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Banking on mainframe-led digital transformation for financial services

IBM Big Data Hub

Before the internet and cloud computing , and before smartphones and mobile apps, banks were shuttling payments through massive electronic settlement gateways and operating mainframes as systems of record. Complex analytical queries atop huge datasets on the mainframe can eat up compute budgets and take hours or days to run.

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China’s PIPL has finally arrived, and brings helpful clarification (rather than substantial change) to China’s data privacy framework

DLA Piper Privacy Matters

Definition of Personal information and Sensitive Personal information “Personal information” means any kind of information relating to an identified or identifiable natural person, either electronically or otherwise recorded, but excluding information that has been de-identified or anonymised.

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Tuesday’s Relativity Fest 2019 Sessions: eDiscovery Trends

eDiscovery Daily

Speakers Include: Constantine Pappas – Senior Manager, Relativity Solutions, Relativity; Karen Wagshul – eDiscovery Counsel, Allstate; Kimberly Quan – Lead, eDiscovery & Information Governance, Juniper Networks; Beth Solomon – Director & Senior Counsel, Payments, Discover Financial Services.

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This is the old ChiefTech blog.: My experience of Lotus Notes at Ernst & Young

ChiefTech

This is probably because the Financial Services area he worked in was the smallest group (Accounting and Tax being the largest) and they simply never invested in enterprise-wide Lotus Notes systems as much the other areas. and Enterprise 2.0 Thank you for sharing your insight.

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OCR and Health Care Industry Cybersecurity Task Force Publish Cybersecurity Materials

Hunton Privacy

The report concludes by providing a list of key resources and best practices for addressing cybersecurity threats that were gleaned from studying the financial services and energy sectors.

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The Hacker Mind Podcast: EP 69 Self-Healing Operating Systems

ForAllSecure

companies like Verizon, Google, Microsoft, State Street Bank, mutual, BNP Paribas, some oil companies, and and then through our work at MIT Sloan, we also get very much involved with the Computer Science and Artificial Intelligence Laboratory which is CSAIL. VAMOSI: Michael mentioned financial services.