IAMT UK Summer Event · AWS HQ London · 18 August 2026

The Sector-Agnostic Shift

Technology Innovation Beyond Media

Nicola Cogotti

Nicola Cogotti

Founder & CTO, Alpha Cogs
IAMT UK Council Member

James Whitebread

James Whitebread

CTO, CARE ADHD
Emmy Award Winner · CIO 100

Nicola

Introduction

The world we knew: Sector Silos

For years, each industry built its own tech stack in isolation. Vertical-specific solutions. Proprietary standards. Walled gardens.

At the center of everything: CONTENT

Each sector had its own content type, its own rules, its own supply chain.

Media
Health
Fashion
Travel
Sport

Isolated industries, ad-hoc solutions

Nicola

Introduction

The paradigm shift: from Content to People

Movie

They don't just consume

People create, remix, and participate in content across every industry

Heart

They want emotions

Connection, belonging, trust — not just features and functionality

Brain

They decide emotionally

Choices at the moment of intent are driven by emotion, not logic

90%

of choices at the moment of intent are driven by emotions rather than rational thinking

Neuroscience News (2024) — Research by Prof. Baba Shiv, Stanford GSB

Nicola

The New Era

When people are at the center,
boundaries dissolve

Same human needs

Engagement, personalisation, trust — whether shopping, streaming, or seeking a diagnosis

Same tech patterns

AI, real-time interaction, conversational interfaces, emotional intelligence

Cross-pollination = innovation

Solutions from one industry can transform another. The best innovations transfer freely.

PEOPLE Media Health Fashion Travel Sport EdTech
Nicola

Case Study 01

From Fashion to MediaTech:
The Emotional Intelligence Engine

Classical

Origin: Fashion & Luxury

Built for leading luxury brands — understanding emotional drivers in luxury purchasing. AI that understands why people choose.

Rocket

Transfer: IAMT MAI

Same EI core → MediaTech's first Agentic AI

• Real-time member knowledge learning
• Vendor ↔ Customer connections
• Conversational, 24/7 industry advocate
• Answer Engine Optimization (AEO)

THE PATTERN

EIE Fashion & Luxury MAI MediaTech (IAMT) Healthcare CARE ADHD (next)

Same core AI. Different industries. Proven impact.

Nicola

Case Study 02

The same engine.
A completely different mission.

We're bringing the Emotional Intelligence Engine into healthcare — where understanding how patients feel is as critical as understanding what they report.

And for this journey, we found the perfect partner...

A CTO who's lived the sector-agnostic shift firsthand — from Disney to the Royal Opera House, from £2B travel platforms to transforming mental health.

James

The Journey

James Whitebread

Chief Technology Officer, CARE ADHD · 25+ years · Emmy Award Winner · CIO 100 #11

Media & Entertainment
Technicolor
Travel & Hospitality
HBX Group — $2B growth, IPO preparation
Arts & Culture
Royal Opera House — CIO 100 #11
Healthcare — now
CARE ADHD — £30M → £100M+ scale
Bulb

The common thread

"Technology exists to enable growth, resilience, and better decisions — not to exist for its own sake."

Same leadership. Same discipline. Applied wherever people need transformation.

8+
Industries
1000+
Teams Led
James

The Journey

CARE ADHD:
Media-grade tech for neurodiverse healthcare

Mission: Transform neurodiverse care by combining clinical excellence, innovative technology, and human-centred support

15K
patients/month
£100M+
revenue scale
Satellite

From Media Workflows

Scalable platform architecture, real-time processing, CDN patterns

Robot

AI-Powered Patient Journey

Intelligent engagement, predictive triage, automated workflows

Heart

Emotional Intelligence in Care

Understanding how patients feel, not just what they say

James

The Convergence

The Convergence

When technology stops being about the sector and starts being about the human outcome — everything converges.

TV

Media gave us

Real-time engagement, scalable delivery, audience understanding, emotional storytelling

Hospital

Healthcare needs

Patient engagement, scalable care, predictive intelligence, empathetic communication

Recycle

Same DNA

The tech patterns are identical. Only the vocabulary changes.

Nicola

Case Study 03

Noēsis: Knowledge that thinks

Patent-pending knowledge intelligence system:

  • • Simulates human learning — reads progressively
  • • Builds deep relationship graphs automatically
  • • Discovers cross-domain connections at query time
  • • Runs entirely on-premises, consumer hardware
23×
faster vs sequential
Cross-KB
multi-hop reasoning
100%
on-premises
Noēsis 3D Knowledge Graph
Nicola

Case Study 03 · Patent-Pending

Noēsis AIMD:
TCP science meets AI orchestration

TCP congestion control (1988) adapted to orchestrate parallel AI document processing across distributed workers.

23×
faster ingestion
0
OOM crashes
1:06
vs 25 min sequential
13.4 MB · zero config

The AIMD Algorithm

TCP/IP

packets · ms

→

Noēsis

documents · min

success → concurrency + 1
failure → concurrency ÷ 2

"Adapting AIMD from TCP congestion control to ingestion orchestration is a neat transfer of an old idea to a new setting, and the prompt-injection containment addresses something most RAG systems simply overlook."

ZG

Zirui Guo

Lead Author, LightRAG (EMNLP 2025) · HKU

Nicola

Case Study 03

Does it actually work?
Validated on academic benchmarks

We tested Noēsis against the standard multi-hop QA benchmark (HotpotQA, 1000 questions) used by all major Graph-RAG systems.

The key insight:

Our graph is built by a 35B on-premises model (not GPT-4o). And on a 193-page book, we achieve 90% verified precision on causal relationships spanning hundreds of pages.

A 2.3B smartphone model + Noēsis architecture matches GPT-4o dense retrieval. The architecture does 80% of the work.

HotpotQA Results (EM score)

GraphRAG (Microsoft)31.7
Dense retrieval + GPT-4o47.6
Noēsis (35B local) + GPT-4o59.5
HopRAG (GPT-4o for all)62.0
StepChain SOTA (GPT-4o)66.7

+28 points above Microsoft GraphRAG
96% of purpose-built SOTA performance

Nicola

The Pattern

The real innovation is the transfer itself

Art → Robot

EIE

Fashion emotional intelligence → Industry AI platform

TV → Hospital

Media → Health

Broadcast engineering → 50K patient/week platform

Globe → Page

Noēsis AIMD

TCP networking → AI document orchestration

When technology becomes sector-agnostic, the competitive advantage shifts from building proprietary tech to recognising patterns across domains.

The next breakthrough
will come from where
you're not looking yet.

The question isn't what sector are you in.
It's what sector should you be learning from.

Nicola Cogotti

Nicola Cogotti

nicola.cogotti@alphacogs.co.uk

James Whitebread

James Whitebread

james.whitebread@careadhd.co.uk

Alpha Cogs · CARE ADHD · IAMT

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