Carru, 12061,
Italy
Banca Alpi Marittime Italy Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Banca Alpi Marittime Italy and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 201 Banca Alpi Marittime Italy employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Banca Alpi Marittime Italy has purchased the following applications: IBM SPSS Modeler for ML and Data Science Platforms in 2019, Tawk.to for Chatbots and Conversational AI in 2016, Microsoft 365 for Collaboration in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Banca Alpi Marittime Italy is running and its propensity to invest more and deepen its relationship with IBM , Tawk.to , Microsoft or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Banca Alpi Marittime Italy revenues, which have grown to $130.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Banca Alpi Marittime Italy intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IBM | Legacy | IBM SPSS Modeler | ML and Data Science Platforms | AI Development | VAR Group | 2019 | 2020 |
In 2019, Banca Alpi Marittime Italy deployed an AI-driven Credit Scorecard approvals engine using IBM SPSS Modeler within its ML and Data Science Platforms environment to automate consumer and small business credit line renewals and applications in the Piedmont region. The implementation used IBM SPSS Modeler as the primary modeling and scoring runtime and targeted the bank's retail and small business lending workflows to accelerate decisioning and improve customer service.
The technical implementation centered on scorecard development, automated decision rules and production model scoring pipelines built with IBM SPSS Modeler, with model deployment and inference orchestrated to support automated approvals. The solution was configured to escalate higher risk or complex cases for manual review while automatically resolving standard renewals, enabling the engine to vet roughly 50% of credit requests automatically.
Delivery and operationalization were executed with IBM partner Analytics Network S.r.l. and supported by VAR Group, ensuring transfer of models into daily lending operations. Operational coverage included credit underwriting, retail operations and front office customer service teams across the Piedmont region, with scoring outputs embedded into the bank's approval workflows and case handling processes to drive straight through processing for eligible requests.
Governance was organized around model monitoring and approval workflows overseen by credit risk and compliance stakeholders, with procedural changes to routing and exception handling to reflect automated decision thresholds. The deployment freed approximately 10 full time equivalents for other tasks and achieved rapid return on investment within months as stated by the bank, while maintaining explicit human review for nonstandard cases.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Tawk.to | Legacy | Tawk.to | Chatbots and Conversational AI | AI-Powered Application | n/a | 2016 | 2016 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2019 | 2019 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Web Content Management | Content Management |
|
2017 | 2017 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Marketing Analytics, Marketing Automation | CRM |
|
2010 | 2010 |
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Tag Management | CRM |
|
2023 | 2023 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Transactional Email | PaaS |
|
2016 | 2016 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Content Delivery Network | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Domain Name System (DNS) | IaaS |
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2020 | 2020 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Secure Email Gateways (SEGs) | CyberSecurity |
|
2019 | 2019 |
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Secure Sockets Layer (SSL) | CyberSecurity |
|
2016 | 2016 |
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Secure Sockets Layer (SSL) | CyberSecurity |
|
2023 | 2023 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2023 | 2023 |
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