According to McKinsey's State Of Machine Learning And AI,
"Tech giants including Baidu and Google spent between $20B to $30B on AI in 2016, with 90% of this spend on R&D and deployment, and 10% on AI acquisitions."
The biggest impact will be seen in new approaches in Natural Language Processing (NLP), which will provide the ability to use conversational interfaces to interact with AI tools instead of typing in commands. Beyond NLP, chatbots are learning humans’ emotions. In these cases, companies are analyzing tweets to find the dependencies between words and emoticons. This helps enhance bot-human relationships.
20% of enterprise will deploy AI to make decisions and provide real-time instructions.
Insight-as-a-service might become a real business in 2018, since up to 80% of firms will rely on insights from outsourced or open providers of data intelligence.
Rails Reactor is happy to help discover opportunities for your business
using AI & ML technology. Here’re some examples...
Will your business stay on track with technology?
Regardless of technique, if you have a business challenge
where you think a "smarter machine" might be able to help,