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Digital Transformation in Retail Banks: Potential Impact on Brand Equity, Customers, and Employees

Beyond Philosophy

I’m capitalizing the first letter of each word because the pervasiveness of digital transformation has all the feel of Big Data a few years ago and Reeingineering in the 1990’s. Digital innovation in banking can be seen in the transformative way people transact and organize their finances.

Banking 225
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10 Unique Use Cases for Speech Analytics

Expivia

This week we will be talking about 10 unique use cases for speech analytics. Speech analytics is evolving to have use cases not yet thought of. For those of you who use speech analytics and want to expand the ROI for them, this is for you. Generating Marketing Data. Proactive Customer Service. Proactive Customer Service.

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Gone Virtual: Recap of the CETX Conference

Callminer

Later on, breakout sessions led by customers, Avadyne Health , Gant Travel , and more offered some powerful case studies including an analysis from Direct Dialog’s Marvie Wright on how speech analytics helped their virtual workforce yield 10% more revenue. The show goes on. CETX 2020: It was a cyber success.

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Talking Omnichannel But Organised Multi Channel?

Peter Lavers

The automotive sector, for example, is in an unprecedented period of market and legislation-driven disruption in its brands, products, markets, fuels, financing, taxation / charging – and channels & media. These lenses are perfectly possible to build and reconcile with good data governance and the latest AI and analytics tools.

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Linking ESG Programs to Corporate Financial Performance: An Econometric Analysis Approach

CSM Magazine

Understanding the ESG Framework and Its Role in Corporate Finance In the evolving landscape of corporate finance, ESG principles are gaining prominence. Furthermore, the integration of digital technologies, including artificial intelligence, blockchain, and big data, augments these ESG capabilities.

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Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

AWS Machine Learning

Industries such as Finance, Retail, Supply Chain Management, and Logistics face the risk of missed opportunities, increased costs, inefficient resource allocation, and the inability to meet customer expectations. With efficient querying, aggregation, and analytics, businesses can extract valuable insights from time-stamped data.

Finance 131
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Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

She is passionate about designing cloud-centered big data workloads. She has over 20 years of IT experience in software development, analytics, and architecture across multiple domains such as finance, retail, and telecom.