GOOGLE Cloud Platform in AI in Fintech Solutions

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GOOGLE Cloud Platform
Online
California, USA
1998
More than $100 BN
Enterprise
104 Likes
83 Buyers Negotiating

GOOGLE Cloud Platform 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. Request GOOGLE Cloud Platform Pricing to get more information.

Summary

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.

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“I am looking for a AI in Fintech Solutions in north America. My budget is $50,000. Looking to buy in 15 days.”
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GOOGLE Cloud Platform
83 Buyers Negotiating
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Strengths
  • +8
    Customer Support
  • +9
    Sales Support
  • +7
    Technical Support
  • +14
    Dedicated Account Manager (DAM)
  • +12
    Product Demos
  • +13
    Proof of Concept
  • +11
    Software Requirement Specification (SRS)
  • +11
    Chatbot / Personal Finance
  • +10
    Credit Lending / Scoring
  • +6
    Accessible analytics
  • +9
    Asset and Portfolio Management
  • +7
    Cross-platform functionality
  • +10
    Data gathering
  • +7
    Deployment
  • +8
    Fraud Detection
  • +10
    Mode
  • +13
    Money-Laundering Prevention
  • +5
    Personalization
  • +7
    Predictive Analytics
  • +8
    Product Quality and Reliability
Weaknesses
  • -7
    Product Features and Functionality
  • -5
    On-Site Support
  • -6
    Remote Support
  • -5
    Consulting & Training
  • -6
    Support & Maintenance
  • -12
    Automated Customer Support
  • -5
    Billing
  • -9
    Cloud
  • -8
    Insurance Management
  • -7
    Market Research / Sentiment Analysis
  • -9
    No. of Innovations
  • -8
    On-Premises
  • -9
    Product Upgradation
  • -8
    Regulatory compliance
  • -10
    New Product Launches
  • -11
    R&D Spend
GOOGLE Cloud Platform Presence in AI in Fintech Solutions
Google is one of the important players in the AI in Fintech market. To grow its presence in the market, the company is majorly focusing on acquiring AI-based startups, namely, DNNresarch, DeepMindTechnologies, Moodstcok, HalliLabs, and Api.ai. Additionally, the company has increased its R&D expenditure toward the deep learning technology development. Apart from the acquisitions, the company is continuously working on new product launches and product enhancements. For instance, the company, in April 2016, launched Goals in the Google calendar, which applies machine learning to help users with managing the time. Additionally, the company announced its offering, Google Cloud Video Intelligence API as well as cloud machine learning updates. Along with that, the company disclosed its second-generation Tensor Processor Unit (TPU). Furthermore, it is also focusing on the transformation of the mobile-first world to the AI-first world. In the transformation process, the company is adding deep learning, machine learning, and computer visions to all its products. Moreover, the company has a range offerings, such as the Financial Time Series using BigQuery, to cater to the BFSI services and help with analyzing large amounts of data. Additionally, its Cloud Bigtable Schema Design for Time Series Data helps analyze trends in data to make predictions. Apart from this, the company has created a new venture fund that is focused on investing in machine learning and AI companies. Additionally, the company formed a partnership with major tech giants, such Facebook, Amazon, IBM, and Microsoft, to carry out research and promote the best practices.
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