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Risk Management for AI Chatbots

O'Reilly on Data

Doing so means giving the general public a freeform text box for interacting with your AI model. Welcome to your company’s new AI risk management nightmare. Before you give up on your dreams of releasing an AI chatbot, remember: no risk, no reward. That doesn’t sound so bad, right? So, what do you do?

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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. The answers to these foundational questions help you uncover opportunities and detect risks. Why do risk and opportunity events matter? and “What is the financial impact?”.

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Elevate Your Protection Strategy at CSO’s Future of Cybersecurity Summit

CIO Business Intelligence

Metrics that create a narrative and show how the business compares to competitors, the wider industry, and globally against all businesses give a clear picture that allows board members to set strategy. The day continues with Doug Fisher, SVP and CSO at Lenovo , who will share his strategies for strong security leadership.

Strategy 124
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PODCAST: Making AI Real – Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower

bridgei2i

Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. Today the Chief Risk Officers(CROs) struggle with the critical task of monitoring and assessing key risks in real time and firefight to mitigate any critical issues that arise.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. Apart from generating regulatory reports, these teams require visibility into the health of the reporting systems.

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Mastering market dynamics: Transforming transaction cost analytics with ultra-precise Tick History – PCAP and Amazon Athena for Apache Spark

AWS Big Data

Transaction cost analysis (TCA) is widely used by traders, portfolio managers, and brokers for pre-trade and post-trade analysis, and helps them measure and optimize transaction costs and the effectiveness of their trading strategies. After your notebook is created, you will be redirected to the interactive notebook editor.

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Data-driven competitive advantage in the financial services industry

Cloudera

It provides direction for a robust business strategy that has taken into account risks and ways to manage them. Better visibility of their customers assures banks that they are not exposing themselves to additional risks in the process. Addressing new customers and markets. Personalizing the customer experience.