intelligent
In looking for the right opportunities for reimagination, look no further than the
Next-generation conversational experiences will be unlocked. Over the last several years, the market’s been flooded with assistants
such as Alexa, Siri, Google Assistant, and more. As we move beyond basic Q&A to more meaningful interactions, the real value of conversational experiences will be realized.
Visual search and computer vision will push our devices to interpret the world just as we do. From intelligent claims processing for insurance to more precise irrigation methods for agribusiness, this will have massive implications on industries this year.
Automated operations will take center stage in 2018 as brands look to streamline typically laborious processes to not only save time and money but to create better customer experiences.
Conversations involving AI should start by focusing on fundamental business needs like reducing customer churn, streamlining user onboarding, anticipating customer questions, and delivering personalized experiences.We believe AI experiments that begin in the innovation lab as technology experiments will likely die in the lab. Experiments that begin with business outcomes in mind and work backwards to the technology are far more likely to grab headlines. 2018 is the year of meaningful augmented intelligence.