Name: Zerve AI
Author: Zerve AI

Help Desk

Web and Video Conferencing

Customer Support

AI Development

Beta Testing

Performance Testing

Virtual Reality

Development

Business Intelligence (BI)

Collaboration

Emissions Management

Integrated Workplace Management (IWMS)

Intellectual Property (IP) Management

Online Notary

Enterprise

Accounting

Accounts Receivable

Crypto Tax

Payment Gateway

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

3D Printing

AI Governance

Cloud Storage

Custom Software Development Services

Data Deduplication

Data Science

Database-as-a-Service (DBaaS)

Fraud Detection

Game Engine

Integration Platform as a Service (iPaaS)

Intranet

Migration

Network Performance Monitoring

Open-Source Database

SaaS Management

Service Virtualization

Time Series Databases

Value-Added Resellers (VARs)

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Data Management

Ecommerce Personalization

Email Marketing

Marketing Automation

Mobile Advertising

Press Release Management

Product Intelligence

Social Media Management

Survey & Forms Building

Video Streaming

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Point of Sale

Sales Enablement

Sales Training

Sales

Secure Service Edge (SSE)

Security

Banking

Digital Forensics

Equation Editors

Geographic Information

Hospital Management

Insurance Agency Management

Insurance Claims Management

Intelligent Document Processing

Medical Office EMR & EHR

Physical Therapy

Veterinary

Vertical-Specific

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Zerve simplifies the complexities of tracking, managing, collaborating on, and deploying Data Science and AI/ML projects. The Zerve development platform, built specifically for code-first data teams, enhances transparency and  reduces the time from prototype to production.

KNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.

KNIME Business Hub

KNIME Community Hub  Personal Plan

KNIME Community Hub  Team Plan

Databricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data platforms. Users can manage full data journey, to ingest, process, store, and expose data throughout an organization.  Its Data Science Workspace is a collaborative environment for practitioners to run all analytic processes in one place, and manage ML models across the full lifecycle. The Machine Learning Runtime (MLR) provides data scientists and ML practitioners with scalable clusters that include popular frameworks, built-in AutoML and optimizations.

Standard

Premium

Databricks Data Intelligence Platform

Zerve AI

Platform Connectivity

Ability to connect to a wide variety of data sources

Connect to Multiple Data Sources

Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion

Extend Existing Data Sources

Use R or Python to create custom connectors for any APIs or databases

Automatic Data Format Detection

Automatic detection of data formats and schemas

MDM Integration

Integration with MDM and metadata dictionaries

Data Exploration

Ability to explore data and develop insights

Visualization

The product’s support and tooling for analysis and visualization of data.

Interactive Data Analysis

Ability to analyze data interactively using Python or R Notebooks

Data Preparation

Interactive Data Cleaning and Enrichment

Access to visual processors for data wrangling

Data Transformations

Use visual tools for standard transformations

Data Encryption

Built-in Processors

Library of processors for data quality checks

Platform Data Modeling

Multiple Model Development Languages and Tools

Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.

Automated Machine Learning

Tools to help automate algorithm development

Single platform for multiple model development

Single place to build, validate, deliver, and monitor many different models

Self-Service Model Delivery

Multiple model delivery modes to comply with existing workflows

Model Deployment

Tools for deploying models into production

Flexible Model Publishing Options

Publish models as REST APIs, hosted interactive web apps or as scheduled jobs for generating reports or running ETL tasks.

Security, Governance, and Cost Controls

Built-in controls to mitigate compliance and audit risk with user activity tracking

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Zerve AI

Overview

What is Zerve AI?