Successful Conversational AI: Blending Machine Learning & Human Intelligence, Part 2
By Chris Ezekiel, Founder & CEO
In February ISG, a leading global technology research and advisory firm, published their ‘ISG Provider Lens™ Intelligent Automation – Solutions & Services’ report. The report evaluates 19 conversational AI vendors against a set of market-driven criteria and places Creative Virtual firmly in the Leader category within the quadrant.
Recently I joined Mrinal Rai, Principal Analyst at ISG, and Jan Erik Aase, Partner and Global Head – ISG Provider Lens, for a discussion on conversational AI over Zoom. In my last post I shared Part 1 of our nearly half hour chat. During the first part of the discussion, Mrinal shared why ISG identified Creative Virtual as an industry leader in their report. Jan Erik and I also discussed current conversational AI trends as well as the evolving role of contact centre agents. You can watch Part 1 here.
In Part 2 of our discussion (scroll down to watch the video), Jan Erik and I address two more questions:
- What are the biggest barriers organisations face when it comes to building, deploying, and maintaining successful projects?
- What impact has the pandemic had on the implementation and usage of conversational AI tools?
One key barrier to success that we explore is not having a team with the right skills and experience. Often organisations try to tackle conversational AI projects internally with a lack of knowledge and a toolset that doesn’t enable them to scale the solution to different channels, additional departments, etc. or support enough users simultaneously as the project expands. This sets the whole project up for failure. When it comes to conversational AI, knowing what doesn’t work is just as important as knowing what does.
Jan Erik and I also touch on issues some projects face when integration points and APIs aren’t readily available or accessible. Creating a personalised, omnichannel support experience really needs the conversational AI tool to be properly integrated with other systems. The contact centre not being a part of the organisation’s digital strategy is another common barrier we encounter. This is starting to change, but until company structures are more joined up in this regard, we’ll continue to see this as a widespread challenge.
The need to have the contact centre as part of the digital strategy was highlighted over the past year by the pandemic. We saw record traffic to our virtual agents and chatbots in 2020 as customers turned to online self-service for quick answers to their questions. For many of the organisations we work with, having a well-established conversational AI solution was a lifesaver as their contact centres dealt with an overwhelming volume of calls at the same time as new public health measures designed to keep agents safe.
Having a human-in-the-loop combined with machine learning gave our customers the ability to change responses within their virtual agent quickly, safely, and securely so they could deliver reliable, up-to-date information. In fact, one of our customers found that updating their virtual agent was quicker and easier than updating content on their website. Their contact centre recognised that the virtual agent was helping to reduce call volumes and proactively provided feedback and new content to add based on incoming calls from customers.
Check out Part 2 of our ‘Successful Conversational AI: Blending Machine Learning & Human Intelligence’ discussion:
My next post will take a look at Part 3 of our session where we discuss setting goals and identifying KPIs for conversational AI projects. In the meantime, be sure to download your copy of the ISG Provider Lens™ – Conversational AI Quadrant Report.