Approximately 99% of asset managers say they plan to use Artificial Intelligence (AI) in their company in the next three years. Asset management has evolved over the years into a highly sophisticated process. AI and machine learning have the potential to produce valuable insights from unstructured bits of data. Today there are many applications investors utilize for asset management. In this article, we explore how big data could impact investments in the future.
1. Helping Managers Learn from Past Investments
Machine learning can discern patterns when it is given adequate amounts of data. AI algorithms are currently in use by tech companies to improve customer relations or provide product suggestions. In the future, such algorithms may have useful applications in asset management.
Already there are efforts to bring together data from thousands of companies. For asset managers to get valuable information on time, they’ve found it necessary to utilize AI and big data.
2. Helping Improve Qualitative Investment Analysis
The qualitative investment approach seeks to make valuable investment decisions using expert analysis. It differs from previous models that depended heavily on empirical data.
Thanks to advancement in Fintech (Financial Technology) and empirical data, expert analysis is feasible. Big data applications can assist analysts with making more timely decisions. Qualitative investment models have since moved from desktop software to deploying applications through the cloud.
3. Helping with Optimized Strategies for Generating Alpha
As investors began to understand the shortcomings of quantitative investing, they created separate portfolios. One of the portfolios was to generate market returns at low cost and is known as ‘Beta.’ The objective of the second portfolio was to capture excess market returns, which is ‘Alpha.’
Big data for asset management has made portfolio management possible. Asset management services collect information from a broad range of sources, from satellite images to websites. In the past, most data for generating Alpha came from company financial reports and stock price history.
4. Big Data is Being Used to Enhance Decision Making
Advances in digital technology can equip asset managers with the tools they need to make better investment decisions. Many Fintech companies today operate like IT firms. They have offerings that clients can access primarily through their portable digital devices.
For fund managers, such tools make decision-making easier. It places a wealth of information in their hands to make the right investment choices on time.
5. Helping with the Integration of Digital Technologies
In recent years, a new term has emerged, ‘robo management’. It involves the integration of multiple technologies to provide information to investors. The merging of different technologies automates aspects of the process, reducing time and resources. They can do a lot more, from managing investments to enhancing relationships with customers. Integration is also helping streamline a lot of areas of asset management.
The automation of asset management processes has made things easier for fund managers and their clients. Modern big data software applications can consume large amounts of information and recognize patterns to facilitate decision-making. While these applications can be helpful, you may want to consult professionals with experience for the best results. You can contact the Global Trust Depository (GTD) for asset management services, paymaster services, private vault storage, and valuable asset purchases.