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Big Data Explosion

Cisco

These include institution-wide standards for data infrastructure, governance, and security, as well as business- specific needs related to data acquisition, data science, compliance, and more. More attention is also turning to gaining competitive advantage from under-used customer data collected via conventional operations.

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Customer Data Management Challenges in Financial Services

Perficient

Today, I will dive into the customer data management challenges financial companies might encounter when starting their personalization journey. Data management in any financial services firm is complex. Users are demanding self-service access to data and easy-to-use tools for decision support and trend identification.

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Reading Predictive Tea Leaves With Smart, Big Data

PYMNTS

Missing the opportunity to gauge demand accurately can result in lost sales, and ramping up production or staffing while waiting for foot traffic or clicks on buy buttons that never materialize can ding operating profits. However, as Cam Brown, CEO of PredictHQ , told Karen Webster, the key is to find “smart” data buried within the Big Data.

Big Data 160
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To Optimize Supply Chains, Big Data Must Have The Need For Speed

PYMNTS

Supply chain management strategies are top of mind for many organizations at a time when Brexit, trade disputes, tariffs and an overall sense of geopolitical volatility have businesses recognizing the need for resiliency through operations and business partners. “How can I analyze data in real time, and make decisions faster?

Big Data 166
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AI, Big Data And Automation Take Center Stage At NRF

PYMNTS

Several new innovations that change the way retailers manage inventory and consumers purchase products were on display at the National Retail Federation’s annual trade show, The New York Times reported. During the three-day event, retail industry leaders discussed artificial intelligence, Big Data and automation.

Big Data 112
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AI Regulations for Financial Services: Hong Kong

Perficient

In the summer of 2024, the Hong Kong Monetary Authority (“HKMA”) issued multiple guidance documents to financial services firms covering their use of artificial intelligence in both customer-facing applications as well as anti-money laundering and detecting and countering terrorist financing (“AML/CTF”).

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IBM’s Cognitive Bank: Big Data, Bigger Problems

Celent Banking

The crux of the presentation was the benefits of big data and cognitive analytics for financial markets. But what were not discussed are the daunting challenges and complexities a bank will face in implementing and managing a big data project. Did you get the required support from management? It’s not easy.

Big Data 100