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  • Data Platforms for the Agentic Era

    Data 面向代理时代的平台

    大多数公司还没有准备好用 AI 堆栈取代仪表板时代的 data 堆栈。Salesforce 最新发布的《Data 和分析现状》报告显示,84% 的 data 和分析领导者表示,在 AI 计划取得成功之前,他们的战略需要彻底改革。据领导者估计,他们的 data 中有 26% 是不可信的,只有 43% 报告了正式的 data governance 框架,约 50% 对自己生成和及时交付洞察力的能力没有信心。同时,70% 认为最有价值的洞察力被锁定在非结构化的 data 中。结论很简单:障碍不是热情,而是基础,在代理系统能够扩展之前,基础必须改变。.

    14 11 月 2025

  • Revolutionizing Retail with AI Agents – Is the Industry Ready for It?

    用 AI 代理商革新零售业--业界准备好了吗?

    零售商在竞争激烈的动态环境中经营,面临着从价格敏感性到复杂物流等各种挑战。要想蓬勃发展,他们必须采用创新的解决方案来简化运营并提高客户满意度。本文探讨了 AI 代理--能够观察、推理和行动的自主系统--如何重新定义零售业,并将零售业的竞争力提升到新的水平。.

    13 11 月 2025

  • Master Context Management: The Evolution Beyond Master Data Management

    主语境管理:超越主 Data 管理的演变

    For two decades, Master Data Management (MDM) gave organizations a single source of truth for customers, products, and suppliers so analytics and operations could run on clean, governed data.

    4 11 月 2025

  • Case Study: Accelerating GenAI adoption in commodity trading

    案例研究:加快 GenAI 在大宗商品交易中的应用

    When a leading global commodity trading company sought to accelerate its AI transformation, it turned to Artefact to turn potential into measurable performance. The goal was to make generative AI a daily productivity tool across departments while ensuring robust governance, compliance, and lasting cultural change.

    28 10 月 2025

  • Hybrid Agentic Organizations: The Next Operating System for the Enterprise

    混合代理组织:企业的下一个操作系统

    Every decade or so, the way companies organize themselves quietly changes – not through grand announcements, but through a series of accumulated decisions that suddenly reveal a new pattern. We saw it with digital transformation in the 2000s, when data and connectivity became the fabric of the modern enterprise. Then came the agile revolution, which redefined how teams collaborate, iterate, and deliver value. Each shift didn’t just alter tools or processes—it changed what we believed possible about work itself.

    28 10 月 2025

  • GenAI adoption: A pragmatic roadmap for companies seeking impact

    采用 GenAI:企业寻求影响力的务实路线图

    At Artefact, we have designed a proven methodology to help corporations move from exploration to sustainable impact. This article explains the journey, the challenges, and the pragmatic steps to success.

    24 10 月 2025

  • How to Build an Agentic Enterprise: The 4Ps of AI Transformation

    如何建立代理型企业:AI 转型的 4Ps

    How can organizations move from experimentation to true scale with generative and agentic AI? Over the past two years, many companies have launched promising pilots only to hit a wall when trying to operationalize them. The difficulty isn’t accessing technology anymore. Today, the challenge lies in scaling AI responsibly and effectively across the organization. To do that, companies must look beyond individual use cases and focus instead on holistic transformation. There are four critical dimensions that determine success: Processes, People, Platform, and Position: the 4Ps of Agentics.

    24 10 月 2025

  • AI Lead Gen – Driving Growth in Distributed B2B Markets with Data & AI

    AI Lead Gen – Driving Growth in Distributed B2B Markets with Data & AI

    Many industries sell into highly fragmented ecosystems composed of thousands of small, independent outlets spread across cities and regions - whether it is a global beverage company supplying high-end F&B venues or a local bank selling EDC terminals to micro-SMEs in an emerging market.

    21 10 月 2025

  • Automate medical coding while reducing errors, thanks to Agentic AI

    Automate medical coding while reducing errors, thanks to Agentic AI

    In our previous articles, we challenged conventional ROI models for AI and introduced a multi-layered, context-driven framework for measuring AI’s unique value.

    14 10 月 2025

  • Enriching the DIY experience: How ADEO uses AI to connect content and knowledge

    丰富 DIY 体验:ADEO 如何使用 AI 连接内容和知识

    Assortment optimization is a critical process in retail that involves curating the ideal mix of products to meet consumer demand while taking into account the many logistics constraints involved. The retailers need to make sure that they offer the right products, in the right quantities, at the right time. By leveraging data and consumer insights, retailers can make informed decisions on which items to stock, how to manage inventory, and what products to prioritize based on customer preferences, seasonal trends, and sales patterns.

    9 10 月 2025

  • Smarter decisions, stronger ROI: Marketing Measurement in Pharmaceutical

    更明智的决策,更高的投资回报率:医药行业的营销测量

    In today’s data driven marketing landscape, Customer Data Platforms (CDPs) have become an essential component of a successful strategy. A CDP is a centralised system that collects, cleanses, and unifies customer data from various sources to build comprehensive customer profiles.

    6 10 月 2025

  • The Long View: Treating Data Investments Like Real Estate Assets

    The Long View: Treating Data Investments Like Real Estate Assets

    Real estate in the Gulf is moving faster and at a larger scale than at any point in the last decade. In Dubai, more than 43,000 property deals worth AED 115 billion were recorded in Q1 2025, with nearly 70% off-plan — evidence of liquidity but also exposure to delivery and handover risks.

    6 10 月 2025

  • Grounding AI Agents: Why Clean Data Is Non-Negotiable

    接地 AI 代理商:清洁的 Data 为何不容商量

    In this article, we explore why marketers – despite having more data than ever – struggle to turn it into actionable insights, and how AI Agents promise to deliver autonomous, high-value recommendations. Yet there’s a hidden barrier few talk about: inconsistent naming conventions. Without a standardized structure, AI Agents can’t reliably read, unify, or optimize your campaign data.

    Daniel shows why grounding your AI Agents in clean, enforceable data is critical for cross-channel analysis, faster insights, and confident budget decisions.

    2 10 月 2025

  • MotherDuck Explained: How the Next-Gen AI & Analytics Solution Fits Into Your Data Stack

    MotherDuck 解读:新一代 AI 和分析解决方案如何融入您的 Data 堆栈

    MotherDuck extends DuckDB's analytical performance to the cloud with collaborative features, delivering 4x faster performance than BigQuery and cost savings over traditional data warehouses through serverless, pay-per-use pricing. Following the announcement of MotherDuck’s new European cloud region, we were impressed by its performance and attractive pricing. MotherDuck can already be integrated into your gold layers in order to accelerate the serving of data use cases while saving costs at the same time. See performance benchmark.

    2 10 月 2025

  • Rethinking Travel Retail: How leaders are scaling Travel Retail with pragmatic data-driven solutions

    重新思考旅游零售:领导者如何利用务实的 data-driven 解决方案扩展旅游零售业

    The travel retail sector is at a fascinating crossroads. Passenger numbers across air and rail have rebounded to pre-COVID levels and are set to grow steadily in the years ahead - in stark contrast to declining footfall on the high street. Yet beneath this apparent recovery lies a challenge: spend per passenger remains 15% lower than before the pandemic, squeezed by rising costs and increasingly value-conscious travellers.

    30 9 月 2025

  • How AI is changing search and what it means for customers, marketers and brands

    AI 如何改变搜索及其对客户、营销人员和品牌的意义

    AI is transforming search, shifting it from ranking and retrieval towards reasoning and synthesis. This whitepaper charts this evolution, explains the mechanics of large language models (LLMs), and sets out the implications for marketers and brands. At the center of the new measurement landscape is the golden triangle of MROI: Marketing mix modeling (MMM) provides the strategic view, quantifying the impact of marketing on sales and offering optimizers and simulators to guide budget allocation.

    Incrementality testing validates whether campaigns truly drive additional outcomes, using test-versus-control experiments to establish causality. It also calibrates both MMM and attribution models.

    Attribution informs in-flight optimization by assigning credit across customer journeys. In 2025, advanced models use deep learning and attention mechanisms to capture channel interactions more effectively.

    These methodologies are most powerful when used together: MMM for long-term planning, incrementality for ground truth, and attribution for real-time agility. Companies also face the decision of in-housing vs. SaaS solutions. In-housing brings customization and control but requires talent and investment, while SaaS offers speed and expertise. The right choice depends on resources and data maturity. Real-world examples highlight best practices: Google’s Meridian introduces an open-source MMM toolkit to improve calibration, upper-funnel measurement, and bias correction.

    Accor uses incrementality testing to question assumptions and optimize budget allocation.

    Nike demonstrates the power of persistence and cultural change, embedding measurement into processes and democratizing insights.

    Artefact stresses the 95-5 rule, showing how brand equity measurement links long-term growth with short-term performance efficiency.

    Looking forward, five trends will shape measurement: improved data quality, new frameworks for retail media and connected TV, in-housed MMM with testing, privacy-first approaches, and attention-based metrics. The conclusion is clear: marketing measurement is now a strategic enabler. By integrating methodologies, embedding them in culture, and focusing on both performance and brand, CMOs can defend their budgets and unlock sustainable growth.

    26 9 月 2025

  • A C-Suite Guide to Marketing Measurement in 2025

    2025 年营销测量 C 级指南

    In 2025, marketing measurement has become a top priority for the C-suite. While generative AI is transforming campaign execution, measurement is what proves value and secures budgets. Yet maturity remains low: most CMOs still struggle to dynamically adjust spend based on performance. The challenge lies in balancing brand and performance marketing, coping with fragmented data, and aligning decisions across strategic and operational levels. At the center of the new measurement landscape is the golden triangle of MROI: Marketing mix modeling (MMM) provides the strategic view, quantifying the impact of marketing on sales and offering optimizers and simulators to guide budget allocation.

    Incrementality testing validates whether campaigns truly drive additional outcomes, using test-versus-control experiments to establish causality. It also calibrates both MMM and attribution models.

    Attribution informs in-flight optimization by assigning credit across customer journeys. In 2025, advanced models use deep learning and attention mechanisms to capture channel interactions more effectively.

    These methodologies are most powerful when used together: MMM for long-term planning, incrementality for ground truth, and attribution for real-time agility. Companies also face the decision of in-housing vs. SaaS solutions. In-housing brings customization and control but requires talent and investment, while SaaS offers speed and expertise. The right choice depends on resources and data maturity. Real-world examples highlight best practices: Google’s Meridian introduces an open-source MMM toolkit to improve calibration, upper-funnel measurement, and bias correction.

    Accor uses incrementality testing to question assumptions and optimize budget allocation.

    Nike demonstrates the power of persistence and cultural change, embedding measurement into processes and democratizing insights.

    Artefact stresses the 95-5 rule, showing how brand equity measurement links long-term growth with short-term performance efficiency.

    Looking forward, five trends will shape measurement: improved data quality, new frameworks for retail media and connected TV, in-housed MMM with testing, privacy-first approaches, and attention-based metrics. The conclusion is clear: marketing measurement is now a strategic enabler. By integrating methodologies, embedding them in culture, and focusing on both performance and brand, CMOs can defend their budgets and unlock sustainable growth.

    25 9 月 2025

  • The Execution Problem: Why Even Flawless Pricing Strategies Fail Between the C-Suite and the Shelf

    执行问题:为什么完美无缺的定价策略也会在高层和货架之间失败?

    Margin leakage often hides in complex pricing, promotions, and multi-channel strategies, where list prices rarely match the final pocket price. Promotions can cannibalize sales, and inconsistent channel discounts create arbitrage risks, silently eroding margins. Companies that define clear pricing architectures, analyze demand deeply, and govern execution with real-time monitoring turn pricing into a strategic lever. The result: higher profitability, smarter commercial decisions, and sustainable value capture.

    24 9 月 2025

  • Unlocking Commercial Efficiency: The Transformative Power of AI Agents

    释放商业效率:AI 代理商的变革力量

    AI Agents are revolutionizing commercial operations by automating tasks, enhancing customer relationships, and providing actionable insights. From boosting salesforce efficiency to optimizing pricing strategies, these intelligent systems help businesses achieve measurable growth and competitive advantage.

    23 9 月 2025

  • Artefact publishes its research on AI applied to the identification of atypical customer profiles, developed and tested with a leading French Bank

    Artefact publishes its research on AI applied to the identification of atypical customer profiles, developed and tested with a leading French Bank

    Artefact, in partnership with Societe Generale and Sorbonne University, presents a new AI approach to identify atypical customer profiles. Tested on real banking data, this open-source algorithm improves scoring accuracy while ensuring interpretability and practical applicability.

    11 9 月 2025

  • Human consultancy is at the core of successful agentic AI implementation

    人力咨询是成功实施代理 AI 的核心所在

    AI is reshaping consulting, but not in the way most companies imagine. In a practical exploration of professional services, we reveal how treating AI agents as full-time teammates rather than mere tools, focusing on scaling rather than headcount reduction, and fostering an internal “open-source” culture transforms project delivery, client relationships, and product discovery—and what this means for the future of human-AI collaboration in consulting.

    9 9 月 2025

  • CDP Beyond POC Stage: Why Use Cases Alone Keep You Trapped

    CDP Beyond POC Stage: Why Use Cases Alone Keep You Trapped

    Customer Data Platforms (CDPs) promise a truly unified view of your customers, opening doors to hyper-personalization and driving significant ROI. Yet, if you're like many organizations, you might find your CDP initiatives getting stuck right after the initial Proof of Concept (POC) stage. While these early pilots brilliantly demonstrate value, the journey to a fully scaled, integrated CDP often stalls, leaving immense potential locked away.

    24 8 月 2025

  • Smarter Universities: Harnessing AI and Data for Transformation

    更智能的大学:利用 AI 和 Data 促进转型

    This paper explores how data and AI can serve as powerful enablers of that transformation. It introduces a strategic framework centered on three key levers: 1.Enrollment & Recruitment, 2.Academic & Teaching Innovation, 3.and Student Success & Experience, supported by foundational enablers like Operational Efficiency and Data Governance.

    18 8 月 2025

  • AI-Driven Digital Twins: Unlocking Exponential Operational Gains

    AI-Driven Digital Twins: Unlocking Exponential Operational Gains

    Initially, digital twins were used to study how rockets behaved under varying circumstances. Today, they are widely applied to improve operational performance and are becoming one of the flagship concepts of Industry 4.0, perhaps even a cornerstone for Industry 5.0.

    18 8 月 2025

  • From Retail Cost to Competitive Advantage: 9 Metrics That Drive Loyalty

    From Retail Cost to Competitive Advantage: 9 Metrics That Drive Loyalty

    Retailers are sitting on a gold mine of customer data, but too often, it’s treated like a cost rather than a strategic asset. Retailers who harness customer data insights outperform competitors by 85% in sales growth and 25% in gross margin.

    13 8 月 2025

  • The Tourist Trap Index: How Data Reveals the Truth Behind Tourist Hotspots

    游客陷阱指数:Data 如何揭示旅游热点背后的真相

    Ever see a place all over your social media, get there, and feel… underwhelmed? In an age of hashtags and hype, a city's online reputation often has little to do with the real-life experience. This leaves us all asking: how do we find the places that are actually worth visiting, not just the ones with good marketing?

    11 8 月 2025

  • Retail’s future: Powered by data, built on collaboration

    Retail’s future: Powered by data, built on collaboration

    Retail is undergoing a seismic shift, where data is no longer just a support tool—it's the driving force behind growth, efficiency, and customer satisfaction. Yet, despite massive investments in digital transformation, most of that data remains locked in silos, costing the global economy trillions and stalling decision-making. As the retail media market races toward $140 billion by 2026, the opportunity—and necessity—for smarter data collaboration has never been greater. In this article, we explore how the future of retail will be shaped by connected ecosystems, where retailers and their partners align on data, technology, and trust. From secure clean room environments to AI-powered insights, the key to unlocking shared growth lies in breaking down barriers and building a foundation of interoperability and governance. The message is clear: when data flows freely and securely, everyone wins.

    5 8 月 2025

  • When Art meets AI: Artefact’s “Collective Memory” exhibition redefines creative boundaries

    When Art meets AI: Artefact’s “Collective Memory” exhibition redefines creative boundaries

    At Artefact, we've always believed that artificial intelligence isn't just about algorithms and data—it's about amplifying human creativity. This conviction is embedded in our DNA (Art and Fact) and through all Artefactors. We don't just consult on AI; we live and breathe the creative possibilities it unlocks.

    22 7 月 2025

  • Artefact Survey “The future of Agentic Supervision” – Key Insights

    Artefact Survey “The future of Agentic Supervision” – Key Insights

    In the evolving landscape of enterprise AI, the rise of agentic systems marks a pivotal shift. AI agents are autonomous applications powered by large language models (LLMs) capable of reasoning, memory, and action. They are no longer passive responders to user input; they are active decision-makers influencing business processes in real time. But with autonomy comes risk, and with risk comes the need for structured supervision. In this new paradigm, supervision of tech systems is no longer optional, it is foundational.

    21 7 月 2025

  • How conversational engines redefine visibility, transactions, and trust

    How conversational engines redefine visibility, transactions, and trust

    As search progressively shifts toward conversational engines such as ChatGPT, Gemini, Le Chat, Claude or Perplexity, brands must fundamentally rethink how they exist online. Visibility becomes central: it is no longer about pleasing Google’s algorithms but about appearing within generated, synthesized, and contextualized answers.

    16 7 月 2025

  • Data & AI for Healthcare & Pharmaceuticals: Pioneering the Future of Health

    Data & AI for Healthcare & Pharmaceuticals: Pioneering the Future of Health

    As Thomas Filaire highlighted at VivaTech 2025, AI is speeding up crucial medical processes, enhancing personalized patient care, and streamlining complex operations, ultimately leading to more efficient and effective healthcare systems. It's a transformative leap towards delivering demonstrably better health outcomes for everyone

    16 7 月 2025

  • How GenAI is transforming the travel, tourism and transport sector for the long run

    How GenAI is transforming the travel, tourism and transport sector for the long run

    Sidney Zeder is Director of Data & AI Consulting at Artefact. She works in the practice dedicated to the travel, tourism and transport sector in Europe, supporting major industry players across the entire data value chain, from strategy to operational activation.

    10 7 月 2025

  • Our framework for AI ROI assessment

    Our framework for AI ROI assessment

    In our first article, we established why traditional ROI models fail to capture AI’s unique value dynamics—non-linear returns, delayed benefits, and contextual dependencies.

    8 7 月 2025

  • Why traditional investment models no longer apply?

    Why traditional investment models no longer apply?

    In today’s rapidly evolving technological landscape, IT has evolved from a traditional operational backbone to a strategic business partner. This shift is fueled by accelerating digitalization and automation, including the rise of AI use cases that deliver value well beyond the IT function.

    8 7 月 2025

  • AI-Enhanced luxury?

    AI-增强型豪华?

    In a luxury industry focused on creativity and made-to-measure products, AI can transform professions and preserve values. Interview with Édouard de Mézerac (H.06), CEO of Artefact.

    2 7 月 2025

  • Mitigating Challenges in Developing Analytics & Reporting for Big Corporate Companies

    Mitigating Challenges in Developing Analytics & Reporting for Big Corporate Companies

    In today’s data-driven companies, analytics & reporting - through dashboards are expected to deliver fast, actionable insights that support critical business decisions. Yet, according to a 2022 Forrester study, 60% of analytics initiatives fail to meet expectations because often the data feeding those dashboards is unreliable, incomplete, or misaligned (Forrester, 2022).

    30 6 月 2025

  • The $909 Billion AI Revolution: Generative AI’s Transformative Impact in MENA

    The $909 Billion AI Revolution: Generative AI’s Transformative Impact in MENA

    The artificial intelligence market is on an explosive growth trajectory – GlobalData forecasts it will reach $909 billion by 2030, up from about $100 billion in 2022, driven mainly by the rise of generative AI. This category of AI, exemplified by popular tools like ChatGPT, DeepSeek, Google Gemini, etc. has sparked widespread innovation by enabling businesses to generate original content and automate complex tasks. Companies in the MENA region are rapidly adopting generative AI, aiming to harness its potential for significant productivity gains, deeper personalization, and innovative customer experiences, while also confronting the critical need for responsible and ethical deployment.

    30 6 月 2025

  • Data & AI transformation in the healthcare industry: The Bridge Interview of Justine Nerce, CEO of Artefact France

    Data & AI transformation in the healthcare industry: The Bridge Interview of Justine Nerce, CEO of Artefact France

    In this interview, Justine Nerce explains how AI is helping to meet the major challenges facing pharmaceutical companies, research laboratories and hospital institutions: Accelerating market access and controlling R&D costs, combating drug shortages, equal access to care. The healthcare sector is an industry in tension, and AI is now seen as a key transformation factor and innovation gas pedal. In this exchange with Caroline Goulard, journalist and CEO of two data companies Dataveyes and Modality, Justine shares some use cases.

    25 6 月 2025

  • From Efficiency to Impact: Escaping the AI Slack Trap

    From Efficiency to Impact: Escaping the AI Slack Trap

    Generative AI has compressed delivery times: what took eight hours now takes three. But where do the remaining five hours go?

    22 6 月 2025

  • The SaaS Panic – When Agents Begin to Bypass the Interface

    The SaaS Panic – When Agents Begin to Bypass the Interface

    Something subtle but seismic is happening in enterprise software. For years, SaaS thrived on UX—well-crafted interfaces designed to guide humans through increasingly complex workflows.

    22 6 月 2025

  • From Slideware to Shipping: The Rise of the Agentic Process Owner (APO)

    From Slideware to Shipping: The Rise of the Agentic Process Owner (APO)

    For decades, consulting thrived by delivering polished slide decks filled with frameworks and benchmarks.

    22 6 月 2025

  • When Conversations Become Channels

    When Conversations Become Channels

    Brands have long envied the troves of first‑party data sitting inside retailer systems. The average shopper enrols in roughly 13 loyalty programmes but stays active in barely half of them, so the “relationship” often stops at the cash register.

    22 6 月 2025

  • How do you manage the emergence of AI agents in your marketing and communication organization, as well as in your business processes?

    How do you manage the emergence of AI agents in your marketing and communication organization, as well as in your business processes?

    Artificial intelligence is rapidly reshaping the business landscape, moving beyond mere promise to become a transformative reality. However, its effective integration within organizations still presents significant challenges. Hanan Ouazan, Managing Partner and Global Lead AI Acceleration at Artefact, recently shed light on how businesses can navigate the emerging wave of AI agents across their marketing, communication, and operational processes. His insights underscored the critical imperatives for successful adoption, highlighting that while many companies are experimenting with AI, very few have achieved true, holistic AI transformation.

    21 6 月 2025

  • The future of marketing in the era of AI Agents: Reimagining organization and processes

    The future of marketing in the era of AI Agents: Reimagining organization and processes

    Artificial intelligence is no longer just a promise but a reality redefining the contours of business. However, its effective integration within organizations still presents major challenges. During an illuminating discussion with François Bracq, Head of Innovation Partners at Google, Justine Nerce, CEO of Artefact France, shared her insights on how to approach the emergence of AI agents in our marketing, communication, and operational processes. Her intervention highlighted the imperatives for successful adoption.

    20 6 月 2025

  • Scaling creative asset production with Generative AI for optimized media performance

    Scaling creative asset production with Generative AI for optimized media performance

    The digital marketing landscape is constantly evolving, driven by technological innovations that continually redefine brand engagement strategies. At the heart of this revolution is Generative Artificial Intelligence (Generative AI), a transformative force promising to reshape how creative assets are conceived, produced, and deployed for media optimization.

    19 6 月 2025

  • How Artificial Intelligence Is Already Transforming S&OP — and the Potential That Still Exists

    How Artificial Intelligence Is Already Transforming S&OP — and the Potential That Still Exists

    The Sales and Operations Planning (S&OP) process aims to align sales, operations, and finance departments around an integrated and feasible plan. More than a monthly agenda, S&OP is a continuous cycle that seeks to anticipate the future and prepare the organization to meet it efficiently. Today, Artificial Intelligence (AI) is already a reality in parts of this process — especially in demand planning. But its potential goes further: as we evolve in analytical maturity and in the integration between teams and data, AI can become a central gear for faster, more accurate decisions aligned with business reality.

    16 6 月 2025

  • The Importance of LGBT Pride Month

    女同性恋、男同性恋、双性恋和变性者骄傲月的重要性

    LGBT Pride Month is a celebration of the diversity, resilience and resistance of the LGBT community. It is a time to remember the struggles of the past, celebrate the achievements of the present and plan for a future where everyone can live free from discrimination. It is also an opportunity to educate society about the issues that still need to be addressed and to promote a more inclusive and equitable world.

    16 6 月 2025

  • Is META trying to make agencies redundant?

    Is META trying to make agencies redundant?

    Meta's recent announcement to fully automate ad creation using AI by the end of 2025 marks a significant shift in digital advertising. While this move promises efficiency and scalability, it also raises concerns about the alignment of AI-driven campaigns with actual business objectives.

    16 6 月 2025

  • SEO for LLMs: How to rank in Large Language Models

    法律硕士的搜索引擎优化:如何在大型语言模型中排名

    在本文中,我们将探讨优化您的网站和品牌以提高 LLM 可见度的策略,并提高您在 AI 生成的答案中被提及的机会。

    12 6 月 2025

  • Turning distributor data into a growth engine

    Turning distributor data into a growth engine

    In industries such as fast-moving consumer goods (FMCG) and fashion retail—where businesses heavily rely on distributor networks—data is evolving from a support function into a core asset of competitive advantage. However, due to the fragmented nature of distributor operations and diverse data sources, distributor data often suffers from fragmentation, low quality, and poor integration. Only by building a unified and effective data governance framework can companies truly connect upstream and downstream operations, unlock the value of data, and drive AI transformation and decision-making efficiency.

    11 6 月 2025

  • AI, music & creativity: A conversation with Artefact’s Julien Ho-Tong, Managing Partner, and Nicolas Lang, Senior Consultant.

    AI, music & creativity: A conversation with Artefact’s Julien Ho-Tong, Managing Partner, and Nicolas Lang, Senior Consultant.

    The music industry is entering a new phase of transformation thanks to AI and generative AI. In this conversation for The Bridge, Julien Ho-Tong, Managing Partner at Artefact, and Nicolas Lang, Senior Consultant - GenAI Product Specialist at Artefact, explore the ways AI technology and tools are impacting music production, songwriting, and even gaming.

    5 6 月 2025

  • Introducing Google’s New Query Metrics: Unlocking Deeper Search and Ad Insights

    Introducing Google’s New Query Metrics: Unlocking Deeper Search and Ad Insights

    As the future of advertising rapidly evolves, so too does the way we understand and reach consumers. Google is ushering in a new era of search metrics that deliver more granular, actionable insights for marketers. Two new metrics, User Searches and Ad Opportunities are at the forefront of this transformation, powered by advancements in AI and multimodal search capabilities.

    4 6 月 2025

  • The ethical considerations and governance required for responsible Al adoption

    The ethical considerations and governance required for responsible Al adoption

    The adoption of AI brings significant ethical considerations and governance challenges that must not be ignored. The way we develop, deploy, and manage AI technologies will fundamentally impact the future of our societies and economies.

    4 6 月 2025

  • Beyond Generation: Why Agentic AI is Your Next Competitive Edge

    Beyond Generation: Why Agentic AI is Your Next Competitive Edge

    The rapid ascent of Generative AI (GenAI), powered by sophisticated Large Language Models (LLMs), has captured global attention, demonstrating remarkable capabilities in content creation, summarization, and interaction. Businesses are actively exploring and integrating these tools to enhance productivity and unlock new avenues for communication. However, focusing solely on GenAI overlooks the next seismic shift in artificial intelligence: Agentic AI.

    3 6 月 2025

  • KNOW GPT: Leveraging AI to Unlock Enterprise Knowledge

    KNOW GPT: Leveraging AI to Unlock Enterprise Knowledge

    In today's relentlessly competitive business landscape, agility and informed decision-making are paramount. The ability to swiftly access and leverage an organization's collective intelligence can be the critical differentiator between thriving and merely surviving. Yet, beneath the surface of many enterprises lies a significant, often underestimated drain on productivity and innovation: the pervasive challenge of fragmented and inaccessible knowledge.

    3 6 月 2025

  • AI: From cutting-edge innovation to widely accessible commodity

    AI: From cutting-edge innovation to widely accessible commodity

    At the recent Artefact Data & AI Summit in Dubai, Vincent Luciani, Co-founder and Executive Chairman of Artefact, shared his insights on the evolving landscape of artificial intelligence. This article covers the main points from Vincent’s session, including the commoditization of AI, its impact on the workforce, the associated challenges and opportunities, and strategic recommendations for organizations.

    3 6 月 2025

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