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Prosus

Prosus is one of the world’s largest tech investors. Over the past six years, they have put AI at the heart of their strategic plans.

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Jonathan Frankle, Chief Scientist, Neural Networks, at Databricks, joined their community of over 600 AI practitioners from their portfolio companies at a weekly call to discuss the process of model development with Prosus
Over their 100-year history, Prosus has seen trends come and go
This experience has helped them become one of the largest tech investors globally, with investments in more than 90 companies, covering food delivery, financial services, online classifieds, education technology and more
To accelerate this innovation, Prosus has built a world-class applied AI lab, which brings together more than 600 data scientists across their portfolio

Reported impact

Business outcome

Reported outcomes include Over their 100-year history, Prosus has seen trends come and go; This experience has helped them become one of the largest tech investors globally, with investments in more than 90 companies, covering food delivery, financial services, online classifieds, education technology and more; To accelerate this innovation, Prosus has built a world-class applied AI lab, which brings together more than 600 data scientists across their portfolio.

  • Productivity Improvement

Solution

Prosus is one of the world’s largest tech investors. Over the past six years, they have put AI at the heart of their strategic plans. Prosus turned to Databricks to operationalize generative AI — helping their portfolio companies deploy new use cases and applications that transform customer experiences across industries. Databricks tools from Databricks have made it much faster and cost-efficient for Prosus to bring value to people around the world. It’s also why Prosus understands what a big deal generative AI represents for their portfolio companies. To accelerate this innovation, Prosus has built a world-class applied AI lab, which brings together more than 600 data scientists across their portfolio.

Data flow

Operational, customer, and transactional data lands in Databricks, is transformed in the lakehouse.

Solution architecture

1 components · 1 layer
  1. Compute
    • Databricks Data + AI Platform Provides the shared lakehouse environment for ingestion, engineering, analytics, and AI workloads.

Evidence from the source

Over the past six years, they have put AI at the heart of their strategic plans.
Over their 100-year history, Prosus has seen trends come and go
Prosus is one of the world’s largest tech investors.
This experience has helped them become one of the largest tech investors globally, with investments in more than 90 companies, covering food delivery, financial services, online classifieds, education technology and more
To accelerate this innovation, Prosus has built a world-class applied AI lab, which brings together more than 600 data scientists across their portfolio
Transparency Evidence & methodology 76/100 reference value · 89% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value76/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    4 metrics describe measurable impact.
  • Deployment scale0/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Databricks

    Prosus customer story

    First-party
    https://www.databricks.com/customers/prosus
    Source type
    Vendor-published customer story
    Published
    Feb 29, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Feb 29, 2024 · Databricks · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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