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Ratings and Reviews 0 Ratings
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QuaerisTailored results will be delivered to you based on your preferences, past experiences, and specific role. QuaerisAI ensures that you have access to data that is almost in real-time for all your data needs. The platform boosts your data and document management tasks by leveraging AI technology. To foster knowledge exchange and monitor progress, teams have the ability to share insights and create pinboards. Our sophisticated AI engine swiftly converts your inquiries into a format suitable for database processing within mere seconds. Just as life requires context, so does data; our intelligent AI engine analyzes your search terms, interests, roles, and historical data to rank results that encourage deeper exploration. Additionally, you can effortlessly apply filters to your search outcomes, allowing you to uncover specific details and delve into pertinent questions that arise. This seamless integration of AI not only enhances efficiency but also enriches the overall user experience.
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Google Cloud Speech-to-TextAn API driven by Google's AI capabilities enables precise transformation of spoken language into written text. This technology enhances your content with accurate captions, improves the user experience through voice-activated features, and provides valuable analysis of customer interactions that can lead to better service. Utilizing cutting-edge algorithms from Google's deep learning neural networks, this automatic speech recognition (ASR) system stands out as one of the most sophisticated available. The Speech-to-Text service supports a variety of applications, allowing for the creation, management, and customization of tailored resources. You have the flexibility to implement speech recognition solutions wherever needed, whether in the cloud via the API or on-premises with Speech-to-Text O-Prem. Additionally, it offers the ability to customize the recognition process to accommodate industry-specific jargon or uncommon vocabulary. The system also automates the conversion of spoken figures into addresses, years, and currencies. With an intuitive user interface, experimenting with your speech audio becomes a seamless process, opening up new possibilities for innovation and efficiency. This robust tool invites users to explore its capabilities and integrate them into their projects with ease.
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NetNutNetNut stands out as a premier provider of proxy services, offering an extensive range of solutions that encompass residential, static residential, mobile, and datacenter proxies, all aimed at optimizing online activities and delivering exceptional performance. With a vast network of over 85 million residential IPs available in 195 countries, NetNut empowers users to perform efficient web scraping, data collection, and maintain online privacy through rapid and dependable connections. Their innovative infrastructure ensures one-hop connectivity, which significantly reduces latency and guarantees a stable, uninterrupted user experience. Additionally, NetNut's intuitive dashboard facilitates real-time management of proxies and provides valuable usage analytics, making integration and oversight straightforward for users. Dedicated to ensuring client satisfaction, NetNut not only offers prompt and effective support but also customizes solutions to accommodate a wide range of business requirements. This commitment to quality and adaptability positions NetNut as a trusted ally for organizations looking to enhance their online capabilities.
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Google Cloud BigQueryBigQuery serves as a serverless, multicloud data warehouse that simplifies the handling of diverse data types, allowing businesses to quickly extract significant insights. As an integral part of Google’s data cloud, it facilitates seamless data integration, cost-effective and secure scaling of analytics capabilities, and features built-in business intelligence for disseminating comprehensive data insights. With an easy-to-use SQL interface, it also supports the training and deployment of machine learning models, promoting data-driven decision-making throughout organizations. Its strong performance capabilities ensure that enterprises can manage escalating data volumes with ease, adapting to the demands of expanding businesses. Furthermore, Gemini within BigQuery introduces AI-driven tools that bolster collaboration and enhance productivity, offering features like code recommendations, visual data preparation, and smart suggestions designed to boost efficiency and reduce expenses. The platform provides a unified environment that includes SQL, a notebook, and a natural language-based canvas interface, making it accessible to data professionals across various skill sets. This integrated workspace not only streamlines the entire analytics process but also empowers teams to accelerate their workflows and improve overall effectiveness. Consequently, organizations can leverage these advanced tools to stay competitive in an ever-evolving data landscape.
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DataBuckEnsuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.
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Google AI StudioGoogle AI Studio serves as an intuitive, web-based platform that simplifies the process of engaging with advanced AI technologies. It functions as an essential gateway for anyone looking to delve into the forefront of AI advancements, transforming intricate workflows into manageable tasks suitable for developers with varying expertise. The platform grants effortless access to Google's sophisticated Gemini AI models, fostering an environment ripe for collaboration and innovation in the creation of next-generation applications. Equipped with tools that enhance prompt creation and model interaction, developers are empowered to swiftly refine and integrate sophisticated AI features into their work. Its versatility ensures that a broad spectrum of use cases and AI solutions can be explored without being hindered by technical challenges. Additionally, Google AI Studio transcends mere experimentation by promoting a thorough understanding of model dynamics, enabling users to optimize and elevate AI effectiveness. By offering a holistic suite of capabilities, this platform not only unlocks the vast potential of AI but also drives progress and boosts productivity across diverse sectors by simplifying the development process. Ultimately, it allows users to concentrate on crafting meaningful solutions, accelerating their journey from concept to execution.
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ThinkAutomationDevelop automation solutions tailored to your business needs with ThinkAutomation, which offers a versatile studio for crafting any required automated workflow. This platform provides the freedom to create without limitations on volume and eliminates the need to pay for each individual process, license, or robotic implementation. With such flexibility, you can streamline operations and enhance efficiency seamlessly.
What is OpenText Unstructured Data Analytics?
OpenTextâ„¢ offers Unstructured Data Analytics Products that harness the power of AI and machine learning to assist organizations in uncovering and utilizing vital insights concealed within various forms of unstructured data, including text, audio, videos, and images. By enabling organizations to connect data at scale, they can gain a clearer understanding of the context and content embedded in rapidly growing unstructured content. The platform provides unified analytics for text, speech, and video across more than 1,500 data formats, facilitating the extraction of insights from diverse media types. Utilizing technologies like OCR, natural language processing, and other advanced AI models allows organizations to monitor and interpret the essence of unstructured data effectively. Additionally, leveraging cutting-edge innovations in deep neural networks and machine learning enables a deeper comprehension of both spoken and written language found within the data, ultimately leading to the discovery of even greater insights. This comprehensive approach not only enhances data understanding but also empowers organizations to make more informed decisions based on the valuable information extracted from their unstructured data.
What is Iris.ai?
At Iris.ai, we have dedicated the past six years to developing an award-winning AI engine that excels in comprehending scientific texts. Our state-of-the-art algorithms for text similarity, extraction of tabular data, learning domain-specific entity representations, and entity disambiguation and linking rank among the finest globally. Additionally, our machine constructs an extensive knowledge graph that encompasses all entities and their interconnections, enabling users to learn from it, utilize it, and also provide feedback to enhance the system further.
The Iris.ai Researcher Workspace offers a versatile suite of tools that enables users to tackle projects from multiple perspectives. Its modules feature content-driven exploratory searches, analytical assessments of document collections, systematic extraction and organization of data points, automated summarization of various documents, and highly effective filters based on context descriptions, machine analyses, or targeted data points and entities. Furthermore, the Iris.ai engine for scientific text understanding is a robust interdisciplinary platform that can be automatically fine-tuned for specific research domains, allowing for a deeper machine comprehension without the need for human training or annotation, ultimately streamlining the research process.
Integrations Supported
Azure Marketplace
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
OpenText
Date Founded
1991
Company Location
Canada
Company Website
www.opentext.com/products/unstructured-data-analytics
Company Facts
Organization Name
Iris.ai
Date Founded
2015
Company Location
Norway
Company Website
iris.ai/
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Enterprise Search
AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Qualitative Data Analysis
Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
Categories and Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Qualitative Data Analysis
Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis