AI Technology Archives - Page 2 of 13

Artefact Co-Chairs Working Group in Setting the First Global AI Standards for Property Surveyors

As a testament to its leadership in data and AI for the built environment, Artefact co-chaired the writing and publishing of the 1st global edition of the Royal Institution of Chartered Surveyors (RICS) AI Standards. These standards, applicable to all 150,000 chartered surveyors from the 9th of March 2026, are believed to be the first published by any national property trade body and will serve as a template for future guidance on responsible AI deployment.

The Economy of Intentionality: Executive Brand Experience in 2026

To understand the landscape of 2026, we must revisit the trajectory of the experience economy over the past few years. In the immediate post-pandemic period, we witnessed the phenomenon of the “Revenge of Presence”: an explosion of mass events, festivals, and performance-driven wellness—marathons, triathlons, and frenetic networking agendas in crowded cafés. However, this excess gave rise to a new pathology: sensory fatigue. The executive of 2026 arrives at events saturated by screens, shallow networking, and endless promises of productivity.

From CDP to Intelligent Growth – How Data and AI Are Powering the Next Wave of Marketing Transformation

In an era where every customer interaction produces a data point, marketing transformation is no longer just about technology adoption, it is about intelligence. The next evolution of digital marketing isn’t defined by isolated tools, but by how seamlessly data and AI converge to create meaningful, measurable growth.

Artefact White Paper “The Agentic AI Advantage in Healthcare: Accelerating Pharma’s HCP-Centric Marketing from Insight to Outcome”

Artefact’s new ebook, The Agentic AI Advantage in Healthcare: Accelerating Pharma’s HCP-Centric Marketing from Insight to Outcome, demonstrates that agentic AI represents a major step forward in solving these challenges. While traditional generative AI focuses on creating content, agentic AI can take action. It receives goals and constraints, reasons strategically, and executes tasks autonomously within the guardrails of compliance and approved data sources. Agentic AI elevates AI from a productivity tool to a business performance engine.

Artefact White Paper “ESG in action: Turning sustainability data into business intelligence”

Over the past decade, sustainability shifted from the periphery of corporate reputation to the core of business performance. Artefact’s new ebook, ESG in Action, How to convert Environmental, Social, and Governance (ESG) data into business intelligence, documents this transition through semi-structured interviews with C-suite leaders from global companies such as Accor, Legrand, Tarkett, Ardian, Heineken, Siplec and Schenker, as well as insights from the OECD and Artefact’s sustainability and data experts.

Will the Future of Agentic AI rely on Knowledge Graphs?

As enterprises rush to operationalize AI, most discover that their data infrastructure was never designed for autonomous reasoning. Today, up to 80% of AI implementation time is spent on data wrangling and schema alignment, a symptom of infrastructures built for storage, not understanding. Without a foundation that captures relationships and meaning, agents will remain powerful, but blind. With AI agents becoming active participants in enterprise workflows, the nature and scale of data querying are evolving.

Shaping AI strategy in Energy & Industry

For the last 18 months, 'Generative AI' has dominated every C-level strategy session. But what if that's already the old conversation? In the energy and industry sectors, the discussion is rapidly shifting from GenAI to Agentic AI. This isn't just an incremental update; it's a new paradigm, one that moves from simply augmenting tasks to completely reinventing core industrial processes.

AI-Controlled Ads: The Future of Advertising

When OpenAI announced Atlas, its new ChatGPT-powered browser, it didn’t just launch another product. It opened a door, one that leads into the next era of human-computer interaction, and, inevitably, into a new frontier for advertising.

Data Platforms for the Agentic Era

Most companies are not ready to replace a dashboard era data stack with an AI stack. Salesforce's latest State of Data & Analytics indicates that 84% of data and analytics leaders say their strategies require a complete overhaul before AI ambitions can succeed. Leaders estimate that 26% of their data is untrustworthy, only 43% report formal data governance frameworks, and around 50% are not confident in their ability to generate and deliver timely insights. At the same time 70% believe the most valuable insights are locked in unstructured data. The conclusion is straightforward: the obstacle is not enthusiasm but foundation, and that foundation must change before agentic systems can scale.