We believe that data is the most essential asset for any organization that aims at effectively operating in the digital world. Our mission is to drive transformation through Data & Intelligence. Bringing innovation and foresight to address client challenges as a trusted partner with a complete portfolio of Data & Intelligence services.
Our Data and Intelligence (D&I) Strategy considers the following key pillars to accomplish our objective:
In an increasingly competitive environment, with rapid digitalization and high-speed technology rolls, companies in all sectors need to accelerate their innovation process and adoption of new strategies and technologies. Building trust, betting on talent and literacy, boosting AI functions and leveraging the cloud are the main challenges facing organizations.
As an answer to this and relying on the power of data as a core foundation and Artificial Intelligence capabilities as a transformation lever, NTT DATA has developed its own Data and Intelligence framework to guide their clients to become Data and Intelligence driven, covering the end-to-end needs of organizations.
The framework gathers all the expertise and know-how of NTT DATA, providing an end-to-end multidisciplinary vision that includes all business areas. Business Value, Responsible Governance, Core Tech & Next Gen Operations, Ecosystem & Innovation, and Culture & Change management are the different domains that compose the framework and that allow companies to become a Data and Intelligence driven organization.
David Pereira Paz
Head of Data & Intelligence, NTT DATA EMEAL
Telecommunication Engineer by the University of Vigo and PDD by IESE Business School. Partner of the Technology Unit at NTT DATA EMEAL, he is currently responsible for the Data & Intelligence area for Europe and Latam regions and the Artificial Intelligence Center of Excellence of the NTT DATA group worldwide. He collaborates as an external professor in Digital Business Schools such as ISDI and for the MBA program of IESE Business School, where he gives lectures related to Digital Transformation and Artificial Intelligence.
Data & Intelligence (D&I) strategy aims at aligning D&I initiatives with strategic objectives, creating synergies between business lines setting ongoing planning mechanisms and coordination processes. We provide advisory services to help companies build their AI strategy foundation, defining standards & procedures to scale, identify & manage risks related to D&I projects, and fostering responsible use of data and AI algorithms.
Data is the most essential asset for any organization that aims to leverage analytics and AI to deliver outstanding customer experiences and generate market competitiveness. We provide advisory services to support clients in choosing and implementing the best-of-breed solutions for collecting, organizing, consuming, and governing all of their data.
Reporting and Business Intelligence processes aim at providing actionable information to decision-makers in the fastest and most effective way. These processes are vital for every organization that aims at making data-driven, informed decisions.
We provide advisory services to support clients in defining business KPIs and implementing reporting and Business Intelligence solutions. We cover everything from the tools selection to the implementation of these solutions.
AI is one of the most important technologies that will continue to significantly impact all industries in the years to come. We provide end-to-end AI and ML services covering everything from the design to the development of AI solutions with a strong focus on AI ethics and AI service design.
D&I governance focuses on providing the standards and controls to translate data and AI-driven initiatives into trusted solutions that generate sustainable business value. We support clients in defining and implementing their governance model across the organization and operations.
Data and AI architectures are the keys to implement solutions that unlock the value from data at scale. In the last few years, we saw an explosion in the number of tools and platforms that, if wisely combined, allow organizations to build and release high-quality data and AI products efficiently.
We provide advisory services to help clients define scalable data and AI architectures that leverage the best-of-breed products/platforms and follow best software development practices.
8,000 + Professionals
NTT DATA’s Data & Intelligence practice consists of over 8,000 professionals providing services to Fortune 500 clients in all geographies.
NTT DATA provides end-to-end Data & Intelligence services covering the whole cycle of value generation from strategy to the execution of Data & Intelligence projects with a strong focus on innovation, data and AI governance, and AI ethics.
Flexible Delivery Model
With delivery centers in 70+ locations across 25+ countries and 10+ innovation centers worldwide, NTT DATA offers a flexible delivery model that combines near-shore and offshore capabilities. These enable clients to get the best of NTT DATA’s skills and resources for project-based or long-term managed services engagements.
European Telco Client - Data Strategy Assessment & Definition
Definition, at a corporate level, of a Data Governance federated-global model and proposal of a data-mesh architecture, allowing the standardization of data management and democratization of information, enabling information sharing by eliminating silos. This Strategy will be implemented in four regions where the client operates.
European Utilities Client - MLOps Framework Implementation
The client required the creation of an MLOps System to manage their existing algorithms. Its implementation improved their management of ML models and Data Science pipelines, automated workflows, shortened time to market, and proposed new open-source technologies that allowed them to achieve the flexibility requirement, since they may be replaced in the future by any cloud-native storage.
Global Oil & Gas Client - Building an API in Azure to Securely Access Data from Snowflake
Following the client's necessity for a fast and automated API to feed data from Snowflake to other internal applications, NTT DATA, within 3 months, was able to provide an operational API with low maintenance costs in Azure Functions. Allowing for future scaling and increasing the client’s value, through innovation in data processes and cost load reduction.
European Utilities Client - Corporate Data Intelligence Tool and Governance Deployment
To tackle the customer's challenges, NTT DATA upgraded their D&I Tool and the customer can now use it as self-service by creating and analyzing their own data. Moreover, a Data Governance Model was implemented, a corporate solution to gather, consolidate and provide organized data. As a result, end-user adoption rates improved by 80% for each focused business area while license and maintenance costs decreased.
European Bank Client - DaaS MLOps
In response to our banking client's lack of a Data Platform, NTT DATA delivered a cloud-native, IA-oriented data platform on Microsoft Azure cloud, providing advanced analytical services leveraging in-house accelerators to simplify deployments of new use cases in order to make the information available to the different business units.
Global Tech Client - Data from 10 Million IoT Devices into the Snowflake Data Cloud
In one month, NTT DATA was able to deliver a solution by leveraging AWS that gave the client immediate cost-saving benefits, more reliable and accurate analytics as well as improved service quality, and the ability to debug issues down to a granular level.
US Industry Client - Modernize Data Management and Retire Overpriced Legacy
We modernized the expensive and high-effort maintenance legacy data platform of the client through the development of a migration strategy and roadmap to Snowflake. NTT DATA developed the architecture and approach, and migrated/implemented 10+ analytics systems to the new common Entereprise Data Warehouse architecture on Snowflake. Now we manage the entire Snowflake ecosystem ongoing Roadmap for migration of additional 50+ systems to snowflake (in-flight).
European Automotive Client - Microsoft Migration
Our client was looking forward to starting the digital transformation process leveraging Microsoft tools, therefore, we integrated Power BI services in the Microsoft ecosystem, building end-to-end cloud solutions and merging more than +5 different source systems to Azure Data Factory.
European Utilities Client - Analytical asset to consolidate, monitor, analyze, forecast, & optimize energy market business.
Due to recent energy market developments, the client required a set of analytical improvements focused on energy production and consumption, by selling and buying energy in the market in an optimized way. The processing time for each energy buy offer and sale offer simulation scenario has been reduced by more than 10 times thanks to NTT DATA's solution, allowing for faster operations on the Iberian Peninsula's Day-Ahead Energy Market.
European Bank Client - AI Labs
By leveraging the AI Labs methodology, different Cloud capabilities were explored for our banking client. This exploration would shape the overall understanding of the AI Cloud market, allowing our client to leverage state-of-the-art tools and techniques that Cloud providers are continuously incorporating into their portfolios and concentrate its talent and funding on the quest for the most adequate ways to solve the business challenges.
H2020 Public Sector / Health Client - ADLIFE
The project aims to improve patients' overall quality of life by creating a microservice that integrates six predictive models, each of which is related to a different pathology. The purpose is to examine the benefits and drawbacks of a use case in terms of scalability and performance in a practical manner.
Download our latest whitepapers to learn more about Data and Intelligence.
In this paper, we will explain what Decision Intelligence is, its definition, growth forecasts, domestic and international trends, challenges to be solved and their effects, as well as the concept of application areas. We will also consider the future of decision making brought about by Decision Intelligence, with a particular focus on automation through the application of AI, and the impact of the expanded scope of AI application on business operations.
Few-shot Learning in Natural Language Processing
To get a good grasp of the latest few-shot learning techniques for NLP, we investigated PLM-based few-shot applications provided in real-world services. In the theoretical perspective, NLP few-shot approaches in fundamental research were also taken into consideration.
Well-being and Technology
This document introduces initiatives about well-being in Japan and abroad, followed by the reason why well-being should be relevant to us. Then, we will show the processing model to support individual well-being that NTT Data designs and introduce technical frameworks for the purpose and client analyzing AI of NTT Data.
The AI Labs offer a 3-block approach for ideating fast AI initiatives that tackle the business needs and technological hurdles in an innovative way, involving a wide range of critical roles under a common working methodology for the development of D&I projects, and finally, leveraging cloud capabilities that can be embedded throughout the entire AI Lifecycle that enable to scale Digital Intelligent Services.
AI Driven Design and Prototyping Studio
To materialize your previous D&I initiatives and boost the percentage of disruptive AI prototypes, we provide our Rapid Prototyping Studio, which consists of a controlled experimentation environment where in a few iterations designs and products can be refined and validated so that only the right products are released.
Technology Stack for AI Prototyping
In this guide, we present the need of prototyping AI projects, expose the game changer technologies that allow the rapid and agile prototyping of this kind of projects and introduce our very own AI Prototyping Tech Stack.
AI for Business Values Generation
We bring to our clients the “AI FOR BUSINESS VALUE GENERATION”. A guide to address business challenges, elevate business models to the next step and lead market disruption in this new environment by harnessing D&I capabilities.
Within AI governance, we identify the following three key domains to support the definition of solid AI-Driven Organization foundations: 1. AI Strategy, 2. AI Organization, and 3. AI Operational Lifecycle.
Getting Ready for Trustworthy AI Regulation
We look forward to supporting organizations to start ahead at defining the Trustworthy AI journey and transform the challenges into a new competitive advantage by harnessing our Responsible AI-driven solutions and methodologies with an end-to-end approach aligned with the provisions of the new AI regulation.
Artificial Intelligence in the Financial Sector
The finance sector (and banking in particular) is one of the industries with the greatest possibility for both potential and real applications of AI. Its capacity to generate information, its heavy volume of transactions and the quantitative character of industrial activity mean it is fertile land for cultivating all the possible benefits of AI methods.