Virtual chat bots
These efforts come as many businesses and users were left unenthused with overhyped chatbots on the market.Users were largely disappointed with the bots’ inability to understand many simple demands, and businesses couldn’t find a specific use case.Researchers also gain “seamless” access to Amazon’s Mechanical Turk, a marketplace for hiring workers to complete odd jobs, meaning developers have easy access to humans who can test their chatbots.Facebook likely hopes Parl AI will spur development for more conversational, personalized chatbots and virtual assistants.The introduction of Amazon Echo and Google Home is helping the Chatbot crossover into the mainstream, heralding a new era for the technology.However, while they have grand ambitions of offering 360-degree personal assistant support to consumers, the current limits of the technology mean they still fall short of being able to complete more complex tasks.Facebook is taking a step toward more conversational AI with Parl AI (par-lay), its open-source research platform for chatbot developers.The platform, unveiled Tuesday, is being promoted as the “one-stop shop for dialog research,” giving developers access to each other’s research and training simulations.
Investors looking to benefit from this in 2017 need to know which businesses will make the best use of AI and the vast amounts of data needed to drive the technology, according to Beijia Ma, equity strategist at Bof A Merrill Lynch.
Primarily the Googles, Amazons, Microsofts and IBMs of the world who are very strong at that, but I think increasingly so we're going to be focusing on the holders of data which essentially is the feed stock that goes into things like artificial intelligence." Soon, investors will be assessing companies and sectors based on how well they can collect data and how they can use this data for their core business, according to Ma.
Daniel Hegarty, CEO and founder of digital mortgage broker habito, says AI in the form of chatbots (a program which consumers engage with through messaging services) will become mainstream next year.
That said, despite the weaknesses of this disruptive technology in its current form, it is still possible to garner commercial value from chatbots.
The data processing power of Artificial Intelligence and machine learning is formidable – but applying this to too many things at once makes it difficult to be effective.