AI Buyer Insights:

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

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Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Banca Alpi Marittime Italy Tech Stack and Enterprise Applications

Banca Alpi Marittime Italy AI Development
Vendor
Previous System
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Category
Market
VAR/SI
When
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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.
Banca Alpi Marittime Italy AI-Powered Application
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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
Banca Alpi Marittime Italy Collaboration
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Previous System
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Category
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VAR/SI
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Insight
Microsoft Legacy Microsoft 365 Collaboration Collaboration n/a 2019 2019
Banca Alpi Marittime Italy Content Management
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Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Web Content Management Content Management 2017 2017
Banca Alpi Marittime Italy CRM
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Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Marketing Analytics, Marketing Automation CRM 2010 2010
Tag Management CRM 2023 2023
Banca Alpi Marittime Italy PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2016 2016
Banca Alpi Marittime Italy IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Content Delivery Network IaaS 2017 2017
Content Delivery Network IaaS 2020 2020
Domain Name System (DNS) IaaS 2020 2020
Banca Alpi Marittime Italy CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Secure Email Gateways (SEGs) CyberSecurity 2019 2019
Secure Sockets Layer (SSL) CyberSecurity 2016 2016
Secure Sockets Layer (SSL) CyberSecurity 2023 2023
Secure Sockets Layer (SSL) CyberSecurity 2023 2023

IT Decision Makers and Key Stakeholders at Banca Alpi Marittime Italy

First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Banca Alpi Marittime Italy Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Banca Alpi Marittime Italy IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Banca Alpi Marittime Italy digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Banca Alpi Marittime Italy Technographics
Banca Alpi Marittime Italy is a Banking and Financial Services organization based in Italy, with around 201 employees and annual revenues of $130.0 million.
Banca Alpi Marittime Italy operates a diverse technology stack with applications such as IBM SPSS Modeler, Tawk.to and Microsoft 365, covering areas like ML and Data Science Platforms, Chatbots and Conversational AI and Collaboration.
Banca Alpi Marittime Italy has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as IBM, Tawk.to and Microsoft.
Banca Alpi Marittime Italy recently adopted applications including Google Tag Manager in 2023, DigiCert SSL in 2023 and Thawte SSL in 2023, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Banca Alpi Marittime Italy’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Banca Alpi Marittime Italy’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
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