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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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Is Outsourcing Offshore Right for You? Pros and Cons

Magellan Solutions

The global BPO market is projected to reach $525 billion by 2030 , growing at over 9% annually. It can raise concerns about data security and privacy as the risk of compromised or mishandled confidential information increases. One popular tactic is outsourcing to other countries to make operations more efficient.

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Why Aren’t You Hiring Internationally in 2022?

Globalization Partners

Yes, it can be scary navigating international waters, and there are lots of requirements and regulations to deal with, but there are also many solutions designed to make the process easier and smoother. This exposes companies to sanctions and penalties for failing to comply with in-country requirements and regulations.

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Six EAM trends pushing the oil and gas industries forward

IBM Business Partners

The oil and gas industry remains an integral part of the energy landscape, but it faces a number of modern challenges, including volatile market conditions, expanding environmental regulations and the growing need for operational efficiency. through 2030. equipment, machinery and infrastructure).

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ESG for banks – how to elevate the game to achieve key goals

Capgemini

The UN estimates that spending $7 trillion each year is needed to get closer to its Sustainable Development Goals by 2030, and 6 out of the $7 trillion is reliant on the private sector. As two-thirds of the financing must be provided by banks, their role is instrumental in achieving the Goals. Capgemini Invent Sustainable Vision Matrix).

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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. Banking institutions and other fintech firms utilize machine learning algorithms to optimize money circulation by providing loans regulated with ML-based credit scoring systems instead of only rule-based.

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Embedded finance: unlocking the $500Bn opportunity

Capgemini

The regulation ushered the banking industry to the Open Banking era of seamless data exchange. The implications of this regulation were not restricted to only Europe. We witnessed Open Banking being embraced globally – either market driven, or government regulated – across the key markets.

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