Name: HALerium
Author: Erium

Customer Success Management Training

Help Desk

Web and Video Conferencing

Customer Support

Augmented Reality Development

Development

Academic Advising

Education

Board Management

Business Intelligence (BI)

Collaboration

Contract Management

Corporate Social Responsibility (CSR)

Desktop Publishing

Enhanced 911 (E911)

Environmental Health and Safety (EHS)

Manufacturing Execution

Project Portfolio Management

Enterprise

Accounting

Investor Relations

Merger and Acquisition

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Access Gateways

Build Automation

Cloud Storage

Continuous Delivery

Converged Infrastructure

Data Center Cooling

Data Fabric

Fraud Detection

Integration Platform as a Service (iPaaS)

Managed File Transfer (MFT)

Mobile Device Management (MDM)

Network Behavior Analysis

Network Performance Monitoring

Threat Intelligence

Value-Added Resellers (VARs)

Workload Automation

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Audience Engagement

Audio Editing

Content Management

Email Marketing

Gamification

Local Marketing

Marketing Automation

Press Release Management

Product Information Management (PIM)

Screen and Video Capture

Search Engine Marketing (SEM)

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Proposal

Quote to Cash

Sales Coaching

Sales

Cloud Infrastructure Entitlement Management

Security

Apparel

Chargeback Management

Dental

Financial Services CRM

ID Card

Internet of Medical Things

Nonprofit Fundraising

Oil and Gas

Vertical-Specific

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HALerium, developed by ERIUM GmbH, is a data analytics and AI platform that aims to assist organizations of all sizes in leveraging the power of data to drive innovation, create value, and gain a competitive edge. According to the vendor, HALerium is targeted at small to large enterprises and caters to a wide range of professionals, including data scientists, data analysts, business analysts, IT professionals, and engineering professionals. Industries such as manufacturing, automotive, research and development, consulting, and technology reportedly benefit from HALerium to accelerate their analytics projects and unlock the full potential of their data.

## Key Features

**Data Analytics Drives the Innovation Flywheel**: According to the vendor, HALerium provides a platform for organizations to leverage data analytics, gain insights, develop new methods, and implement changes to existing processes, fueling innovation efforts.

**Accessibility**: The vendor claims that HALerium aims to empower teams of engineers and domain experts to use and understand machine learning. It reportedly offers user-friendly interfaces and tools, making it easier for non-technical professionals to work with machine learning algorithms and models.

**Real-Time Collaboration**: HALerium is said to bring together IT professionals, domain experts, and management in a collaborative environment. The vendor states that it offers knowledge boards that collect and structure insights and results in real-time, facilitating seamless collaboration among stakeholders.

**Integrated Program Management**: According to the vendor, HALerium connects analytics strategy with use cases and provides comprehensive program management features. It reportedly helps businesses advance their analytics projects at any stage, keeping track of parallel workstreams, aligning goals, and optimizing team performance.

**Quicker Results with Templates**: The vendor claims that HALerium offers a Bayesian toolbox with ready-to-use algorithms and libraries, such as TensorFlow, KERAS, and pytorch. It is stated that leveraging these templates, businesses can accelerate their analytics projects and obtain results in hours rather than days.

**Enterprise-Grade Security**: HALerium is said to prioritize data security and ensures end-to-end encryption, including transport (SSL) and data storage. According to the vendor, it can be hosted in Germany or on-premises, providing businesses with control over their data. Features like SSO support and rights management are claimed to enhance data security and access control.

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

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KNIME Analytics Platform

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.

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Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

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What is HALerium?