Alternatives to TAZI

TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.

Explorium is a data science platform that combines automatic data discovery with feature engineering. Explorium empowers data scientists and business executives to make better decisions by automatically connecting to thousands external data sources (premium and partner) and using machine learning to extract the most relevant signals. Try it for free at www.explorium.ai/free-trial

MyDataModels' best-in-class predictive analytics model TADA allows professionals to use their Small Data to improve their business. It is a simple-to-use tool that is easy to set up. TADA is a predictive modeling tool that delivers fast and useful results. With our 40% faster automated data preparation, you can transform your time from days to just a few hours to create ad-hoc effective models. You can get results from your data without any programming or machine learning skills. Make your time more efficient with easy-to-understand models that are clear and understandable. You can quickly turn your data into insights on any platform and create automated models that are effective. TADA automates the process of creating predictive models. Our web-based pre-processing capabilities allow you to create and run machine learning models from any device or platform.

JADBio is an automated machine learning platform that uses JADBio's state-of-the art technology without any programming. It solves many open problems in machine-learning with its innovative algorithms. It is easy to use and can perform sophisticated and accurate machine learning analyses, even if you don't know any math, statistics or coding. It was specifically designed for life science data, particularly molecular data. It can handle the unique molecular data issues such as low sample sizes and high numbers of measured quantities, which could reach into the millions. It is essential for life scientists to identify the biomarkers and features that are predictive and important. They also need to know their roles and how they can help them understand the molecular mechanisms. Knowledge discovery is often more important that a predictive model. JADBio focuses on feature selection, and its interpretation.

Amazon SageMaker Canvas provides business analysts with a visual interface to help them generate accurate ML predictions. They don't need any ML experience nor to write a single line code. A visual interface that allows users to connect, prepare, analyze and explore data in order to build ML models and generate accurate predictions. Automate the creation of ML models in just a few clicks. By sharing, reviewing, updating, and revising ML models across tools, you can increase collaboration between data scientists and business analysts. Import ML models anywhere and instantly generate predictions in Amazon SageMaker Canvas. Amazon SageMaker Canvas allows you to import data from different sources, select the values you wish to predict, prepare and explore data, then quickly and easily build ML models. The model can then be analyzed and used to make accurate predictions.

Connect your data to the Engine by uploading a file, or connecting to a database. You can then analyze your data with visualizations or prepare it for machine learning modeling using the data wrangling recipes. Build machine learning models using algorithms such as clustering, classification, or regression. All without writing any code. Discover insights into your data using the feature importance tools, prediction explanations, and what-ifs. Our connectors allow you to make predictions and integrate them into your existing systems.

A new category of AI. Most AI solutions today are designed using a mathematical and statistical lens. We took a different approach. Intelligent Artifacts' team has created a new type of AI based on information theory. It is a true AGI that eliminates the current shortcomings in machine intelligence. Our framework separates the intelligence layer from the data and application layers, allowing it to learn in real time and allowing it to make predictions down to the root cause. A truly integrated platform is required for AGI. Intelligent Artifacts will allow you to model information, not data. Predictions and decisions can be made across multiple domains without the need for rewriting code. Our dynamic platform and specialized AI consultants will provide you with a tailored solution that quickly provides deep insights and better outcomes from your data.

Select the subset of data that has the greatest impact on the accuracy of your model. This allows you to improve your model by using the best data in retraining. Reduce data redundancy and bias and focus on edge cases to get the most from your data. Lightly's algorithms are capable of processing large amounts of data in less than 24 hour. Connect Lightly with your existing buckets to process new data automatically. Our API automates the entire data selection process. Use the latest active learning algorithms. Combining active- and selfsupervised learning algorithms lightly for data selection. Combining model predictions, embeddings and metadata will help you achieve your desired distribution of data. Improve your model's performance by understanding data distribution, bias and edge cases. Manage data curation and keep track of the new data for model training and labeling. Installation is easy via a Docker Image and cloud storage integration. No data leaves your infrastructure.

Altair is used by data scientists and business analysts to extract actionable insights from their data. Knowledge Studio is a market-leading, easy-to-use machine learning and predictive analytics tool that quickly visualizes data and generates explainable results. It doesn't require a single line code. Knowledge Studio, a recognized leader in analytics, brings transparency and automation into machine learning with features like AutoML and explainable AI. You have complete control over how models are built and configured. Knowledge Studio is designed for collaboration across the business. Complex projects can be completed by data scientists and business analysts in minutes, hours, or even days. Results are easy to understand and explain. Data scientists can quickly create machine learning models using less time than coding or using other tools because of the ease of use and automation of modeling steps.

Amazon SageMaker Clarify is a machine learning (ML), development tool that provides purpose-built tools to help them gain more insight into their ML training data. SageMaker Clarify measures and detects potential bias using a variety metrics so that ML developers can address bias and explain model predictions. SageMaker Clarify detects potential bias in data preparation, model training, and in your model. You can, for example, check for bias due to age in your data or in your model. A detailed report will quantify the different types of possible bias. SageMaker Clarify also offers feature importance scores that allow you to explain how SageMaker Clarify makes predictions and generates explainability reports in bulk. These reports can be used to support internal or customer presentations and to identify potential problems with your model.

Arize's machine-learning observability platform automatically detects and diagnoses problems and improves models. Machine learning systems are essential for businesses and customers, but often fail to perform in real life. Arize is an end to-end platform for observing and solving issues in your AI models. Seamlessly enable observation for any model, on any platform, in any environment. SDKs that are lightweight for sending production, validation, or training data. You can link real-time ground truth with predictions, or delay. You can gain confidence in your models' performance once they are deployed. Identify and prevent any performance or prediction drift issues, as well as quality issues, before they become serious. Even the most complex models can be reduced in time to resolution (MTTR). Flexible, easy-to use tools for root cause analysis are available.

Data analysts, engineers, scientists, and other scientists can be brought together. Automate self-service analytics and machine learning operations. Get results today, build for tomorrow. Dataiku DSS is a collaborative data science platform that allows data scientists, engineers, and data analysts to create, prototype, build, then deliver their data products more efficiently. Use notebooks (Python, R, Spark, Scala, Hive, etc.) You can also use a drag-and-drop visual interface or Python, R, Spark, Scala, Hive notebooks at every step of the predictive dataflow prototyping procedure - from wrangling to analysis and modeling. Visually profile the data at each stage of the analysis. Interactively explore your data and chart it using 25+ built in charts. Use 80+ built-in functions to prepare, enrich, blend, clean, and clean your data. Make use of Machine Learning technologies such as Scikit-Learn (MLlib), TensorFlow and Keras. In a visual UI. You can build and optimize models in Python or R, and integrate any external library of ML through code APIs.

To develop AI solutions, engineers must have a resilient, open, repeatable engineering approach to ensure quality and agility. These efforts have not been able to address the challenges of today's complex environment, which is filled with a variety of tools and rapidly changing data. Platform for collaborative development that automates the control and development of AI applications across multiple persons. To predict customer behavior in real-time, and at scale, we can derive hyper-detailed customer profiles using enterprise data. AI-powered models that can continuously learn and achieve clearly defined business results. Allows organizations to demonstrate compliance with applicable rules and regulations. CognitiveScale's Cortex AI Platform is designed to address enterprise AI use cases using modular platform offerings. Customers use and leverage its capabilities in microservices as part of their enterprise AI initiatives.

RapidMiner is redefining enterprise AI so anyone can positively shape the future. RapidMiner empowers data-loving people from all levels to quickly create and implement AI solutions that drive immediate business impact. Our platform unites data prep, machine-learning, and model operations. This provides a user experience that is both rich in data science and simplified for all others. Customers are guaranteed success with our Center of Excellence methodology, RapidMiner Academy and no matter what level of experience or resources they have.

Deep Talk is the fastest way for text to be transformed from chats, emails and surveys into real business intelligence. Our AI platform makes it easy to understand what's going on inside customer communications. Unsupervised deep learning models for unstructured text data analysis Deepers are pre-trained deep learning models that can detect custom patterns in your data. The "Deepers API" allows you to analyze text in real-time and tag text or conversations. Reach out to the people who are in need of a product, ask for a new feature, or complain. Deep Talk offers cloud-based deeplearning models as a service. To extract all the insights and data from WhatsApp, chat conversation, emails, surveys, or social networks, you just need to upload the data or integrate one the support services

It is clear that data and analytics are key drivers of transformative business initiatives. Enterprises are increasingly able to access data to answer difficult questions. There is a greater demand for machine learning and data transformation tools that are easy to use, low-code, but flexible. Multiple tools can lead to inefficient data analysis, higher costs, and slower decision making. As closed-source solutions become obsolete, aging solutions with redundant features can threaten current data science projects. Knowledge Works combines decades of experience in data preparation and machine learning with one unified interface. As data sizes increase, Knowledge Works develops new open-source features and functionalities, and user profiles become more complex. It is easy to use for data scientists and business analysts.

Machine Learning and Predictive Analytics Platform. Advanced artificial intelligence is a pre-built platform for machine learning and big-data analytics that can enhance data-driven decision making. OpenText Magellan makes predictive analytics easy to use and provides flexible data visualizations that maximize business intelligence. Artificial intelligence software reduces the need to manually process large amounts of data. It presents valuable business insights in a manner that is easily accessible and relevant to the organization's most important objectives. Organizations can enhance business processes by using a curated combination of capabilities such as predictive modeling, data discovery tools and data mining techniques. IoT data analytics is another way to use data to improve decision-making based on real business intelligence.

ioModel allows existing analytics teams to access powerful machine learning models without writing code. This greatly reduces development and maintenance costs. Analysts can validate and understand the effectiveness of models created on the platform by using well-known and proven statistical validation methods. The ioModel Research Platform can do for machine learning what the spreadsheet could do for general computing. The ioModel Research Platform was developed entirely with open source technology. It is also available (without support and warranty) under the GPL License at GitHub. We invite the community to join us in developing the Platform's roadmap and governance. We are committed to working openly, transparently, and to driving forward analytics, modeling and innovation.

Neuton.AI, an automated solution, empowering users to build accurate predictive models and make smart predictions with: Zero code solution Zero need for technical skills Zero need for data science knowledge

Create statistically optimized representations for your data to train accurate ML models with limited, sparse and high-dimensional data. Dark Matter accelerates training and improves model performance by learning how to extract complex relationships from your existing data. This is done without extensive feature engineering and resource-intensive deep-learning. Data scientists can spend less time on data to solve hard problems. Dark Matter significantly improved the model precision and f1 score in predicting customer convertion in the online retail sector. When trained on an embedded optimization learned from sparse and high-dimensional data, model performance metrics improved across board. The banking industry improved its predictions of customer churn by training XGBoost with a better representation. No matter what model or domain you are in, you can improve your pipeline.

Amazon SageMaker Model Monitor allows you to select the data you want to monitor and analyze, without having to write any code. SageMaker Model monitor lets you choose data from a variety of options, such as prediction output. It also captures metadata such a timestamp, model name and endpoint so that you can analyze model predictions based upon the metadata. In the case of high volume real time predictions, you can specify the sampling rate as a percentage. The data is stored in an Amazon S3 bucket. This data can be encrypted, configured fine-grained security and defined data retention policies. Access control mechanisms can be implemented for secure access. Amazon SageMaker Model Monitor provides built-in analysis, in the form statistical rules, to detect data drifts and improve model quality. You can also create custom rules and set thresholds for each one.

SquareML is an advanced machine learning platform that does not require any coding. It was designed to make predictive modeling and advanced data analytics more accessible to everyone, especially in the healthcare industry. It allows users to harness machine-learning capabilities without extensive coding expertise, regardless of their technical expertise. The platform is specialized in data ingestion, including electronic health records and claims databases. It also includes medical devices and health information exchanges. The platform's key features include a data science lifecycle that requires no coding, generative AI for healthcare, unstructured conversion of data, diverse machine learning algorithms for predicting disease progression and patient outcomes, a library with pre-built models, and seamless integration to various healthcare data sources. SquareML's AI-powered insights are designed to streamline data processes, improve diagnostic accuracy, and improve the outcomes of patient care.

Metacoder makes data processing faster and more efficient. Metacoder provides data analysts with the flexibility and tools they need to make data analysis easier. Metacoder automates data preparation steps like cleaning, reducing the time it takes to inspect your data before you can get up and running. It is a good company when compared to other companies. Metacoder is cheaper than similar companies and our management is actively developing based upon our valued customers' feedback. Metacoder is primarily used to support predictive analytics professionals in their work. We offer interfaces for database integrations, data cleaning, preprocessing, modeling, and display/interpretation of results. We make it easy to manage the machine learning pipeline and help organizations share their work. Soon, we will offer code-free solutions for image, audio and video as well as biomedical data.

It's easy to build advanced predictive models with no math or coding in just a few clicks. The Complete Experience We provide everything you need, from cleaning data to building models to forecasting, and everything in between. Trustworthy. Learn the "why" behind AI decisions to drive business with actionable insight. Data Analytics in minutes without having to write code. In one click, you can complete the entire process of building ML algorithms, explaining results and predicting future outcomes. Machine Learning in 3 Steps You can go from raw data to actionable insights without writing a single line code. Upload your data. Ask questions in plain English Find the best model for your data. Share your results. Increase customer productivity We assist companies to use no code Machine Learning to improve their Customer Experience.

PolyAnalyst, a data analysis tool, is used by large companies in many industries (Insurance Manufacturing, Finance, etc.). It uses a visual composer to simplify complex data analysis modeling instead of programming/coding. This is one of its most distinctive features. It can combine structured and poly-structured data for unified analysis (multiple-choice questions and open ended responses), and it can process text data from over 16+ languages. PolyAnalyst provides many features to meet comprehensive data analysis requirements, including the ability to load data, cleanse and prepare data for analysis, deploy machine learning and supervised analytics techniques, and create reports that non-analysts may use to uncover insights.

SAS technologies combine to provide powerful tools for visual information. You can access, manipulate, analyze, and present information in visual formats. SAS Visual Machine Learning allows you to expand your analytics by using machine learning and deep learning capabilities. This makes it easier to visualize and report better. Visualize and discover relationships in your data. You can create and share interactive dashboards and reports, and use self service analytics to quickly assess possible outcomes to make data-driven, smarter decisions. This solution runs in SAS®, Viya®. It allows you to explore data and create or adjust predictive analytical models. Analysts, statisticians, data scientists, and analysts can work together to refine and refine models for each group or segment, allowing them to make informed decisions. A comprehensive visual interface allows you to solve complex analytical problems. It handles all aspects of the analytics lifecycle.

Building Machine Learning Pipelines internally can be costly and take longer than expected. Gartner's statistics show that more than 80% will fail in AI Projects. Cortex helps teams set up machine learning faster than other alternatives and puts data to work for business results. Every team can create their own AI Predictions. You no longer need to wait for a team to be hired and costly infrastructure to be built. Cortex allows you to make predictions using the data you already own, all via a simple web interface. Everyone can now be a Data Scientist! Cortex automates the process for turning raw data into Machine Learning Pipelines. This eliminates the most difficult and time-consuming aspects of AI. These predictions are accurate and always up-to-date because Cortex continuously ingests new data and updates the underlying model automatically, with no human intervention.

Amazon SageMaker Autopilot takes out the tedious work of building ML models. SageMaker Autopilot simply needs a tabular data set and the target column to predict. It will then automatically search for the best model by using different solutions. The model can then be directly deployed to production in one click. You can also iterate on the suggested solutions to further improve its quality. Even if you don't have the correct data, Amazon SageMaker Autopilot can still be used. SageMaker Autopilot fills in missing data, provides statistical insights on columns in your dataset, extracts information from non-numeric column, such as date/time information from timestamps, and automatically fills in any gaps.

Platform for developing use-case specific solutions powered by cloud native AI powered Decision Automation platform. Incedo LighthouseTM harnesses AI's power in a low-code environment to deliver action recommendations and insights every day by leveraging the superfast Big Data capabilities. Incedo LighthouseTM allows you to increase your revenue potential by optimizing customer experiences, and delivering hyper-personalized recommendation. Our AI- and ML-driven models allow personalization throughout the customer lifecycle. Incedo LighthouseTM can help you reduce costs by speeding the process of problem discovery, insight generation, and execution of targeted actions. Our ML-driven metric monitoring and root cause analysis models power the platform. Incedo LighthouseTM monitors data quality and uses AI/ML to resolve some quality issues. This improves trust in data.

PyRasgo, an open-source Python library, allows you to install Rasgo into your Python environment. Or, use our powerful, beautifully designed UI to get the Rasgo experience. You can create intuitive and detailed feature profiles in your panda's Rasgo UI or in its dataframe. Analyze key data statistics, quality issues, data drift, value distribution, and other data. Select features can be pruned to create a final set for modeling. Our extensive library of feature transformation functions can transform your raw data into useful features. Before you spend time training your model, visualize critical insights such as feature importance, explainability, and correlation. Collaborate with colleagues to create feature collection or duplicate existing feature collection to tailor for your model.

To detect and respond to data drift, track model performance for better business outcomes. Arthur's transparency and explainability APIs help to build trust and ensure compliance. Monitor for bias and track model outcomes against custom bias metrics to improve the fairness of your models. {See how each model treats different population groups, proactively identify bias, and use Arthur's proprietary bias mitigation techniques.|Arthur's proprietary techniques for reducing bias can be used to identify bias in models and help you to see how they treat different populations.} {Arthur scales up and down to ingest up to 1MM transactions per second and deliver insights quickly.|Arthur can scale up and down to ingest as many transactions per second as possible and delivers insights quickly.} Only authorized users can perform actions. Each team/department can have their own environments with different access controls. Once data is ingested, it cannot be modified. This prevents manipulation of metrics/insights.

Build an AI-powered machine-learning engineer to handle all of your data science and ML requirements. Xero’s artificial analyst is the next step in data science and ML. Ask Xara to do something with your data. Explore your data, create custom visuals and generate insights using natural language. Cleanse and transform your data to extract new features as seamlessly as possible. XARA allows you to create, train and test machine learning models that are completely customizable.

Invert provides a complete solution for collecting, cleaning and contextualizing data. This ensures that every analysis and insight are based on reliable and organized data. Invert collects, standardizes, and models all your bioprocessing data. It has powerful built-in tools for analysis, machine-learning, and modeling. Data that is clean, standardized and pristine is only the beginning. Explore our suite of tools for data management, analysis and modeling. Replace manual workflows with spreadsheets or statistical software. Calculate anything with powerful statistical features. Automatically generate reports using recent runs. Add interactive plots and calculations and share them with collaborators. Streamline the planning, coordination and execution of experiments. Find the data you want and dive deep into any analysis. Find all the tools to manage your data, from integration to analysis and modeling.

Easy deployment, management, monitoring, and security of AI models in production. Modzy is an Enterprise AI platform that makes it easy to scale trusted AI in your enterprise. Modzy can help you accelerate the deployment, management and governance of trusted AI. It offers enterprise-grade platform features such as security, APIs and SDKs that allow unlimited model deployment, management and governance. You can deploy on your hardware, private cloud, or public cloud. Includes AirGap deployments, and tactical edge. Auditing and governance for central AI management. This will give you access to all AI models in production in real time. The world's fastest explanation (beta), deep neural network solution, creating audit logs for model predictions. High-tech security features to prevent data poisoning, as well as a full-suite patented Adversarial Defence to protect models in production.

Data science platform that increases productivity and has unparalleled capabilities. Create and evaluate machine learning (ML), models of higher quality. Easy deployment of ML models can help increase business flexibility and enable enterprise-trusted data work faster. Cloud-based platforms can be used to uncover new business insights. Iterative processes are necessary to build a machine-learning model. This ebook will explain how machine learning models are constructed and break down the process. Use notebooks to build and test machine learning algorithms. AutoML will show you the results of data science. It is easier and faster to create high-quality models. Automated machine-learning capabilities quickly analyze the data and recommend the best data features and algorithms. Automated machine learning also tunes the model and explains its results.

E2E modeling that combines Business perspective and subject matter expertise with Data science (Statistical Models +ML + Business context & objectives). This combination is vital to the health and competitive advantage for the BFSI. • Models created on KuantSol can be used for long periods of times and are stable, optimal, and standardized. • Submission-ready standardized model documentation for federal regulators • Executives can easily understand the end model thanks to purpose-built configuration options at each decision step. For example, the top ML/AI vendors offer a few model options as well as selection criteria. While consulting firms may offer more, it would take more time and expertise. KuantSol offers 150+ • KuantSol advanced configuration enables auto model development.

Kraken is suitable for all data scientists and analysts. It is designed to be easy-to-use and no-code automated machine-learning platform. The Kraken no code automated machine learning platform (AutoML), simplifies and automates data science tasks such as data prep, data cleaning and algorithm selection. It also allows for model training and deployment. Kraken was designed with engineers and analysts in mind. If you've done data analysis before, you're ready! Kraken's intuitive interface and integrated SONAR(c), training make it easy for citizens to become data scientists. Data scientists can work more efficiently and faster with advanced features. You can use Excel or flat files for daily reporting, or just ad-hoc analysis. With Kraken's drag-and-drop CSV upload feature and the Amazon S3 connector, you can quickly start building models. Kraken's Data Connectors allow you to connect with your favorite data warehouse, business intelligence tool, or cloud storage.

This machine learning monitoring tool allows you to easily monitor and troubleshoot large model volumes. Data scientists can avoid false alarms and dead ends by using an unrivaled explainability accuracy and unique analyses that aren't available anywhere else. This allows them to quickly and effectively address critical problems. So that your business runs at its best, machine learning models are optimized. TruEra's explainability engine is the result of years of dedicated research and development. It is significantly more accurate that current tools. TruEra's enterprise-class AI explainability tech is unrivalled. The core diagnostic engine is built on six years of research by Carnegie Mellon University. It outperforms all competitors. The platform performs sophisticated sensitivity analyses quickly, allowing data scientists, business users, risk and compliance teams to understand how and why a model makes predictions.

Reduce loan turn-around times, increase team capacity, automate manual checks, and eliminate compliance risk. Encapture is trusted by innovative financial institutions to increase efficiency, so they can focus their efforts on growing their business. Machine learning can enhance your digital experience. Auto-validating supporting documentation can reduce processing times and provide immediate feedback. Eliminating manual data entry and verification tasks will improve loan margins and lower overhead costs. We listen to customers, spend time understanding your business processes and provide data about the financial impact. Our solution can be tailored to your business process and use case, not the opposite.

Amazon SageMaker Data Wrangler cuts down the time it takes for data preparation and aggregation for machine learning (ML). This reduces the time taken from weeks to minutes. SageMaker Data Wrangler makes it easy to simplify the process of data preparation. It also allows you to complete every step of the data preparation workflow (including data exploration, cleansing, visualization, and scaling) using a single visual interface. SQL can be used to quickly select the data you need from a variety of data sources. The Data Quality and Insights Report can be used to automatically check data quality and detect anomalies such as duplicate rows or target leakage. SageMaker Data Wrangler has over 300 built-in data transforms that allow you to quickly transform data without having to write any code. After you've completed your data preparation workflow you can scale it up to your full datasets with SageMaker data processing jobs. You can also train, tune and deploy models using SageMaker data processing jobs.

Data is essential when it comes to constructing, streamlining and growing your company. Unfortunately, it can be difficult to get the most out of data. Many organizations face incompatibilities, slow results, poor access to data and spiraling costs. Leaders who can transform raw data into real results are the ones who will succeed in today's competitive landscape. This is possible by empowering everyone in your company to be able analyze, build, and collaborate on machine learning and AI solutions. Streamflux is a one stop shop for all your data analytics and AI needs. Our self-service platform gives you the freedom to create end-to-end data solutions. It uses models to answer complex questions, and evaluates user behavior. You can transform raw data into real business impact in days instead of months, whether you are generating recommendations or predicting customer turnover and future revenue.

Your deep learning workload can be accelerated. AI model training and inference can speed up your time to value. Deep learning is becoming more popular as enterprises adopt it to gain and scale insight through speech recognition and natural language processing. Deep learning can read text, images and video at scale and generate patterns for recommendation engines. It can also model financial risk and detect anomalies. Due to the sheer number of layers and volumes of data required to train neural networks, it has been necessary to use high computational power. Businesses are finding it difficult to demonstrate results from deep learning experiments that were implemented in silos.

IBM Watson OpenScale provides visibility into the creation and use of AI-powered applications in an enterprise-scale environment. It also allows businesses to see how ROI is delivered. IBM Watson OpenScale provides visibility to companies about how AI is created, used, and how ROI is delivered at business level. You can create and deploy trusted AI using the IDE you prefer, and provide data insights to your business and support team about how AI affects business results. Capture payload data, deployment output, and alerts to monitor the health of business applications. You can also access an open data warehouse for custom reporting and access to operations dashboards. Based on business-determined fairness attributes, automatically detects when artificial Intelligence systems produce incorrect results at runtime. Smart recommendations of new data to improve model training can reduce bias.

You can build, run, and manage AI models and optimize decisions across any cloud. IBM Watson Studio allows you to deploy AI anywhere with IBM Cloud Pak®, the IBM data and AI platform. Open, flexible, multicloud architecture allows you to unite teams, simplify the AI lifecycle management, and accelerate time-to-value. ModelOps pipelines automate the AI lifecycle. AutoAI accelerates data science development. AutoAI allows you to create and programmatically build models. One-click integration allows you to deploy and run models. Promoting AI governance through fair and explicable AI. Optimizing decisions can improve business results. Open source frameworks such as PyTorch and TensorFlow can be used, as well as scikit-learn. You can combine the development tools, including popular IDEs and Jupyter notebooks. JupterLab and CLIs. This includes languages like Python, R, and Scala. IBM Watson Studio automates the management of the AI lifecycle to help you build and scale AI with trust.

Mona is a flexible and intelligent monitoring platform for AI / ML. Data science teams leverage Mona’s powerful analytical engine to gain granular insights about the behavior of their data and models, and detect issues within specific segments of data, in order to reduce business risk and pinpoint areas that need improvements. Mona enables tracking custom metrics for any AI use case within any industry and easily integrates with existing tech stacks. In 2018, we ventured on a mission to empower data teams to make AI more impactful and reliable, and to raise the collective confidence of business and technology leaders in their ability to make the most out of AI. We have built the leading intelligent monitoring platform to provide data and AI teams with continuous insights to help them reduce risks, optimize their operations, and ultimately build more valuable AI systems. Enterprises in a variety of industries leverage Mona for NLP/NLU, speech, computer vision, and machine learning use cases. Mona was founded by experienced product leaders from Google and McKinsey&Co, is backed by top VCs, and is HQ in Atlanta, Georgia. In 2021, Mona was recognized by Gartner as a Cool Vendor in AI Operationalization and Engineering.

Emly Labs, an AI framework, is designed to make AI accessible to users of all technical levels via a user-friendly interface. It offers AI project-management with tools that automate workflows for faster execution. The platform promotes team collaboration, innovation, and data preparation without code. It also integrates external data to create robust AI models. Emly AutoML automates model evaluation and data processing, reducing the need for human input. It prioritizes transparency with AI features that are easily explained and robust auditing to ensure compliance. Data isolation, role-based accessibility, and secure integrations are all security measures. Emly's cost effective infrastructure allows for on-demand resource provisioning, policy management and risk reduction.

It is an artificial intelligence solution that analyzes complex data and empowers decision making. This can transform industrial productivity and human life. It automates the data science process, which can reduce the workload on already overburdened teams. It breaks down data silos by intuitively creating data pipelines that feed live data into deployed model and then dynamically creating model execution pipelines to make real-time predictions based on incoming data. It monitors the health and maintenance of deployed models using the confidence of predicted results.

The Salford Predictive Modeler® (SPM), software suite, is highly accurate and extremely fast for developing predictive, descriptive, or analytical models. Salford Predictive Modeler®, which includes the CART®, TreeNet®, Random Forests® engines, and powerful new automation capabilities and modeling capabilities that are not available elsewhere, is a software suite that includes the MARS®, CART®, TreeNet[r], and TreeNet®. The SPM software suite's data mining technologies span classification, regression, survival analysis, missing value analysis, data binning and clustering/segmentation. SPM algorithms are essential in advanced data science circles. Automation of model building is made easier by the SPM software suite. It automates significant portions of the model exploration, refinement, and refinement process for analysts. We combine all results from different modeling strategies into one package for easy review.

All the steps involved in building machine learning algorithms and predicting results, all in one click. Data Dialog allows you to easily shape your data without having to wrangle your files. Your prediction reports can be shared with your team members or made public. Let anyone make predictions on your model. Our low-code API allows you to integrate dynamic ML predictions directly into your app. Real-time prediction of willingness to pay, score leads, and many other things. AI gives you access to the most advanced algorithms in the world, without compromising on performance. Forecast revenue, optimize supply chain, personalize your marketing. Now you can see what the next steps are. In minutes, you can add a CSV file or integrate with your favorite data sources. Select your prediction column from the dropdown and we'll automatically build the AI. Visualize the top drivers, predicted results, and simulate "what-if?" scenarios.

Delineate is an easy-to use platform that generates machine learning-driven predictive models for various purposes. You can enrich your CRM data with churn forecasts, sales forecasts, or even data products for customers and employees, just to name a few. Delineate allows you to quickly access data-driven insights that will help you make better decisions. The platform is for founders, revenue managers, product managers, executives, data enthusiasts, and others who are interested in data. Use Delineate to unlock the full potential of your data.