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5 misconceptions about AI security: Here's where the real risk exists
Across all the AI deployments I've reviewed in a range of industries, one pattern stands out: Organizations are looking for risk in the wrong place. Their focus tends to settle on the model itself, including its training data, safety controls and behavior. But in practice, that's rarely where things break down.
- April 30, 2026
- Global
Technology Solutions
The State of Digital Humans
Digital Humans are emerging as a new class of intelligent interfaces that combine realistic avatars with AI to deliver natural, task-oriented interactions. Built on four layers - avatar interface, AI conversation engine, orchestration layer, and integrated external systems - they move beyond chatbots to become always-available digital workers. Adoption is accelerating due to advances in generative AI, real-time rendering, speech synthesis, and enterprise pressure to automate and reduce costs. Key use cases include customer concierge services, HR onboarding and support, banking assistance, healthcare coordination, and public-sector service interfaces. Looking ahead, Digital Humans will become proactive, autonomous coworkers optimized for sustainability, context retention, and experience quality.
- April 27, 2026
- Global
Digital Human
ServiceNow in Action: Revolutionizing Medical Device Management and Pharma Lifecycle Implementations
The NTT DATA Life Science Forum 2024: ServiceNow Hour highlighted the integration of ServiceNow into the life sciences industry. The event underlined ServiceNow's capabilities in automating workflows and ensuring regulatory compliance, particularly in Japan, and its expertise in enterprise medical device management in the North America pharmaceutical sector.
- October 11, 2024
- United States
Life Sciences & Pharma
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Data fabric for the pharmaceutical industry: a game changer
Data integrity and management play a vital role in life sciences. NTT DATA's GxP Data Fabric is a pivotal solution for managing data to improve usability, security, auditability and compliance. Watch a webinar by Ruud Nieuweboer, Global Head of Life Sciences at NTT DATA Business Solutions, to learn more about using this specialized cross-system platform as a tool for advanced analytics, AI and collaboration within and outside organizations.
- October 9, 2024
- Global
Life Sciences & Pharma
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Navigating the Pharma Data Revolution
In this webinar, Phil Rust, Lead Enterprise Architect, Healthcare at NTT DATA UK and Harsh Gandhi, Chief Information and Digital Officer at AstraZeneca Japan discuss the key technical, operational and strategic benefits of RWE implementation and process optimization. Phil and Harsh delve into the role of system integrators, future trends for both technology and industry stakeholders, and the challenges and opportunities that face the industry.
- June 28, 2024
- Global
Life Sciences & Pharma
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Digitally Transforming Life Science at DIA Europe
NTT DATA attended DIA Europe 2024, one of the largest international conferences for both professionals and stakeholders in the pharmaceutical and medical device industries.
- June 25, 2024
- Global
Life Sciences & Pharma
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The National Cancer Center Hospital, Japan: Cutting-edge Drug Discovery in the Modality-Driven Era
Japan, as a world leader in patent competitiveness and advanced technologies for cancer treatment, is in the process of developing a reliable strategy for drug discovery. This strategy will cover the whole process, from the creation of promising techniques to the successful development of new drugs.
- March 22, 2024
- Global
Life Sciences & Pharma
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Support for Assessing Therapeutic Efficacy in Patients with Inflammatory Bowel Disease through Unstructured Data in Electronic Health Records
At NTT DATA, we recently worked with Ono Pharmaceutical Co., Ltd. on a research study analyzing unstructured electronic health records (EHRs) data from patients with inflammatory bowel disease (IBD). The study aimed to identify the characteristics of IBD patients who exhibit resistance to medications, understand real-world treatment situations, and ultimately improve care. The aim of this project is to perform morphological analysis on electronic health records texts and have text mining processes to extract keywords characteristic of treatment-resistant patients. Rather than conducting extensive analyses such as building AI models, the focus will be on these text-based approaches.
- March 1, 2024
- Global
Life Sciences & Pharma
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Navigating the Pharma Data Revolution with AstraZeneca
Join our exclusive webinar with NTT DATA and AstraZeneca Japan healthcare technology executives for an expert discussion on RWE in commercial and medical fields, and the challenges — and benefits — of implementing effective patient and clinical big data analytics.
- January 26, 2024
- Global
Life Sciences & Pharma
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Streamlined Shipment Inspections at Otsuka Pharma
NTT DATA Introduces New System to Support the Pharmaceutical Product Shipment Inspection Process at Six Otsuka Pharmaceutical Domestic Factories
- October 25, 2023
- Japan
Life Sciences & Pharma
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Search and Extract data from RWE medical papers with Almirall
This project focused on constructing an NLP-based solution that allows researchers to extract information from RWE medical papers in different formats in which they tested the effect of an active principle in patients with atopic dermatitis.
- June 26, 2023
- Global
Life Sciences & Pharma Data & Artificial Intelligence
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Four Steps to a Digitally Enabled Post-COVID Life Sciences Enterprise
- June 2, 2022
- United States
Life Sciences & Pharma Innovation
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Three Realities That Every Life Sciences Enterprise Must Face in their Post-Pandemic Digital Transformation
- April 29, 2022
- United States
Life Sciences & Pharma Innovation
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