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Content posted in September 2020
Overseeing AI: Governing artificial intelligence in banking
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AI is changing the face of the banking industry. How can banks meet the governance challenges and take advantage of this game-changing technology? To answer this crucial question, the Economist Intelligence Unit (EIU) and Temenos have produced a new report – Overseeing AI: Governing Artificial Intelligence in Banking Key findings in the report include: • 77% of banking leaders believe AI will define winning from losing banks.* • COVID-19 will intensify the use of AI. This makes effective governance more urgent • “Black box” risk and lack of human oversight are key concerns surrounding the use of AI in banking. This makes ethical, fair and well-documented AI-based decisions vital. To create this report, the EIU conducted a global regulatory review of over 25 reports and summarized the main issues raised by regulators on the topic of managing AI risks in banking. These documents were published in the last three years by banking and financial sector supervisory authorities, central banks and supranational institutions, universities and consultancies.
Gaining an edge with Operational Intelligence and AI
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In this eBook, created in partnership between AI Business and innovative software vendor DRYiCE, we look at both emerging trends and specific use cases in deploying AI for business.

We discuss the broader components of a well-functioning digital enterprise, like data management and business flow monitoring, and pay special attention to the financial services sector, which is pioneering many of the more recent AI use cases.

This eBook covers:

  • Corporate buy-in for AI and DX projects
  • The importance of monitoring
  • The future of AI
  • The obstacles to implementation
  • The likely impact across different industries

Cognitive Search & Analytics to Optimize Customer Service
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Customer service centers serve as organizational information hubs, resonating with the voices of the customers. Properly utilized, they can satisfy customers and improve retention; they can also drive revenue by cross-selling and up-selling. To do this, they must manage the volume of interactions efficiently and control average handle time (AHT). Download this whitepaper to learn more.
Becoming AI driven
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Customer service centers serve as organizational information hubs, resonating with the voices of the customers. Properly utilized, they can satisfy customers and improve retention; they can also drive revenue by cross-selling and up-selling. To do this, they must manage the volume of interactions efficiently and control average handle time (AHT). Download this whitepaper to learn more.
Unlock enterprise document intelligence with AI
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In this eBook, sponsored by AI-based software company EdgeVerve, we take a look at the following artificial intelligence technologies; Document Digitization,Computer Vision,Natural Language Processing and Intelligent Search, as applied to document management.
Transformational CX requires wholistic conversational AI
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This white paper, authored by Omdia in partnership with Interactions, takes an inside look at the current landscape of CX communications, maps out the challenges, and outlines the key elements of a winning plan.


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