As a leader in analytic process automation (APA), Alteryx unifies analytics, data science and process automation in one, end-toend platform to accelerate digital transformation and rapidly upskill the modern workforce. The Alteryx APA Platform™ provides hundreds of automation building blocks for data prep and blending, diagnostic and predictive analytics, AutoML, and code-free data science.

The self-service platform requires no specialized skillsets and is designed to put automation in the hands of all data workers; it can automate analytics and data science pipelines, manage complex data-centric business processes and deliver actionable insights to stakeholders in every line of business. Thousands of organizations globally use Alteryx to deliver quick wins and high-impact business outcomes.

Databricks has deep roots in academia and the open-source community as the company was founded in 2013 by the original creators of Apache Spark™, Delta Lake and MLflow. Built on a modern Lakehouse architecture in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.

As the market-leading choice for modern business intelligence, the Tableau platform is known for taking any kind of data from almost any system and turning it into actionable insights with speed and ease. It’s as simple as dragging and dropping. Its industry-leading enablement resources, training, and global data community offer unparalleled support for customers and their analytics investments. The Tableau mission is to help people see and understand data. Tableau goes beyond technology to ensure customer success by helping people build a data culture.

Reveal utilizes Cloudera’s product, Apache Hadoop. Hadoop is an ecosystem of open source components that fundamentally changes the way enterprises store, process, and analyze data. Unlike traditional systems, Hadoop enables multiple types of analytic workloads to run on the same data, at the same time, a massive scale on industry-standard hardware. Hadoop’s infinitely scalable flexible architecture (based on the HDFS filesystem) allows organizations to store and analyze unlimited amounts and types of data—all in a single, open-source platform on industry-standard hardware. With Hadoop, analysts and data scientists have the flexibility to develop and iterate on advanced statistical models using a mix of partner technologies as well as open-source frameworks like Apache Spark™.

From high-resolution satellite imagery to industry-specific insights, the Airbus vision is to empower users by getting accurate and reliable geospatial information where it’s needed as quickly as possible. It all starts with our satellite imagery services – leveraging the power of the Airbus constellation of satellites and adding flexible ways for users to get access and use the geospatial data.

Reveal utilizes Confluent’s product, Apache Kafka. Kafka’s key strength is the ability to make high volume data available as a real-time stream for consumption in systems with very different requirement. Apache Kafka is a distributed publish-subscribe messaging system that is designed to be fast, scalable, and durable. Kafka’s flexibility makes it ideal for a wide variety of use cases, from replacing traditional message brokers, to collecting user activity data, aggregating logs, operational application metrics, and device instrumentation. Kafka’s key features include the Hadoop scale, fast ingest, Always-on reliability, Support for high currency and multi-tenacity, and security.

Modeling and simulation of communication systems are essential for users to develop implement and analyze a network in real-time without the risks. To meet the need, SCALABLE developed the EXata communications system simulation software. EXata is a comprehensive suite of tools for emulating large wired and wireless networks. EXata provides a cost-effective and easy-to-use alternative to physical testbeds that typically have high equipment costs, complex setup requirements and limited scalability. The user is able to work with a high performance, high fidelity, communications system simulation engine, in which an extremely accurate “virtual” models environment can be created, and then analyzed through a series of scenarios to identify where there are weak points or failure modes that need to be addressed. This allows for a lab-based risk reduction work environment that is repeatable, verifiable and highly cost effective.

SafeNet’s key capabilities include Access Management, Encryption, and Cryptographic Key Management. SafeNet protects and encrypts data in transit, and at rest. Reveal leverages SafeNet for solutions that enable Government Network Operators and Commercial clients to protect and manage both the data and keys. Secure the data by encrypting or tokenizing it, while controlling access to the protected data. Protect keys by managing the full key lifecycle (generation, distribution, rotation, deletion, etc.) and establishing granular policies to control access to the data.