GOOGLE Cloud Platform in AI in Fintech Solutions

Google Cloud Platform recognizes trends in large datasets from diverse sources and effective and secure consumption models, and helps archive large amounts of sensitive data. Additionally, Google offers machine learning with the Financial Time Series Data solution, which helps acquire data for a range of financial industries, to manage acquired data into a usable format and carry out data analysis.

USP : Google Cloud Platform is able to recognize the trends in large datasets from diverse sources and archive large amounts of sensitive data. To keep up with massive computing demands, financial institutions like HSBC are moving their data to Google Cloud Platform (GCP). GCP runs on the same infrastructure and private fiber network that power Google, offering the client the scale needed to run training algorithms, portfolio analysis, and risk modeling at the speed of their business.

BUYERS
VENDORS
1.2
EXPERTS
4.2
ANALYSTS
 

GOOGLE Cloud Platform detailed analysis

Product Maturity
Company Maturity
Use Case Maturity
Most IMPORTANT
0.0
0.0
0.0
Product Features and Functionality
3.90
4.40
4.45
Product Quality and Reliability
2.70
3.40
3.10
Deployment
2.90
3.30
3.30
Services
4.20
4.55
4.30
LEAST IMPORTANT LESS IMPORTANT

PARTICIPATING QUADRANTS

GOOGLE Cloud Platform has chosen it’s strengths in these 3 territories
  • Niche Quadrant

    All-Europe

    35 Participants

  • Niche Quadrant

    All-Middle East and Africa

    25 Participants

  • Niche Quadrant

    All-Asia-Pacific

    32 Participants

REGIONS
North America Latin America Middle East and Africa Asia-Pacific Europe
STRENGTHS
  • Product Maturity / Business Analytics and Reporting / Busine...
    Good Reporting Functionality
    Google Cloud Platform seamlessly integrates with third-party visualization tools for real-time exploration of most complicated data problems. Drive more holistic financial, regulatory, and customer service reporting with its big data tools. Show More
  • Product Maturity
    Better Services
    With Google Cloud''s machine learning services, user can more effectively manage risk, streamline operations, create more personalized customer experiences, improve transaction monitoring, develop better quant models, generate alpha, and more. Show More
  • Product Maturity / Support Services
    Customer Support
  • Product Maturity / Support Services
    Sales Support
  • Product Maturity / Support Services
    Technical Support
  • Product Maturity / Pre-Sales Support Activity
    Dedicated Account Manager (DAM)
  • Product Maturity / Pre-Sales Support Activity
    Product Demos
  • Product Maturity / Pre-Sales Support Activity
    Proof of Concept
  • Product Maturity / Pre-Sales Support Activity
    Software Requirement Specification (SRS)
  • Product Maturity / Business Analytics and Reporting
    Business Finance & Expense Reporting
  • Product Maturity / Business Analytics and Reporting
    Data gathering
  • Product Maturity / Customer Behavioral Analytics
    Debt Collection
  • Product Maturity
    Deployment
  • Product Maturity
    Product Quality and Reliability
  • Product Maturity / Core Features
    Cross-platform functionality
  • Product Maturity
    Services
  • Product Maturity / Customer Behavioral Analytics
    Chatbot / Personal Finance
  • Product Maturity / Customer Behavioral Analytics
    Credit Lending / Scoring
  • Product Maturity / Customer Behavioral Analytics
    Asset and Portfolio Management
  • Product Maturity / Business Analytics and Reporting
    Fraud Detection
WEAKNESSES
  • Product Maturity / Core Features / Accessible analytics
    Limited Access
    User needs to close and re-open the instance to see a new file appear or something similar. Communication between GCP and the information available from a course connected to the platform could be more accurate. Show More
  • Product Maturity / Mode / Cloud
    Not user friendly
    When opening the dashboard for the first time, you can click on the menu to access an impressive long list of available products. Since there are so many aspects to learn, it is very useful to have a shortcut next to each item that goes directly to the most relevant documentation page on the subject. Show More
  • Product Maturity / Product Enhancement Development
    New Product Launches
  • Product Maturity / Product Quality and Reliability
    R&D Spend
  • Product Maturity / Mode
    Cloud
  • Product Maturity / Customer Behavioral Analytics
    Automated Customer Support
  • Product Maturity / Customer Behavioral Analytics
    Billing
  • Product Maturity / Business Analytics and Reporting
    Market Research / Sentiment Analysis
  • Product Maturity / Product Quality and Reliability
    No. of Innovations
  • Product Maturity / Mode
    On-Premises
  • Product Maturity / Product Enhancement Development
    Product Upgradation
  • Product Maturity / Business Analytics and Reporting
    Regulatory compliance
  • Product Maturity / Core Features
    Accessible analytics
  • Product Maturity / Services offered
    Consulting & Training
  • Product Maturity / Services offered
    Support & Maintenance
  • Product Maturity / Medium of Delivery of Support Services
    On-Site Support
  • Product Maturity / Medium of Delivery of Support Services
    Remote Support
  • Product Maturity
    Product Features and Functionality
  • Product Maturity / Customer Behavioral Analytics
    Insurance Management
See More

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TOP FEATURES
  • Product Features and Functionality
    Business Analytics and Reporting
  • Product Features and Functionality
    Customer Behavioral Analytics
  • Product Features and Functionality
    Core Features
  • Business Analytics and Reporting
    Business Finance & Expense Reporting
  • Business Analytics and Reporting
    Data gathering
  • Customer Behavioral Analytics
    Debt Collection
  • Core Features
    Money-Laundering Prevention
  • Core Features
    Simplified user experience
  • Support Services
    Technical Support
  • Core Features
    Personalization

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GOOGLE Cloud Platform Presence in AI in Fintech Solutions

Questions & Answers

TOP REVIEWS

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Internal Analyst,MnM
Internal Analyst, MnM
#5 in AI in Fintech Solutions

“Virtual Assistant in Fintech"

(*)(*)(*)(*)( )4
Google offers a chatbot service via its Google cloud platform. Developers can use Google chatbot APIs to integrate chatbot functionality into financial solutions. Google offers machine learning with its Financial Time Series Data solution, which helps obtain data for a range of financial industries to munge acquired data into a usable format and carry out data analysis.
Other,Company Name Classified
Other, Company Name Classified
#5 in AI in Fintech Solutions

“Overall a complicated solution"

(*)(*)(*)(*)( )4
We used the Google cloud for our SaaS offering for the fintech market. Implementation was relatively quick, however migration from AWS was a very complex affair, which we completed in stages. After deployment on the GCP, our data scientists tried the Google Cloud AI solutions. The primary challenges are in importing data and in collaboration between various user groups. We currently have an in-house stack for testing AI that can consume data from the Google Cloud Platform, and the team continues to use that.

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Marie Stelle

Engagement Partner - 360Quadrants.com