Search results for Hanase

FTK Forensic Toolkit (FTK) is a comprehensive digital investigations solution designed to facilitate efficient and thorough forensic analysis. Renowned for its speed, stability, and user-friendly interface, FTK enables investigators to process and analyze digital evidence swiftly, ensuring that critical information is uncovered and cases are resolved promptly. Key Features and Functionality: - Mobile Extraction Processing: FTK offers rapid and collaborative mobile data review capabilities. After imaging Android or iOS devices with a preferred tool, users can ingest the data into FTK for unified analysis alongside related computer evidence. - Entity Management and Social Analyzer: The software automatically identifies known aliases and reveals hidden communication patterns among device users, allowing investigators to visually pinpoint the most communicative entities and frequently used chat applications. - Advanced Multimedia Review: FTK streamlines the examination of multimedia evidence by providing advanced image and facial recognition, as well as similar face matching across datasets. This functionality reduces manual video review time by leveraging artificial intelligence to highlight key elements. - Comprehensive Reporting: Investigators can embed chats, files, emails, multimedia, and timelines directly into reports, facilitating clear and concise presentation of findings. - Timeline Analysis: FTK allows users to view evidence in a timeline format, helping to reveal patterns or events that occurred before or after key artifacts were created. Primary Value and User Solutions: FTK addresses the critical need for a reliable and efficient digital forensic tool that can handle complex investigations involving both mobile and computer data. By integrating advanced processing capabilities with intuitive analysis tools, FTK empowers law enforcement agencies, corporate security teams, and legal professionals to uncover crucial intelligence, establish connections between entities, and present findings effectively. This comprehensive approach ensures that users can conduct thorough investigations, maintain data integrity, and achieve faster case resolutions.

With Nimble's social CRM, easily manage all your contacts, communications, activities and sales in one single place.

Resilio Sync is a peer-to-peer file synchronization tool that enables users to transfer and synchronize files directly between devices without relying on cloud services. This approach ensures enhanced privacy, as data remains stored on user devices and is not uploaded to external servers. Resilio Sync is compatible with multiple platforms, including Windows, macOS, Linux, Android, iOS, and FreeBSD, making it a versatile solution for personal and professional use. Key Features and Functionality: - Direct Device-to-Device Synchronization: Utilizes peer-to-peer technology to facilitate direct file transfers between devices, eliminating the need for intermediary cloud storage. - Cross-Platform Compatibility: Supports a wide range of operating systems, including Windows, macOS, Linux, Android, iOS, and FreeBSD, ensuring seamless synchronization across different devices. - Unlimited File Size Handling: Allows synchronization of files of any size, making it suitable for transferring large media files, scientific datasets, or engineering assets. - Enhanced Privacy and Security: Data is stored locally on user devices, reducing exposure to potential breaches associated with cloud storage. - Selective Sync and Bandwidth Control: Offers features like selective synchronization of specific files or folders and the ability to control bandwidth usage, providing users with greater flexibility and control over their data transfers. Primary Value and User Solutions: Resilio Sync addresses the limitations of traditional cloud-based synchronization services by offering a decentralized, secure, and efficient method for file transfer and synchronization. By eliminating reliance on third-party servers, it provides users with complete control over their data, ensuring privacy and reducing the risk of data breaches. Its cross-platform support and ability to handle files of any size make it an ideal solution for individuals and organizations that require reliable and fast file synchronization without the constraints of cloud storage.

Apache Kylin is an open source distributed analytics engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop supporting extremely large datasets, original contributed from eBay Inc.

Megatron-LM is an advanced framework developed by NVIDIA for training large-scale transformer-based language models. It is designed to efficiently handle models with hundreds of billions of parameters by leveraging both model and data parallelism. Key Features and Functionality: - Scalability: Supports training models ranging from 2 billion to 462 billion parameters across thousands of GPUs, achieving up to 47% Model FLOP Utilization (MFU) on H100 clusters. - Parallelism Techniques: Employs tensor parallelism, pipeline parallelism, and data parallelism to distribute computations effectively, enabling efficient training of massive models. - Mixed Precision Training: Supports FP16, BF16, and FP8 mixed precision training to enhance performance and reduce memory usage. - Advanced Optimizations: Incorporates features like FlashAttention for faster attention computation and activation checkpointing to manage memory efficiently during training. - Model Support: Provides pre-configured training scripts for various models, including GPT, LLaMA, DeepSeek, and Qwen, facilitating quick experimentation and deployment. Primary Value and Problem Solving: Megatron-LM addresses the challenges associated with training extremely large language models by offering a scalable and efficient framework. Its advanced parallelism strategies and performance optimizations enable researchers and developers to train state-of-the-art models on large datasets without compromising on speed or resource utilization. This capability is crucial for advancing natural language processing applications and developing more sophisticated AI systems.

StableLM is a suite of open-source large language models (LLMs) developed by Stability AI, designed to deliver high-performance natural language processing capabilities. These models are trained on extensive datasets to support a wide range of applications, including text generation, language understanding, and conversational AI. By offering accessible and efficient language models, StableLM aims to empower developers and researchers to build innovative AI-driven solutions. Key Features and Functionality: - Open-Source Accessibility: StableLM models are freely available, allowing for broad usage and community-driven enhancements. - Scalability: The models are designed to scale across various applications, from small-scale projects to enterprise-level deployments. - Versatility: StableLM supports diverse natural language processing tasks, including text generation, summarization, and question-answering. - Performance Optimization: The models are optimized for efficiency, ensuring high performance across different hardware configurations. Primary Value and User Solutions: StableLM addresses the need for accessible, high-quality language models in the AI community. By providing open-source LLMs, it enables developers and researchers to integrate advanced language understanding and generation capabilities into their applications without the constraints of proprietary systems. This fosters innovation and accelerates the development of AI solutions across various industries.

Mockaroo is a data generator and API mocking tool helps in creating custom CSV, JSON, SQL, and Excel datasets to test and demo software.

Oz Biometry - Biometric face recognition with the highest accuracy: 99.99% in NIST FRVT. Developed by Oz Forensics specialists, the biometric module incorporates the latest practices in artificial intelligence and is consistently improved by continuous data enrichment. Face recognition algorithm from Oz Forensics achieved one of the best test results in accuracy on LFW dataset in University of Massachusetts tests in 2020 MIT LFW. The Oz Biometry module allows to identify people with a speed of less than 1 second and with 99.87% accuracy (according to MIT LFW tests). Oz Forensics Face Recognition algorithms allow: ● Detect and highlight the best shot from the video; ● Compare face from photo with face photo from ID; ● Perform a search in the biometric database.

Trusted by millions, Basecamp is a web-based project management and collaboration tool. To-dos, files, messages, schedules, milestones and more.

Zendesk for Customer Service is an AI-powered service solution that’s easy to set up, use, and scale. It offers out-of-the-box functionality that’s simple to modify, helping businesses move faster. Leveraging AI built on billions of CX interactions, Zendesk enhances the entire service experience—from self-service to agents and admins—improving efficiency at scale. Zendesk equips agents with tools, insights, and context to deliver personalized service across all channels, including social messaging, phone, and email. It unifies personalized conversations, omnichannel case management, AI workflows, automation, and a Marketplace of 1800+ apps under one platform. Zendesk QA uses AI to evaluate and improve agent performance, while Workforce Management optimizes scheduling and productivity to ensure readiness during peak times. The solution is easy to implement and adjust without needing IT or developers. Zendesk’s mission is to simplify business complexity and enable meaningful customer connections for companies of all sizes. Serving 130K+ global brands in 30+ languages, Zendesk is headquartered in San Francisco with offices worldwide.

Provides Dedicated, Cloud or seamlessly integrated environments with 24/7 management of core services including database, security, monitoring and backup

HCL Digital Experience accelerates digital content development and deployment across various web and mobile channels. This comprehensive web management system lets you create, manage and publish content for different audiences. With advanced personalization, rapid site deployment, mobile and social mobile tools, IBM Web Content Manager helps you deliver the right information to the right audience. Easy integration with multiple systems speeds up development and delivery time. Deliver and manage personalized digital experiences that are responsive, relevant and engaging.

Freshservice is an easy to use IT service desk and ITSM solution designed using ITIL best practices that enables organizations to focus on exceptional service delivery.

Kimola Cognitive is a no-code machine learning platform for marketing and research professionals to analyze & classify consumer reviews or any text data automatically. Kimola Cognitive offers the most comprehensive gallery of pre-built machine learning models. Social scientists the of Kimola Team regularly publish new models and update the training sets of existing ones. That means without hiring a data science team, companies can have and maintain ML operations. When it comes to analyzing data, Kimola is the only ML platform that provides a tool to grab consumer reviews from supported Internet mediums like Youtube, Trustpilot, Tripadvisor. This tiny browser extension allows you to create consumer review datasets, which we call “airsets”. Airsets are disabled for data export and only usable on Kimola Cognitive for data analysis purposes. Kimola Cognitive also supports creating custom machine learning models, host and serve on the platform via user interface and API! Kimola Cognitive is perfect for: - Customer success teams who want to detect the issues of their customers. - Customer experience teams who want to detect complaints of their customers. You can either use a pre-built model that is prepared by Team Kimola or start your own custom model to analyze complaints. - Sales Teams who want to detect opportunities to reveal consumer insights in conversations, social or e-commerce conversations, mails, chats. - Support Teams who want to understand the most frequent issues the customers are having. - AI/Analytics teams who don't want to spend months building and deploying custom ML models to process their data.

QeyMetrics (previously HardMetrics, acquired by iQor on October 29, 2012) is a cloud-based BI tool for business users to drill down and analyze business performance via interactive, browser-based dashboards

Apache Arrow is a cross-language development platform designed for in-memory data processing and efficient data interchange. It provides a standardized, language-independent columnar memory format that supports both flat and hierarchical data structures. This format is optimized for analytical operations on modern hardware, including CPUs and GPUs, facilitating high-performance data analytics and seamless integration across various data processing systems. Key Features and Functionality: - Columnar Memory Format: Arrow's in-memory columnar format is tailored for efficient analytic operations, enabling vectorized computations that leverage modern processor capabilities. - Zero-Copy Data Sharing: The platform allows for zero-copy reads, enabling rapid data access without the overhead of serialization and deserialization, thus enhancing performance in data-intensive applications. - Multi-Language Support: Arrow offers libraries in multiple programming languages, including C++, Java, Python, R, and more, ensuring broad compatibility and ease of integration into diverse development environments. - Interoperability with Data Formats: It provides tools for reading and writing various file formats such as CSV, Apache Parquet, and Apache ORC, facilitating smooth data interchange between different systems. - In-Memory Analytics and Query Processing: Arrow includes components for in-memory analytics and query processing, supporting efficient data manipulation and analysis directly in memory. Primary Value and Problem Solved: Apache Arrow addresses the challenges associated with processing large datasets by offering a unified, efficient in-memory data representation. By standardizing the columnar memory format and providing zero-copy data sharing, it significantly reduces the computational overhead typically involved in data serialization and deserialization. This leads to faster data processing and analytics, enabling developers to build high-performance applications that can handle complex data structures across various programming languages and platforms. Arrow's interoperability with existing data formats and its support for multiple languages make it a versatile tool for developers aiming to optimize data workflows and enhance the performance of data-driven applications.

Pecan AI is an enterprise-grade no-code machine learning platform that brings advanced predictive modeling capabilities to mid-size and enterprise organizations. It transforms raw data into actionable insights through an intuitive interface, empowering business intelligence and operations teams to build and deploy predictive models without specialized data science expertise. Key features include Pecan’s Predictive GenAI assistant - a conversational AI co-pilot that guides users through model creation using natural language. The platform also provides a low-code interface that leverages familiar SQL skills, allowing analysts to generate accurate forecasts without writing complex code. Behind the scenes, the platform automates data prep and feature engineering, so messy, real-world datasets are cleaned and structured for analysis with minimal effort. Pecan easily integrates into a company’s data stack, with prebuilt connectors and APIs that link to popular data warehouses and business tools. This seamless integration means users can pull data from systems like cloud data warehouses and push predictions directly into CRMs, marketing platforms, or BI dashboards to fit within existing workflows. Once models are deployed, Pecan provides robust performance monitoring via interactive dashboards, tracking metrics and model drift over time to ensure ongoing accuracy and transparency. The cloud-native architecture also offers the scalability and security required for enterprise AI projects - handling large data volumes, multiple models, and high prediction loads reliably. By eliminating the need for a large data science team, Pecan makes advanced predictive analytics accessible across the organization. Business teams that once relied on limited expert resources can now independently forecast key outcomes and make faster, data-driven decisions. Companies in fintech, insurance, retail, and e-commerce are leveraging Pecan to solve high-impact challenges: predicting customer churn to improve retention, forecasting demand to optimize inventory, enhancing marketing ROI through predictive campaign analytics, and boosting customer lifetime value (CLV) with more precise lifetime value modeling. These use cases showcase how Pecan drives measurable improvements in customer retention, operational efficiency, and revenue growth. Beyond its technology, Pecan emphasizes customer success with dedicated support for every deployment. Each client is paired with Pecan’s customer success specialists who guide onboarding, model development, and best practices to ensure the platform delivers value quickly. This collaborative approach gives C-level executives and data leaders confidence that their AI initiatives will be successful. With Pecan, organizations gain not just a predictive analytics solution but a strategic partner - enabling them to implement enterprise-scale, AI-driven predictions swiftly and effectively, without the usual complexity or cost.

DON’T LET MARKETING BE YOUR WEAKEST LINK You’ve hand-selected the best engineer and the best R&D. The time has come to pick the best CMO. Trust SAGE – your external CMO – to provide meaningful market positioning, compelling brand messaging and data-driven strategies to hit your desired goals with impact.

Zesht IT Consulting Services Pvt Ltd has been implementing the infor and syteline, with a good understanding of manufacturing industry business processes and workflows, we can communicate with the business end-users and perceive the explanation behind their specific needs. We can propose how CloudSuite will be customized, personalized, or configured to work a lot more efficiently and effectively for his or her explicit atmosphere.

GO Intranet is a feature-rich, customizable intranet product built for modern SharePoint, Microsoft 365 and Microsoft Viva.