LOUISVILLE, KENTUCKY
ATLANTA, GEORGIA
CHICAGO, ILLINOIS
CINCINNATI, OHIO
DENVER, COLORADO
MADISON, WISCONSIN
RARITAN, NEW JERSEY
TORONTO, ONTARIO
BANGALORE, INDIA
HYDERABAD, INDIA

V-Soft's Corporate Headquarters

101 Bullitt Lane, Suite #205
Louisville, KY 40222

502.425.8425
TOLL FREE: 844.425.8425
FAX: 502.412.5869

Denver, Colorado

6400 South Fiddlers Green Circle Suite #1150
Greenwood Village, CO 80111

TOLL FREE: 844.425.8425

Chicago, Illinois

311 South Wacker Dr. Suite #1710, Chicago, IL 60606

TOLL FREE: 844.425.8425

Madison, Wisconsin

8401 Greenway Boulevard Suite #100
Middleton, WI 53562

TOLL FREE: 844.425.8425

Atlanta, Georgia

1255 Peachtree Parkway Suite #4201
Cumming, GA 30041

TOLL FREE: 844.425.8425

Cincinnati, Ohio

Spectrum Office Tower 11260
Chester Road Suite 350
Cincinnati, OH 45246

Phone: 513.771.0050

Raritan, New Jersey

216 Route 206 Suite 22 Hillsborough Raritan, NJ 08844

Phone: 513.771.0050

Toronto, Canada

1 St. Clair Ave W Suite #902, Toronto, Ontario, M4V 1K6

Phone: 416.663.0900

Hyderabad, India

Incor 9, 3rd Floor, Kavuri Hills
Madhapur, Hyderabad – 500033 India

PHONE: 040-48482789

Bangalore, India

GINSERV, CA Site No 1, HAL
3rd Stage Behind Hotel Leela Palace
Kodihalli, Bangalore - 560008 India

The Journey of V-Soft Labs’ AI Evolution

Konrad Konarski, V-Soft's AI & IoT Practice head, shared the evolution of V-Soft's AI technologies and offerings with end users and clients at the recent Big Data & AI Toronto virtual event. This process has allowed V-Soft to support businesses in evolving their own AI journeys. Check out the video above for Konrad's full presentation or catch the recap below. 

V-Soft's Chatbot Enlightenment 

According to Konrad, "User perception and authentic interaction are two key parts to a successful adoption of a chatbot, regardless of how precise it is in responding to information or how well it is implemented." This point is illustrated in the below image. While "chatbot" is in the center of the image, perception of chatbots and the use of analogous technologies sits outside of that target. For example, Computer Vision and NLP, the fundamental building blocks of a chatbot, sit within a 1-3 year limitation.

Impact Radar for Artificial Intelligence trends

What does this mean? A lot of people are implementing chatbots, but their understanding of what Natural Language Processing (NLP) is, is not there yet. Why is there a disconnect? Why is AI evolution happening and what is it accomplishing for our communities of customers?

In his presentation, Konrad touched on 2 examples of the AI evolution. 

Evolution of the VERA Chatbot

As a way to explain how a chatbot can be enhanced over time, Konrad shared a 3 year journey of VERA, V-Soft's AI-powered chatbot.

  • 2018 - Simple chatbot built on cloud services stack
    The issue with this black box solution? Customer's don't always want a cloud-based solution. Additionally, the ability to custom train models and make them more efficient is is next to impossible. 
  • 2019 - Sophisticated virtual agent, decoupled NLU and domain specific 
    The technology platform was built on an open source NLU model and was pre-trained. This allowed the NLU engine to sit on-premise or off-premise, which gave flexibility to build custom, visual dashboards, and made VERA an independent chatbot platform - beneficial for end users. 
  • 2020 - Focused on user experience, harnessing knowledge This year V-Soft focused on the core adoption-driver for chatbots - the ability to interact with a virtual agent in the same way or better than a human agent. Year 3 has lead to a more interactive and compelling chatbot, maximizing the adoption rate of this technology. 

The Evolution of Computer Vision Technology

Konrad also went into the 3 year journey of Computer Vision within V-Soft's offerings, as this technology is becoming a part of many organizations. 

  • 2018 - Custom models and data insights 
    At its basic level, Computer Vision technology consumes video footage and provides charts and analytics into the information from the footage.
  • 2019 - From platform to 3rd party integration
    As this technology evolved, there was a realization that there many vision platforms on the market. V-Soft instead built a platform that can ingrate into existing application systems. 
  • 2020 - Edge AI and value-driven 
    Much of 2020 has focused on Edge AI, with the ability to analyze Computer Vision feeds and provide actionable decision making on the spot. Some people don’t have the bandwidth to run Computer Vision feeds into a cloud, so edge-based camera systems are invaluable.

Closing the Gap on the Disconnect

While technologies within AI have progressed and evolved over time, it's important to close the gap on the disconnect of AI's perception. This disconnect occurs from top to bottom, from upper management down to IT. Stakeholders may disagree on the feasibility of implementing AI technology. Others may not consider the broader strategic efforts of AI. If we bridge this gap, the power that AI can bring to business can be truly remarkable and will continue to evolve over time. 

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Topics: Big Data, Chatbots, Natural Language Processing, Artificial Intelligence, VERA, AI, NLP, Computer vision

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