Operationalizing AI With Supporting Technologies From AI.Associates.
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WE ACCELERATE THE ADOPTION OF AI
We’ve been applying analytics to the toughest business problems for decades. With AI.Hub we pioneered one platform for any data to create an open big data system for all industries.
At the core are avant-garde open source technologies like Elasticsearch, Cassandra, Spark, Kafka and Jupyter. AI.Hub orchestrates Big Data Workflows and AI Applications in real-time -
enriched by powerful AI.Utils delivering an "one-stop-shop" for machine learning, AI and other big data products, services, and applications.
One compact Big Data distribution with seamlessly matching components. Instant deployment and infinite scalability.
Superior data processing & analytics options. Jupyter, Grafana and Kibana as big data analytics interface.
AI.Utils provide a wide collection of classes and functions for data processing and monitoring within the AI.Hub. AI.Utils consist of an Execution Engine with different hooks for
logging and load process monitoring, a variety of different readers, processors and writers from data access to sources and sinks (such as Cassandra, Relational Databases, REST
API, JSON and XML files). They are adjustable to customer requirements (such as specific input/output formats) and allow a metadata-driven adaptation of source data. AI.Utils are
developed in Scala and delivered as a .jar file for each project (including detailed documentation). AI.Hub users benefit from continuous updates and improvements.
Apache Cassandra is an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no
single point of failure. Cassandra offers robust support for clusters spanning multiple data centers, with asynchronous masterless replication allowing low latency operations for all
clients. AI.Hub users benefit from Cassandra's flexible data storage options for both structured and unstructured data and high performing R/W operations. With our KNIME Cassandra
Connector Nodes access to any dataset stored in Cassandra is now a matter of seconds.
Apache Spark is a lightning-fast cluster computing technology for fast computation of large and big datasets. Spark is designed to cover a wide range of workloads such as batch
applications, iterative algorithms, interactive queries and streaming. AI.Hub embeds all components of Apache Spark, including Spark SQL, Spark Structured Streaming, MLlib Machine
Learning Library, and GraphX for distributed high performance graph & network computations. Easily run interactive, batch, or real-time analytics - all components are accessible
via the KNIME Extensions for Apache Spark.
JupyterLab & JupyterHub
JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible: configure and arrange a user interface to support a wide
range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular: write plugins that add new components and integrate with existing
ones. In combination with Jupyter Notebook we allow you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning
and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. JupyterHub serves as an interface of AI.Hub to run Apache Spark
applications (PySpark-based and Scala-based) for adhoc analysis as well as data processing and machine learning pipelines.
KNIME ANALYTICS PLATFORM
Ranked as the leading data science platform in the world, used by more than 300.000 users worldwide, offering more than 3.000 modules, and the widest choice of machine learning &
AI algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist. KNIME Analytics Platform serves as interface of AI.Hub to design number-crunching data
processing & machine learning pipelines. Run Apache Spark applications on big datasets stored in Cassandra, unleashing the power of scalable analytics based on KNIME's plug'n'play
workflow paradigm. Big Data Analytics has never been so easy.
Simplify the campaign planning process. Automate execution of campaigns across multiple touchpoints.
Facilitate tracking and monitoring of campaign performance. Use big data technologies to accelerate campaign execution.
CAMPAIGN PLANNING & DESIGN
The Campaign Planning module is designed to define and track marketing plans, including all associated programs and multi-touchpoint campaigns. All parameters relevant to a
campaign are captured and can be used to parameterize your marketing automation workflows as well as run a variety of marketing reports.
The Campaign Planning module is designed to define and track marketing plans, including all associated programs and multi-touchpoint campaigns. All parameters relevant to a campaign
are captured and can be used to parameterize your marketing automation workflows as well as run a variety of marketing reports.
We deliver true marketing and campaign optimization backed by the most sophisticated optimization algorithms that the open source community provides. AI.Campaign delivers robust
optimization formulation and sophisticated scenario analysis based on different constraints and objectives using true mathematical optimization algorithms.