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Financial services firms turn to automated, data-driven processes for new products and services

CIO

Between the host of regulations introduced in the wake of the 2009 subprime mortgage crisis, the emergence of thousands of fintech startups, and shifting consumer preferences for digital payments banking, financial services companies have had plenty of change to contend with over the past decade. But there’s an opportunity in this shift.

Data 238
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AI adoption accelerates as enterprise PoCs show productivity gains

CIO

“Everyone is running around trying to apply this technology that’s moving so fast, but without business outcomes, there’s no point to it,” says Redmond, CIO at power management systems manufacturer Eaton Corp. “We We need to continue to be mindful of business outcomes and apply use cases that make sense.”

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The rise of the data lakehouse: A new era of data value

CIO

Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. With the advent of big data, a second system of insight, the data lake, appeared to serve up artificial intelligence and machine learning (AI/ML) insights.

Data 349
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Piramal CTO Saurabh Mittal on financial services innovation

CIO

The 36,000-square-foot innovation hub will be led by the company’s CTO, Saurabh Mittal, and Markandey Upadhyay, head of business intelligence unit for Piramal. Another interesting area we are focusing on is that of bank statement analysis. The other technology that will go to a different orbit altogether is machine learning.

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How data science gives Games 24×7 a hyperpersonalized edge

CIO

With a portfolio spanning skill games (RummyCircle), fantasy sports (My11Circle), and casual games (U Games), the company banks firmly on technology to build a highly scalable gaming infrastructure that serves more than 100 million registered users across platforms. What are your future business and technology plans?

Games 167
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Data Mining: use cases & benefits

Apiumhub

Retailers, banks, manufacturers, health industry players, etc. Retailers, banks, manufacturers, health industry players, etc. Data mining is the process of analyzing massive volumes of data to discover business intelligence that helps companies solve problems, mitigate risks, and seize new opportunities.

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Accessing Kafka’s Real-Time Analytics Is Easier Than Ever

TIBCO - Connected Intelligence

More and more major companies are realizing the full value of having real-time data-driven analytics at their fingertips. Everything from temperature sensor tracking and machinery wear-and-tear to social media metrics and targeted online searches to fraud and forecast trends can be critical information to a successful modern business. .