We are proud to share with you the replays of the AI for Retail & Consumers' Speakers who took the stage at Adopt AI and delivered outstanding value to the summit. Their vision, strategic perspectives, and real-world experience have been invaluable in inspiring organizations to shape and accelerate their AI roadmaps.
We are proud to share with you the replays of the AI for Finance’ Speakers who took the stage at Adopt AI and delivered outstanding value to the summit. Their vision, strategic perspectives, and real-world experience have been invaluable in inspiring organizations to shape and accelerate their AI roadmaps.
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’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.
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.
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.
Many marketing leaders face the same paradox: despite major investments in Generative AI, the expected impact on costs, speed, and performance isn’t materializing. Why? Because most AI only “thinks”, it doesn’t act. Agentic AI changes that.
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.
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.
