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5 Ways Your Retail Banks Can Use Data to Better Serve Digital Natives

Smart Data Collective

One of the sectors most impacted by big data has been banking. Big data is even more important to the banking sector as more of their services become digitalized. The market for analytics technology in the banking sector is projected to be worth over $5.4 Banks turn to Data Analytics as Demand for Digital Services Grows.

Banking 312
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Accelerating innovation with cloud-native apps on Microsoft Cloud

CIO

The financial services sector is undergoing rapid change as fintechs develop convenient, consumer-focused services that were once the province of traditional banks. Many established financial institutions have very good core business capabilities, but their technology platforms tend to be archaic and rigid.

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Protecting your business from unforeseen outages: Lessons from the recent CrowdStrike incident

CIO

This knowledge can inform your own risk management and business continuity strategies. Update regularly: Continuously review and update your BIA, incident response plans, and vendor assessments to reflect changes in the business environment, emerging threats, and lessons learned from past incidents.

Business 417
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Cybersecurity Automation: Leveling the Playing Field

CIO

Aim to gather data from all aspects of your business environment, such as endpoint, network, and cloud. About Leonard Kleinman : Len Kleinman is the Field Chief Technology Officer (CTO) – Cortex for Palo Alto Networks JAPAC focusing on critical industry sectors such as Government, Banking and Finance, Utilities, and Education.

Hospitals 536
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SD-WAN Helping Financial Services Achieve Greater Digital Agility, Cybersecurity

CIO

The shift to a digital business environment in financial services began well before the pandemic pushed it and other sectors to more rapidly embrace digital transformation. Those organizations that don’t make that change risk losing their customers to those that adopted an agile, customer-centric approach to business.

Security 418
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How To Enhance Your Analytics with Insightful ML Approaches

Smart Data Collective

However, the rapidly changing business environment requires more sophisticated analytical tools in order to quickly make high-quality decisions and build forecasts for the future. For example, insurance companies use cluster analysis to detect false claims, while banks use it to assess creditworthiness. Predictive analytics.

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Top 9 challenges IT leaders will face in 2023

CIO

We need to improve overall performance while we adapt to the changing business environment,” Liu says. Grace Liu, senior vice president of IT for Seagate Technology, says the shifting economy can offer a chance to be opportunistic. “We

IT 546