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What is Lemma?

Create and execute event-driven, distributed workflows that seamlessly connect AI models, APIs, databases, ETL systems, and applications within a unified platform. This strategy enables businesses to realize value more swiftly while considerably minimizing operational burdens and the complexities associated with infrastructure management. By focusing on unique logic investments and hastening feature rollouts, development teams can circumvent the setbacks often caused by platform and architectural decisions that impede progress. Revolutionize emergency response efforts through functionalities such as instantaneous transcription and the detection of critical keywords and phrases, all while maintaining smooth interactions with external systems. Enhance maintenance operations by linking the physical and digital worlds, monitoring sensors, crafting triage plans for operators when alerts are triggered, and automatically generating service tickets in the work order system. Utilize historical data to address present challenges by generating tailored responses to incoming security assessments that are specific to your organization's data across various platforms. This approach not only fosters a more agile and responsive operational framework but also ensures that organizations remain adaptable to diverse industry requirements. Ultimately, the integration of these technologies paves the way for innovative solutions that can transform how organizations operate and respond to challenges.

What is Google Cloud Vertex AI Workbench?

Discover a comprehensive development platform that optimizes the entire data science workflow. Its built-in data analysis feature reduces interruptions that often stem from using multiple services. You can smoothly progress from data preparation to extensive model training, achieving speeds up to five times quicker than traditional notebooks. The integration with Vertex AI services significantly refines your model development experience. Enjoy uncomplicated access to your datasets while benefiting from in-notebook machine learning functionalities via BigQuery, Dataproc, Spark, and Vertex AI links. Leverage the virtually limitless computing capabilities provided by Vertex AI training to support effective experimentation and prototype creation, making the transition from data to large-scale training more efficient. With Vertex AI Workbench, you can oversee your training and deployment operations on Vertex AI from a unified interface. This Jupyter-based environment delivers a fully managed, scalable, and enterprise-ready computing framework, replete with robust security systems and user management tools. Furthermore, dive into your data and train machine learning models with ease through straightforward links to Google Cloud's vast array of big data solutions, ensuring a fluid and productive workflow. Ultimately, this platform not only enhances your efficiency but also fosters innovation in your data science projects.

Media

Media

Integrations Supported

Gemini 1.5 Pro
Amazon S3
Amazon SageMaker
Apache Spark
Datadog
Gemini 1.5 Flash
Gemini 2.0
Gemini Nano
Google Cloud BigQuery
Google Cloud Platform
Jupyter Notebook
Kong AI Gateway
Kubeflow
Microsoft Azure
Mistral Large 2
PostgreSQL
Shopify
SmythOS
Snowflake
TensorFlow

Integrations Supported

Gemini 1.5 Pro
Amazon S3
Amazon SageMaker
Apache Spark
Datadog
Gemini 1.5 Flash
Gemini 2.0
Gemini Nano
Google Cloud BigQuery
Google Cloud Platform
Jupyter Notebook
Kong AI Gateway
Kubeflow
Microsoft Azure
Mistral Large 2
PostgreSQL
Shopify
SmythOS
Snowflake
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$10 per GB
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Thread AI

Company Location

United States

Company Website

www.threadai.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/vertex-ai-workbench

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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