Generative AI Services
Unlock the full potential of Generative AI with phData
What phData Delivers
Putting AI into Production
Generative AI is transforming the way enterprises create and process unstructured data, including text, code, images, audio, and video. The rise of Large Language Models (LLMs) like Arctic, Llama 3, and ChatGPT is creating new ways for enterprises to interact with AI applications through natural language (chat) interfaces.
phData brings industry-leading expertise to help you build and deploy your next-generation AI applications.
AI & Data Strategy
AI readiness starts with sound data strategy. phData can ensure your organization is ready to make the most of your data and help create a roadmap for a successful AI adoption within 4-8 weeks.
Build and operate your AI platform
phData’s ML Engineers can help design, build, and manage your AI & MLOps platform on top of Snowflake and the Modern Data Stack.
Develop AI applications
Our teams of data scientists, ML engineers, data engineers, and analytics consultants have the breadth of experience necessary to advance AI initiatives at any point on the AI readiness journey.
Art of the Possible
What Can You Accomplish With Generative AI?
Personalization and Content Generation
Generative AI capabilities automate or streamline content authorship and tailor messaging for individuals or curated audiences. When used in this capacity, we’ve seen AI increase operational efficiency and create better experiences for customers.
Document Language Processing
LLMs excel at extracting insights from unstructured data. We’ve worked with our clients to build intelligent processing pipelines for documents, automating manual tasks, and yielding substantial operational savings.
Accelerate Business Processes
LLMs are incredibly powerful at making decisions based on historical patterns and other relevant data. We work with clients to create applications that accelerate business processes by automating mundane data retrieval or reporting tasks, allowing users to focus on high-value tasks and increasing productivity.
Intelligent Assistants
Context-aware chatbots are revolutionizing the way organizations support their teams and disseminate information. We’ve built chatbot solutions to support many business functions, such as IT support, HR policies, and procurement processes.
Workflow Automation
Generative AI is extremely powerful for automating time-consuming workflows. We’ve successfully applied AI to automate document processing, data entry, demand planning, and more.
Want to learn more about Generative AI?
We've got you covered!
Taking the First Steps Toward Enterprise AI
How to Implement a Successful AI Strategy for Your Company
How to Talk to Your Data with ChatGPT, Snowflake, & dbt
Got Generative AI questions?
We've got answers!
Generative AI applications and architectures vary greatly, but the common thread across all is the ability to generate unstructured output based on learned examples of past behavior. Generative AI algorithms are trained to calculate new outputs from previously unseen input, with applications in text, images, audio, or other unstructured data. Successful initiatives depend on well-curated datasets for model training, tuning, or validation.
For more information, check out our blog post on building a foundation for Enterprise AI.
Right out of the box, Generative AI can be unwieldy and lead to undesired results, such as hallucinations and bad behavior (e.g., hate speech). But with the proper tuning, context, and guardrails, Generative AI can be harnessed to deliver powerful outcomes. The key is to design systems for observability and evaluations built-in to provide checks and balances on AI performance and behavior.
Perhaps the best phrasing is, “What could AI be worth to your business?” but with technologies like ChatGPT that cost eye-watering hundred-million-dollar amounts, it is a fair concern. Our AI strategy is to start simple, motivate complexity, and prove value at every stage. Our initial strategy services are a great launch pad for every organization, costing just $30-75k. Initial development projects usually run in the range of $80-450k.
Success Story
Customer's Challenge
Large fast food restaurant needed a conversational natural-language interface to service the IT needs across its network of 2,600 restaurants nationwide
phData's Solution
phData built an LLM-based chat interface by hosting open-source language models on cloud infrastructure. Retrieval-augmented Generation (RAG) was used to prevent hallucination and tailor chat responses based on enterprise-specific knowledge from IT support documentation.
Results
- Deployed multiple open-source LLMs behind a common interface for comparison and evaluation
- Leveraged RAG to improve LLM responses based on enterprise IT knowledge base
Take the next step
with phData.
Kickoff your AI journey by attending our complimentary Generative AI Workshop
