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Application of advanced analytics and machine learning in the banking industry

Hacker Earth Developers Blog

Banks have always been custodian of customer data, but they lack the technological and analytical capability to derive value from the data. On the other hand, fintech companies have the analytical capabilities and, thanks to payments services directives, they now have access to valuable data. Impact areas. Source: McKinsey.

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Gartner projects major IT spending increases for 2025

CIO

Free the AI At the same time, most organizations will spend a small percentage of their IT budgets on gen AI software deployments, Lovelock says. The company also plans to increase spending on cybersecurity tools and personnel, he adds, and it will focus more resources on advanced analytics, data management, and storage solutions.

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Zoho adds AI and ML capabilities in Zoho Analytics 6.0

CIO

Zoho has updated Zoho Analytics to add artificial intelligence to the product and enables customers create custom machine-learning models using its new Data Science and Machine Learning (DSML) Studio. The advances in Zoho Analytics 6.0 The advances in Zoho Analytics 6.0

Analytics 197
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Marsh McLennan IT reorg lays foundation for gen AI

CIO

Setting the standard for analytics and AI As the core development platform was refined, Marsh McLennan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

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What is DataOps? Collaborative, cross-functional analytics

CIO

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. DataOps goals According to Dataversity , the goal of DataOps is to streamline the design, development, and maintenance of applications based on data and data analytics. What is DataOps?

Analytics 195
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5 hot IT budget investments — and 2 going cold

CIO

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%).

Budget 218
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Marsh McLellan IT reorg lays foundation for gen AI

CIO

Setting the standard for analytics and AI As the core development platform was refined, Marsh McLellan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform. Simultaneously, major decisions were made to unify the company’s data and analytics platform.