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PredictiveWorks

PredictiveWorks. is a declarative (code-free) AI software factory and revolutionizes the AI production process: Right now, AI products are artisanal and handcrafted products. They can be brilliant, but their “production” is cumbersome and turns into a critical bottleneck for volatile business environments where the right data-centric answer must be given on demand and just in time.

PredictiveWorks. offers a 360° Security-included view over AI production and covers the entire AI triad from data to algorithms to applications with a single platform and technology.

Its integrated 4Ds, Deep Pipes, Deep Learning, Deep Graph and Deep Threat industrialize and boost the production of AI solutions and are capable to keep pace with rapidly increasing cyber-attack surfaces in business and industry.

Predictive Works's Projects

aerospike-graph icon aerospike-graph

AerospikeGraph is a client layer for using Aerospike as a graph database. It is an implementation of the Apache TinkerPop interfaces.

akka-sigma icon akka-sigma

This project implements an Akka-based wrapper for Sigma rules.

akka-streams-ignite icon akka-streams-ignite

This project supports stream-aware, reactive, ingestion pipelines for Apache Ignite in Java and Scala.

cdap-connect icon cdap-connect

Purpose-built data connectors for Google CDAP data pipelines

cdap-graph icon cdap-graph

CDAP plugins to use JanusGraph as data source and sink with CDAP data pipelines

cdap-spark icon cdap-spark

A wrapper for Apache Spark to make machine & deep learning available in Google CDAP data pipelines.

deep-graph icon deep-graph

DeepGraph supports a 360° view on graph technology and supports analytics, storage and visualization.

ditto-clients icon ditto-clients

Client SDKs for the Eclipse Ditto Project https://eclipse.org/ditto/

fiware-sse icon fiware-sse

An Akka based microservice to publish FIWARE broker notifications as Server Sent Events (SSE)

gdelt-frames icon gdelt-frames

GDELTFrames provides a DataFrame-centric view over the Global Database of Events Language and Tone and prepares data for Apache Spark based machine learning and deep learning.

grafana-connect icon grafana-connect

Grafana Connect makes CDAP datasets available as Grafana data sources

grafana-works icon grafana-works

A Grafana datasource plugin to connect the Node Graph panel to a REST service.

ignite-graph icon ignite-graph

IgniteGraph is a client layer for using Apache Ignite as a graph database. It is an implementation of the Apache TinkerPop interfaces.

jekyll-toc icon jekyll-toc

A GitHub Pages compatible Table of Contents generator without a plugin or JavaScript :octocat:

kibana icon kibana

Your window into the Elastic Stack

opencv icon opencv

OpenCV Java bindings packaged with native libraries, seamlessly delivered as a turn-key Maven dependency.

pyhive icon pyhive

Python interface to Hive and Presto. 🐝

quandl-frames icon quandl-frames

QuandlFrames provides a DataFrame-centric view over Quandl market data and prepares them for Apache Spark based machine learning and deep learning.

raster-zoo icon raster-zoo

This project integrates RasterFrames and Analytics-Zoo, and enables deep & machine learning on imagery data.

sage-frames icon sage-frames

SageFrames brings together Sage ERP cloud platform and DataFrame-based data science. Transforming purchase & sales data into insights, recommendations and more with Apache Spark has never been easier.

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