INTELLIGENCE FOR
ENTERPRISE
L&D LEADERS.
Case studies, research, guides and insights on skills intelligence,
content rationalisation and the future of enterprise learning.
CASE STUDIES
Real results from enterprise teams.
How Ericsson achieved 79% skills tagging accuracy with Filtered
Protima Talapatra is the Head of Learning Delivery Transformation at Ericsson, and oversees L&D for a large, globally distributed employee population.
How Imperial Brands Reduced Pathway Curation Time by 83%
How Imperial Brands Reduced Pathway Curation Time by 83%Imperial Brands is no stranger to complex operations. Managing a diverse workforce across multiple global markets means they place a high value on the growth and development of their people. But the process of...
How AstraZeneca adopted a data-driven approach to learning content management
Discover how Filtered helped AstraZeneca identify a 41% saving on learning content spend using Filtered.
How GSK used Filtered to get the best return on its L&D spend
How GSK used Filtered to get the best return on its L&D spendMartin Peart, Onboarding & Training Director at GSK, explains how he worked with Filtered to generate a £300k p/a cost saving through a data led re-alignment of GSK’s leadership and business skills...
How NatWest made sense of 250k+ learning titles and improved the learner experience with Filtered
NatWest currently has 250,000 to 300,000 learning assets within the organisation, which comes with a common set of problems faced by enterprise businesses today.
LATEST INSIGHTS
From the Filtered team.
What is skills intelligence, and why it matters in 2026
Almost every large enterprise now has a skills strategy. Skills-based organisation design, skills taxonomies, skills-led talent planning ; the language is everywhere.
Does your enterprise have too much learning content?
It is an uncomfortable question for an L&D function that has spent years building, buying and curating a library.
What is learning infrastructure, and why does enterprise AI need it?
Every large enterprise is now rolling out AI. Copilot in Teams, assistants embedded in the flow of work, agents wired into HR and IT systems.
The Shape of the Moat Has Changed: What Enterprise AI Gets to Build That Music Streaming Couldn’t
I landed on a really interesting piece this week on Spotify’s “narrow moat”. The argument, in the way Morningstar-style moat analysis tends to make it, is that despite 600 million users, a dominant brand and the strongest personalisation data in audio, Spotify’s defensibility is structurally limited.
The Trust Stack Enterprise AI Will Actually Need
Malcolm Leeming is CEO of Filtered Technologies. Filtered is ISO 27001, Cyber Essentials-and FuturePlus IMPACT CERTIFIED, we are on the path to Cyber Essentials plus.
YOUR ENTERPRISE AI PROGRAMME NEEDS THIS INFRASTRUCTURE.
See how Filtered Intelligence connects your content, skills data and learning systems in a walkthrough built around your stack.