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Successful Conversational AI: Blending Machine Learning & Human Intelligence, Part 3

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. Mrinal Rai, Principal Analyst at ISG, and his team evaluated 19 conversational AI vendors in the report, identifying Creative Virtual as a Leader in the highly competitive quadrant.

I joined Mrinal and Jan Erik Aase, Partner and Global Head – ISG Provider Lens, recently on a Zoom session for a discussion about conversational AI. Mrinal kicked things off by diving into the conversational AI quadrant and his research. He outlined the key factors that led to Creative Virtual emerging as a clear Leader in his evaluation.

Jan Erik and I then discussed a number of conversational AI questions that ISG see coming up with their advisors as well as their clients. In my previous posts, I’ve shared the first two parts of that conversation during which we covered current trends and developments, the changing roles of contact centre agents, barriers to achieving success, and the impact of the pandemic. You can watch Part 1 here and watch Part 2 here.

In the third, and final part of our conversation, we delved into the following question: When setting project goals, what KPIs should organisations identify and what results should they expect?

This is a really important question for organisations as they build their business case for a conversational AI solution. About five years ago, there was a big focus on contact deflection when implementing these tools. While this is still important, we find it to be less important as the focus has shifted more to improving the customer experience (CX). Organisations recognise CX as an important differentiator today in competitive marketplaces.

This same sort of thinking also applies to internal solutions, whether that be a solution deployed within the contact centre or one designed for employee support in areas such as service desk, IT support, HR support, and employee onboarding. Supporting employees is more important than ever and, with the right tools in place, presents an opportunity to improve productivity, efficiency, and job satisfaction.

Check out Part 3 of our ‘Successful Conversational AI: Blending Machine Learning & Human Intelligence’ discussion for more on KPIs and results:

 

 

A big thank you to Mrinal and Jan Erik for taking the time for this discussion, as well as to Katie Dickens and Thomas Victor at ISG for working behind the scenes on arranging and producing the recordings of our session!

If you haven’t done so yet, be sure to download a copy of the ISG Provider Lens™ – Conversational AI Quadrant Report.

If you’d like to learn more about Creative Virtual’s expert consultation and see our conversational AI technology in action, sign up here for a personalised demo session with a member of our global team.

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.

Successful Conversational AI: Blending Machine Learning & Human Intelligence, Part 1

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. In the report Mrinal Rai, Principal Analyst at ISG, evaluated 19 conversational AI vendors based on a set of market-driven criteria. The result of that evaluation placed Creative Virtual as the clear Leader in conversational AI, surpassing all other vendors with our competitive strengths.

Recently Mrinal and I (virtually!) sat down with Jan Erik Aase, Partner and Global Head – ISG Provider Lens, for a discussion on conversational AI. Our conversation covered a lot of ground, including current industry trends, the impact of the pandemic, and setting conversational AI project goals. We talked about the findings of ISG’s research as well as current successful conversational AI implementations.

We have divided our nearly 30-minute-long discussion into three parts, the first of which I’m excited to share with you in this post (scroll to the bottom to watch Part 1).

Jan Erik and Mrinal start off the discussion by diving into the ISG Provider Lens™ Quadrant Report and why Creative Virtual has been identified as a Leader. Mrinal points out that when it comes to conversational AI, it’s not just about the solutions themselves but also how they blend with human intelligence. His evaluation focused on both V-Person™ (our virtual agent, chatbot, and live chat technology) and V-Portal™ (our innovative orchestration platform). The power of our technology to blend machine learning and human intelligence along with our strong presence in the market were the key factors that led to ISG positioning Creative Virtual as a Leader in the space.

I then joined the conversation to discuss with Jan Erik some questions that ISG see coming up with their advisors as well as their clients. In Part 1 of the discussion, we explore:

  • What current trends and developments in conversational AI are important when evaluating virtual agent and chatbot management platforms?
  • With conversational AI now being a key part of omnichannel support strategies, how are the roles and responsibilities of contact centre agents and customer service professionals evolving?

Check out Part 1 of our ‘Successful Conversational AI: Blending Machine Learning & Human Intelligence’ discussion:

 

 

My next post will take a look at Part 2 of our session where we explore some of the biggest barriers organisations face when it comes to building, deploying, and maintaining successful conversational AI projects. In the meantime, be sure to download your copy of the ISG Provider Lens™ – Conversational AI Quadrant Report.