I was at a conference where an animated, heated, passionate
discussion was happening between members representing the technology players’
leadership team and some customers. It was quite obvious that there was a
difference of opinion leading to a disagreement on the subject. There were
multiple points of view which added to the liveliness of the debate. The
conference organized by an independent organization was on one of the currently
hot technologies – artificial intelligence and its manifestation in the form of
bots.
The Structure of words determine segmentation methodology
and parsing for semantic analysis, tasks that can now be done with higher
accuracy though complete sentences require additional facts and external world
knowledge. For written text in a chat session, the bot is able to hold fort
quite successfully when addressing well-defined tasks and decision trees. Many
online portals and businesses have already deployed chat bots to supplement
agents who step in when the bot is unable to parse and respond to a question.
Eliza was seen as a breakthrough, so are personal assistants
who respond to and act upon simple tasks using basic language parsing tools.
While the technology is nascent, attempts to make computers chat with humans
have been around for over half a century. Current experiments indicate that
they can be purposed for specific tasks. Excitement revolves around automated
interactions to improve efficiency and reduce cost in comparison to current
models of humans talking to customers for customer support issues.
The Natural Language Processing (NLP) journey that began
with SHRDLU has improved
significantly with Machine Learning and Deep Learning. The ability to pass the
Turing Test (the test investigates whether people can detect if they are
talking to machines or humans) is still some time away, though we are getting
closer to the milestone. Though some may claim that Eugene passed the test a
couple of years back, many do not agree with the results. Artificial
Intelligence barrier is yet to be crossed convincingly.
As bots mature and they are evolving fast, their ability to
manage specific tasks is already giving organizations the benefit of consistent
responses to basic and mundane queries; use cases around query and response of
HR systems on leave balances, tax options, and others have been successfully
deployed. Externally airlines and hospitality industry have taken the lead
while inside our homes personal assistants are making an appearance; the
biggest driver however has been the smartphone listening, responding and taking
actions.
Call
centers and IVR systems continue to drive customers crazy with long
decision trees and stupid obvious questions; wait times add to the woes of the
frustrated customer. Offshore call centers did reduce the cost but faced
backlash on other social impact it created. Bots promise to take up the
challenge and address the customer with agility and surprisingly improved
outcomes. The rich repository of information and past interactions helps the
rules engine train effectively and take decisions objectively.
As the cost of deployment continues to fall with mass
development and niche players, companies are slowly embracing this revolution. Which
brings to fore the point that will they be able to replace humans in call
centers as the bot learns and graduates to the next level of interactions ? Recent
times have seen the rise of hullabaloo about jobless growth and the
disappearance of low end jobs to be replaced by machines; as the gap to the
Turing Test reduces, the probability that they can starts staring us in the
face.
The job loss is indeed going to impact destinations that
build their business models around calls and low end business process
outsourcing (BPO). Many existing players have already started upgrading skills
as well as retrain staff for other roles; enterprises will ruthlessly choose
efficiency over distant loss of employment even if it involves initial high
investment. Are there options available to current players ? It is a race
against time for incumbents to move up the value chain or become irrelevant to
their customers.
Unless, unless they embellish their services with bots and
attack their own business before someone else does. A handful of providers with
strong technology backing from within or their parent companies are beginning
to offer value added services using bots thereby changing their customer
acquisition and retention strategies aligned to the new reality. They are using
their rich knowledge repository to train the technology solution towards
addressing existing and new problems thus opening up opportunities.
A system is as good as the people who build it; in the end
it will be humans who will continue to create the differentiator !
This comment has been removed by the author.
ReplyDelete