Search results for Hanase

Neudata’s Software as a Service (SaaS) catalogue of 6,900+ alternative dataset reports allows you to easily discover, manage and compare data. Our core philosophy is simple — we catalogue and assess datasets based on over 100 unique factors and deliver metadata reports & advice for a fee. We don’t buy data, sell data, or require revenue-shares or commissions from the data vendors that we catalogue. That means you get unbiased intelligence that’s tailored to your specific research goals and strategies. Neudata users are also able to leverage insights from our research experts based in London, New York and Shanghai.

SpeedChecker is a comprehensive solution designed to enhance internet infrastructure by providing detailed insights into network performance through crowdsourced Quality of Service (QoS) and Quality of Experience (QoE) data. By collecting and analyzing billions of data points from over 170 countries, SpeedChecker empowers Mobile Network Operators (MNOs), Internet Service Providers (ISPs), and telecom regulators to optimize their services and ensure better connectivity for users worldwide. Key Features and Functionality: - Crowdsourced Data Collection: Utilizes passive and active measurement technologies to gather real-world end-user experience data, offering a comprehensive view of network performance. - Global Reach: Operates in more than 170 countries, processing billions of data points to provide extensive coverage and insights. - Customizable Solutions: Offers white-label applications and tools tailored for regulators, mobile operators, and fixed operators, enabling them to address specific network challenges and improve service quality. - Diverse Product Suite: Includes speed test datasets, cellular coverage datasets, crowdsourcing systems, speed test SDKs, and light drive test applications, catering to various needs within the telecom sector. Primary Value and User Solutions: SpeedChecker addresses the critical need for accurate, real-time network performance data, enabling stakeholders to: - Enhance Service Quality: By identifying and resolving network issues, operators can improve user satisfaction and reduce churn rates. - Optimize Infrastructure: Provides actionable insights that assist in the strategic planning and deployment of network resources. - Regulatory Compliance: Assists regulators in monitoring and ensuring compliance with service quality standards, promoting fair competition and consumer protection. By leveraging SpeedChecker's solutions, telecom entities can make informed decisions to enhance their services, leading to a more reliable and accessible internet experience for all users.

Predictly Tech Labs aims to enhance the usage and adoption of Artificial Intelligence technologies into different industries to experience its benefits in their products and services. For this reason, Predictly provides various kinds of services to their clients, such as data annotation, datasets, Pre-trained models, AI-transformation services.

DataSecure365 helps businesses prepare for SOC 2 by bringing security controls, evidence, tasks and readiness work into a shared workspace. The team supports customers through assessment, remediation and audit preparation, working with an independent CPA firm network for SOC 2 examinations. Book a discovery call at https://calendly.com/datasecure365-info/discovery-call-with-datasecure365.

Brand Analytics is a Social Media Monitoring and Analysis System. - Data acquisition from all sources, namely social networking sites, video hostings, map services, public channels and messenger chats, review websites, forums, blogs, marketplaces, online media, newspapers, magazines and federal channels. - All types of messages and data: message text, recognized picture texts, video transcripts, check-ins, stories. - High number of metrics and message attributes, coupled with configurable data-segmentation system, makes it possible to solve a widest range of problems, from reputation control and real-time marketing to in-depth research. - Automatic recognition of mentions sentiment with 85-90% accuracy. Machine-learning algorithms categorize messages, identify media-space trends, aggression, recognize texts in images, etc. - Configurable alert messages via mobile app, Telegram or email. - High level of automation for quick analytics: automated tagging, trend detection, personalized reports, filtration of various kinds of spam and irrelevant messages. - Simple and user-friendly interface makes preparing most complex analytic reports possible in minimal time - Monitoring mentions by geo-tags and check-ins Sources - Social networking sites: VK.com,OK.ru, Instagram,Facebook, Twitter, YouTube, etc. - Blogs, forums, review websites - Telegram channels and public chats - Mass media - 40K sources

Hanseforce GmbH is a specialized consulting firm dedicated to guiding service-oriented businesses through digital transformation by leveraging Salesforce technologies. Established in 2014 and headquartered in Hamburg, Germany, Hanseforce emphasizes trust and client success, offering tailored solutions that bridge the gap between business objectives, personnel, and technology. Key Features and Functionality: - Comprehensive Digital Solutions: Hanseforce provides end-to-end digitalization and automation services across all critical business processes, with a strong focus on sectors such as Professional Services, Financial Services, Healthcare & Life Sciences, and Software & IT Services. - Salesforce Expertise: As a certified Salesforce Consulting Partner, Hanseforce offers specialized services in Sales Cloud, Service Cloud, Pardot, Community Cloud, and Analytics Cloud, ensuring clients receive expert guidance in implementing and optimizing these platforms. - Agile Collaboration: The company employs agile methodologies to ensure responsive and effective project execution, fostering a collaborative environment that adapts to client needs and promotes continuous improvement. Primary Value and Solutions Provided: Hanseforce GmbH addresses the challenges service-oriented businesses face in digital transformation by offering holistic solutions that integrate business goals, human resources, and technology. By systematically identifying and implementing individual potentials using the Salesforce platform, Hanseforce enables clients to achieve greater efficiency, scalability, and growth. Their commitment to quality and continuous development has earned them the TOP CONSULTANT award for eight consecutive years , underscoring their dedication to client success and excellence in consulting services.

Automaton AI is an AI software company that provides platforms for Computer Vision & ML Scientists to rapidly curate and experiment with their datasets in order to build higher performing ML & DL models.

Azure SQL Server Stretch Database was a feature introduced in SQL Server 2016 that allowed organizations to dynamically extend their on-premises databases to Azure, enabling seamless access to both hot and cold data without significant changes to existing applications. This capability provided virtually unlimited storage and compute capacity, facilitating efficient management of large datasets. Key Features and Functionality: - Dynamic Data Stretching: Automatically migrate cold or infrequently accessed data from on-premises SQL Server databases to Azure, while keeping hot data on-premises for optimal performance. - Transparent Query Processing: Execute queries across both on-premises and Azure-stored data without modifying existing applications, as the process is transparent to users. - Integrated Security: Utilize Always Encrypted technology to ensure that sensitive data is encrypted before being transferred to Azure, with encryption keys remaining on-premises. - Scalability: Leverage Azure's scalable storage and compute resources to manage growing data volumes without the need for significant infrastructure investments. Primary Value and User Solutions: Azure SQL Server Stretch Database addressed the challenges of managing large and growing datasets by providing a cost-effective solution for archiving cold data without compromising accessibility. It enabled organizations to maintain compliance with data retention policies and regulatory requirements by keeping data online and readily available. By offloading cold data to Azure, businesses could optimize on-premises storage and compute resources, leading to improved performance and reduced maintenance costs. However, it's important to note that Microsoft announced the deprecation of the SQL Server Stretch Database feature in SQL Server 2022, with the supporting Azure service retired as of July 9, 2024. Organizations are advised to explore alternative solutions for managing cold data, such as utilizing the CREATE EXTERNAL TABLE AS SELECT (CETaS) feature in SQL Server 2022, which allows archiving data to Azure Storage in Parquet format for cost-effective storage and analytics.

The Parallel Task API, developed by Parallel Web Systems, is a sophisticated solution designed to automate complex web research and reasoning tasks. By harnessing advanced AI and real-time web data, it enables enterprises to build AI-native applications, generate custom datasets, and replace manual workflows with efficient, scalable automation. Users can define the specific information they require, and the API's intelligent querying system retrieves structured, precise web intelligence, transforming web data into actionable insights. Key Features and Functionality: - Declarative Querying: Users specify the desired data, and the API autonomously locates and organizes accurate web intelligence. - Automation of Complex Tasks: Streamlines processes such as market research, compliance monitoring, CRM updates, and competitive intelligence by automating intricate web research tasks. - Structured Outputs: Delivers high-quality, structured web data optimized for accuracy and relevance. - Scalability: Designed to handle tasks of varying complexity, from simple data enrichment to extensive web research projects. - Transparent Pricing: Offers a clear, usage-based pricing model, charging a flat rate per query, ensuring consistent value across different research tasks. Primary Value and User Solutions: The Parallel Task API addresses the challenge of efficiently extracting and utilizing web data for business intelligence. By automating the retrieval and structuring of web information, it empowers businesses to: - Enhance Decision-Making: Access to accurate, real-time web data supports informed strategic decisions. - Save Time and Resources: Reduces the need for manual research, allowing teams to focus on higher-value activities. - Drive Innovation: Facilitates the development of AI-driven applications and workflows, accelerating innovation within the organization. In summary, the Parallel Task API offers a powerful tool for enterprises seeking to leverage web data through automation, providing structured insights that drive smarter decisions and operational efficiency.

Built on Atlassian’s Jira, Jira Service Desk delivers an effortless service experience, adapts to your needs, with set up time and pricing at a fraction of competitors.

People For AI is a French data labelling company. We process your data to obtain high-quality training data your computer vision, NLP or speech recognition algorithms. It is very simple, while you focus on algorithms, we focus on delivering the labelled dataset you need. As we only hired long-term labellers, we specialised in high-value data annotation, however we can manage any kind of projects. Check our CSR report on our website to know more about our labelers !

Snorkel AI offers a data-centric AI platform designed to accelerate the development of machine learning models by automating the data labeling process. By leveraging programmatic labeling techniques, Snorkel AI enables organizations to create high-quality, specialized datasets efficiently, reducing the time and effort traditionally required for manual data annotation. This approach facilitates rapid iteration and adaptation of AI models, ensuring they remain effective as data and business needs evolve. Key Features and Functionality: - Programmatic Data Labeling: Automates the data annotation process, allowing users to generate labeled datasets quickly and accurately. - Expert Data-as-a-Service: Provides curated, high-quality training and evaluation datasets tailored to specific customer requirements. - Integrated Model Development: Offers tools for training, evaluating, and fine-tuning machine learning models within the platform. - Collaborative Platform: Facilitates seamless collaboration between data scientists and domain experts through user-friendly interfaces and workflows. - Flexible Deployment: Supports various deployment options, including private cloud, public cloud, and on-premises, ensuring compatibility with existing infrastructure. Primary Value and Problem Solved: Snorkel AI addresses the significant bottleneck in AI development caused by the time-consuming and labor-intensive process of manual data labeling. By automating this process through programmatic labeling, the platform enables organizations to develop and deploy AI applications 10 to 100 times faster than traditional methods. This efficiency allows businesses to harness the power of AI more effectively, adapting quickly to changing data and market conditions while maintaining high model accuracy and performance.

Helping businesses become data-driven by offering easy access to a variety of high-quality and comprehensive datasets.

VPC Service Controls allow users to define a security perimeter around Google Cloud Platform resources such as Cloud Storage buckets, Bigtable instances, and BigQuery datasets to constrain data within a VPC and help mitigate data exfiltration risks. With VPC Service Controls, enterprises can keep their sensitive data private as they take advantage of the fully managed storage and data processing capabilities of Google Cloud Platform.

DataSense Data Protection is a centrally managed system that scans for sensitive data such as social security numbers for data at rest. DataSense Data Protection can take an inventory of the sensitive data that is lurking in your network and databases, and alert you which servers are the culprits.

Hanami8 Apps, S.L. is a Spanish technology company specializing in the design, development, integration, and maintenance of enterprise management systems. As a certified Gold Partner of SAP, Hanami8 focuses on implementing SAP Business One, a comprehensive ERP solution tailored for small and medium-sized enterprises. In addition to SAP Business One, Hanami8 develops proprietary AddOns that enhance and extend the ERP's functionality, including solutions for warehouse management , point-of-sale systems, e-commerce platforms, and mobile applications. Key Features and Functionality: - SAP Business One Implementation: Comprehensive deployment and support of SAP's ERP system, facilitating seamless integration of business processes. - Custom AddOns Development: Creation of specialized modules such as warehouse management systems , point-of-sale solutions, e-commerce platforms, and mobile applications, all designed to integrate smoothly with SAP Business One. - Consulting and Support Services: Offering expert consulting, implementation, and ongoing support to ensure optimal performance and alignment with business objectives. Primary Value and Solutions Provided: Hanami8 Apps, S.L. delivers tailored enterprise management solutions that streamline operations, enhance efficiency, and support the digital transformation of small and medium-sized businesses. By integrating SAP Business One with custom-developed AddOns, Hanami8 addresses specific industry needs, enabling clients to optimize their processes, improve decision-making, and achieve a competitive edge in their respective markets.

Datafold is a proactive data observability platform that prevents data outages by proactively stopping data quality issues before they get into production. The platform comes with four unique features that reduce the number of data quality incidents that make it into production by 10x. - Data Diff: 1-click regression testing for ETL that saves you hours of manual testing. Know the impact of each code change with automatic regression testing across billions of rows. - Column-level lineage: using SQL files and metadata from the data warehouse, Datafold constructs a global dependency graph for all your data, from events to BI reports that help you reduce incident response time, prevent breaking changes, and optimize your infrastructure. - Data Catalog: Datafold saves hours spent on trying to understand data. Find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidations of metadata in one place. - Alerting: Be the first one to know with Datafold's automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds.

The World's First Identity-as-a-Container (IDaaC) Platform. Docker Container Cloud-Independent Identity Management for Everyone.

Limadata is a comprehensive data management platform designed to streamline the collection, analysis, and visualization of complex datasets. It empowers organizations to make data-driven decisions by providing intuitive tools for data integration, cleansing, and reporting. With Limadata, users can efficiently manage large volumes of data, ensuring accuracy and consistency across various sources. Key Features and Functionality: - Data Integration: Seamlessly connect and consolidate data from multiple sources, including databases, cloud services, and APIs. - Data Cleansing: Automatically detect and correct errors, inconsistencies, and duplicates to maintain data quality. - Advanced Analytics: Utilize built-in analytical tools to uncover insights, trends, and patterns within datasets. - Customizable Dashboards: Create interactive dashboards and reports tailored to specific business needs. - Collaboration Tools: Share data and insights securely with team members, facilitating collaborative decision-making. - Scalability: Handle large datasets efficiently, accommodating the growing data needs of organizations. Primary Value and Solutions Provided: Limadata addresses the challenges of managing and interpreting vast amounts of data by offering a unified platform that simplifies data processes. It enables businesses to harness the full potential of their data, leading to informed strategic decisions, improved operational efficiency, and a competitive edge in the market. By ensuring data accuracy and providing powerful analytical tools, Limadata helps organizations transform raw data into actionable insights.

Weka is a machine learning algorithms for data mining tasks that can either be applied directly to a dataset or called from own Java code, it contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization and well-suited for developing new machine learning schemes.