Your Portfolio Commentary Process is Complicated
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This document outlines the complex process that financial firms typically go through to generate portfolio commentaries, which involves multiple departments and can take 15-20 days to complete. With Narrative Science's technology, the entire process can be done automatically in seconds, from data gathering to drafting to publishing the commentary. The platform provides automated narrative generation to help financial firms streamline their commentary production process.
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Date and Time
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Data Manipulation with Strings in UiPath Studio (v2022.10) 2 modules - 1h 30m - https://academy.uipath.com/courses/data-manipulation-with-strings-in-studio
Data Manipulation with Lists and Dictionaries in UiPath Studio (v2022.10) 2 modules - 1h - https:/academy.uipath.com/courses/data-manipulation-with-lists-and-dictionaries-in-studio
Data Manipulation with Data Tables in UiPath Studio (v2022.10) 2 modules - 1h 30m - https:/academy.uipath.com/courses/data-manipulation-with-data-tables-in-studio
鏝 For any questions you may have, please use the dedicated Forum thread. You can tag the hosts and mentors directly and they will reply as soon as possible. UiPath Document Understanding - Generative AI and Active learning capabilities
UiPath Document Understanding - Generative AI and Active learning capabilitiesDianaGray10
油
This session focus on Generative AI features and Active learning modern experience with Document understanding.
Topics Covered:
Overview of Document Understanding
How Generative Annotation works?
What is Generative Classification?
How to use Generative Extraction activities?
What is Generative Validation?
How Active learning modern experience accelerate model training?
Q/A
If you have any questions or feedback, please refer to the "Women in Automation 2025" dedicated Forum thread. You can find there extra details and updates. Field Device Management Market Report 2030 - TechSci Research
Field Device Management Market Report 2030 - TechSci ResearchVipin Mishra
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The Global Field Device Management (FDM) Market is expected to experience significant growth in the forecast period from 2026 to 2030, driven by the integration of advanced technologies aimed at improving industrial operations.
According to TechSci Research, the Global Field Device Management Market was valued at USD 1,506.34 million in 2023 and is anticipated to grow at a CAGR of 6.72% through 2030. FDM plays a vital role in the centralized oversight and optimization of industrial field devices, including sensors, actuators, and controllers.
Key tasks managed under FDM include:
Configuration
Monitoring
Diagnostics
Maintenance
Performance optimization
FDM solutions offer a comprehensive platform for real-time data collection, analysis, and decision-making, enabling:
Proactive maintenance
Predictive analytics
Remote monitoring
By streamlining operations and ensuring compliance, FDM enhances operational efficiency, reduces downtime, and improves asset reliability, ultimately leading to greater performance in industrial processes. FDMs emphasis on predictive maintenance is particularly important in ensuring the long-term sustainability and success of industrial operations.
For more information, explore the full report: https://shorturl.at/EJnzR
Major companies operating in Global油Field Device Management Market are:
General Electric Co
Siemens AG
ABB Ltd
Emerson Electric Co
Aveva Group Ltd
Schneider Electric SE
STMicroelectronics Inc
Techno Systems Inc
Semiconductor Components Industries LLC
International Business Machines Corporation (IBM)
#FieldDeviceManagement #IndustrialAutomation #PredictiveMaintenance #TechInnovation #IndustrialEfficiency #RemoteMonitoring #TechAdvancements #MarketGrowth #OperationalExcellence #SensorsAndActuatorsInside Freshworks' Migration from Cassandra to ScyllaDB by Premkumar Patturaj
Inside Freshworks' Migration from Cassandra to ScyllaDB by Premkumar PatturajScyllaDB
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Freshworks migrated from Cassandra to ScyllaDB to handle growing audit log data efficiently. Cassandra required frequent scaling, complex repairs, and had non-linear scaling. ScyllaDB reduced costs with fewer machines and improved operations. Using Zero Downtime Migration (ZDM), they bulk-migrated data, performed dual writes, and validated consistency.Your Portfolio Commentary Process is Complicated
- 1. ...But It Doesnt Have to Be. Your Portfolio Commentary Process is Complicated... PROJECT MANAGEMENT Preparation Assign resources. No. Yes. Complete in 15-20 days Complete in seconds! IT Validate data. Check attribution. Prepare for writing. DATA GATHERINGData Access Publishing & Distributing Drafting & Reviewing WRITERS COMPLIANCE Cleanse data. MARKETING DATA ACCESS FactSet Portfolio Analytics Quill Portfolio Commentary DRAFTING & REVIEWING FactSet Portfolio Analytics PUBLISHING & DISTRIBUTING Learn how you can be done on day one narrativescience.com/asset-management PORTFOLIO MANAGER COMPLIANCE MARKETING WRITERS Does internal resource have time? Maybe. Secure investment communications to write? Find freelancer. No. Approve freelancer. Secure portfolio manager to write? Distribute timeline for all funds and accounts. No. Yes. No.Prepare for publishing. QA.Write first draft. Yes. Additional edits? Repurpose into other deliverables. Final review and sign off. Design. Create document. Style and brand review. Distribute to CRM. Distribute to print. Distribute to HTML. Edits. Word count. Compliance review.