Fosfor Decision Cloud Integrations

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Salesforce helps sales teams accelerate their performance and achieve their goals. Salesforce is the world's most-used CRM, and so much more. With Salesforce, teams get access to tools that allow them to grow their accounts, find new customers, and close deals—faster and from anywhere. It offers a wealth of features that include contact management, opportunity management, lead management, email integration, reports and dashboards, sales forecasting, files sync and share, and so much more. Spend less time digging around in spreadsheets and more time running your business. No hardware, no software, no hassle. Our simple setup assistant will have you streamlining sales and answering customer questions in just minutes. Give buyers seamless, personalized experiences by connecting data across sales, service, and marketing. See a complete view of the customer — their account, activity history, and connections. Pull in social data for a deeper view of your customers.

IBM Cloud® capabilities enable business agility and resiliency. Explore the platform that gives you 2.5x value. Designed for industry, security and the freedom to build and run anywhere. Business workflow transformation with automation and AI. Strong technology partner ecosystem that delivers value for industry needs. Industry and business domain expertise and solutions. Automated and auditable processes. Unique capabilities for the highest levels of cloud security and monitoring. Consistent security and controls posture across all applications. Containerized capabilities for DevOps, automation, data and security. Ease of integration and a consistent application development lifecycle. Advanced technologies including IBM Watson®, analytics, IoT, and edge.

Your cloud data platform. Secure and easy access to any data with infinite scalability. Get all the insights from all your data by all your users, with the instant and near-infinite performance, concurrency and scale your organization requires. Seamlessly share and consume shared data to collaborate across your organization, and beyond, to solve your toughest business problems in real time. Boost the productivity of your data professionals and shorten your time to value in order to deliver modern and integrated data solutions swiftly from anywhere in your organization. Whether you’re moving data into Snowflake or extracting insight out of Snowflake, our technology partners and system integrators will help you deploy Snowflake for your success.

The Jupyter Notebook is an open-source web application that allows 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.

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible, configure and arrange the 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. The Jupyter Notebook is an open-source web application that allows 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. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.

The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive. Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Previously it was a subproject of Apache® Hadoop®, but has now graduated to become a top-level project of its own. We encourage you to learn about the project and contribute your expertise. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like queries (HiveQL) into the underlying Java without the need to implement queries in the low-level Java API.

Unlock data value, accelerate insightful decisions, and securely achieve data agility with the MarkLogic data platform. Combine your data with everything known about it (metadata) in a single service and reveal smarter decisions—faster. Get a faster, trusted way to securely connect data and metadata, create and interpret meaning, and consume high-quality contextualized data across the enterprise with the MarkLogic data platform. Know your customers in-the-moment and provide relevant and seamless experiences, reveal new insights to accelerate innovation, and easily enable governed access and compliance with a single data platform. MarkLogic provides a proven foundation to help you achieve your key business and technical outcomes—now and in the future.

Intended for digital forensic labs, data recovery businesses, or individuals, it provides them with a first-class professional data recovery tool set that can solve most of the challenges they could ever face. Besides powerful data recovery features, it includes a versatile file previewer that helps you estimate the chances for a successful data recovery, a flexible RAID reconstruction module with custom-defined RAID configurations, modules for data recovery over a network, and a professional text/hexadecimal editor; an all-in-one, fully integrated application. Rights to temporarily install R-Studio on any computer in your organization or on a customer's computer. You can also run R-Studio from a removable device such as a CD or USB flash memory drive (R-Studio Technician Portable).

Extend your business processes in the cloud. Extend SAP solutions in a fast and agile way without disrupting key business processes - leveraging existing investments and expertise. Rapidly develop robust and scalable cloud-native applications. Leverage your existing ABAP expertise to create new extensions or renovate existing custom apps. Innovate for business agility with cloud-native, low-code, and responsive event-driven applications. Accelerate outcomes with intelligent business process optimization. Discover, configure, extend and optimize business processes, connecting experience data to operational workflows. Gain impactful and actionable insights to anticipate business outcomes and uncover new revenue and growth opportunities. Harness the power of predictive analytics and machine learning capabilities. Embed real-time intelligence into your business applications. Advance and personalize the user experience for your customers, partners and employees.

PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics.