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Customers And Prospects Are Looking For You In The Digital Transformation – Where Are You?

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To say that today’s customer journeys are fragmented is an understatement. If you ask 10 different people how they would attempt to communicate with a company for support or transactions, you might get 10 different answers. Be it by phone, a website, webchat, or a myriad of digital channels, consumers have an almost infinite number of avenues to access information or conversations with the business and brands that pique their interest. As Gartner pointed out a few years ago: customer experience is the new battlefield for competition.

While most companies have a robust digital presence, there is a digital transformation afoot. Beyond manning a Facebook page or Twitter account, newer and more sophisticated digital channels are emerging. Digital transformation requires adapting and dedicating resources to these newer channels, such as Facebook Messenger, Apple Business Chat, RCS, native apps, WhatsApp, IVR and many more.

That said, simply setting up these channels doesn’t mean you can declare success and your digital transformation complete. A customer’s journey through all of these channels must be constant and continuous. What does this mean, exactly?

Take for example you are chatting with brand on Twitter or their own webchat for support. It escalates to the point where you need to speak on the phone. When you call into support, you are hoping the new conversation starts of with all the information you previously entered through another channel. To put it even more succinctly, you are not looking to start a new conversation, but rather to continue the one you previously had. This requires front-end and back office integrations with these digital channels to ensure a consistent experience across all digital consumer touchpoints.

It’s what customers want

And this is gravely important to customers. According to research from Cisco and BT, customers want simple journeys: 56 percent claim convenience is more important to them than price. This is evident in other consumer businesses that have successfully navigated the digital transformation. Uber, Lyft, Spotify, Netflix; consumers are willing to upend tradition models in the spaces where these companies exist. They deem it more convenient than the previous alternative.

Based on these successes, digital customers have positive expectations when it comes to embracing digital transformation themselves. From the above research: 56 percent believe they’ll receiver a quicker response with webchat rather than other methods like email or phone support; 80 percent are ready to use chatbots for quick transactions, 38 percent think social media is the best way to make contact for urgent issues; and most importantly for everything discussed so far, 81 percent of those asked want companies to offer support on different digital channels to meet their needs. Many want to be empowered to serve themselves, on their own time, where they find it most convenient.

Artificial intelligence and machine learning play a part as well; 78 percent of consumers value proactive service and like it when company notices their online inquiry and reaches out directly to help. AI tools can efficiently help identify customer pain points that need escalation.

Leaders are stepping up

Canadian telecommunications company Shaw have recently taken the steps to go all in on their digital transformation. There are immediate pain points not only from a technology standpoint, but also the perception in the public eye:

“Two years from now, people will not say that we were being too bold to embrace the new model. As we talk to both Canadians and our team about it, people understand that digital and self-serve is the way of the future,” Shaw president Jay Mehr told the Canadian Press. “And it’s how Canadians actually want to be served.”

And Shaw isn’t the only company going all in on digital transformation. Large telecommunication companies like C Spire and Digicel and transitioning their support and communications to similar omnichannel models.

Craig Jackson, vice president of Customer Operations for C Spire said AI-based digital care is one of the pillars for a solid, 21st century customer care platform. “[This transformation] will help us efficiently satisfy and answer more customer inquiries, and let them control how and when they choose to contact and interact with us, making it effortless for our customers. We’re looking forward to expanding the partnership and improving our customers’ experience even more.”

AI paves an easier way

Large scale transformation – like the one we see before us – is rarely easy. One way to alleviate some of the pain points is an approach like Wysdom’s. Our cognitive exchange allows a business to implement a solution on day one. With 230,000 utterances and 5,000 intents understood, spanning a several industries – from telecom, to insurance, to finance – an enterprise business can use automated digital care immediately.

Meanwhile, our AI tools and training team ingests and understands all your support assets and chat logs to ensure it can pull the most recent and accurate data to serve your customers needs. The solution works immediately, while constantly learning from interactions through all your digital channels.

A quick start in this space is crucial. The above consumer trends show where expectations lay for service and support. Enterprise business may balk at the effort required to transform their channels and adapt to changing consumer taste, but they must face the fact that 89 percent of them prefer channels like messaging apps to communicate, and is one of the few ways to remain sticky with a distracted millennial audience (77 percent let messaging messaging apps send them notifications).

My advice is to start your transformation today, if you haven’t already – chances are your competitors already have.

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Data Scientist

As a Data Scientist, your day-to-day will involve writing queries, building dashboards, and preparing analytical reports about product performance for our clients and the Wysdom.AI team.  You will work with SQL, Tableau, and Python and ML Frameworks/libraries (among other tools) to create stunning visuals showing how Wysdom.AI is making their customers’ experience even better.

Implementation Engineer

As an Implementation Engineer you will be responsible for the solution integration of an enterprise grade conversational AI experience from a technical perspective. You will work closely with the lead solutions architect and be the technical face of the implementation team and lead the customer through the entire implementation cycle. You will work with one of the most diverse teams of linguists, data scientists, and innovators to deliver the best AI enabled customer experience.

Solution Architect

As a Solutions Architect within the Client Services team, you act as trusted advisor, responsible for the technical requirements and end to end solutions integration of Wysdom cognitive services within the client’s environment.  You will work with one of the most diverse teams of linguists, data scientists, and innovators to deliver the best AI enabled customer experience.

Cognitive Data Specialist

As a Cognitive Data Specialist, you will be responsible for the performance of the AI and quality of the corpus and will focus primarily on the VA training.  You will work with the client as required to ensure corpus is performing in an optimal manner.

Conversational Experience Designer

As a Conversational Experience Designer, you will be responsible for the designs of the overall customer experience, including the end-to-end dialog flows & journeys of the solution ensuring  design leverages  UxD best practices for optimal customer experience.

Conversational AI Specialist

As a Conversational AI Optimization Specialist, your responsibility will be to help drive the success of our solution for our clients. This involves building conversation flows, performing AI training, and partnering with clients to enhance their deployments.

Conversational AI Lead

As a Conversational AI Lead, you will be responsible for leading all Conversational AI program activities.  You will work with all team members to ensure deliverables are completed on time, with high quality and exceeds client expectations and goals.

Program Director

Responsible for the overall success for the client, including the end-to-end delivery and optimization of the solution, you will manage the sales process from pillar to post, including technical and commercial proposals, pipeline management, sales forecasting, and contractual documentation.

David Trotter, Wysdom

David Trotter

SVP, Sales & Marketing

David has 30 years of global sales leadership experience as a collaborative leader who believes in a strong team concept within sales and marketing organizations. David has spent many years working with growth companies and enjoys being face to face with customers and partners to create solutions that have a lasting effect on the customer’s business environment. 


Prior to joining Wysdom, David was the Vice President, Sales at Scalepad, and previously spent 11 years as Vice President for Latin America and Asia Pacific for Absolute Software. He also held senior sales management positions at GE Capital and Clevest.  

Michel Benitah

VP, Optimization & Delivery

Michel has 20 years of experience in leading the successful delivery of Conversational AI and Natural Language Customer Care solutions to some of the largest financial, telco, healthcare, utilities, and retail enterprises throughout North America. 

 

Prior to joining Wysdom, Michel spent 20 years at Nuance Communications, holding senior management and leadership positions within the enterprise division, most recently as director of the Toronto office and professional services team.

Frederic Lam

SVP, Sales

Fred brings in 25 years of international experience in sales and business development across North America, the Caribbean, Asia-Pacific, Europe, and the Middle-East.

 

Prior to Wysdom.AI, he held sales leadership positions at Oracle, Redknee, and Movius/Glenayre, successfully growing revenues in both large and small organizations. Fred has also been involved in the start-up community in the earlier stages of his career as an Investment Manager with SP Capital and was an alternate director on a few investee companies.

Karen Chan

Chief Engineering Officer, Co-Founder

With 20 years of experience in software and mobile, Karen has held senior technical roles at 5 startups, including Wysdom.AI, Clickfree, Mobile Diagnostix (HP), Teamatic, and Virtualthere.

Karthik Balakrishnan

Chief Technology Officer

Karthik has over a decade of hands-on, proven global expertise in emerging technologies and implementing intricate platforms and solutions for telecommunications and enterprise during his time at Amdocs, with senior positions in their India, Cyprus, America, and Canada offices.

Nitin Singhal

Chief Operating Officer

Nitin has over 20 years of success in global executions of business technology, driving operational efficiency and digital scalability for some of the world’s largest enterprise clients. 

 

Nitin spent 16 years at Redknee holding executive positions in Research and Development, Customer Operations, Partner Alliances, and most recently as COO.

Jeff Brunet​

President, Co-Founder

Jeff has more than 20 years of experience in the startup world, founding and growing 4 software companies: AracNet, Mobile Diagnostix (HP), ClickFree, and Wysdom.AI. 

 

His in-depth understanding of software development and the challenges in making new technologies successful in the startup world prove invaluable as he serves on the boards of XMG, SurfEasy (Opera), Locationary (Apple), Groupie, and as an advisor to Pushlife (Google), LogMeIn (IPO) and HP. 

 

Jeff holds 23 issued patents in the wireless and consumer electronics spaces and is the lead inventor on 30+ pending patents.

Ian Collins​

CEO, Co-Founder

Ian has founded and grown 6 technology companies over the past 20 years, primarily in the enterprise software space including Wyrex, Mobile Diagnostix (HP), Clickfree, and most recently Wysdom.AI. 

 

Ian invests, mentors, and sits on the boards of several startups in the Toronto area.