Data & GenAI Studio
Enabling enterprises to modernize, unify, and govern data platforms with AI-driven insights and next-gen models for smarter decision-making and automation.
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In a new era where AI reshapes how enterprises operate, data has become the foundation for innovation, automation, and growth. As AI accelerates, enterprises must rethink how they manage, govern, and activate data across the business.
From shifting to unstructured data to deploying agentic systems that make autonomous decisions, success now hinges on being truly data-ready. Those who master their data-strategically and operationally-will lead the way in delivering AI at scale.
Wherever you look, you see data, always in motion, and critical to the success of your business. But the journey from raw data to actionable insights is a long and treacherous one, full of both pitfalls and dead ends. This is where Amdocs comes in, your ideal partner from source to execution. Whether you're planning a major modernization or spearheading a business unit led project, our holistic end to end framework uses advanced technology to make sure you'll reach the end of your data journey successfully. Our team has extensive experience integrating with core platforms. As a result, we can ensure data integrity with minimal impact on your day to day operations. Amdocs architects and builds data in a way that perfectly aligns with your new systems, significantly reducing your time to value. But streaming your data is one thing, making sense of it is another. Amdocs has leveraged its global experience and modeled the data of hundreds of CSPs, creating best practices, KPIs, and generative AI tools that unlock profound insights and drive measurable business impact. With Amdocs Data Intelligence solutions, gain an insight, change a policy, and enact it with just a few keystrokes. Mastermind your data journey with Amdocs Data Intelligence Solutions.
Data & GenAI Services
The Amdocs Data & GenAI Studio delivers a full-spectrum offering that spans every layer of enterprise AI readiness-from strategic planning and data modernization to real-time analytics and domain-native agents.
With deep domain expertise, AI-first capabilities, and proven execution models, we help enterprises design trusted data strategies, activate intelligent workflows, and accelerate the path from AI potential to business performance.

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Data Sources
Structured Data
Unstructured Data
Semi-Structured
Real-Time & Streaming Data
External / Third Party Data
Enterprise Data
Engagement Channels
Chat
VA Chat
Social
Web
SMS
Voice
IVR
VA Voice
Video
Mobile
Business Processes
Customer Experience
Oppressional Efficiency
Risk Assurance
Revenue Growth
Employee Productivity
GenAI & Intelligent Agents
AI Value Chain
AI-Ready Data
Data Strategy
AI Technology



Data Fabric



Infrastructure: Cloud /on-prem/hybrid



Key Features & Benefits
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faster time to insights
data and AI experts
track record
Tier-1 migration processes
use cases implemented
NPS increase
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increase in ARPU
reduction in OPEX
Recognized as a Leader in the 2024 Gartner® Magic Quadrant™ for AI in CSP Customer and Business Operations.
Data & Gen AI Customers Success Stories
In many of our countries, we have people on the ground to sell our products, visiting telecom operators' shops and to try to optimize sales. The challenge is that in many countries, well, the territory is quite wide and being able to optimize the location of people is fundamental to increase the sales as much as possible, keeping the same number of people on the ground. The first contact with Amdocs was quite natural. Most of our data is hosted onto Databricks and we knew that Amdocs was specialized on two piece technology and we were looking for partners knowing this technical stack but also being able to bring expertise in data science. Working with Amdocs Studio on the Baltic sales ambassador project, this really helped them understand clean data such as the store locations, device protection, warranties, and really helped them optimize efficiencies for their users, but then also help which stores to optimize and which ones to visit at the right time. In this specific case, what we did is we were able to optimize the cost of running the model on AWS by eighty percent. What that does is it avoids bill shock for the customer. ABBOX Studios are a fantastic partner of Databricks. Really built a strong data and AI practice delivering results for highly regulated and security conscious industries. They've built a very strong data and AI practice using data risk enablement and this has really helped us with the BALTAC project which was had really tight timelines, helped deliver on time, quality within the cost time frames. Amdocs is particularly strong in outcome based engagements because we're able to bring all of our capabilities to bear to deliver an impact. In terms of revenue, right, the famous KPI, our test has been nine months already. The computation gives two point three percent increase in terms of revenue. And if you think about it, same resources, you don't change the rest per se. You just optimize the route of your salespeople so that they go to the store where you detect that the performance is a bit lower or that perhaps needs a bit more visit. Then magically, by the power of data science and engineering, together, then instead of making one hundred, you make one hundred and two point three. That's quite some feeling. Project, we are not only engineers coming with ideas and fancy models. We are people, I would even say enablers. So that's created proximity, performance and prepared the terrain for the future. Looking at the success of the project, I think it's safe to say that we'll continue working with Amdocs because this one is the first of many pain points we would like to solve.
Our relations with VMO to stretches over the past twelve years. Over the years, we have grown to understand their business needs, their customer base, and we work together with them hand in hand. What I find from the growth services team at Amdocs is really their ability to listen and to respond to it with options that are deliverable. To be successful with CVM programs, you really have to be able to handle the customer on a one to one basis. You need to understand what they're doing and to some extent why they're doing it. What we do in a program with Amdocs is have capabilities that allow us to do that by picking up what customers do through their behaviors and monitoring that through the data that we have available and then having sets of rules that allow us to respond to those behaviors and try and keep the customer with you and make an appropriate offer to the right customer in the right place at the right time. We have a promotion that's recently run-in the UK to acquire customers on pay as you go and the program that we deliver with Amdocs on acquisition means that we're able to automate those decisions, set them up exactly as the business case says and the return on investment says is appropriate and then we can let the system run and we get to see the results at the other end with all the monitoring and reporting that we need to manage our business. For this project, we wanted to concentrate on the first three months of the customers because if the customers bridge these three months, we know that they will stay customer for a long time. By having continual engagement with the customer through the set of offers that we have deployed, we see an increase in our active rate. And we see tens of thousands of additional active customers as they're defined each month because of the way that we engage the customer through one to one marketing. That gives us the opportunity and the privilege to approach more customers to then try and cross sell other services to them. With VMO2, we provide end to end service. We're starting with analyzing the database, understanding what are the trends, what are the opportunities, what are the risks, what are the drivers to each behavior that we see. And we create data driven marketing plans. The Amdocs team are going to not just sell you the initial solution to your problem, they will try to look to add some value from the understanding of the insight of what you're trying to do for customers. We're lucky to be working with a partner that understands what you need to do and they will respond to those customers' needs and help you design approaches that can keep those customers with you for as long as you possibly can.
As we know it, innovation thrives on data. But without the right infrastructure, Mills has struggled to scale AI driven insights. Vodafone Italy has successfully completed one of the largest enterprise data migration from on prem to Google Cloud, setting a benchmark for transformation at scale. By using Google Cloud's AI analytics solution along with Amdocs' logical data model, they transform their enterprise data platform, streamlining data pipeline, and also enhancing AI capabilities. So let's hear now from Mastiva Guarino and Arash Rao as they share their perspective on a joint solution and the partnership that made this transformation such a success. We adopted our co development strategy. Fifty percent was internal Vodafone resources, and fifty percent was through our partners. We have a strongly skilled internal team in Vodafone Italy, and we were looking for the best partners to help us on this journey. The Ando's contribution as integrator was crucial, to their tech knowledge applied to the data domain, and then the adoption of the ETM Forum ALDN data model. On top of collaboration skills, the commitment. All parties were super engaged by the opportunity to deliver such an ambitious project. We are now available to take decision in real time and better serve our customer needs and all their journeys in all the channels. We centralized our quality, security, and privacy framework to minimize the related risk. And then with Gemini AI, natively integrated in our code development process, we have improved our data ingestion productivity for eight times and also got improvement on coding and documentation production. Last but not least, the costs. We have reduced our data warehouse overall running cost about forty five percent. You know, the Amdocs comes with a very strong domain expertise. They understand the telco landscape. It's very important for a partner to understand how the telco functions and who are the key stakeholders and what is the end customer outcomes that they want to achieve. The partnership with Androx and Google will also help the telcos not just being a connectivity provider to actually be a techno technology provider. Right? I think also that's very important because they can serve their customers better. They can help their customer engagement much faster. They can help the customer satisfaction. Eventually, it it is a better connectivity mode.
Our business generates so much data. Much of it is unstructured. In order for data to be useful, to create value for the customers, is you need to generate insights. And those insights translate into offers, specific offers, contextual offers. And by doing that, it allows us to totally transform how we talk, communicate with customers. Engage helped us integrate both the inbound and outbound channels, you know, which which before was very difficult to do. We call it mass customization, where basically we customize efforts for a great big number of people across all sectors, across all segments, age groups, life stages. That makes a lot of difference. It created very specific customer profiles. It allowed us to sort of customize our offers. Well, through Engage, Amdocs provided us with expertise. They sent us a team that actually helped us get things going with their experts. We got it right. Amidst all the data that we collect, we're now able to use it to provide better customer service, to provide better offers, where basically it allows us to give her an offer consistent to what she needs at any particular time. Therefore, it completes sort of the end to end journey. Engage allows us to sort of scale this capability. The benefits were exponential. The reach was quadrupled, pintopled. It allowed us speed. It allowed us scale, and that to me is a game changer. The way companies approach customers will change and is changing from above the line mass media to specific one on one marketing, and that's what Engage allowed us to do. To me, that makes a lot a whole world of difference.
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Gartner, Magic Quadrant for AI in CSP Customer and Business Operations, By Pulkit Pandey, Amresh Nandan, Peter Liu, 4 June 2024. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Press Release: Amdocs Named Snowflake Telecom AI Data Cloud Services Partner of the Year 2024
Press Release: Three UK Harnesses Data to Drive Personalized Customer Experience with Amdocs
Study: Over 75% of Service Providers Believe Investment in Data Modernization Crucial to Realizing Generative AI’s Full Potential