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What’s more important? Your training data? Or your model?

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A commonly used phrase in the domains of data science and artificial intelligence is “garbage in, garbage out”. While the phrase may seem harsh at first glance, it stresses the importance of avoiding substandard data to steer clear of erroneous predictions and insights. An often under-appreciated point of the phrase is that training data is of equal, if not higher, importance than your AI model. This is because data has the potential to be a bottleneck in the improvement of your user experience. With good data, any improvement of your AI model would yield an overall user experience upgrade. However, with bad data, no matter how much you improve your AI model the overall quality will not go up. 

While any carefully curated dataset won’t fall to the “garbage” level the phrase refers to, it does not mean that all curated datasets are optimized. Unfortunately, it is becoming increasingly common that developers and executives pay far more attention to the adoption of newer AI technology than the optimization of their training data. We often see advances in the field attributed to the invention of increasingly robust AI models, with the seemingly mundane work in data collection and optimization being ignored. These sophisticated new AI algorithms are most certainly exciting innovations, but it is important to recognize that they would not be as successful without the growing body of high-quality data fed to them. 

When your goal is to build a high-quality virtual agent for your business, high-quality data should be one of your top priorities. Business-oriented virtual agents differ from the general NLP tools mentioned in the previous paragraph. Your virtual agent needs to have extensive knowledge of your business domain, and focus less on other irrelevant areas. This is called a “closed-domain model”.

The implications of implementing a closed-domain model are that you will likely need to spend significant resources creating, labeling, and fine-tuning every sentence in every conversation, in hopes that your virtual agent can successfully handle as many use-cases as possible. While it is common to wonder if such tasks can be bought from existing cloud platforms, a cursory review of their services reveals that they are wonderful tools in all areas but one: domain-specific data. 

The good news is, we can help. At Wysdom we have years of experience optimizing virtual agents and bots. Our work has proven success in numerous industries: telecom, financial services, insurance, automotive, retail, consumer packaged goods, travel and hospitality, and utilities. This gives us the much-needed domain-specific expertise required to optimize a virtual agent that maximizes the user experience in your field. If you are already using an existing virtual agent platform, our tools are compatible with most platforms on the market, deployed on either your website or social media. We provide the key ingredient that optimizes the quality of virtual agent-handled conversations and minimizes the need for live agents to waste time on simple tasks, leaving them to focus on complicated queries and client requirements. 

If you want to know how our data library can help your company reach its user experience potential, contact us today.

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.

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.

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.

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.

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.

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.

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.

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.

Artiom Kreimer

VP, Product & Analytics

Artiom has spent 10 years in software and mobile engineering, specializing in quality assurance and customer service. He has worked in testing and QA at both startups and in enterprises such as Clickfree, TELUS, and Freescale Semiconductor.

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.

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.

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.

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 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.

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.

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.