By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data Analytics instagram stories
    Data Analytics Helps Marketers Make the Most of Instagram Stories
    15 Min Read
    analyst,women,looking,at,kpi,data,on,computer,screen
    What to Know Before Recruiting an Analyst to Handle Company Data
    6 Min Read
    AI analytics
    AI-Based Analytics Are Changing the Future of Credit Cards
    6 Min Read
    data overload showing data analytics
    How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?
    8 Min Read
    hire a marketing agency with a background in data analytics
    5 Reasons to Hire a Marketing Agency that Knows Data Analytics
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Is Machine Learning Changing Our Approach to Asset Management?
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Exclusive > Is Machine Learning Changing Our Approach to Asset Management?
Machine Learning

Is Machine Learning Changing Our Approach to Asset Management?

Ryan Kh
Last updated: 2021/07/04 at 1:23 PM
Ryan Kh
6 Min Read
Asset management and machine learning
Licensed Photo from Adobe Stock
SHARE

Wealth and asset management has come a long way, evolving through the use of artificial intelligence, or AI solutions. It is not meant to replace people and threaten their livelihood, but to strengthen the connection between businesses and their customers. Machine learning (ML) is a form of AI that is becoming more widely used in the market because of the rising number of AI vendors in the banking industry. But is AI becoming the end-all and be-all of asset management? How much potential does it really have?

Contents
Why Machine Learning?What Machine Learning Means to Asset ManagersConclusion

Why Machine Learning?

AI-based solutions continue to grow out of necessity as we are in the digital arena where businesses and industries are catapulted into the spotlight, bringing their competitive edge out into the market. The banking and financial industries are no different. 

Business-to-business (B2B) transactions are becoming faster and more secure thanks to various apps and software. Clients or customers can now have safer transactions for investing, saving, borrowing, and spending money. AI has completely changed the way people deal with money and the decisions they make associated with it.

What Machine Learning Means to Asset Managers

On the finance side of businesses, asset management firms are utilizing machine learning with computerized maintenance management systems (CMMS) and data analytics to manage digital assets. 

More Read

machine learning and mesh networks

Machine Learning Improves Mesh Networks & Fights Dead Zones

7 Mistakes to Avoid When Using Machine Learning for SEO
Use this Strategic Approach to Maximize Your Data’s Value
Machine Learning is Invaluable for Mobile App Testing Automation
Top 8 Machine Learning Development Companies in 2022
  • CMMS

CMMS is a product of artificial intelligence that makes it easier for businesses and organizations to manage assets both online and offline. The processes are simplified for maintenance teams to efficiently keep and organize asset records, track archived transaction histories and performance, and set up schedules of tech maintenance. There are sources that feature a list of CMMS tools or more commonly known as CMMS software. 

  • Data Analysis

Machine learning is also an asset manager’s aid as it triggers algorithms to help analyze data sets and make predictions possible. As a form of AI, it goes against code instructions and undergoes the process of trial and error to produce accurate recommendations. 

Securities investments can easily be navigated because asset managers can quickly intervene and make the correct decisions on which direction to take. At the same time, asset managers can use gathered data from other sectors to work around limitations before they can use the insight presented by the ML as well. There is no need for regular approval from stakeholders in making investment decisions since the portfolio managers can do it for them through machine learning.

Data analytics is another science that uses AI and is utilized by analysts to gather information so that they can discern and act on worthy investments. Researching, collecting data, and processing everything they find can be labor-intensive. Partnered with natural language processing (NLP), AI software can pull relevant information from sets of unstructured data. 

  • Risk Management

Machine learning also reinforces cybersecurity and necessitates companies from various industries to tighten their security measures. Internet users have been giving away personal information in exchange for the fair use of services, purchases, and other interactions with online businesses. While consumers have this freedom, it is up to companies to keep their users safe. 

Although there are doubts and complaints on the reliability of machine learning when it comes to cybersecurity, the contribution of AI techs still made an impact when it comes to keeping data safe, whether such data belong to users, customers, or the company itself.

Various cybersecurity domains such as malware and spyware detection are being employed by asset managers. These digital viruses can attach themselves to your computer systems to obtain private data such as credit card numbers and other personal and confidential information. Tech-based companies have been learning various malware patterns to discover countermeasures businesses can use. 

Information-sharing on cold storage was previously considered dangerous because of various networks that can access sensitive data online. Today, machine learning systems employed by e-commerce companies possess the ability to analyze various attempts of information breaches not limited to data transfers to unknown locations, downloading of important data, and login attempts that the company system cannot recognize.

  • For Non-Tech Users

Tech developers continuously create user-friendly ML solutions for data analytics that don’t require coding. The technical side is not managed by the developers themselves. Clients who use the software can focus on running the business instead of carrying the additional burden of managing technical errors.

Conclusion

Machine learning makes it easier for various businesses to manage assets. Relying on it is becoming the norm in response to the demands of the digital age. With faster and easier processes, asset managers can use collected data to create insights and make calculated decisions in case of unforeseen issues.

TAGGED: digital asset management, machine learning
Ryan Kh July 4, 2021
Share This Article
Facebook Twitter Pinterest LinkedIn
Share
By Ryan Kh
Follow:
Ryan Kh is an experienced blogger, digital content & social marketer. Founder of Catalyst For Business and contributor to search giants like Yahoo Finance, MSN. He is passionate about covering topics like big data, business intelligence, startups & entrepreneurship. Email: ryankh14@icloud.com

Follow us on Facebook

Latest News

ai low code frameworks
AI Can Help Accelerate Development with Low-Code Frameworks
Artificial Intelligence
data Analytics instagram stories
Data Analytics Helps Marketers Make the Most of Instagram Stories
Analytics
data breaches
How Hospital Security Breaches Devastate Local Communities
Policy and Governance
analyst,women,looking,at,kpi,data,on,computer,screen
What to Know Before Recruiting an Analyst to Handle Company Data
Analytics

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

machine learning and mesh networks
Machine Learning

Machine Learning Improves Mesh Networks & Fights Dead Zones

7 Min Read
machine learning seo
Machine Learning

7 Mistakes to Avoid When Using Machine Learning for SEO

6 Min Read
analyzing big data for its quality and value
Big Data

Use this Strategic Approach to Maximize Your Data’s Value

6 Min Read
machine learning helps with the testing process for mobile app development
Machine Learning

Machine Learning is Invaluable for Mobile App Testing Automation

9 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?