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How Nagarro Is Shaping The Future Of AI With Innovation

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Nagarro is leading AI innovation by merging engineering excellence with responsible AI practices.

Artificial intelligence (AI) has undergone a massive transformation over the past decade, evolving from narrow applications in machine vision and predictive modelling to the more complex and versatile world of generative AI (GenAI). The recent popularity of OpenAI’s ChatGPT and the emergence of similar GenAI models since then, has made this space more competitive.

Leading this shift is Nagarro, a global product engineering company that has been at the forefront of AI innovation. In conversations with Anurag Sahay, MD and Head of Data and AI at Nagarro, and Ananda Sengupta, MD, Head of Telecom at the company, we explored how Nagarro is differentiating itself in the competitive AI landscape, tackling challenges, and ensuring responsible AI development.

Evolution into Generative AI

Nagarro embarked on its AI journey in 2016, focusing primarily on machine vision, predictive modelling, and natural language processing (NLP). At the time, AI was largely task-specific, with models trained for singular purposes like object detection or predictive analytics. However, with the advent of GenAI, the paradigm shifted.

“Before GenAI, AI models were trained from scratch for each specific task. Today, we adapt large foundation models to achieve multiple business outcomes, which significantly changes the AI technology stack,” Sahay said.

Unlike traditional AI, which required separate models for different tasks, GenAI enables a single large model to perform multiple functions, increasing efficiency and reducing costs. The shift from “narrow AI” to “foundational AI” means that companies can now leverage fewer models for a wider range of applications.

At its core, Nagarro is a product engineering company, distinguishing itself from traditional IT services firms. “At Nagarro, we emphasise building scalable platforms that integrate AI seamlessly into products,” Sahay explained.

By combining AI with product engineering, Nagarro enhances user experiences, automates software development, and refines decision-making processes within businesses. The company believes in using AI not just as a tool, but as a core element in creating superior technology solutions.

The Cost and Efficiency Debate

A major industry concern is the cost of running large AI models. OpenAI, for example, has frequently highlighted the high expenses associated with maintaining its language models. However, efficiency breakthroughs are beginning to change this landscape.

Sengupta points to DeepSeek, an emerging AI company that has achieved a 575% profit-to-cost efficiency ratio. “These advancements prove that it’s possible to build and operate AI models more affordably,” he said, adding that competition from companies in China and other regions will further drive costs down.

One approach to making AI more cost-effective is developing smaller, specialised models that optimise efficiency without compromising performance. Nagarro recognises this trend and works with clients to implement the most practical solutions tailored to their business needs.

Nagarro’s AI expertise extends across various industries, with notable success stories highlighting the real-world impact of their technology. One such example is a sperm motility tester developed using machine vision. This innovation addresses a critical healthcare gap in regions where men are hesitant to seek medical help for fertility issues.

“We built the entire product for the client, incorporating machine vision, GenAI, and synthetic datasets,” said Sengupta. “It’s a perfect example of how AI can be used to solve real-world problems while maintaining user privacy.”

Ensuring Responsible and Ethical AI

With the growing concerns around AI ethics, particularly regarding data privacy and bias, Nagarro has taken a proactive stance on responsible AI development. “For us, responsible AI is not optional,” Sahay emphasises. “We work with enterprises that demand strict data protection and governance, and we’ve been practicing these principles long before GenAI became mainstream.”

Nagarro employs several key strategies to ensure ethical AI deployment:

Localisation: AI models are trained where the data resides, reducing risks associated with data movement.

Guardrails for AI Behavior: Boundaries are set to prevent AI models from engaging in undesirable behaviors.

Explainability & Observability: AI predictions are made transparent and auditable, which is crucial for industries like finance and healthcare.

Despite all this, one of the most debated topics in AI governance is accountability. If an AI system makes an incorrect decision, who bears the responsibility? Is it the technology provider or the enterprise using the system?

“Our goal is to build AI that operates within defined ethical boundaries, but we also assume responsibility alongside our clients,” Sengupta explained. “If something goes wrong, we work together to fix it rather than shifting the blame. Our success is directly tied to the success of our clients.”

What’s Next for Nagarro’s AI Initiatives?

Looking ahead, Nagarro is focused on leveraging AI to enhance its internal processes and increase efficiency in delivering AI-driven solutions. “Our CEO often says, ‘We should be able to eat our own dog food,’” Sengupta shared. “This means not just building AI for clients, but also transforming our own workflows to be more efficient and cost-effective.”

By continuously refining their AI capabilities and pushing the boundaries of product engineering, Nagarro aims to remain at the forefront of AI-driven innovation.





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Experts gather to discuss ethics, AI and the future of publishing

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Representatives of the founding members sign the memorandum of cooperation at the launch of the Association for International Publishing Education during the 3rd International Conference on Publishing Education in Beijing.CHINA DAILY

Publishing stands at a pivotal juncture, said Jeremy North, president of Global Book Business at Taylor & Francis Group, addressing delegates at the 3rd International Conference on Publishing Education in Beijing. Digital intelligence is fundamentally transforming the sector — and this revolution will inevitably create “AI winners and losers”.

True winners, he argued, will be those who embrace AI not as a replacement for human insight but as a tool that strengthens publishing’s core mission: connecting people through knowledge. The key is balance, North said, using AI to enhance creativity without diminishing human judgment or critical thinking.

This vision set the tone for the event where the Association for International Publishing Education was officially launched — the world’s first global alliance dedicated to advancing publishing education through international collaboration.

Unveiled at the conference cohosted by the Beijing Institute of Graphic Communication and the Publishers Association of China, the AIPE brings together nearly 50 member organizations with a mission to foster joint research, training, and innovation in publishing education.

Tian Zhongli, president of BIGC, stressed the need to anchor publishing education in ethics and humanistic values and reaffirmed BIGC’s commitment to building a global talent platform through AIPE.

BIGC will deepen academic-industry collaboration through AIPE to provide a premium platform for nurturing high-level, holistic, and internationally competent publishing talent, he added.

Zhang Xin, secretary of the CPC Committee at BIGC, emphasized that AIPE is expected to help globalize Chinese publishing scholarships, contribute new ideas to the industry, and cultivate a new generation of publishing professionals for the digital era.

Themed “Mutual Learning and Cooperation: New Ecology of International Publishing Education in the Digital Intelligence Era”, the conference also tackled a wide range of challenges and opportunities brought on by AI — from ethical concerns and content ownership to protecting human creativity and rethinking publishing values in higher education.

Wu Shulin, president of the Publishers Association of China, cautioned that while AI brings major opportunities, “we must not overlook the ethical and security problems it introduces”.

Catriona Stevenson, deputy CEO of the UK Publishers Association, echoed this sentiment. She highlighted how British publishers are adopting AI to amplify human creativity and productivity, while calling for global cooperation to protect intellectual property and combat AI tool infringement.

The conference aims to explore innovative pathways for the publishing industry and education reform, discuss emerging technological trends, advance higher education philosophies and talent development models, promote global academic exchange and collaboration, and empower knowledge production and dissemination through publishing education in the digital intelligence era.

 

 

 



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Ethics & Policy

Experts gather to discuss ethics, AI and the future of publishing

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Representatives of the founding members sign the memorandum of cooperation at the launch of the Association for International Publishing Education during the 3rd International Conference on Publishing Education in Beijing.CHINA DAILY

Publishing stands at a pivotal juncture, said Jeremy North, president of Global Book Business at Taylor & Francis Group, addressing delegates at the 3rd International Conference on Publishing Education in Beijing. Digital intelligence is fundamentally transforming the sector — and this revolution will inevitably create “AI winners and losers”.

True winners, he argued, will be those who embrace AI not as a replacement for human insight but as a tool that strengthens publishing”s core mission: connecting people through knowledge. The key is balance, North said, using AI to enhance creativity without diminishing human judgment or critical thinking.

This vision set the tone for the event where the Association for International Publishing Education was officially launched — the world’s first global alliance dedicated to advancing publishing education through international collaboration.

Unveiled at the conference cohosted by the Beijing Institute of Graphic Communication and the Publishers Association of China, the AIPE brings together nearly 50 member organizations with a mission to foster joint research, training, and innovation in publishing education.

Tian Zhongli, president of BIGC, stressed the need to anchor publishing education in ethics and humanistic values and reaffirmed BIGC’s commitment to building a global talent platform through AIPE.

BIGC will deepen academic-industry collaboration through AIPE to provide a premium platform for nurturing high-level, holistic, and internationally competent publishing talent, he added.

Zhang Xin, secretary of the CPC Committee at BIGC, emphasized that AIPE is expected to help globalize Chinese publishing scholarships, contribute new ideas to the industry, and cultivate a new generation of publishing professionals for the digital era.

Themed “Mutual Learning and Cooperation: New Ecology of International Publishing Education in the Digital Intelligence Era”, the conference also tackled a wide range of challenges and opportunities brought on by AI — from ethical concerns and content ownership to protecting human creativity and rethinking publishing values in higher education.

Wu Shulin, president of the Publishers Association of China, cautioned that while AI brings major opportunities, “we must not overlook the ethical and security problems it introduces”.

Catriona Stevenson, deputy CEO of the UK Publishers Association, echoed this sentiment. She highlighted how British publishers are adopting AI to amplify human creativity and productivity, while calling for global cooperation to protect intellectual property and combat AI tool infringement.

The conference aims to explore innovative pathways for the publishing industry and education reform, discuss emerging technological trends, advance higher education philosophies and talent development models, promote global academic exchange and collaboration, and empower knowledge production and dissemination through publishing education in the digital intelligence era.

 

 

 



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Ethics & Policy

Lavender’s Role in Targeting Civilians in Gaza

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The world today is war-torn, starting with Russia’s attacks on Ukraine to Israel’s devastation in Palestine and now in Iran, putting the entire West Asia in jeopardy.

The geometrics of war has completely changed, from Blitzkrieg (lightning war) in World War II to the use of sophisticated and technologically driven missiles in these latest armed conflicts. The most recent wars are being driven by use of artificial intelligence (AI) to narrow down potential targets.

There have been multiple evidences which indicate that Israeli forces have deployed novel AI-driven targeting tools in Gaza. One system, nicknamed “Lavender” is an AI-enabled database that assigns risk scores to Gazans based on patterns in their personal data (communication, social connections) to identify “suspected Hamas or Islamic Jihad operatives”. Lavender has flagged up to 37,000 Palestinians as potential targets early in the war.

A second system, “Where is Daddy?”, uses mobile phone location tracking to notify operators when a marked individual is at home. The initial strikes using these automated generated systems targeted individuals in their private homes on the pretext of targeting the terrorists. But innocent women and young children also lost their lives in these attacks. This technology was developed as a replacement of human acumen and strategy to identify and target the suspects.

According to the Humans Rights Watch report (2024), around 70 per cent of people who have lost lives were women and children. The United Nations agency has also verified the details of 8,119 victims killed in Gaza from November 2023 to April 2024. The report showed that 44 per cent of the victims were children and 26 per cent were women. The humans are merely at the mercy of this sophisticated technology that identified the suspected militants and targeted them.

The use of AI-based tools like “Lavender” and “Where’s Daddy?” by Israel in its war against Palestine raises serious questions about the commitment of countries to the international legal framework and the ethics of war. Use of such sophisticated AI targeted tools puts the weaker nations at the dictate of the powerful nations who can use these technologies to inflict suffering for the non-combatants.

The international humanitarian law (IHL) and international human rights law (IHRL) play a critical yet complex role in the context of AI during conflict situations such as the Israel-Palestine Conflict. Such AI-based warfare violates the international legal framework principles of distinction, proportionality and precaution.

The AI systems do not inherently know who is a combatant. Investigations report that Lavender had an error rate on the order of 10 per cent and routinely flagged non-combatants (police, aid workers, people who merely shared a name with militants). The reported practice of pre-authorising dozens of civilian deaths per strike grossly violates the proportionality rule.

An attack is illegal if incidental civilian loss is “excessive” in relation to military gain. For example, one source noted that each kill-list target came with an allowed “collateral damage degree” (often 15–20) regardless of the specific context. Allowing such broad civilian loss per target contradicts IHL’s core balancing test (ICRC Rule 14).

The AI-driven process has eliminated normal safeguards (verification, warnings, retargeting). IHRL continues to apply alongside IHL in armed conflict contexts. In particular, the right to life (ICCPR Article 6) obliges states to prevent arbitrary killing.

The International Court of Justice has held that while the right to life remains in force during war, an “arbitrary deprivation of life” must be assessed by reference to the laws of war. In practice, this means that IHL’s rules become the benchmark for whether killings are lawful.

However, even accepting lex specialis (law overriding general law), the reported AI strikes raise grave human rights concerns especially the Right to Life (ICCPR Art. 6) and Right to Privacy (ICCPR Art. 17).

Ethics of war, called ‘jus in bello’ in the legal parlance, based on the principles of proportionality (anticipated moral cost of war) and differentiation (between combatants and non-combatants) has also been violated. Article 51(5) of Additional Protocol I of the 1977 Geneva Convention said that “an attack is disproportionate, and thus indiscriminate, if it may be expected to cause incidental loss of civilian life, injury to civilians, damage to civilian objects, or a combination thereof, which would be excessive in relation to the concrete and military advantage”.

The Israel Defense Forces have been indiscriminately using AI to target potential targets. These targets though aimed at targeting militants have been extended to the non-military targets also, thus causing casualties to the civilians and non-combatants. Methods used in a war is like a trigger which once warded off is extremely difficult to retract and reconcile. Such unethical action creates more fault lines and any alternate attempt at peace resolution and mediation becomes extremely difficult.

The documented features of systems like Lavender and Where’s Daddy, based on automated kill lists, minimal human oversight, fixed civilian casualty “quotas” and use of imprecise munitions against suspects in homes — appear to contravene the legal and ethical principles.

Unless rigorously constrained, such tools risk turning warfare into arbitrary slaughter of civilians, undermining the core humanitarian goals of IHL and ethics of war. Therefore, it is extremely important to streamline the unregulated use of AI in perpetuating war crimes as it undermines the legal and ethical considerations of humanity at large.



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