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Glass Buildings

Business Artificial Intelligence

The first step for successful development of AI solutions is a robust strategy. Developing an AI strategy requires a deep level of technical knowledge and industry expertise, understanding of the modern tools, ML libraries and data necessary to build a solutions or products.

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New digital technologies are changing how companies work. A right technology system or cutting-edge tools helps businesses to be faster, better, smarter. Today, new AI technologies have revolutionized how people connect, communicate, and spend, and is important perspective for different business models and lowering cost structures.​

AI Strategy & Development
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We engage to define a scoping study program where we look at all aspects of the AI solutions to ensure based on available data and process, what are the best fit solutions to define the final product to seamlessly incorporated into the required business operations.

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Data, Technology & Process

To Understand the business process and assess available data relevant to the business problem.

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Systems & Infrastructure

Data Center, Cloud computing existing processes and systems. Evaluate infrastructure requirements for new AI solutions based on current provisions, vendor and data privacy and deployments.

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AI/ML Solutions

Identify relevant solution domain(s). Evaluate Open-Source models vs Custom development strategies

 
Data & Technology Assessments
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We undertake detailed technology Due Diligence exercises to cover a variety of areas, including assessments of code quality, project management, people and roles, architecture, data compliance and security, to ensure that the correct data points are always highlighted, based on what suits the needs and the details, required for our clients.

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Our data and technology assessments cover these areas​

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  • Current IT systems Architecture Overview, including AI and automation systems

  • Products installed, licenses purchased, Business Workflow models

  • Current Data, Security compliances followed within the organization

  • Vendor management, cloud licenses, network infrastructure

  • People Skills, Roles and Responsibilities

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​​AI/ML Systems​
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We work with variety of AI systems including AWS Bedrock, ChatGPT, Claude3, LLama, HuggingFace Playgrounds and other new Generative AI tools and solutions. Vendor specific tools and services are also evaluated to define and deliver the latest and best fit AI models for productivity gains and automation solutions.

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We work with several industry standard AI tools and Large Language models (LLMs)​​

  • Design and plan for Predictive Analytic models, data prediction based on past collected data

  • LLM selections for generative AI output and integration for business productivity gains

  • Generative AI solutions for Business process improvement, marketing and sales solutions

  • ChatBots, Digitial assistants, OCR/Text extractions

  • Automation Solutions

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