Alternatives to Petuum

BigBI allows data specialists to create their own powerful Big Data pipelines interactively and efficiently, without coding! BigBI unleashes Apache Spark's power, enabling: Scalable processing of Big Data (upto 100X faster). Integration of traditional data (SQL and batch files) with new data Sources include semi-structured data (JSON, NoSQL DBs and Hadoop) as well as unstructured data (text, audio, video). Integration of streaming data and cloud data, AI/ML graphs & graphs

DataSet retains live, searchable real-time insights. DataSet can host or manage low-cost, S3 storage for customers. Incorporate structured, semistructured, and nonstructured data faster than before. No data schema is required to create a limitless enterprise infrastructure that can be used for live data queries, insights, analytics, and retention. The technology of choice among engineering, DevOps and IT teams to unlock data's power. A patented parallel processing technology delivers sub-second query response times. Make better business decisions by working faster and smarter. Ingest hundreds terabytes of data with ease. No need to rebalance nodes, manage storage, or reallocate resources. Scale in an infinitely flexible platform. A cloud-native architecture that is efficient minimizes costs and maximizes output. Profit from a cost-model that is predictable and delivers unmatched performance.

Interactive visual interfaces allow you to analyze your structured, semi-structured, and unstructured data and gain valuable business insight. Interactive dashboards that are personalized provide rich insight into data. You can organize and retrieve collections based on user preferences and permissions. Comment on datasets and share them for public or private view. Visually create informative charts and maps that are dynamically created.

KlearStack automates invoice processing without the need for templates and eliminates the tedious task of manually entering unstructured documents. Our mission is to automate tedious manual processes and tedious data entry so that humans can be freed up for more creative and intelligent tasks. Organizations can use unstructured data to gain competitive advantage. This is done by unlocking the useful information in semi-structured and unstructured documents. KlearStack's AI provides the best solutions to automate these processes that involve unstructured data. Invoice Automation Automate your Purchase Order Receipt Capture Consumer Durable Loans Multi-Vendor Trade Finance Process Automation Two-wheeler Loan Automation Autonomous Loan Process for Used Cars Our proprietary template-less AI/ML technology means that you no longer need to spend hundreds of hours designing and maintaining templates. Increase productivity by up to 200

Make smarter, faster and more informed decisions Enterprise Document Intelligence Platform turns data into actionable insights. Our platform is a combination of cognitive Machine Learning and Natural Language Processing algorithms that automatically classify, extract and enrich relevant information from your documents. The solution is provided as a service to reduce ownership costs and speed up time to value. How it works CLASSIFY. Ingest structured, semistructured, and unstructured documents. Identify and classify documents using semantic understanding of language and visual cues. Extract. Extracts words, phrases, and sections from printed, handwritten, or tabular data. Detects the presence or absence of a page annotation or signature. You can easily review the extracted data and make corrections. AI uses human corrections for learning and improvement. Enrich. Enrich.

Advanced programming skills are required to create a topic model. This knowledge is costly and takes precedence over the most important knowledge: your data. It is tedious, expensive, and slow to label your own training data. It is quicker and cheaper to rent it out to workers at a low salary, but it compromises accuracy as well as nuance. Either way, you'll be stuck with a rigid taxonomy that is difficult to evolve. It's time for us to stop tagging. Free access to subject matter experts to help model and analyze their data. There are mountains of text data that can be mined for insights. Pienso is here for you. Pienso can be used to train models using your data because that is what we know works best. Pienso can help you understand your data, no matter how structured or unstructured it is.

LlamaIndex, a "dataframework", is designed to help you create LLM apps. Connect semi-structured API data like Slack or Salesforce. LlamaIndex provides a flexible and simple data framework to connect custom data sources with large language models. LlamaIndex is a powerful tool to enhance your LLM applications. Connect your existing data formats and sources (APIs, PDFs, documents, SQL etc.). Use with a large-scale language model application. Store and index data for different uses. Integrate downstream vector stores and database providers. LlamaIndex is a query interface which accepts any input prompts over your data, and returns a knowledge augmented response. Connect unstructured data sources, such as PDFs, raw text files and images. Integrate structured data sources such as Excel, SQL etc. It provides ways to structure data (indices, charts) so that it can be used with LLMs.

CADfix is the most popular software solution for CAD model translation and repair, healing, defeaturing, simplification. CADfix addresses the ever-present problem of 3D model data exchange between engineering applications. It removes the barriers that prevent solid models from being reused in design, analysis, or manufacturing systems. CADfix solves some of the most difficult 3D geometry problems in the industry. ITI works closely alongside customers to develop cutting-edge geometry processing technology that will make engineering processes more efficient. Check out the following applications to see how CADfix can meet the needs of today's top engineering companies.

A data lake is a central repository for big data and AI computing. It allows you to store both structured and unstructured data at any size. Data Lake Formation (DLF), is a key component in the cloud-native database lake framework. DLF is a simple way to create a cloud-native database lake. It integrates seamlessly with a variety compute engines. You can manage metadata in data lakes in an centralized manner and control enterprise class permissions. It can systematically collect structured, semi-structured and unstructured data, and supports massive data storage. This architecture separates storage and computing. This allows you to plan resources on demand and at low costs. This increases data processing efficiency to meet rapidly changing business needs. DLF can automatically detect and collect metadata from multiple engines. It can also manage the metadata in a central manner to resolve data silo problems.

BDB is a modern data analysis and BI platform that can dig deep into your data to uncover actionable insights. It can be deployed on-premise or in the cloud. Our unique microservices-based architecture includes elements such as Data Preparation and Predictive, Pipeline, Dashboard designer, and Pipeline. This allows us to offer customized solutions and scalable analysis to different industries. BDB's NLP-based search allows users to access the data power on desktop, tablet, and mobile. BDB is equipped with many data connectors that allow it to connect to a variety of data sources, apps, third-party API's, IoT and social media. It works in real-time. It allows you to connect to RDBMS and Big data, FTP/ SFTP Server flat files, web services, and FTP/ SFTP Server. You can manage unstructured, semi-structured, and structured data. Get started on your journey to advanced analysis today.

Your team can deliver AI-based business solutions efficiently at scale. Machine learning that is cloud-based, comprehensive and no-code. Accelerate team production. Capture actionable insights efficiently. Use your data to predict and optimize behavior. Rapidly scale models and put them into production. Gurobi Optimizer makes it possible to tackle the most difficult problems. LityxIQ, a powerful and easy-to-use AutoML platform for all your team members, was created by data scientists. It is a cloud-based SaaS that integrates seamlessly with your existing tools, including data lakes, data warehouses, and source data platforms. It also integrates easily with leading visualization tools, as well as other systems, data lakes, data warehouses, and other systems. You can tackle even the most difficult analytics jobs thanks to the world's fastest solution provider. Our Solution Accelerators capability improves efficiency and reduces time to value.

80% of enterprise information is in formats that are difficult to use, such as HTML, PDFs, CSVs, PNGs, PPTXs, and others. Unstructured extracts and transforms data in a way that is compatible with all major vector databases and LLM frameworks. Unstructured allows data analysts to pre-process large amounts of data, so they can spend less time cleaning and collecting data and more time modeling. Our enterprise-grade connectors can capture data from anywhere, and then transform it into AI friendly JSON files. This is perfect for companies that are looking to integrate AI into their business. Unstructured delivers data that is curated, free of artifacts and, most importantly, LLM ready.

While data volume is increasing, not all data is equal in value. Cloud data management allows forward-thinking companies to reduce the cost of managing their enterprise data while still ensuring compliance, security, and easy access. While content loses value over time, organizations can still monetize less current data using modern SaaS-based solutions. SOLIXCloud offers all the capabilities necessary to strike the perfect balance between historical data management and current data management. SOLIXCloud provides a fully managed service that manages all enterprise data. It offers compliance features for structured, unstructured and semi-structured data. Solix metadata management provides an end-to-end solution to search all enterprise metadata and lineage using a centralized repository.

IBM Streams analyzes a wide range of streaming data, including unstructured text, video and audio, and geospatial and sensor data. This helps organizations to spot opportunities and risks, and make decisions in real-time.

Data integration is a key element in digital transformation. Digital transformation is incomplete without data movement and transformation. Organizations must face multiple challenges - Remove silos from information systems - Fast and agile processing of growing data volumes. Also, very different types of information (structured and semi-structured). - Manage large loads and ingest data in real-time (streaming), to make the best decisions Control the infrastructure costs of data storage Stambia offers a unified solution to any type of data processing. It can be deployed on-site or in the cloud, and guarantees control and optimization of costs and data transformation.

SOLIXCloud CDP delivers cloud data management as-a-service for modern data-driven enterprises. SOLIXCloud CDP is a cloud-native opensource platform that helps companies manage all their structured, semi-structured, and unstructured data. This allows for advanced analytics, compliance, infrastructure optimization, and data security. SOLIXCloud CDP features include Solix Connect for data input, Solix Data Governance and Solix Metadata Management. This cloud-based data management framework allows you to create and run data-driven apps such as SQL data warehouse, machine intelligence, and artifitial insight. It also meets the ever-growing data management requirements such as complex data retention, consumer data privacy, and data regulation.

Business data can be found in many formats and from different sources. Many business data is not structured or semi-structured. IDP (Intelligent Document Processing), which uses AI and programmable automation (such repetitive tasks) to convert business data into usable, structured formats and for consumption by downstream system. Blox.ai uses Natural Language Processing (NLP), Computer Vision, (CV) and machine learning tools to identify, label and extract relevant data from any type. The AI then converts the extracted information into a structured format and creates a model that can be used for all types of similar documents. Blox.ai is used to reconcile data based upon business requirements and push the output to downstream system automatically.

SiMX TextConverter, a powerful yet simple-to-use software tool that extracts and mines data from a variety of structured, semi-structured, and unstructured data sources, is available. It offers both the best of both worlds, a user-friendly interface that is intuitive for those with limited technical skills and advanced functionality for programmers. TextConverter allows you to capture, structure, transform, and consolidate information from virtually all sources and makes it available for business analysis via flat files and relational databases. It also provides analytical reporting capabilities that allow data mining, monitoring and controlling the data processing process. TextConverter offers significant savings to customers in many industries, including financial, healthcare, and industrial. It automates the extraction, reverse engineering, and loading of data from multiple text-based reports from disparate systems.

DagsHub, a collaborative platform for data scientists and machine-learning engineers, is designed to streamline and manage their projects. It integrates code and data, experiments and models in a unified environment to facilitate efficient project management and collaboration. The user-friendly interface includes features such as dataset management, experiment tracker, model registry, data and model lineage and model registry. DagsHub integrates seamlessly with popular MLOps software, allowing users the ability to leverage their existing workflows. DagsHub improves machine learning development efficiency, transparency, and reproducibility by providing a central hub for all project elements. DagsHub, a platform for AI/ML developers, allows you to manage and collaborate with your data, models and experiments alongside your code. DagsHub is designed to handle unstructured data, such as text, images, audio files, medical imaging and binary files.

We make data for the world's most valuable companies. Innodata solves your most difficult data engineering problems using artificial intelligence and human expertise. Innodata offers the services and solutions that you need to harness digital information at scale and drive digital disruption within your industry. We secure and efficiently collect and label sensitive data. This provides ground truth that is close to 100% for AI and ML models. Our API is simple to use and ingests unstructured data, such as contracts and medical records, and generates structured XML that conforms to schemas for downstream applications and analytics. We make sure that mission-critical databases are always accurate and up-to-date.

Azure Table storage can store petabytes semi-structured data at low costs and keeps costs down. Table storage is able to scale up, unlike many cloud-based or on-premise data stores. Also, availability is not a concern. With geo-redundant storage, data can be replicated three times within one region and three times in another region hundreds of miles away. Flexible data such as web app user data, address books, device data and other metadata can be stored in table storage. You can also use table storage to build cloud applications without having to lock down the data model to specific schemas. Different rows can have different structures in the same table, so you can easily change your application and table schema without having to take it offline. Table storage embraces a strong consistency model.

The open-source ML observability Platform. From validation to production, evaluate, test, and track ML models. From tabular data up to NLP and LLM. Built for data scientists and ML Engineers. All you need to run ML systems reliably in production. Start with simple ad-hoc checks. Scale up to the full monitoring platform. All in one tool with consistent APIs and metrics. Useful, beautiful and shareable. Explore and debug a comprehensive view on data and ML models. Start in a matter of seconds. Test before shipping, validate in production, and run checks with every model update. By generating test conditions based on a reference dataset, you can skip the manual setup. Monitor all aspects of your data, models and test results. Proactively identify and resolve production model problems, ensure optimal performance and continually improve it.

DocVu.AI uses AI and ML to process large amounts of images into a well-organized set of digital documents. DocVu.AI seamlessly integrates with your existing systems. Onboarding is easy thanks to our deep-seated expertise in mortgages and preconfigured templates. DocVu.AI leverages the power of AI to transform documents into data that machines are able to process. This data transformation can be used for structured, semi-structured and unstructured data. DocVu.AI is capable of transforming long-form text, tables, signatures, handwriting, and other data into digital information. DocVu.AI can do more than just process documents. DocVu.AI's built-in architectural flexibility allows DocVu.AI the ability to address unique situations in small and large enterprises. DocVu.AI is the preferred choice of over 50 banks across the US because of its inherent flexibility and the accuracy with which DocVu.AI can process a wide range data.

The Accern No-Code NLP Platform empowers citizen data scientists to extract insights from unstructured data, minimize time to value and maximize ROI with pre-built AI/ML/NLP solutions. Recognized as the first No-Code NLP platform and industry leader with the highest accuracy scores, Accern also enables data scientists to customize end-to-end workflows that enhance existing models and enrich BI dashboards.

Etlworks is a cloud-first, all-to-any data integration platform. It scales with your business. It can connect to databases and business applications as well as structured, semi-structured and unstructured data of all types, shapes, and sizes. With an intuitive drag-and drop interface, scripting languages and SQL, you can quickly create, test and schedule complex data integration and automation scenarios. Etlworks supports real time change data capture (CDC), EDI transformations and many other data integration tasks. It works exactly as advertised.

In minutes, you can transform data into a bot. You can build, train, and publish a sophisticated bot with FAQ pages, support websites or SharePoint documents. No coding knowledge or experience is required. You can publish a bot in groups or anywhere else without writing a single line code. Pre-built chit chat datasets can be used to give your bot personality. Extract question-answer pairs using semi-structured content such as FAQ pages, support websites and Excel files. SharePoint documents, product manuals, policies, and SharePoint documents all work well. You can easily create multi-turn conversations using QnA Maker portal, or REST APIs. Your bot's usage and feedback can help you improve your ranking model. QnA Maker service can be used as a hosted model. You can choose product tiers based on your size and throughput requirements and feel secure with all components within your Azure compliance boundaries.

AudioStrip is an online tool that music producers can use to separate vocals from backing music in audio files. It is based on Artificial Intelligence (AI) and Deep Learning. It has been trained on large amounts of music to provide the best results. This allows producers to use the samples that they want without having to pay for expensive software. This website uses the Splitter + Demucs results and is intended for music producers/hobbyists to make the AI models more accessible without requiring advanced technical knowledge.

Towhee can automatically optimize your pipeline for production-ready environments by using our Python API. Towhee supports data conversion for almost 20 unstructured data types, including images, text, and 3D molecular structure. Our services include pipeline optimizations that cover everything from data decoding/encoding to model inference. This makes your pipeline execution 10x more efficient. Towhee integrates with your favorite libraries and tools, making it easy to develop. Towhee also includes a Python method-chaining API that allows you to describe custom data processing pipelines. Schemas are also supported, making it as simple as handling tabular data to process unstructured data.

With over a 15+ years of industry experience, we stand at the forefront of cloud technology, delivering cutting-edge solutions in Application Hosting, Managed Security Services, Public Cloud, and Hosted Virtual Desktops. Our dedication to innovation has garnered recognition, including the prestigious Best Outsourced Technology Provider in the CPA Practice Advisor Reader's Choice Award 2023 and the title of Most Innovative Cloud Solutions Provider in the Global Business Awards. Serving a diverse clientele of over 17,000, we thrive on overcoming challenges, devising strategies, implementing managed services, and modernizing cloud applications and infrastructure.

Learn Spreadsheets and graduate. Optimize your supply chain, manufacturing, distribution network. Generate optimal S&OP plans in minutes. Let us show PlaNet's capabilities on your data. We can provide Excel data templates. To be cost-optimal, manufacturers should regularly review the right-sizing and location of their facilities. For optimal fulfillment of demand, they should have a solid sales & operations planning process (S&OP). These complex problems cannot be solved by spreadsheet-based models. PlaNet lets you jumpfrog the optimization technology learning curve and allows you to focus on your customers. Right-sizing and rightlocating your supply chain network for strategic capacity optimizing. Manufacturing companies should periodically review whether their production assets are well-sized and located.

There are many options available for extracting data from structured or semi-structured content or documents. These include databases, websites, and paper-based forms. All of these can be easily accessed by machines using templates, predefined or custom rules. Some businesses, such as energy, healthcare, and real estate, still depend heavily on unstructured documents. These documents are difficult for machines to understand because they are inconsistent in form and layout. Axis AI is a better option, offering a revolutionary way to classify and extract information from unstructured content. Axis AI uses proprietary algorithms, including those used for Natural Language Processing (NLP), to read and extract data from sentences, paragraphs, and entire pages written in natural English.

PartiQL's SQL extensions are easy to comprehend, treat nested information as first-class citizens and compose seamlessly between each other and SQL. This allows for intuitive filtering and joining of structured, semistructured, and nested data sets. PartiQL allows unified query access to multiple data stores and formats. It does this by separating the semantics and syntax of a query and the underlying data format. It allows users to interact with data using or without a regular schema. The Apache License, Version 2.0, covers PartiQL syntax and semantics, as well as the embeddable reference, CLI, tests, test framework and tests. This allows you to freely copy, distribute and use your changes.

Artificio, an innovative automation tool created by Artificio Products Inc., is designed to revolutionize the data processing process and eliminate manual data input. This cutting-edge tool uses state-of-the art AI and machine learning models for extracting, segregating, validating, and integrating unstructured data from different sources including texts, images, and PDFs. Artificio enables businesses to unlock digital intelligence's full potential by converting unstructured data into structured data.

The Web is the world's largest public resource database. There are currently more than 100 million websites and over 80 billion pages. Every second, the number of websites increases dramatically. These webpages contain valuable information such as contact information for potential customers, prices of competitors, real-time financial information, public opinions information and word-out-mouth information. You can also find information about supply and demand, scientific periodicals and forum posts, articles, blogs, and the latest news. However, the key information is found in large HTML webpages that are structured in semi-structures. The information is difficult to gather and can only be used in a limited way.

Renowned startpoint security software products in the IRI Data Protector suite and IRI Voracity data management platform will: classify, find, and mask personally identifiable information (PII) and other "data at risk" in almost every enterprise data source and sillo today, on-premise or in the cloud. Each IRI data masking tool in the suite -- FieldShield, DarkShield or CellShield EE -- can help you comply (and prove compliance) with the CCPA, CIPSEA, FERPA, HIPAA/HITECH, PCI DSS, and SOC2 in the US, and international data privacy laws like the GDPR, KVKK, LGPD, LOPD, PDPA, PIPEDA and POPI. Co-located and compatible IRI tooling in Voracity, including IRI RowGen, can also synthesize test data from scratch, and produce referentially correct (and optionally masked) database subsets. IRI and its authorized partners around the world can help you implement fit-for-purpose compliance and breach mitigation solutions using these technologies if you need help. ​

AI teams are faced with challenges that require new technologies. These technologies are built by us. Existing data lakes and data warehouses do not work with unstructured data like text, images, or videos. AI and software development go hand in hand. Built with data scientists, ML experts, and data engineers at heart. Don't reinvent your wheel! Production is fast and cost-effective. All your data is stored by you. Your machines are used to train your models. Existing data lakes and data warehouses do not work with unstructured data like text, images, or videos. New technologies are required for AI teams. These technologies are built by us. Studio is an extension to BitBucket, GitLab, and GitHub. Register for the online SaaS version, or contact us to start an on-premise installation

Modern platform for property underwriting and loan origination that eliminates data entry, and leverages data insights at scale. Reduce loan closing times to increase loan originations. Beat your competitors with a quote that is ultra-fast and a guarantee of execution. Reduce the time it takes to quote and close deals by 80%. Transparency and compliance are improved as every data point can be easily tracked back to its source document. A comprehensive system of alerts, automated reconciliations and data consistency increases dramatically with a comprehensive system. Reduce risk by enhancing data transparency and intelligence. Access critical information in real-time and discover potential property performance issues in advance. Your employees can concentrate on making critical decisions about underwriting, rather than entering data. SpaceQuant's AI technology extracts and analyzes unstructured and semistructured data from financial documents such as rent rolls, operating statement, budgets, info memos, etc.

Archon Data Store™ is an open-source archive lakehouse platform that allows you to store, manage and gain insights from large volumes of data. Its minimal footprint and compliance features enable large-scale processing and analysis of structured and unstructured data within your organization. Archon Data Store combines data warehouses, data lakes and other features into a single platform. This unified approach eliminates silos of data, streamlining workflows in data engineering, analytics and data science. Archon Data Store ensures data integrity through metadata centralization, optimized storage, and distributed computing. Its common approach to managing data, securing it, and governing it helps you innovate faster and operate more efficiently. Archon Data Store is a single platform that archives and analyzes all of your organization's data, while providing operational efficiencies.

Graip.AI, an intelligent document processing system, uses self-learning AI technology to streamline complex workflows while reducing errors. It is a template-free platform that can recognize 100% of data in various document formats, including semi-structured and unstructured. Graip.AI, which supports over 140 languages, can also process handwritten text. It integrates seamlessly via API with business applications, enhancing accuracy and operational efficiency. The platform offers a no-code user interface, a document library that has been pre-trained, and 24/7 support to ensure a reliable and user-friendly service. Graip.AI automates document capture, classification and extraction, validation and integration. This allows organizations to make informed business decisions based on comprehensive analysis. The platform creates an automated end-toend processing flow, instead of performing repetitive enterprise tasks manually.

Data discovery, file analysis, and classification are key components of data protection. SISA Radar data classification and data discovery will protect your entire data ecosystem. You can organize and classify sensitive data according to business requirements and criticality. Contextual information is important to improve sensitive data management. Get visibility into sensitive data, both structured and semi-structured. Data security is important to protect against unauthorized access. Respect privacy regulations such as PCI DSS, GDPR and CCPA. Next-generation data security can be scalable and sustainable. One platform to identify, contextualize and discover sensitive data. A proprietary algorithm for data discovery that identifies and contextualizes sensitive data faster and with lower false positives.

Protect data at scale using a multicloud, hybrid, enterprise-class security solution for all types of data. Extend the data security across hybrid, multicloud and on-premises environments. Discover and classify unstructured, semi-structured & structured data. Prioritize data risks for incident context as well as additional data capabilities. Centralize data management via a single data service or dashboard. Protect data from exposure and avoid breaches. Simplify data-centric compliance, governance, and security. Unify the view to gain insight into at-risk data, users and data. Monitor Zero Trust and policy enforcement. Automated workflows and automation can save you time and money. Support for hundreds file shares and data repositories, including public, datacenter, and third-party cloud service. Cover your immediate needs and future integrations, as you transform or extend cloud use cases.

Imperva Sonar protects the most important things. Security analytics continuously learns from thousands of environments to automatically protect the most critical workloads for your customers' success. With a unified security platform, you can achieve more at a lower cost by using the best-of-breed data, edge, and application security solutions. Analyze activity starting at websites and APIs, through your applications, to its end at structured, semistructured, or unstructured data storage. Automation allows you to respond quickly enough to prevent new attacks and zero-day exploits. Application security and data alone are not sufficient to stop multi-stage attacks. Imperva Sonar uses analytics for protection of the most critical. All-in-one protection for databases and applications against automated and insider attacks.

IBM Guardium Data Protection supports the zero-trust approach to security. It detects and classifies sensitive information from across the enterprise. It also provides real-time data monitoring and advanced user behaviour analytics to help uncover unusual activity around sensitive information. Guardium Data Protection has a scalable architecture that provides full visibility of structured, semistructured, and unstructured data across all major data repositories, whether they are stored on-premises, on private or public cloud, or in containers. You can set up access policies, monitor the user's access to protected data, and discover, investigate, and remediate threats and vulnerabilities in real-time across your data environment.

Documents are an integral part of almost all industries. The majority of these industries that rely on documents are moving towards digital transformation. The real problem is the processing structure of complex, unstructured or semi-structured documents as well as Invoices. DOCBrains can automatically retrieve files from many sources (Dropbox Google Drive, Network Drive and email attachments), or upload your business documents through a secured encrypted environment to the bot. It is a best practice for our document processor engine to ensure that all relevant data is taken into consideration for further processing using various OCR, ICR and AI algorithms. Document processing is fast, efficient, and accurate with 100% accuracy. The system is composed of three steps: data extraction, validation, and export for further processing.

Foundational.AI offers the expertise and tools that enable companies to maximize the benefits of large generative models and address their drawbacks.

IBM InfoSphere®, Information Governance Catalog is a web-based application that allows you to search, understand, and analyze information. You can create, manage, share, and even enact policies and guidelines, as well as track data lineage. Combine with IBM Watson®, Knowledge Catalog to make use of existing curated data sets, and extend your investment in the Information Governance Catalog on-premises to the cloud. A knowledge catalog lets you put your collected metadata in the hands of knowledge workers, so that data science and analytics communities have easy access to the best assets for their purposes while still adhering with enterprise governance requirements. It provides a common language and vocabulary that allows for a deeper understanding of all data assets, whether they are structured, semi-structured, or unstructured. Documents governance policies and enacts rules that help you determine how information should be stored, transformed, and moved.

What if your data had a recommendation engine? Automated data inventory was created. A searchable catalog showed user behavior. Smart recommendations were made inline by the system as you typed queries. Alation, the first enterprise-wide collaborative data catalog, makes all this possible. It's a powerful tool that dramatically increases the productivity of analysts and the accuracy of analytics. It also empowers business decision-making for everyone. Alation provides proactive recommendations to data users through applications. Google inspired us to create a simple interface that connects the language of your business with the technical schema of your data. No more is it difficult to find the data you need due to complicated semantic translations. Are you unfamiliar with the data environment and unsure which data to use in your query. Alation allows you to build your query and provides inline recommendations that indicate whether data is trustworthy.

Navigator provides rapid, location-independent answers to users, allowing them to create custom AI models that meet their individual needs. Experience innovation when technology complements human expertise. Create, manage, and watch content collaboratively with AI, co-workers and friends. Create custom AI models within minutes, not hours. Revitalize large models by streamlining training, reducing compute costs and incorporating attention steering. It seamlessly translates user interaction into manageable tasks. It chooses and executes AI models that are most appropriate for each task. The responses it delivers are in line with the user's expectations. No back doors, distributed storage and seamless inference. It uses distributed, edge-friendly technologies for lightning-fast interaction, wherever you are. Join our vibrant distributed storage eco-system to unlock access to the first watermarked universal models dataset.

IRI DarkShield uses several search techniques to find, and multiple data masking functions to de-identify, sensitive data in semi- and unstructured data sources enterprise-wide. You can use the search results to provide, remove, or fix PII simultaneously or separately to comply with GDPR data portability and erasure provisions. DarkShield jobs are configured, logged, and run from IRI Workbench or a restful RPC (web services) API to encrypt, redact, blur, etc., the PII it discovers in: * NoSQL & RDBs * PDFs * Parquet * JSON, XML & CSV * Excel & Word * BMP, DICOM, GIF, JPG & TIFF using pattern or dictionary matches, fuzzy search, named entity recognition, path filters, or image area bounding boxes. DarkShield search data can display in its own interactive dashboard, or in SIEM software analytic and visualization platforms like Datadog or Splunk ES. A Splunk Adaptive Response Framework or Phantom Playbook can also act on it. IRI DarkShield is a breakthrough in unstructured data hiding technology, speed, usability and affordability. DarkShield consolidates, multi-threads, the search, extraction and remediation of PII in multiple formats and folders on your network and in the cloud, on Windows, Linux, and macOS.

UBIAI's powerful labeling platform makes it easy to quickly train and deploy your NLP model. To train a high-performance model, it is important to preserve the layout of semi-structured text like invoices and contracts. UBIAI's OCR function combines natural language processing with computer vision. It allows you to perform NER and relation extraction on native PDF documents. You can also scan images or photos from your phone and perform classification annotation. This will significantly improve your NLP model performance. UBIAI's text annotation tool allows you to perform named entity recognition (NER), document classification, and relation extraction all from one interface. UBIAI allows you to create multiple relations in nested or overlapping entities, unlike other tools.