Data & AI

UNLOCK THE TRANSFORMATIVE POWER OF CLOUD-NATIVE AI AND DATA PLATFORMS TO DRIVE INTELLIGENT DECISIONS, AUTOMATE OPERATIONS, AND CREATE EXCEPTIONAL EXPERIENCES

Large Language Models & Generative AI Platforms

The advent of Large Language Models (LLMs) has revolutionized how organizations interact with data and automate tasks. Leading cloud providers offer enterprise-grade access to these powerful models:

Amazon Bedrock (AWS)

Amazon Bedrock is a fully managed service for building and scaling generative AI applications using foundation models from providers like Anthropic, AI21 Labs, and Stability AI. It includes Claude 3 Opus, Anthropic’s most advanced model, known for strong performance in complex tasks.

Vertex AI (Google Cloud)

Vertex AI is Google Cloud’s unified AI platform with access to models like Gemini for Google Workspace. It supports MLOps, AutoML, and custom training pipelines to build, deploy, and scale LLMs. It also includes tools for tracking, monitoring, and optimizing models across the full ML lifecycle.

Azure OpenAI and Machine Learning

Microsoft Azure provides enterprise-grade LLM access through Azure OpenAI, including models like GPT-4. Combined with Azure Machine Learning, it offers a complete MLOps framework for building, deploying, and managing models.

Intelligent Document Processing & Vision AI

Cloud-native AI services offer powerful tools to extract insights from images, forms, and documents, automating manual tasks.

AWS Rekognition & Textract

Rekognition: Provides image and video analysis, enabling facial recognition, object detection, and content moderation.

Textract: Extracts structured data from scanned documents, forms, and tables, reducing reliance on manual data entry with high accuracy and security. It uses machine learning to understand the context of documents, such as invoices and identity documents, and returns confidence scores for extracted data.

Azure AI Document Intelligence & Cognitive Services

Azure Document Intelligence: Automates data extraction from forms, receipts, and PDFs, integrating easily with business workflows.
Azure Computer Vision: Enables optical character recognition (OCR), image classification, and spatial analysis using pre-trained models that scale across industries.

Data Visualization & Business Intelligence

Transform raw data into actionable insights with real-time dashboards, visual analytics, and embedded intelligence:

Looker (Google Cloud)

Looker offers modern, embedded BI with real-time access to BigQuery and other databases. It supports data modeling through LookML, empowering teams to build reusable metrics and consistent reporting across the business. Looker’s cloud-native architecture allows it to scale seamlessly with large datasets, making it ideal for enterprise-level organizations.

Power BI (Microsoft)

Power BI brings self-service analytics to the enterprise with tight integration into Microsoft 365 and Azure Synapse. It provides rich visualizations, AI-powered insights, and easy connectivity to diverse data sources, making data-driven decisions more accessible than ever. Power BI’s user-friendly interface and lower learning curve make it accessible for users without a background in data modeling.

Productivity AI Assistants: Copilot & Gemini

Beyond developer and data science tools, enterprise productivity is being transformed by AI embedded into everyday applications.

Microsoft 365 Copilot

Microsoft 365 Copilot brings AI-powered assistance into apps like Microsoft Word, Microsoft Excel, Microsoft Outlook, Microsoft Teams, and Microsoft PowerPoint.
It helps teams draft content, summarize meetings, analyze data, and manage tasks — all within a secure Microsoft cloud environment.

Gemini in Google Workspace

Gemini for Google Workspace brings AI-powered assistance into tools like Gmail, Google Docs, Google Sheets, and Google Slides.
It helps teams draft emails, generate content, summarize documents, create presentations, and analyze data — all within a secure Google cloud environment.