Search results
Make smarter investment decisions faster and cost-effectively
- To deliver alpha and investment solutions we explore new technologies and engineer our investment process to be data-driven. This allows us to make smarter investment decisions faster and cost-effectively.
www.gsam.com/content/dam/gsam/pdfs/common/en/public/articles/2020/Innovation_Driven_Investing_January_2020.pdf?sa=n&rd=n
People also ask
Why did Goldman Sachs develop a data-driven approach?
Why is Goldman Sachs open-sourced?
How does Goldman Sachs use data analytics?
What is Goldman Sachs 'Financial cloud for data'?
Why is Goldman Sachs embracing technology?
Does Goldman Sachs have a Data-Driven HR department?
Apr 28, 2023 · Raphael explains Goldman Sachs' three-pronged approach to managing data: through platform development, content curation, and governance and quality control. The conversation includes a discussion on the challenges and opportunities that come with handling complex, real-time data in a high-stakes environment such as financial services.
- 42 min
Oct 17, 2019 · Investment banking giant, Goldman Sachs, doesn’t trade in feelings. So when the company set out to rethink how to engage employees, its HR department needed a data-driven approach.
- Robin Meyerhoff
Apr 28, 2024 · From digitization and data analytics to AI, blockchain, and cybersecurity, Goldman Sachs’ strategic embrace of technology underscores its commitment to innovation, agility, and...
Oct 19, 2020 · The components open-sourced today allow any individual and organization across any industry to harness the power of Goldman Sachs’ internal data platform for their own data management and governance needs as well as contribute to the open code base.
Feb 15, 2023 · In late 2021 Goldman Sachs launched a new suite of cloud-based data and analytics solutions for clients which it called its “Financial Cloud for Data”. The offering was built in large part on modular AWS components that the storied investment bank said would help “reduce the need for investment firms to develop… foundational data ...
a company can use data to create a competitive edge – and perhaps more importantly, when it cannot. Using the learning curve, we analyze four types of data-driven learning strategies: . Data-smart strategies rely on a business’s internally generated data as the foundation for producing data-based insights – or what can be thought of as learning.
Dec 23, 2019 · 1. Define the culture. There is a strong relationship between successful transformation initiatives and companies who approached these initiatives with an aggressive focus on driving cultural...
