at Financial Technnology Year
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AlphaSense from AlphaSense
AI-powered market intelligence platform with advanced search capabilities across company filings, earnings calls, research, news, and more. Includes smart filtering, sentiment analysis, customizable alerts, collaboration tools, and annotation capabilities for comprehensive research management.
Product analysis by function
Specialized Research Hardware for Investment Research & Analysis
High-performance computing systems and data storage solutions to support intensive data analysis, backtesting, and modeling activities required for sophisticated investment research.
More Specialized Research Hardware
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Computational Performance
(0 Yes /0 Known /13 Possible features)
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Processor Core Count Number of CPU cores available for computation. |
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CPU Frequency Clock speed of central processing unit. |
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GPU Support Availability of graphical processing units for parallel computing. |
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Number of GPUs Total GPU units available for workload. |
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AI/ML Accelerator Integration Hardware support for machine learning accelerators (e.g., TPUs, FPGAs). |
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Floating Point Operations per Second (FLOPS) Hardware's capacity for high-speed mathematical calculations. |
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RAM Capacity Total system memory available. |
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RAM Speed Frequency at which memory operates. |
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Simultaneous Multithreading Ability to handle parallel threads per core. |
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Thermal Design Power (TDP) Maximum heat output to consider for cooling systems. |
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Customizable Hardware Profiles Support for user-configurable hardware allocations. |
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Fault Tolerance Mechanisms Hardware-level reliability to minimize interruptions. |
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Upgradability Ease with which hardware components can be upgraded. |
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Data Storage & Management
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Total Storage Capacity Maximum capacity for data storage. |
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Storage Type Supported types such as HDD, SSD, NVMe. |
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Read/Write Speed Speed at which data can be accessed or stored. |
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RAID Support Ability to configure disk arrays for redundancy/performance. |
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Hot Swappable Drives Ability to replace drives without shutting down. |
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Data Encryption at Rest Built-in encryption capabilities for stored data. |
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Automated Backup Scheduling Set up automatic, regular data backups. |
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Snapshot Capability Ability to capture point-in-time data images. |
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Deduplication Reduces storage use by eliminating duplicate data. |
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Compression Reduces data size for efficient storage. |
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High Availability Cluster Storage Ensures continuous data access via failover mechanisms. |
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Object Storage Compatibility Support for object-oriented storage system integration. |
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Data Tiering Move old/less-used data to lower-cost storage automatically. |
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Connectivity & Data Ingestion
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High-Speed Network Interfaces Supports fast Ethernet connectivity (10GbE/40GbE/etc). |
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Multiple Network Interfaces Ability to install several NICs for redundancy & bandwidth. |
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Cloud Integration Ability to connect and sync with public/hybrid cloud. |
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API Compatibility Supports ingestion via open APIs (REST, FIX, etc). |
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Direct Market Access (DMA) Feed Support Ability to receive high-frequency, real-time market data. |
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Batch Data Import/Export Support for large volume data moves (csv, parquet, etc). |
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Streaming Data Support Capability to ingest and process live data feeds. |
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Data Source Authentication Built-in mechanisms for secure access to data feeds. |
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Data Format Flexibility Handles multiple data formats (JSON, XML, CSV, etc). |
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Latency Time delay between data generation and ingestion. |
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Concurrent Connection Support Number of simultaneous data sources supported. |
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Automatic Data Source Failover Switches to backup sources upon failure. |
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Analytics, Modeling & Backtesting
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Backtesting Engine Integration Ability to interface with or contain backtesting platforms. |
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Simultaneous Model Execution Number of research models that can run in parallel. |
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Supported Analytics Libraries Pre-installed scientific/financial libraries (e.g., NumPy, Pandas). |
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Monte Carlo Simulation Capability Efficient support for running Monte Carlo analyses. |
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Machine Learning Framework Compatibility Can run PyTorch, TensorFlow, or specialized frameworks. |
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Custom Scripting Support Enables use of custom code/scripts (Python, R, etc). |
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Model Training Throughput How fast the platform can process training cycles. |
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Real-Time Analytics Capability Can perform live analytics with minimal lag. |
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Pre/Post Trade Analysis Modules Build-in tools for transaction analytics. |
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Scenario/Stress Testing Tools Allows exhaustive scenario analyses for risk testing. |
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Transfer Learning Support Can leverage pre-trained models for faster research. |
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Batch Processing Capability Ability to run large jobs in batch mode. |
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Security & Compliance
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End-to-End Encryption All data flows are encrypted in transit and at rest. |
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Role-Based Access Control (RBAC) Grant permissions at very granular user and group levels. |
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Multi-Factor Authentication Additional authentication layers for system access. |
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Audit Logging Every action is logged for review and compliance. |
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Intrusion Detection/Prevention Monitors and blocks malicious activity automatically. |
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Data Leak Prevention Mechanisms to block unauthorized data transfers. |
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SOC 2/ISO 27001 Certification Adherence to major information security standards. |
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Customizable Security Policies Organizations can tailor security requirements. |
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Regulatory Compliance Alerting Notification of compliance breaches. |
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Data Wiping & Secure Deletion Ensures deleted data is non-recoverable. |
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Disaster Recovery Planning Systems, processes, and testing for rapid restoration. |
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Immutable Audit Trail Cannot alter historical audit records. |
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Scalability & Flexibility
(0 Yes /0 Known /11 Possible features)
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Horizontal Scaling Support Add more servers/nodes as research requirements grow. |
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Vertical Scaling Support Increase performance by upgrading resources in a node. |
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On-Premises/Cloud Hybrid Support Can operate across premises and cloud seamlessly. |
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Resource Pooling Enables flexible allocation across research projects. |
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Automated Load Balancing Distributes computational workloads efficiently. |
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Elastic Resource Scaling Automatically scales up/down as needed. |
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Multi-Tenancy Support Multiple groups or teams can use the hardware securely. |
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API-Based Orchestration Programmatic management of compute and storage. |
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Containerization Compatibility Supports Docker, Kubernetes, etc. for deployment. |
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Custom User Environment Profiles Personalized hardware/software setups per researcher. |
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Minimum Node Size Required Smallest possible hardware increment for expansion. |
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Usability & User Experience
(0 Yes /0 Known /11 Possible features)
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Web-Based Management Console Graphical interface for hardware and job control. |
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Command-Line Tools Powerful scripting and automation capabilities. |
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User Activity Monitoring See which researcher is using which resources. |
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Resource Usage Visualization Graphical monitoring of real-time performance. |
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Automated Scheduling Schedule jobs to run at specific times or after events. |
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Alerting & Notification System Configurable alerts for hardware, job, or security events. |
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Multi-Language Support Supports multiple user interface languages. |
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Self-Service Documentation Comprehensive, accessible user manuals and help. |
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Role-Based Dashboard Configurability Custom views for different types of users. |
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Wizard-Based Setup Guided, step-by-step installation and configuration. |
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Integrated Troubleshooting Tools Automated troubleshooting and diagnostics. |
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Integration & Interoperability
(0 Yes /0 Known /10 Possible features)
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APIs for Integration Library of APIs for seamless interoperability. |
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Plug-Ins and Extensions Modular system can be extended easily. |
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Standard Communication Protocols Supports FIX, REST, WebSockets, etc. |
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Custom Data Connector Support Create/adapt connectors to various databases/data sources. |
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Integration with BI Tools Interoperability with Tableau, Power BI, etc. |
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SFTP/FTP Access Secure file transfers to and from research environment. |
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SDK Availability Software Development Kit for building integrations. |
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Vendor-Agnostic Data Access Does not require proprietary formats for ingestion. |
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Time-Series Data Integration Natively handles and integrates time-series feeds. |
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Cross-Platform Compatibility Works on major OS (Linux, Windows, Mac). |
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Reliability & Availability
(0 Yes /0 Known /10 Possible features)
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Redundant Power Supplies Multiple power circuits for continuous operation. |
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Uninterruptable Power Supply (UPS) Battery backup for short-duration outages. |
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High Availability Cluster Support Automated failover between hardware nodes. |
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Automated Backup and Restore Ensures data and state can be restored quickly. |
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Hardware Health Monitoring Detects possible failure before it occurs. |
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Mean Time Between Failures (MTBF) Average operational time before failure. |
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Automatic Job Restart Incomplete jobs can restart automatically after crash. |
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Error Detection and Reporting Automated discovery and logging of errors. |
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Hot Spare Nodes Idle nodes ready for rapid takeover on failure. |
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Service Level Agreements (SLAs) Guaranteed uptime/service targets. |
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Support, Maintenance & Vendor Services
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24/7 Hotline Support Can contact support staff at any time. |
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Onsite Support Availability Technician dispatch to physical location. |
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Proactive Hardware Monitoring Vendor monitors for preemptive fixes. |
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Regular Software/Firmware Updates Timely delivery of system updates. |
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Replacement Parts Logistics Availability and speed of replacement parts. |
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Training and Onboarding Services Vendor support for onboarding and best practices. |
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Detailed Knowledge Base Full documentation, FAQs, and troubleshooting guides. |
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Remote Diagnostics Issues can be diagnosed by vendor remotely. |
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Custom Service Agreements Tailored SLAs to suit fund management needs. |
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Migration Assistance Help with moving workloads or data. |
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Cost Management & Efficiency
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Total Cost of Ownership Tracking Visibility into cumulative system and maintenance cost. |
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Energy Efficiency Metrics Tracks power use and cost efficiency over time. |
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Automated Power Management Automatically powers down unused resources. |
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Usage-Based Billing Support Ability to apportion costs to business units/projects. |
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Resource Allocation Quotas Set limits to avoid uncontrolled use of hardware. |
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Detailed Usage Reporting Track resource and power consumption per job/user. |
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License Management Tools Manages software/hardware license allocations. |
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Predictive Maintenance Scheduling Minimizes downtime/cost by scheduling ahead. |
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Financial API Integration Connects with accounting/ERP systems. |
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Cloud Bursting Support Dynamically shift workloads to cloud during spikes. |
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