Infosys and Handelsblatt Media Group launched Editorial Link Intelligence (ELI) on June 2, 2026, to enhance storytelling and enrich reader experience. Leveraging Infosys Aster, this AI-powered editorial recommendation engine automates workflows to accelerate content delivery and drive deeper engagement for Handelsblatt and WirtschaftsWoche. The launch marks a milestone in a three-year collaboration where Infosys serves as the official AI & Digital Innovation Partner for the German media group.

Partnership Overview

Developed by Wongdoody, Infosys' human experience agency, ELI analyses article content and metadata to intelligently recommend internal links. This integration into the content infrastructure enables editors to enrich stories without interrupting their workflow, freeing time for qualitative reporting and analysis. The solution aims to modernise editorial operations and deliver context-rich content experiences to a diverse reader base.

Impact on Publishing Ecosystem

The deployment of ELI creates value across the publishing spectrum. For editorial teams, it streamlines link curation and improves operational efficiency. Readers gain a more immersive journey through complex topics via intuitive navigation. For publishers, the tool drives measurable outcomes, including boosting engagement and increasing time spent on the site.

Christian Herp, Chief Product Officer, Handelsblatt Media Group, stated that the tool creates direct value for editorial teams through the targeted use of AI. Charlotte Morré, Member of the Editorial Board, Handelsblatt, emphasized that while the solution enhances the digital user experience, final review and editorial control remain firmly with the newsroom.

Ashiss Kumar Dash, EVP and Services, Utilities, Resources, Energy & Enterprise Sustainability at Infosys, said that by combining Infosys’ expertise with Handelsblatt’s editorial excellence, the companies are creating a blueprint for the future of intelligent storytelling. He added that the technology amplifies journalistic craft by enriching articles with deeper context and smarter navigation.

Source: https://lodr-files.dhan.co/lodr-inputs/Company/INE009A01021/52858a6983f84123.pdf

Infosys has announced the expansion of its strategic collaboration with DNB Bank ASA to modernize the bank's Financial Crime (FinCrime) operations using the NICE Actimize X-Sight Enterprise platform. This engagement aims to transform fragmented, legacy systems into a unified, intelligence-driven, cloud-native platform to enhance risk insights and strengthen multi-jurisdictional regulatory compliance.

Partnership Overview

As the systems integration partner, Infosys will lead the end-to-end modernization of DNB's FinCrime technology landscape. The scope includes enterprise architecture design, platform integration, and data migration. Key functions such as customer and payment screening, customer due diligence, and transaction and fraud monitoring will be consolidated onto a single, scalable SaaS platform.

Strategic Implementation

Infosys will implement the NICE Actimize X-Sight platform to support seamless data integration, advanced analytics, and intelligent automation. The integration of anti-money laundering and fraud solutions is designed to provide a holistic view of customer risk visibility. By leveraging AI-driven capabilities, the collaboration seeks to enable advanced automation, improve detection accuracy, and accelerate investigations with actionable insights.

Executive Commentary

Elin Sandnes, COO and Group Executive Vice President Technology & Services at DNB, emphasized that the collaboration enhances the bank's ability to detect and prevent complex financial crime while supporting digital transformation objectives. Craig Costigan, Chief Executive Officer of NICE Actimize, highlighted that the platform's AI-driven capabilities will help protect DNB from growing fraud and reduce costs. Dennis Gada, Executive Vice President and Global Head of Banking & Financial Services at Infosys, noted that the shift to a unified, intelligence-led operating model allows the bank to detect earlier and respond with greater consistency across jurisdictions.