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When—and how—to prepare for post-quantum cryptography

McKinsey & Company

While quantum computers may not be able to crack conventional encryption protocols until 2030, many cybersecurity and risk managers should evaluate their options now.

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Why Aren’t You Hiring Internationally in 2022?

Globalization Partners

While some companies can easily do so, many others find the process to be extremely complex due to the multiple capital requirements involved — and the lack of expertise in local labor laws, taxes, compliance, and risk management also makes it a time-consuming process that can take up to a year or more. Evade local talent shortages.

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Data and AI: Laying the foundation for ESG transformation in financial services

Capgemini

They touched upon reporting, risk management, growth, innovation, and much more. According to the United Nations Environment Programme’s latest State of Finance for Nature report, humankind will need to nearly triple today’s levels of investment in nature-based solutions to $542 billion by 2030 to limit climate change to 1.5

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The history of ESG: A journey towards sustainable investing

IBM Services

1 Slowly but surely, institutional investors started to recognize that companies could potentially improve financial performance and risk management by focusing on ESG issues like greenhouse gas emissions. The total—$639 billion—shed light on how shareholders were starting to invest out of principle versus strictly profit.

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Today’s Leading Businesses Are Already Building Tomorrow’s Leading Workforces – Business Process Outsourcing Companies Can Do the Heavy Lifting

Anexa

In fact, research shows that nearly all in-branch roles will decline over the next decade, and by 2030, the average branch size is expected to shrink from six full-time equivalents to four. And as it turns out – many of those pivots are here to stay.

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A short guide to AI-first wealth management

Infosys Consulting

LinkedIn Aadarsh Raghavan Principal Aadarsh has 16+ years of experience in advisory and implementation engagements in the financial services industry across wealth and asset management, asset servicing, risk management, regulatory compliance, digital transformation and data management. He is also a certified FRM.

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Machine Learning in Fintech: Top 5 Uses & Overview

Vilmate

Here are only a few instances of ML and AI applications in financial services: Risk management. Asset management. Security, Risk Management & Fraud detection. Alongside goes risk management, as one should be perfectly aware of when and what to buy, what to sell, and when to press hold in the market.

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