AI and Machine Learning
QuadraByte offers a unique perspective on AI and machine learning as the leaders in the Intelligence Economy. Our team develops AI-driven services that enable your company to take full advantage of your organization’s data through automation, machine learning, deep learning, natural language processing (NLP), and neural networks.
AI Solution Development
QuadraByte data scientists leverage leading-edge programming languages for the development of AI-driven solutions.
Python has been a popular programming language for many years, including facilitating data quality and cleansing, and has rapidly evolved to be a major player in the AI space.
Developed specifically for data science, R is a newer language that has received major adoption for statistical and data analysis.
In addition, languages such as Java, Prolog, C++, and Lisp are starting to evolve their offerings to target this emerging technological space. With the numerous advancements in this field, businesses now have many options to select a technology that fits in their current tech-stack.
Specialized Programming
Snowflake for AI
Snowflake’s latest feature solution, Snowpark, let’s developers leverage serverless deployment and virtual warehouses to expand Snowflake beyond SQL. The Snowpark library provides an intuitive API for querying and processing data in a data pipeline. This allows you to build applications that process data in Snowflake without moving data to the system where your application code runs.
AI/ML For Business
Augment Human Capital
Organizations can leverage AI and machine learning to automate repetitive tasks, data mapping, and other tasks to help augment human labor and increase confidence in the work performed.
Increase Profits
Investment in an AI strategy can give you strategic decision-making recommendations, such as lead or opportunity scoring, to an increase in profits. For existing customers, your team can leverage AI to identify at-risk accounts and reduce churn.
Real-Time Decisions
Artificial intelligence helps your team drive real-time decision-making by evaluating data and providing recommendations to team members on that data, or taking direct action on that data, to ensure you always make the right move.
Conversational AI By Vonage
QuadraByte is a preferred partner of Vonage and the Vonage AI Studio for Conversational AI.
The Vonage NLU engine is uniquely built on understanding the complexities of the everyday customer and agent voice calls. Conversation data within your CRM provides the context and insights you need to improve performance, ensure compliance, find best practices, and improve customer satisfaction.
Vonage AI Studio is a low-code conversation design tool that operates in natural language and empowers developers and non-developers. The visual builder facilitates the code-free creation of smart, automated design flows across messaging and voice channels for chatbots and voice assistants. You can quickly create simple conversations for your customer contact center using drag-and-drop triggers and reply actions.
With Vonage AI, your team doesn’t have to worry about switching contact center solution providers. Vonage lets you augment your existing contact center with Vonage APIs, adding omnichannel capabilities like video, voice, messaging, and social media.
Serve customers through the channels they prefer: Test, social chat, WhatsApp, Video, and browser-based in-app Voice.
AI Virtual Assistant by Vonage uses conversational AI for voice-enabled customer self-service, adds intelligence to any conversation, and makes CX your competitive advantage.
This lets you free employees from repetitive tasks to focus on their core competencies, analyze customer sentiment and feedback at scale, and elevate digital marketing strategies within your organization.
Frequently Asked Questions
While AI is the broad science of replicating human capabilities, machine learning is a specific subset of AI that allows you to train a machine on how to learn. As a whole, AI includes the subfield of ML to automate analytical model building.
Machine Learning uses neural networks, statistics, operations research and physics to surface valuable insights to your organization without first requiring explicit programming.
Traditionally, computers have needed a programmer to teach them how to respond to specific actions with the use of algorithms or historical data. AI allows data scientists to create propensity models to start making predictions and removes the need for continual development by engineers.
AI is capable of leveraging structured, semi-structured, and unstructured data. Artificial intelligence lets you automate data ingestion, data mapping, exploration, visualization, or process complex data within milliseconds.