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How to become an AI+ enterprise

IBM Big Data Hub

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. This requires a holistic enterprise transformation. times higher ROI.

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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system. As the future of commerce unfolds, each use case interacts holistically to transform the customer journey from end-to-end–for customers, for employees, and for their partners.

B2B 49
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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Through interactive dashboards , these tools empower users across various departments to access and interpret data effectively. Additionally, BI tools enable organizations to adopt a data-driven approach to strategy formulation, leading to more informed decision-making at all levels.

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10 hottest IT jobs for salary growth in 2023

CIO Business Intelligence

There’s a strong need for workers with expertise in helping companies make sense of data, launch cloud strategies, build applications, and improve the overall user experience. Companies need qualified CTOs, CIOs, vice presidents, and directors who are focused on developing and overseeing the business’ overall technology strategy and goals.

IT 139
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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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What a quarter century of digital transformation at PayPal looks like

CIO Business Intelligence

One strategy, five keys From a technological point of view, the brand’s strategic engine is divided into five investment areas. This also allows us to have the best in terms of global technology, fraud mitigation and prevention, and cybersecurity measures in all markets, all while complying with local regulations and compliance requirements.”