Events DAM in the Modern Workplace: From Startups to Global Brands

This course has now ended and is available to purchase on-demand here.

It’s Essential

Getting the choice right and early optimization are keys to success.
It’s all dependent on the knowledge and skills of DAM leaders.
This course is for DAM leaders, aspiring DAM leaders and would-be DAM leaders.

Events Creative Tech London 2027

Creative technologists, innovators, and curious minds meet in London for Creative Tech London 2027, a day dedicated to the ideas, tools, and talent shaping the next era of creative innovation.

This is where creativity meets code, where experimentation drives transformation, and where the boundaries between art, technology, and experience disappear.

In an age of AI acceleration, immersive worlds, and connected audiences, Creative Tech London is your space to explore what’s next - and how to make it real.

Events Creative Tech London 2026 Testimonial Uma Shah

HS Creative Tech events provide me with the opportunity to learn about how other companies are blending technology and creativity to create products which deliver value, but also stand out in an age of information overload.

Events Semantic Data Europe 2026 Semantic Data Community Forum with Viktor Mayer-Schönberger

Over the past three years of the Semantic Data Conference, the community has shown itself to be comprised of strong, independent thinkers who are comfortable operating at the vanguard of this field.

We invite you to engage with keynote speaker Professor Viktor Mayer‑Schönberger directly in an open Q&A and dialogue. This is an opportunity to bring your toughest questions, challenge assumptions, and explore together how semantics, governance, and AI will shape the years ahead.

Events Semantic Data Europe 2026 Semantics in the Age of AI: Questions Practitioners Must Answer in 2026

Context and challenge

As AI systems become the primary way people and applications access information, the semantic layer (ontologies, knowledge graphs, and contextual metadata) has moved from nice‑to‑have to critical infrastructure. Yet many organisations still struggle to decide when to invest in graphs, how to manage change, and how to align semantic work with data and AI teams.

Meeting the challenge