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Machine Learning & AI Consulting Services

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While AI is revolutionizing the way we do business, its use is still limited. That’s why you need data scientists with deep knowledge to ensure your data is ready for AI and that MLOps (machine learning operations) are managed correctly. Understanding the need for AI consultants and data expertise and the lack of internal competency, outsourcing has become a preferred method for data operations. Working with GAP for MLOps gives you access to a larger pool of talent while also reducing costs.

GAP data experts work to build robust data pipelines, design AI/ML algorithms and generate systems that give your products and business an advantage over competitors. Harness the full potential of machine learning and artificial intelligence.

 

  • Improve quality of AI / ML insights
  • Lower the lifetime cost of AI / ML programs
  • Simplify data pipeline orchestration

Beyond the Buzz: Operationalizing AI With GAP

Artificial Intelligence (AI) is reshaping the business landscape, and GAP is here to help sift through the noise. Based on our own experience internally — and through helping our clients — we are committed to delivering robust and contextual solutions designed with precision and foresight.

This white paper addresses the hesitation many executives feel amidst the AI craze, highlighting the opportunities AI presents and the complexities to consider. While it’s too early to adopt AI across all your operations, it’s also too late to not use any. Let’s investigate the transformative potential of machine learning & AI while being honest about the tricky parts.

The Challenge of Machine Learning & AI Implementation

Machine learning projects, whether centered on structured or unstructured data, pose multifaceted challenges.

The Challenge of Machine Learning Implementation

Accelerate Your AI Journey Download the FREE GAP AI Starter Kit

The Next Wave of Innovation Begins Now

GAP’s machine learning and AI engineers leverage a spectrum of cloud services, frameworks and other products to drive successful projects. From cloud providers like AWS, Azure and Google Cloud for scalable infrastructure and data storage, to specialized AI tools — such as H2O.ai and the array of model deployment services in Databricks and Snowflake — the breadth of our technological arsenal empowers you to unlock the full potential of data to obtain innovative solutions and actionable insights.

The Next Wave of Innovation Begins Now
  • Supervised Learning Model Development. Achieve predictive excellence with our expertise in supervised learning. GAP experts will guide you in developing accurate models for applications, like customer churn prediction, fraud detection and demand forecasting, ensuring you make data-driven decisions with confidence.
  • Unsupervised Learning and Clustering. Unleash the potential of your data's hidden patterns and structures. We are fully equipped tol help you explore, segment and understand your data, allowing you to make discoveries and optimizations that would otherwise remain hidden.
  • Unstructured Data Analysis and Natural Language Processing (NLP). Harness the power of unstructured data with our NLP expertise. We'll help you extract meaning from text, perform sentiment analysis, and uncover valuable insights hidden within textual data, revolutionizing your understanding of customer feedback, market trends and more.
  • Large Language Models (LLMs) and Generative AI. GAP helps you be part of the future of language and content generation. Create natural language text, automate content creation, and enhance your customer interactions using the latest advances in artificial intelligence.

 

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TALK TO GAP EXPERTS AND ENGINEERS TODAY.

We specialize in custom software development and create data solutions to accelerate your digital transformation journey. GAP also consults on technology solutions to drive business outcomes, and helps technology teams scale faster when they lack the resources or expertise. If you’re ready to dive in, let’s make innovation your competitive advantage.