PaymentsJournal
No Result
View All Result
SIGN UP
  • Commercial
  • Credit
  • Debit
  • Digital Assets & Crypto
  • Digital Banking
  • Emerging Payments
  • Fraud & Security
  • Merchant
  • Prepaid
PaymentsJournal
  • Commercial
  • Credit
  • Debit
  • Digital Assets & Crypto
  • Digital Banking
  • Emerging Payments
  • Fraud & Security
  • Merchant
  • Prepaid
No Result
View All Result
PaymentsJournal
No Result
View All Result

AI/Machine Learning: Predicting A Long Term Market Size Is Impossible

By Tim Sloane
September 20, 2017
in Analysts Coverage
0
2
SHARES
0
VIEWS
Share on FacebookShare on TwitterShare on LinkedIn
Robots Pandemic machine learning

If You Aren’t Thinking About Applying Robots During the Pandemic, Maybe You Should

Incremental thinking can’t possibly capture how broadly machine learning will impact every aspect of business, government, and consumer behavior. This in turn throws into question any effort “to provide reliable and authentic projections of the market” as promised by MarketResearchReports:

“Artificial intelligence (AI) is a technology that allows machines to take decisions based on data collected by them and pre-programmed tasks assigned to them. This technology is expected to transform all sectors of the industry as it reduces laborious work of employees and eliminates human errors. Applications of AI in banking is expected to facilitate various processes of organizations, which will result into enhanced user satisfaction. MarketResearchReports.biz has added a report “The Future of Artificial Intelligence in Banking,” which gives an in-depth analysis about this trend and effects of AI in banking in the future. This study is presented by highly qualified market research professional to provide reliable and authentic projections of the market. Data from both primary and secondary sources have been considered for formulation of this research report. Several aspects of the trend are included to offer 360 degree assessment of effects of this technology on banking sector. Numerous figures are added in the report to allow market players understand various applications of AI in banking.”

New machine learning capabilities will be brought to market faster and faster as the existing tools are applied to enhance existing platforms and create synthetic training data using adversarial networks (which pits one platform against another. This has created artificial languages and can be used to create a large set of training data that can’t be discerned from the original smaller training data set).

Even as the Mercator report “Bringing AI into the Enterprise—A Machine Learning-Primer” was being written, incredible breakthroughs were happening on a weekly basis! Mercator suggests that these machine learning platforms will become Observational Program Development platforms. By observing the events and actions associated with a process, these platforms will eventually be able to deliver greater insights regarding outcomes and will be able to replace the people and software systems that are executing the process today. It is difficult enough to determine what business processes and consumer behaviors machine learning will impact in the next 3 years, much less predict a market size.

Overview by Tim Sloane, VP, Payments Innovation at Mercator Advisory Group

Read the full story here

2
SHARES
0
VIEWS
Share on FacebookShare on TwitterShare on LinkedIn
Tags: AIMachine Learning

    Get the Latest News and Insights Delivered Daily

    Subscribe to the PaymentsJournal Newsletter for exclusive insight and data from Javelin Strategy & Research analysts and industry professionals.

    Must Reads

    fraud as a service

    Keeping Up with the Most Dangerous Fraud Trends of 2026

    December 8, 2025
    open banking

    Open Banking Has Begun to Intrude on Banks’ Customer Relationships

    December 5, 2025
    conversational payments

    Conversational Payments: The Next Big Shift in Financial Services  

    December 4, 2025
    embedded finance

    Inside the Embedded Finance Shift Transforming SMB Software

    December 3, 2025
    metal cards

    Metal Card Magnitude: How a Premium Touch Can Enthrall High-Value Customers

    December 2, 2025
    digital gift cards

    How Nonprofits Can Leverage Digital Gift Cards to Help Those in Need

    December 1, 2025
    stored-value prepaid

    How Stored-Value Accounts Are the Next Iteration of Prepaid Payments

    November 26, 2025
    google crypto wallet, crypto regulation

    Crypto Heads Into 2026 Awaiting Its ‘Rocketship Point’

    November 25, 2025

    Linkedin-in X-twitter
    • Commercial
    • Credit
    • Debit
    • Digital Assets & Crypto
    • Digital Banking
    • Commercial
    • Credit
    • Debit
    • Digital Assets & Crypto
    • Digital Banking
    • Emerging Payments
    • Fraud & Security
    • Merchant
    • Prepaid
    • Emerging Payments
    • Fraud & Security
    • Merchant
    • Prepaid
    • About Us
    • Advertise With Us
    • Sign Up for Our Newsletter
    • About Us
    • Advertise With Us
    • Sign Up for Our Newsletter

    ©2024 PaymentsJournal.com |  Terms of Use | Privacy Policy

    • Commercial Payments
    • Credit
    • Debit
    • Digital Assets & Crypto
    • Emerging Payments
    • Fraud & Security
    • Merchant
    • Prepaid
    No Result
    View All Result