Alternatives to Kepler

Fully managed service that provides product recommendations tailored to the needs of your customers. BytePlus recommend draws on our machine learning expertise to provide dynamic and targeted recommendations. Our industry-leading team has a track history of delivering recommendations on some of the most popular platforms in the world. To engage users better and make personalized suggestions based upon customer behavior, you can use the data from your users. BytePlus recommend is easy to use, leveraging your existing infrastructure and automating the machine-learning workflow. BytePlus recommend leverages our research on machine learning to deliver personalized recommendations that are tailored to your audience's preferences. Our algorithm team is highly skilled and can develop customized strategies to meet changing business goals and needs. Pricing is determined based on A/B testing results. Based on your business needs, optimization goals are set.

Improvado, an ETL solution, facilitates data pipeline automation for marketing departments without any technical skills. This platform supports marketers in making data-driven, informed decisions. It provides a comprehensive solution for integrating marketing data across an organization. Improvado extracts data form a marketing data source, normalizes it and seamlessly loads it into a marketing dashboard. It currently has over 200 pre-built connectors. On request, the Improvado team will create new connectors for clients. Improvado allows marketers to consolidate all their marketing data in one place, gain better insight into their performance across channels, analyze attribution models, and obtain accurate ROMI data. Companies such as Asus, BayCare and Monster Energy use Improvado to mark their markes.

ANSI SQL allows you to analyze petabytes worth of data at lightning-fast speeds with no operational overhead. Analytics at scale with 26%-34% less three-year TCO than cloud-based data warehouse alternatives. You can unleash your insights with a trusted platform that is more secure and scales with you. Multi-cloud analytics solutions that allow you to gain insights from all types of data. You can query streaming data in real-time and get the most current information about all your business processes. Machine learning is built-in and allows you to predict business outcomes quickly without having to move data. With just a few clicks, you can securely access and share the analytical insights within your organization. Easy creation of stunning dashboards and reports using popular business intelligence tools right out of the box. BigQuery's strong security, governance, and reliability controls ensure high availability and a 99.9% uptime SLA. Encrypt your data by default and with customer-managed encryption keys

Altair Monarch, a leader in data discovery and data transformation with more than 30 years of industry experience, offers the fastest and most efficient way to extract data from any source. Users can collaborate and create simple workflows that don't require any coding. They can transform complex data, such as PDFs, text files, and big data, into rows or columns. Altair can automate the preparation of data on premises and in the cloud to deliver reliable data for smart business decision-making. Click the links below to learn more about Altair Monarch and download a free copy of its enterprise software.

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.

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.

Alteryx AI Platform will help you enter a new age of analytics. Empower your organization through automated data preparation, AI powered analytics, and accessible machine learning - all with embedded governance. Welcome to a future of data-driven decision making for every user, team and step. Empower your team with an intuitive, easy-to-use user experience that allows everyone to create analytical solutions that improve productivity and efficiency. Create an analytics culture using an end-toend cloud analytics platform. Data can be transformed into insights through self-service data preparation, machine learning and AI generated insights. Security standards and certifications are the best way to reduce risk and ensure that your data is protected. Open API standards allow you to connect with your data and applications.

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.

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.

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.

Weights & Biases allows for experiment tracking, hyperparameter optimization and model and dataset versioning. With just 5 lines of code, you can track, compare, and visualise ML experiments. Add a few lines of code to your script and you'll be able to see live updates to your dashboard each time you train a different version of your model. Our hyperparameter search tool is scalable to a massive scale, allowing you to optimize models. Sweeps plug into your existing infrastructure and are lightweight. Save all the details of your machine learning pipeline, including data preparation, data versions, training and evaluation. It's easier than ever to share project updates. Add experiment logging to your script in a matter of minutes. Our lightweight integration is compatible with any Python script. W&B Weave helps developers build and iterate their AI applications with confidence.

Oracle Analytics is a comprehensive platform designed for all analytics user roles, integrating AI and machine learning across the board to boost productivity and enable smarter business decisions. Whether you opt for Oracle Analytics Cloud, our cloud-native service, or Oracle Analytics Server, our on-premises solution, you can ensure robust security and governance without compromise.

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.

Gathr is a Data+AI fabric, helping enterprises rapidly deliver production-ready data and AI products. Data+AI fabric enables teams to effortlessly acquire, process, and harness data, leverage AI services to generate intelligence, and build consumer applications— all with unparalleled speed, scale, and confidence. Gathr’s self-service, AI-assisted, and collaborative approach enables data and AI leaders to achieve massive productivity gains by empowering their existing teams to deliver more valuable work in less time. With complete ownership and control over data and AI, flexibility and agility to experiment and innovate on an ongoing basis, and proven reliable performance at real-world scale, Gathr allows them to confidently accelerate POVs to production. Additionally, Gathr supports both cloud and air-gapped deployments, making it the ideal choice for diverse enterprise needs. Gathr, recognized by leading analysts like Gartner and Forrester, is a go-to-partner for Fortune 500 companies, such as United, Kroger, Philips, Truist, and many others.

Trifacta's Cloud Dataprep is an intelligent data service that visually explores, cleans, and prepares structured and unstructured data to be used for analysis, reporting, or machine learning. Cloud Dataprep works on any scale and is serverless, so there is no infrastructure to install or manage. Cloud Dataprep will suggest and predict your next data transformation with every UI input. This eliminates the need to write code. Cloud Dataprep, a Trifacta-operated integrated partner service, is based on their industry-leading data prep solution. Trifacta and Google work together to create a seamless user experience. This eliminates the need to install software, pay separate licensing fees, or incur ongoing overhead. Cloud Dataprep is fully managed, scales according to your data preparation requirements so you can focus on analysis.

Tamr's next-generation platform for data mastering combines machine learning and human feedback to eliminate data silos and continually clean up and deliver accurate data throughout your business. Tamr works with top organizations worldwide to solve their most difficult data problems. To solve problems such as duplicate records and errors, Tamr works with leading organizations around the world to provide a complete view of all your data - from customers, suppliers, and product. Next-generation data mastering combines machine learning and human feedback to provide clean data that can be used to make business decisions. Clean data can be fed to operational systems and analytics tools with up to 80% less effort than traditional methods. Tamr assists financial firms to stay data-driven and improve their business results, from Customer 360 to reference data administration. Tamr assists the public sector in meeting mission requirements faster by reducing manual workflows for data entity resolution.

End-to-end DataOps built upon an agile platform that protects and improves your data assets. Arena is the leading augmented data management platform. Our active data catalog allows for self-service data enrichment to control complex data environments. You can create custom workflows to increase the reliability and accuracy of each data set. Machine-learning can be used to identify and align master assets for better data decisions. Superior security is assured with complete lineage, including detailed visualizations and masking. Data management is easy with Arena. Arena can catalog your data from any location. Our extensible connections allow for analytics across all your preferred tools. Overcome data sprawl challenges with our software. Our software is designed to drive business and analytics success, while also providing the controls and extensibility required in today's multicloud data complexity.

A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.

The self-service analytics tools promised to make end users more data-driven and agile. The increased agility resulted in siloed, disconnected work as a part of an ungoverned data-free-for-all. Knowledge Hub addresses these issues by providing a solution that benefits business users and simplifies and improves IT governance. Knowledge Hub is the only market-leading collaborative data preparation platform. It offers a browser-based interface that automates data transform tasks. Business teams can collaborate with data engineers and scientists to create, validate, and share governed, trusted datasets. No coding is required to share work and make better decisions. A cloud-ready solution that is designed to foster innovation can manage governance, data lineage, and collaboration. A platform that is extensible and requires little to no code allows multiple people in the enterprise to transform data.

Datuum is an AI-powered data integration tool that offers a unique solution for organizations looking to streamline their data integration process. With our pre-trained AI engine, Datuum simplifies customer data onboarding by allowing for automated integration from various sources without coding. This reduces data preparation time and helps establish resilient connectors, ultimately freeing up time for organizations to focus on generating insights and improving the customer experience. At Datuum, we have over 40 years of experience in data management and operations, and we've incorporated our expertise into the core of our product. Our platform is designed to address the critical challenges faced by data engineers and managers while being accessible and user-friendly for non-technical specialists. By reducing up to 80% of the time typically spent on data-related tasks, Datuum can help organizations optimize their data management processes and achieve more efficient outcomes.

The ever-on economy of today is creating data at an ever-increasing rate. It's important to be data-driven so that you can react quickly to new opportunities and stay ahead of your competitors. What if data provisioning and preparation could be simplified? What if you could share data insights across teams and perform database analysis more efficiently? Imagine if you could do this with a time saving of up to 40% Toad Intelligence Central, a server-based application, can be used in conjunction with Toad(r] Data Point. It transfers power back into your business at a cost-effective price. Secure, controlled access to SQL scripts, project artifacts and automation workflows can improve collaboration among Toad users. Advanced data connectivity allows you to easily abstract structured and unstructured data sources to create refreshable datasets that can be used by any Toad user.

Darwin is an automated machine-learning product that allows your data science and business analysis teams to quickly move from data to meaningful results. Darwin assists organizations in scaling the adoption of data science across their teams and the implementation machine learning applications across operations to become data-driven enterprises.

HyperSense platform is an augmented analysis, cloud-native and SaaS-based platform. It helps enterprises make better decisions by leveraging Artificial Intelligence across the data value chain. It combines data from multiple sources and turns it into insights. It also builds, interprets, and tunes AI models and shares the results with other employees. HyperSense is a single-stop solution that enables telecom companies to accelerate business decision-making by leveraging self-serve artificial intelligence. It is easy to use, no-code and quick to set up, empowering business users, data scientists, and domain experts to create and operate AI models throughout the organization.

Bipp's cloud BI platform is powered by the bippLang Data modeling language. It was created for SQL and data analysts right from the beginning. It saves time for you and your team so that your business can make faster, better-informed decisions. BippLang data modeling language simplifies SQL queries by creating complex data models with custom columns, dynamic sub-querying, and reusable data. Git-based version control allows analysts to collaborate; all data models are automatically backed by the system. An always-free version allows you to access a powerful BI platform and professional support at no additional cost. In-database analytics makes it easy to access the data in a single system. This speeds up access and produces real-time results. Auto-SQL generator uses joins in the data model to determine which tables to join, and generate dynamic sub-queries based upon context. Data models that are single source of truth ensure that everyone in the organization can base business decisions on the same data.

Scribble Data allows organizations to enrich their data and transform it to enable reliable, fast decision-making for business problems. Data-driven decision support for your business. Data-to-decision platform that allows you to generate high-fidelity insights and automate decision-making. Machine learning and advanced analytics can solve your business decision-making problems. Enrich will do the heavy lifting so you can focus on the important tasks and Enrich will take care of the rest. You can use customized data-driven workflows to make data consumption easy and reduce dependence on machine learning and data science engineering teams. With feature engineering capabilities that can prepare large volumes of complex data at scale, you can go from concept to operational product in a matter of weeks.

HPE Ezmeral ML Ops offers pre-packaged tools that enable you to operate machine learning workflows at any stage of the ML lifecycle. This will give you DevOps-like speed, agility, and speed. You can quickly set up environments using your preferred data science tools. This allows you to explore multiple enterprise data sources, and simultaneously experiment with multiple deep learning frameworks or machine learning models to find the best model for the business problems. On-demand, self-service environments that can be used for testing and development as well as production workloads. Highly performant training environments with separation of compute/storage that securely access shared enterprise data sources in cloud-based or on-premises storage.

Synthesized can help you unlock the full potential of your data projects and AI. We automate all stages of data preparation and provisioning with cutting-edge AI. The platform synthesizes data without exposing personal information or causing compliance issues. Software to prepare and provide accurate synthetic data for building better models at scale. Synthesized solves the problem of data sharing for businesses. 40% of companies that invest in AI can't report business benefits. Our easy-to-use platform allows data scientists, product, and marketing teams to focus on revealing critical insight. Without representative data, testing data-driven applications can be difficult. This can lead to problems when services go live.

The Easy Way to Remove Duplicate Salesforce Records DataGroomr uses Machine Learning to automatically detect duplicate Salesforce records. Duplicate Salesforce records are automatically loaded into a queue so users can compare them side-by-side and decide which values to keep, add new values, or merge. DataGroomr provides everything you need to locate, merge, and get rid off dupes. DataGroomr's Machine Learning algorithms take care of the rest. You can merge duplicate records in one click or en masse from within the app. You can select field values to create a master record, or you can use inline editing for new values. You don't want to see duplicates across the entire organization. You can define your own data by industry, region, or any Salesforce field. The import wizard allows you to merge, deduplicate and append records while importing Salesforce. Automated duplication reports and mass merging tasks can be set up at a time that suits your schedule.

Xtract Data Automation Suite (XDAS) is a comprehensive platform designed to streamline process automation for data-intensive workflows. It offers a vast library of over 300 pre-built micro solutions and AI agents, enabling businesses to design and orchestrate AI-driven workflows with no code environment, thereby enhancing operational efficiency and accelerating digital transformation. By leveraging these tools, XDAS helps businesses ensure compliance, reduce time to market, enhance data accuracy, and forecast market trends across various industries.

Snowflake®, a cloud data platform and enterprise-grade architecture, allows you to securely store and use your data in the cloud. Drag-and-drop visual workflow design and built-in ETL to connect, clean and transform data from 250+ sources. You can generate actionable insights and insights from your data using the latest Search and AI-driven technology. Our AI/ML environments can be used to build, tune, and deploy models for predictive analytics or forecasting. Our AI/ML environments are available to help you take your data to new heights. The PurpleCube Data Science module allows you to create, train, tune, and deploy AI models for forecasting and predictive analysis. PurpleCube Analytics allows you to create BI visualizations, search your data with natural language and use AI-driven insights and smart recommendations to provide answers to questions that you didn't know to ask.

Decision intelligence aims to empower employees with the ability to make faster, more informed decisions that will allow them to take corrective steps, capitalize on opportunities, and drive innovation. The data and analytics platform that is purpose-built to help enterprises make better, faster decisions. A new type of engine drives it. Streamlining the entire analysis workflow. One platform for all data, any person, and any analytics needs. This is the future for intelligent decisions. This new platform combines data preparation, data science, and business analytics into one integrated platform. Streamline all aspects of decision-making. Everything from discovery to publishing to modeling is interconnected (and easy-to-use). It can be run at hyper-scale to support any data-driven decision. Advanced data science is available for all business needs, from the C-Suite to frontline.

Visokio creates Omniscope Evo, a complete and extensible BI tool for data processing, analysis, and reporting. Smart experience on any device. You can start with any data, any format, load, edit, combine, transform it while visually exploring it. You can extract insights through ML algorithms and automate your data workflows. Omniscope is a powerful BI tool that can be used on any device. It also has a responsive UX and is mobile-friendly. You can also augment data workflows using Python / R scripts or enhance reports with any JS visualisation. Omniscope is the complete solution for data managers, scientists, analysts, and data managers. It can be used to visualize data, analyze data, and visualise it.

No-code data cleaning, preparation, and ML platform. Specialized development for business cases and on-premise setup for privacy. Sweephy's modules are free to you. Machine learning-powered, no-code tools. Simply enter the data and keywords you are looking for. The model can generate a report based upon keywords. Our model can not only check the words in the text but also classifies semantically and grammatically. Let's find similar records in your database. Sweephy Dedupu API allows you to create a unified user database using different data sources. Sweephy API allows you to easily create object detection model by finetuning existing models. Send us your use cases and we'll create the right model for you. You can use this method to classify documents, pdfs and invoices. Simply upload the image dataset. We can either remove the noise from the image or create a model that is more tailored to your business case.

The core technology that enables modern data integration and data management. Connect disparate, structured and unstructured data sources quickly. Catalog your entire data ecosystem. The data is kept in the source and can be accessed whenever needed. Adapt data models to the consumer's needs, even if they come from multiple sources. Your back-end technologies can be hidden from end users. You can secure the virtual model and use it to consume standard SQL and other formats such as SOAP, REST, SOAP, and OData. Access to all types data is easy. Data integration and data modeling capabilities are available. Active Data Catalog and self service capabilities for data and metadata discovery and preparation. Full data security and governance capabilities. Data queries executed quickly and intelligently. Real-time data delivery in all formats. Data marketplaces can be created. Data-driven strategies can be made easier by separating business applications and data systems.

MassFeeds is a data preparation tool that is highly specialized. It can quickly and automatically prepare data from multiple sources and formats. It creates automated data pipelines to speed up the data preparation process for your marketing mix model. Organizations cannot expect to scale heavy manual data preparation processes as data is constantly being created and gathered at an increasing rate. MassFeeds helps clients prepare data from multiple sources and present it in a seamless, automated and easy-to-tweak way. Data is organized into a standard format that can be easily ingested for modeling. Avoid human error by avoiding manual data preparation. Data processing should be accessible to a wider range of users. Automating repetitive tasks can save you more than 40% on processing time

Finance teams can use the digital work platform. Automate with drag-and-drop, powerful components. All reports can be created without the need for external IT. You can adapt to change and be more agile that your competitors. Automate processes that are unique for your company. More than 100 automations are available to manipulate files and data in every format. All of your data can be connected through APIs, SFTP, and RPA extensions. Automated data quality checking and exception reporting. You can store and process large amounts of data easily. EmbeddedBI allows you to create stunning visualizations from your data. Connectors to AI services, support for Python and R models. End-to-end automation can replace disconnected data silos. You can create all your reports in minutes so you can spend more time analysing. Processes can be paused, requested and collected data from humans. You can share data and processes with your team to reduce risk for key-persons.

Your business can quickly identify, identify, and process only the text that is relevant to it, given the volume of content. Regardless of your business's needs, operational agility and faster decisions, obtaining customer insight or more, teXai is a Forbes-recognized text analytics company that helps you use text to propel your business forward. The powerful preprocessor engine of teXai can identify and extract objects of interest from any document in your organization's emails or text messages. It can also be used to analyze tables, emails, text messages and archives. The intelligent, customizable linguistic application recognizes text genres, groups, and similar content. It creates concise summaries to help business teams get the right context from the correct text. The text analytics software extracts key elements from your text and simplifies decision-making.

Verodat, a SaaS-platform, gathers, prepares and enriches your business data, then connects it to AI Analytics tools. For results you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests for suppliers. Monitors data workflows to identify bottlenecks and resolve issues. The audit trail is generated to prove quality assurance for each data row. Validation & governance can be customized to your organization. Data preparation time is reduced by 60% allowing analysts to focus more on insights. The central KPI Dashboard provides key metrics about your data pipeline. This allows you to identify bottlenecks and resolve issues, as well as improve performance. The flexible rules engine allows you to create validation and testing that suits your organization's requirements. It's easy to integrate your existing tools with the out-of-the box connections to Snowflake and Azure.

Stata is a comprehensive, integrated software package that can handle all aspects of data science: data manipulation, visualization and statistics, as well as automated reporting. Stata is quick and accurate. The extensive graphical interface makes it easy to use, but is also fully programable. Stata's menus, dialogs and buttons give you the best of both worlds. All Stata's data management, statistical, and graphical features are easy to access by dragging and dropping or point-and-click. To quickly execute commands, you can use Stata's intuitive command syntax. You can log all actions and results, regardless of whether you use the menus or dialogs. This will ensure reproducibility and integrity in your analysis. Stata also offers complete command-line programming and programming capabilities, including a full matrix language. All the commands that Stata ships with are available to you, whether you want to create new Stata commands or script your analysis.

Amazon SageMaker Studio (IDE) is an integrated development environment that allows you to access purpose-built tools to execute all steps of machine learning (ML). This includes preparing data, building, training and deploying your models. It can improve data science team productivity up to 10x. Quickly upload data, create notebooks, tune models, adjust experiments, collaborate within your organization, and then deploy models to production without leaving SageMaker Studio. All ML development tasks can be performed in one web-based interface, including preparing raw data and monitoring ML models. You can quickly move between the various stages of the ML development lifecycle to fine-tune models. SageMaker Studio allows you to replay training experiments, tune model features, and other inputs, and then compare the results.

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.

Easy management, deployment and monitoring of machine learning models for supercharging MLOps. Available for all organizations on the best AI platform. You can use navio for various machine learning operations across your entire artificial intelligence landscape. Machine learning can be integrated into your business workflow to make a tangible, measurable impact on your business. navio offers various Machine Learning Operations (MLOps), which can be used to support you from the initial model development phase to the production run of your model. Automatically create REST endspoints and keep track the clients or machines that interact with your model. To get the best results, you should focus on exploring and training your models. You can also stop wasting time and resources setting up infrastructure. Let navio manage all aspects of product ionization so you can go live quickly with your machine-learning models.

An end-to-end solution gives you all the tools your data science team needs to scale your machine learning development, from research to production. cnvrg.io, the world's leading data science platform for MLOps (model management) is a leader in creating cutting-edge machine-learning development solutions that allow you to build high-impact models in half the time. In a collaborative and clear machine learning management environment, bridge science and engineering teams. Use interactive workspaces, dashboards and model repositories to communicate and reproduce results. You should be less concerned about technical complexity and more focused on creating high-impact ML models. The Cnvrg.io container based infrastructure simplifies engineering heavy tasks such as tracking, monitoring and configuration, compute resource management, server infrastructure, feature extraction, model deployment, and serving infrastructure.

Daria's advanced automated features enable users to quickly and easily create predictive models. This significantly reduces the time and effort required to build them. Eliminate technological and financial barriers to building AI systems from scratch for businesses. Automated machine learning for data professionals can streamline and speed up workflows, reducing the amount of iterative work required. An intuitive GUI for data science beginners gives you hands-on experience with machine learning. Daria offers various data transformation functions that allow you to quickly create multiple feature sets. Daria automatically searches through millions of combinations of algorithms, modeling techniques, and hyperparameters in order to find the best predictive model. Daria's RESTful API allows you to deploy predictive models directly into production.

Cloud AutoML is a set of machine learning products that allows developers with limited machine-learning expertise to create high-quality models tailored to their business needs. It uses Google's state of the art neural architecture and transfer learning search technology. Cloud AutoML uses more than 10 years' of Google Research technology to help machine learning models achieve faster performance, better predictions, and more accurate predictions. Cloud AutoML's graphical user interface makes it easy to build, evaluate, improve, deploy, and test models based upon your data. Only a few clicks away is your custom machine learning model. Google's human-labeling service can assign a team to clean and annotate your labels. This will ensure that your models are trained with high-quality data.

Declarative machine-learning systems offer the best combination of flexibility and simplicity, allowing for the fastest way to implement state-of-the art models. The system works by asking users to specify the "what" and then the system will figure out the "how". Start with smart defaults and iterate down to the code level on parameters. With Ludwig at Uber, and Overton from Apple, our team pioneered declarative machine-learning systems in industry. You can choose from our pre-built data connectors to support your databases, data warehouses and lakehouses as well as object storage. You can train state-of the-art deep learning models without having to manage infrastructure. Automated Machine Learning achieves the right balance between flexibility and control in a declarative manner. You can train and deploy models quickly using a declarative approach.

Our platforms are a solid foundation for custom machine learning and artificial Intelligence solutions. Build next-best-action applications that learn, adapt, and optimize using reinforcement-learning based algorithms. Custom, continuously-improving deep learning vision models to solve your unique challenges. Forecasts that are up-to-date will help you predict the future. Cloud-based tools that monitor and analyze cloud data will help you make better decisions for your company. Experienced data scientists and engineers face a challenge in transforming a machine learning application from research and ad hoc code to a robust, scalable platform. With a comprehensive suite of tools to manage and deploy your machine learning applications, Strong ML makes this easier.

Our clients use visual AI to solve real-world business challenges. Our skilled team of data scientists and machine-learning engineers will quickly train and deliver machine learning models that are highly accurate and precise for visual data. IceCream Labs, the leader in enterprise AI solutions, is a great choice. IceCream Labs offers solutions for retail, digital media, and higher education. The company's expertise lies in the development of machine learning and deep-learning models to solve real business problems using text and image data. IceCream Labs is a good choice if you have visual data such as images, videos and documents. We can help you identify what is in an image or document. IceCream Labs can help you quickly train and deploy machine learning models. Get sales performance improvements across all product lines by talking to our AI experts.

Machine teaching that is highly efficient An annotation tool powered with active learning. Prodigy is a scriptable tool that allows data scientists to do annotations themselves. This allows for a new level in rapid iteration. Transfer learning technologies allow you to train production-quality models using very few examples. Prodigy allows you to take full advantage modern machine learning by using a more agile approach for data collection. You'll be more productive, more independent, and deliver more successful projects. Prodigy combines state-of-the art insights from machine learning with user experience. You are only required to annotate examples that the model doesn't already know. The web application is flexible, powerful, and follows modern UX principles. It's simple to understand: it's designed for you to focus on one decision at the time and keep you clicking, much like Tinder for data.

Datatron provides tools and features that are built from scratch to help you make machine learning in production a reality. Many teams realize that there is more to deploying models than just the manual task. Datatron provides a single platform that manages all your ML, AI and Data Science models in production. We can help you automate, optimize and accelerate your ML model production to ensure they run smoothly and efficiently. Data Scientists can use a variety frameworks to create the best models. We support any framework you use to build a model (e.g. TensorFlow and H2O, Scikit-Learn and SAS are supported. Explore models that were created and uploaded by your data scientists, all from one central repository. In just a few clicks, you can create scalable model deployments. You can deploy models using any language or framework. Your model performance will help you make better decisions.