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#1 Robust Intelligence

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Robust intelligence is stress and failure testing solution for AI models. It combines the latest Deep Learning technology with a range of powerful assistants to deliver a tool that generates high-quality, comprehensive test data for your product and service. Its intelligent assistant allows you to quickly prototype AI models that run efficiently and can be used to test your existing infrastructure. It understands your code, generates and runs tests, and reports on the results through visual dashboards and charts. Using machine learning algorithms and a wide range of stress methodologies, Robust Intelligence provides actionable insight into your application’s stability, performance, and speed.

It has a user-friendly interface designed to allow non-technical users to understand and assess the risk levels of artificial intelligence systems, which are usually described as black boxes. With a simple drag-and-drop interface, Robust Intelligence can automatically load data into the model. Between each iteration, it allows the user to see how well their model is performing and assists them in identifying potential issues by highlighting at-risk areas of the model and highlighting underperforming or overperforming parts.

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#2 MLOps

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MLOps is a software platform that enables companies to manage AI production. Artificial Intelligence has the potential to completely transform business so companies can use it to not just scale today’s digital initiatives but to power the next generation of products and services. With MLOps, you can Tune model performance in production, Exploit your data with automated feature engineering and hyper-parameter tuning, Include powerful Machine Learning (ML) models as part of your production pipelines, Reduce costs with auto-scaling and pay-per-use pricing models, Deploy models seamlessly to any stack, using any deployment environment, and much more.

This feature-rich platform gives product managers, software engineers, and data scientists access to manage their production models. It includes a suite of tools and services that allow users to ingest data from multiple sources such as MySQL, Redshift, and many more. A single interface allows users to deploy, manage and monitor large-scale production models efficiently.

#3 Domino

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Domino is an AI and data science platform that helps data scientists and developers collaborate, deploy models and centralize infrastructure. The platform allows data scientists to train models in the cloud in real-time. The aim is to help data scientists work together and allows them to focus their skills on creating great intelligence rather than spending time deploying or waiting for their jobs to finish. It accelerates the pace of innovation, allowing teams to work faster, increasing the value of your data science initiatives.

Domino enables you to spend less time on manual tasks, freeing up developer time and increasing the scalability of your data science projects. Its process automation can be triggered by events such as a new file being uploaded with a certain format. When this occurs, an automated workflow is created that performs any necessary workflows in your business process.

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#4 Xyonix

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Xyonix is an AI Consulting and Data Science Solution that brings AI, Machine Learning, and Deep Learning to businesses by providing Software Engineering and Advisory services. Businesses can walk through their business scenarios using Data Science Dashboard and see how insights from a plethora of data sources can help them achieve better results. Xyonix helps its customers in automating the execution of their business strategies.

It does this by providing them with the necessary tools, data sets, and infrastructure to build their AI pipeline. Its predictive analytics tool uses algorithms to analyze massive amounts of data, mine patterns, and insights, and automatically generate objective advice. Ultimately, you can quantify your business performance and maximize your opportunities with the least amount of effort. Moreover, it has created an AI stethoscope, sales & lead conversion bot, fan response parser, AI-backed surgery, behavior analyzer, and much more to date.

#5 SAS Model Manager

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SAS Model Manager is a proven, reliable solution for the Analysis Services platform that enables you to integrate multiple environments, tools, and applications using open REST APIs. It helps you manage changes and enhancements to your data model across multiple environments and tools, Reduce the time required to test the latest data model changes by automatically regenerating your applications from the latest data model without any re-programming, and produce consistent reports across multiple environments, tools, and methods.

Moreover, you can take advantage of its new or existing data sources for your predictive, analytic, or machine learning applications and obtain service level agreements for agreed usage of your data model. All in all, SAS Model Manager is a great solution that empowers you to leverage SAS analytics to solve complex data problems by giving you deep performance insights, actionable recommendations, and fast, repeatable deployments.

#6 Datatron

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Datatron is an enterprise-grade ML Ops streamlining grid that provides organizations with real-time machine learning insights, workflows, & governance, allowing you to grow your business on your own terms. This interactive software serves as the hub of your operation, bringing together all of your data, models, and machine learning processes into a centralized location that makes it easy to monitor your performance and quickly scale your workflows in concert with changes in business requirements. No more spreadsheet sprawl, time wasted copying data into multiple models or waiting.

With Datatron, you’re able to create a unified data pipeline across your organization. Different departments within a business can use this solution to create a data science hub and contribute directly to improving the business processes. The platform supports all modern AI/ML frameworks, including Tensorflow, Caffe, CNTK, MXNet, Deeplearning4j, Mllib. This will allow data scientists to use the technology of their choice without having to learn new tools or change the workflow created in their preferred toolset.

#7 Digital.ai

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Digital.ai is an intelligent value stream management software platform for digital enterprises and application delivery teams. The self-learning bot uses artificial intelligence to deliver real-time insights and recommendations that help teams ‘do the right thing’ at any point in the delivery lifecycle of a digital product. It helps improve workflows by eliminating mundane tasks, streamlining processes, and automating manual work. It’s a platform that provides intelligent automation, continuous testing validation, and application security using Cognitive/AI Machine Learning (ML).

This patent-pending software delivery & application security platform allows organizations to achieve better visibility, predictability, speed, and overall delivery of software. It helps companies of all sizes, from software giants to small businesses, gain faster time-to-value from new applications, improved security, reduced costs, reduced risk, and improved compliance. The platform can be implemented in just a few weeks through Digital.ai’s unique development and delivery methodology, the “Stream Process”. This approach orchestrates the digital development lifecycle across all environments, providing a holistic view of the entire process and enabling end-to-end visibility into the software.

#8 Koverse

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Koverse is an intelligent data science platform for digital business, bringing information and intelligence to the most important and often last neglected business tool: the white space of the modern enterprise. The platform aims to serve as a single point of truth for business operations, with a vision for a future where businesses can easily view their entire operating picture and engage in real-time with the environment around them. It’s helping operations teams manage and optimize the way they run their companies.

Businesses of all sizes rely on Koverse’s services to provide automation, process orchestration, analytics, knowledge management, and intelligence to drive efficiency, compliance, and growth. Its technology enables data-driven business decisions that can improve the understanding of customer segments and improve the sales cycle for individuals and organizations. Koverse enhances management decision-making by collecting large amounts of structured, semi-structured, unstructured, and streaming data from internal systems, external sources, social media, and mobile devices.

#9 IBM Spectrum Conductor Deep Learning Impact (DLI)

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IBM Spectrum Conductor Deep Learning Impact (DLI) is an AI-powered tool that predicts the impact a change in behavior will have on a company’s financials while highlighting the potential risks of these changes. It leverages deep learning to provide risk and impact analytics using natural language processing (NLP), machine learning, and data science. It can help you optimize your spending to drive the most value for your organization by letting you predict the impact and build business case scenarios.

The key benefits of this tool are helps you make more informed decisions and create strategies that drive better business outcomes. It presents a cloud-based, mostly Python implementation of state-of-the-art work evaluation and education courses. Built-in instruments that do not require coding within the Python notebook; are mechanically imported into the Python notebook in addition to the most recent model of any library. These instruments have been constructed by means of IBM researchers on noted papers in real-time.

#10 Seldon

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Seldon is the data science platform for operationalizing and governing your AI and ML models. The solution is delivered as a fully managed service and deployed in the cloud so you can easily operationalize, monitor, control, and analyze algorithms. Once set up, Seldon will ensure that your model’s logic aligns with business logic, automatically monitor how your models are used, and alert you to any anomalies or non-conformances in your data or business logic. Its approach is unique and powerful that leverages the power of the cloud and containers to build a platform that is at once easy to use and easy to scale.

Unlike traditional approaches, which require you to manage data within a framework, it integrates with the datasets you already have and the frameworks you already use. Bring your own models or use built-in ones with open APIs like Core ML, PyTorch, Scikit-Learn, TensorFlow, TensorFlow-Slim, etc. Seldon builds and runs your models across any serverless platform. You have access to the same tools and AI ecosystem as the world’s largest enterprises. And since you can deploy your models to production at any time, they’re always ready to make revenue.

#11 Business Management & Entrepreneurship Skills

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Business Management & Entrepreneurship Skills is an app that allows entrepreneurs to be successful with this productivity feature. With this app, you can get an overview of business companies, and the role accounting plays in handling them. It helps you understand the concept of operations and managerial positions in the management field and develop a sense to solve and organize operational problems. Moreover, you will also get a deep understanding of how different people are managed.

A systematic framework introduction is also shown that tells you about marketing management and multiple goods and service approaches. After learning all these, you can master the tools and concepts that help you make the better decision for the company. Additionally, analytical approaches make your underlying strategy your own competitive advantage. All in all, Business Management & Entrepreneurship Skills is a great app that you can use to learn business management and decision-making skills.

#12 Progress Corticon

Freemium
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Progress Corticon is a decision rule-making platform for your business that allows you to complement your existing infrastructure application and automate them with the decision process, reducing development changes cycles to a large extent. With this platform, you can make, verify, and test business logic decisions into an intuitive spreadsheet. Apply some advanced analysis tools provided by Progress Corticon for validating those codes and simulate them on a scenario-based testing module. You can also get direct access to the decision service connection and external data like relational databases without expensive data integration. You do not need a code to execute those models.

The server processes those service decision models and scales them up according to your current business model. The rule integrity feature and onboard diagnostics mean no fear automation. Moreover, you can test new rules to ensure accurate results and pinpoint conflicts before they become headaches. All in all, Progress Corticon is a great platform for your business decision modeling and automating them for better productivity.

#13 FICO Blaze Advisor

Freemium
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FICO Blaze Advisor is a decision rules management system that allows you to automate and streamline business rules and drive faster, consistent, and smarter decisions. The platform lets you have maximum control over high-volume operational decisions. It offers scalable, smarter, and transparent business decisions. The platform supports the monitoring of business performance that is captured via user-defined events. This results in building blocks of strategy orchestration and challenger scenarios. With FICO Blaze Advisor’s powerful impact and decision analysis abilities, you can have multiple pathways for developing and managing those strategies.

The decision rules can be defined, reviewed, and upheld using a variety of different formats, such as ruleset, decision table, decision tree, scorecard, function, decision flow, etc. Any type of decision asset can be displayed in the most practical and natural way. All in all, FICO Blaze Advisor is a great service for streamlining business rules operation and decision making for better productivity and consistency across all channels.

#14 SAS Business Rules Manager

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SAS Business Rules Manager is a platform that provides a central rules repository for the management of business decisions and deployment. You can integrate it into your current system, whether on the cloud or on-premises. With this platform, you can eliminate the risk of as hoc operational and incremental decision-making with the use of the derived analytical business. This results in automation and improvement of business automation across the business.

It provides a common platform that allows businesses and organizations to collaboratively develop and deploy automated rules without any coding. The rules are stored in a database repository and can be managed easily by an administrator. The operational accuracy keeps your business rules consistent throughout all channels. The workflows include reviews, version history, approvals, and detailed reports. The data dependencies and full rule-flow lineage are determined graphically. All in all, SAS Business Rules Manager is a great platform that you can consider among its alternatives.

#15 IBM Operational Decision Manager

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IBM Operational Decision Manager is a business rule management platform that allows you to automate your business decisions and boost productivity. It incorporates event processing abilities into your existing infrastructure to enhance its functionalities. With this tool, you can discover, analyze, capture and govern the rules that are based on business decisions. You can deploy it in the cloud or on-premises as you want. With IBM Operational Decision Manager, you can authorize a loan, detect cross-seller opportunities, and decide on promotional offers with a high level of accuracy and customization.

Other notable features include business policy updates, flexible environment, multiple deployment options, integration options, etc. You can bring no code decision modeling into your business and encourage yourself how decisions are made, prototyped, and try them before taking them into practical processes. The testing and simulation abilities allow you to validate decision logic with well-defined usage scenarios and key performance indicators. All in all, IBM Operational Decision Manager is a great platform that you can use to automate your business decisions.

#16 Red Hat Decision Manager

Freemium
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Red Hat Decision Manager is a platform that offers the development of containerized microservices and apps that makes your business decisions automated. It provides you with tools that you can use to model tour business decisions and support the notation standard modeling. It also includes some advanced business rules engines and support for complicated event processing. An optimization engine is also there that helps you solve multiple scheduling and planning problems.

You can incorporate high-end decision logic into your business line applications and rapidly update them as the market changes. Red Hat Decision Manager uses live data and a highly scalable rule engine along with the business and IT specialists. Host decisions are optimized for cloud and containers, which helps you deploy them on the cloud or on-premises. All in all, Red Hat Decision Manager is a great platform that helps you streamline your business decisions and make them automated.

#17 ILOG JRules

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ILOG JRules is a business management system to allow developers and businesses to easily build and deploy a rule-based application that automates variable and fine-grained decisions. It’s a robust, secure, and scalable execution engine for rule base apps that are deployed and monitored in the rule execution server. The tool also has a complete set of execution capabilities like rule engine, hot deployment, and monitoring through the administrator web console.

The comprehensive development environment and scalable rule management server repository offer a collaborative web environment for validating, authoring, and managing business rules. ILOG JRules connector includes a configuration wizard that can be used to simplify the configuration of properties and link schemas in the stage to invoke the JRules ruleset when the job runs. The configuration wizard can also be used to automatically generate Java code based on the link schemas and property values defined on the stage.

#18 Style Intelligence

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Style Intelligence is a business intelligence platform that provides productivity tools like real-time performance insights, metrics, and data-driven dashboards with machine learning. You can deploy it on the cloud or on-premises with diverse structures and formats. For online analytics, its visualization dashboards are quick to build in a web app. Dashboards are automatically wired with deep built-in interactions and customization to enable end-user analysis. The mashup and visualization engine enables you to quickly profile data and verify data manipulations via data visualization.

While building visualization dashboards, you can also quickly add data transformations for more efficient visual output. With its fully integrated machine learning and business intelligence engine, the production efficiency is greatly optimized. The data mashup engine automatically generates native queries and API calls as analytics-ready data blocks. Furthermore, data blocks can be enabled as high-performance, compressed cache blocks for fast in-memory acceleration. This is beneficial when raw data volume is huge or when different data sources exhibit large performance disparity.

#19 Repsly

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Repsly is a platform that provides real-time insights into your business sales and execution performance. You get useful tools for promotions, smart merchandising, and sales execution for yourself and your team. There is also an app for making it easier to cover areas and grow sales on the go. With the app, you can share photos, send messages, and data with managers. Repsly’s powerful manager’s dashboard equips teams with the data they need to uncover opportunities at retail and the tools they need to deploy their team to take the right action in the store.

Repsly’s execution centralizes brands’ sales, field activity, and in-store data, connecting store-level activities with their impact on sales. You can get the insights you need to make smarter decisions in the field with advanced analytics on team performance and store-level execution. All of this is tailored to your team’s specific business needs. All in all, Repsly is a great tool that you can use to monitor and enhance your business strategy with real-time performance insights.

#20 Magento Business Intelligence

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Magento Business Intelligence, formerly known as RJMetrics, is a platform that provides business intelligence tools for eCommerce analytics, customer insights, and performance indicators. It is a one-stop solution for storing your data with its integrated data warehouse and data pipeline technology. You can directly integrate it with the website database, connect to your own systems, automate the data replication, extensively control and manage, all this with a central cloud-based warehouse. You will get a dedicated space to analyze, calculate columns, join tables, build analysis, build reports, and make queries for searching a specific result.

The whiteboard is also there to make visualizations and share insights with everyone. This feature lets you access pre-build reports, stay organized, empower employees with multiple permission levels, and schedule analysis to send them directly into their inbox. Drive deeper analyses by adding a third related dimension to any report. With RJMetrics, you can plot x and y values to x, y, and z values which are represented by the size of the bubble. Group the bubbles by another attribute to segment even further and change the bubble colors. Understand your data like never before.

#21 InRule

Freemium
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InRule is a cloud-ready business rule management platform that allows you to change business rules and decisions in the application without requiring JavaScript. The platform automates the decision process by simplifying the data science integration. This empowers organizations to operationalize AI and deliver better results. As a result, you can do a fast change cycle with more accuracy and less risk.

Some highlighting features include simplifying decisions, centralizing business decisions, executing them on the client or server side, and integrating with the current system. InRule has an author-first approach that allows both identical and business authors to manage and write decisions and embed them with active models. The tool can be deployed on the cloud or on-premises. All in all, InRule is a great platform that helps enterprises increase productivity, enhance customer service, and grow revenue.