Artificial Intelligence, Gen AI and Machine Learning

AI, Gen AI and decision sciences can help inform your business strategy.

The Orange Development team specializes in generative AI, decision sciences, and machine learning solutions. These data science-based solutions deliver key business insights which help inform business strategy, drive product development, increase revenue-generating opportunities, and provide competitive advantage.

Generative AI solutions based on OpenAI’s GPT, and Facebook/META’s Llama projects, allow business to build:

• chatbots for product info or customer service

• task-based predictive analytics engines and AI agents, to drive process, bot and vehicle decision-making (for example, adjudicating a loan, driving autonomous vehicles, and IIoT devices in manufacturing plants/in the field)

  and

• Intelligent engines to generate new text, images and video, based on trained models (autonomously generate product metadata, ad copy and instructional videos)

Decision sciences can also inform business decision-making. DecSci is a fairly new field which involves asking important questions such as the “who, why, what, where and when?”, especially in product management and services management. These insights provide actionable improvements in product development, manufacturing, and services fulfillment, to assist with strategic direction for business decision-makers.

Within the data science space, our team specializes in:

• Generative AI, RAG and large language model (LLM) solutions

• Machine learning solutions

• MLOps for streamlining machine learning with model training and real-time data pipelines,

• Decision science solutions for product, service, and business insights

• Building internal data science capabilities for cost-effectiveness and business agility

How Can Data Science Help?

Data science activities involve analyzing large data sets to understand data correlation, and provide data insights. This typically involves statistics, mathematics, software programming, data engineering (ingesting / preparing data), as well as subject matter expertise within the business domain.

For most businesses, there are usually a few key sources of data to “mine” for insights to create business value:

• Product data (and services data), which can help make decisions regarding new product development, and measure efficacy of products, features and services

• Employee data, which can help increase operational efficiency, improve employee satisfaction and career development opportunities

• Customer data, which can help improve customer experiences (CX), and deliver quality products and services which resonate with your customers

External data sources are also important to include as inputs to the process.

The Orange Development team uses data engineering, Gen AI (LLMs/RAG), machine learning, data pipelines, batch jobs, and MLOps to provide actionable insights to your business.

We’re happy to collaborate and augment existing internal science teams, or serve as your core data science partner.

Feel free to contact us to discuss how analyzing your data can provide helpful insights, and inform your business strategy.