December 16, 2016

2017 AI Predictions: Personalization, Predictive Analytics & Decision-Making Systems

As 2016 draws to a close, the Verizon Ventures team took time to reflect on various tech sectors that have experienced momentum, took a back seat, or are on the verge of unleashing their true potential. Here’s what we see happening in Artificial Intelligence in 2017:

Artificial Intelligence gets personal and predictive

In 2017, there will be continued investment in AI across all industries ranging from enterprise and security to personal assistants (Click to Tweet). We’ll see the beginnings of predictive analytics, where machines can provide insight on future states in different industries and learn about personal preferences. Chatbots will continue to proliferate and we could potentially see intelligent personal assistants (like add new features such as travel bookings, restaurant reservations, gift shopping, etc. Stay tuned for Siri, Cortana, Google Now and Alexa improving their capabilities as well.”

— Paul Heitlinger

Better disagreements and better context

Computer technology like AI, sentiment analysis and natural language processing (NLP) will help us disagree better and, more generally, better understand argumentation (Click to Tweet). This will become increasingly important as fake news, trolls and partisanship propaganda infiltrate our public discourse. As stated by President Obama in a joint press conference with Chancellor Merkel of Germany:

“If we are not serious about facts and what’s true and what’s not — and particularly in an age of social media where so many people are getting their information in soundbites and snippets off their phones — if we can’t discriminate between serious arguments and propaganda, then we have problems.”

Facebook, Google and others are training the weapons of AI on fighting fake news, and I believe this trend will continue to assess the structure and logical soundness of online argumentation. Imagine an opinion piece graded based on its level of discourse, which can be accomplished with powerful AI, natural language processing and machine learning tools that surface the provenance of the content or data. This can also translate to automated citations for claims in the media with links to source material. As fake news and propaganda continue to spread, there will be demand for tools to help people make sense of and put into context the content they come across.”

 — David Famolari

Systems compete to improve decision-making

“Adversarial Networks will be a big deal in the coming year, with Generative Adversarial Networks (GAN) gaining notable traction. GAN has been used to improve deep learning applications like detecting fraud, image classification, generating images from text descriptions and more. While two AI learning systems are pitted against each other to improve overall performance, some human judgment will be required to ensure that elements of the sample representations are understood. AI will continue to deliver data and predictive analytics to give us greater clarity about possible outcomes, but humans will continue to be captains of key decisions, using AI to illuminate choices and not to abdicate authority.” 

— David Famolari

Tags: David Famolari , Machine Learning , Paul Heitlinger , AI , 2017 predictions , predictive analytics