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AI, predictive analytics top list of hot technologies for banks

CIO Business Intelligence

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue. Gartner highlights AI trend in banking.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 3

BizAcuity

Edge computing comes as a boon for industries that depend on IoT like logistics and telecommunications. Ericsson believes that the future of IoT has the potential to be limitless. Various forecasts project a growth of over 5 billion IoT devices by 2025. The Future of Cloud Computing: All The Hype. Grid Computing.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. They indeed enable you to see what is happening at every moment and send alerts when something is off-trend. Connected Retail.

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Covid-19 Accelerates The Need for Retail, Manufacturing Supply Chains To Adapt

Cloudera

What they have learned is that often their legacy Machine Learning models (e.g. demand forecasting) based solely on historical transaction data – really missed the mark. Much of the changes we’re seeing from retail and consumer goods leaders in terms of impact are centered around the use of data and analytics. Demand-side.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

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Capgemini and IBM Ecosystem strengthen partnership for Drone-as-a-Service

IBM Big Data Hub

billion by 2029, at a CAGR of 28.58% in the forecast period. The services are activated through access management for data collection, analysis and event monitoring in existing drones which are managed by clients and businesses. DaaS uses built-in deep learning models that learn by analyzing images and video streams for classification.