Name: DeepLobe
Author: Soulpage IT Solutions

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Web and Video Conferencing

Customer Support

Augmented Reality Development

Batch Management Software

Software Configuration Management

Development

Business Intelligence (BI)

Collaboration

Data Discovery and Visualization

Digital Rights Management (DRM)

Document Management

Dropshipping

Electronic Signature

Operational Analytics

Enterprise

Accounting

Trust Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Corporate Volunteering

HR Management

Payroll

Recruitment Agency

Relocation

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

eLearning Content

Human Resources

3D Printing

AI Governance

Application Lifecycle Management (ALM)

Cloud Storage

Consulting and Advisory Services

Content Delivery Networks (CDN)

Data Fabric

Data Recovery Service

Fraud Detection

Hadoop-Related

Integration Platform as a Service (iPaaS)

Internet Performance Monitoring

Managed File Transfer (MFT)

Network Performance Monitoring

Office Migration and Repair

Robotic Process Automation (RPA)

System Monitoring

Zero Trust Security Solutions

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Audience Engagement

Blogging

Competitive Intelligence

Content Management

Email Marketing

Local Marketing

Marketing Automation

Social Media Management

Survey & Forms Building

Text to Speech

Web Analytics

Wholesale Marketplace

Marketing

Job Site Management

Project Management

Waste Management

Writing and Proofreading Tools

Professional Services

Customer Relationship Management (CRM)

Sales

Cloud Access Security Brokers

User and Entity Behavior Analytics (UEBA)

Security

Architecture

Camp Management

Chargeback Management

Dental

Digital Forensics

Nonprofit CRM

Plagiarism Checker

Vertical-Specific

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DeepLobe is a no-code AI platform that, according to the vendor, simplifies the development and integration of AI models into existing software, apps, and platforms. It aims to enable organizations of all sizes, from small startups to large enterprises, to leverage the power of artificial intelligence without extensive coding or technical expertise. DeepLobe caters to various professions and industries, including healthcare professionals, retail and marketing professionals, manufacturing professionals, government officials, and professionals in the banking, finance, and insurance sectors.

## Key Features

**Labeling**: DeepLobe provides an auto-annotation platform that, according to the vendor, streamlines the labeling process for images, text, and videos. It offers a user-friendly interface and auto-annotation capabilities, which the vendor claims can save time and effort in data preparation.

**Training**: DeepLobe allows users to automatically create computer vision models. Its training feature aims to increase productivity by delivering accurate inferences and supporting model explainability. According to the vendor, it also supports various deep learning algorithms and techniques.

**Deployment**: DeepLobe simplifies the integration of AI models into applications with just a few clicks using APIs. Its deployment feature takes care of infrastructure management, ensuring smooth and efficient model deployment. Users can deploy models anywhere without touching the model architecture, as claimed by the vendor.

**Ready-to-use pre-built models**: DeepLobe offers a catalog of pre-trained models for various computer vision use cases. These models are ready to use, eliminating the need for users to train from scratch and providing a starting point for their AI applications, according to the vendor.

**Flexibility to customize your own models**: DeepLobe allows users to upload their training datasets and create custom machine learning models tailored to their specific needs. This feature enables fine-tuning, optimization, and adaptation of AI models to specific business requirements, as claimed by the vendor.

**Scalable deployment for any business**: DeepLobe's deployment feature aims to ensure scalability for businesses of all sizes. It handles large datasets, load balancing, and auto-scaling to meet growing demands and integrate AI capabilities seamlessly, according to the vendor.

**Seamless development and integration**: DeepLobe provides a no-code AI platform that, according to the vendor, enables developers and non-developers to build and deploy AI applications without extensive coding. Visual no-code tools are claimed to accelerate the development process and bring AI applications to market faster.

**Train custom models in a short span**: DeepLobe aims to enable users to train custom models quickly. It offers efficient training algorithms and techniques that optimize the training process, allowing users to iterate and experiment with different configurations, according to the vendor.

**OCR (Optical Character Recognition)**: DeepLobe's OCR feature aims to extract text from images and documents, converting unstructured data into structured information. It supports multiple languages and automates data entry processes, which the vendor claims can improve operational efficiency.

**Image Segmentation**: DeepLobe's Image Segmentation feature aims to identify and separate objects within images, providing pixel-level accuracy in delineating boundaries. It facilitates image editing, object recognition, and computer vision applications, according to the vendor.

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

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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DeepLobe

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.

Machine Learning

Soulpage IT Solutions

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What is DeepLobe?