Navigating the Future of Public Sector AI: GDPR Compliance in the Age of Gen AI
In the fast-evolving landscape of public sector digital transformation, the integration of generative AI technologies presents a dual...
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An AI-powered External Intelligence Platform that delivers actionable insights for confident decision-making by combining a vast and diverse data set with an intuitive user experience.
FEATURES:
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AI-Powered Search
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Real-Time Alerts
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AI-Powered Insight Dashboards
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Sentiment Analysis
Signal AI
External Intelligence Platform
A platform that utilizes advanced AI algorithms to generate highly realistic synthetic data. This synthetic data preserves the statistical properties and patterns of the original data while protecting privacy.
FEATURES:
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Data Synthesis
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Data Privacy
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Data Utility
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API and Python Library
Mostly AI
Synthetic Data Generation
A collection of AI-powered tools within Adobe's Creative Cloud suite with a primary focus on generative content creation, including image generation, text effects, and versatile image editing and manipulation.
FEATURES:
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Generative Image Editing & Filling
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Text-to-Image Generation
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Creative Text Effects
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Image Stylization
Adobe Firefly
Generative AI Marketing
Practical Use Cases
Product owners face the challenge of drafting numerous user stories and epics to drive project development.
By automating and optimizing several key tasks, Jira Co-Pilot enables faster and more efficient launch of financial products.
Project Setup & Backlog Creation: Automates project configuration to support agile workflows. Analyzes documentation to suggest backlog items, significantly reducing manual workload.
User Story & Requirements Drafting: Utilizes natural language processing to quickly draft and refine user stories and requirements. Enhances descriptions to fit the standard agile user story format efficiently.
Prioritization & Dependencies: Identifies interdependencies and potential conflicts among stories and requirements using NLP and analytical heuristics. Assists in accurately prioritizing the backlog to highlight critical items for development.
Estimation Guidance: Offers estimation recommendations by comparing new user stories with historical project data. Alerts product owners to potentially complex items requiring more attention.
Reporting & Metrics: Generates automatic reports on project status, including progress metrics, burn-up charts, and quality indicators. Provides valuable insights for data-driven decision-making.
Microsoft Co-Pilot for Agile Project Management in Financial Services
Product owners face the challenge of drafting numerous user stories and epics to drive project development.
By automating and optimizing several key tasks, Jira Co-Pilot enables faster and more efficient launch of financial products.
Project Setup & Backlog Creation: Automates project configuration to support agile workflows. Analyzes documentation to suggest backlog items, significantly reducing manual workload.
User Story & Requirements Drafting: Utilizes natural language processing to quickly draft and refine user stories and requirements. Enhances descriptions to fit the standard agile user story format efficiently.
Prioritization & Dependencies: Identifies interdependencies and potential conflicts among stories and requirements using NLP and analytical heuristics. Assists in accurately prioritizing the backlog to highlight critical items for development.
Estimation Guidance: Offers estimation recommendations by comparing new user stories with historical project data. Alerts product owners to potentially complex items requiring more attention.
Reporting & Metrics: Generates automatic reports on project status, including progress metrics, burn-up charts, and quality indicators. Provides valuable insights for data-driven decision-making.
Leveraging Public Data to Identify Sales & Trading Opportunities
Manually entering call reports into a CRM system is time-consuming and error-prone. This takes valuable time away from bankers who should be focused on building relationships and generating revenue.
This solution leverages advanced language models to transform call recording transcripts into actionable insights.
Automated Transcript Generation: LLMs trained on financial conversations transcribe call audio, providing an accurate and searchable text record.
Intelligent Opportunity Identification: LLMs analyze the transcript for key client needs, pain points, and expressed interest, indicating potential upselling and cross-selling opportunities.
Streamlined CRM Integration: LLMs extract key data points and summarize call content, seamlessly populating CRM fields to minimize manual input and increase accuracy.
Trend & Theme Analysis: LLMs identify recurring patterns across call reports, revealing client preferences and industry trends to guide targeted strategies.
Automating Call Reports to improve efficiency & ROI for Bankers
AI in the News
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