Ketch vs KPMG

Ketch Launches Iris Cohort-Based Cookie Scanner

Ketch, an AI privacy company, launched Iris, a patent-pending, cohort-based scanning algorithm designed to replace legacy cookie-scanning approaches. Iris uses AI-driven cohorting and signature-based grouping to cluster pages by observed tracker behavior rather than URL structure, enabling automatic discovery and re-cohorting as new page types or tests appear. The algorithm offers intelligent representative sampling, confirm-and-discover cycles that compound coverage over time, and hop-distance classification to distinguish first-party tags from downstream vendor trackers. Ketch positions Iris as a more stable, defensible approach to scanning that reduces reliance on random sampling and costly exhaustive scans, aimed at privacy and engineering teams managing web trackers and disclosures.

• Ketch unveiled Iris, a patent-pending, cohort-based scanning algorithm to replace legacy cookie scanning approaches.
• Iris applies AI-driven clustering to group pages by tracker behavior and deliver a complete view of cookies and trackers on a digital property.
• The algorithm includes signature-based cohorting, automatic discovery and re-cohorting, intelligent representative sampling, confirm-and-discover cycles, and hop-distance classification.

Ketch earns Privacy & Consent Leader recognition in Snowflake's fifth annual Modern Marketing Data Stack report

Ketch earns recognition at Cannes Lions 2026 as Snowflake's fifth edition spotlights the agentic marketing era, and the permissioned data required to succeed.

Optimizely Retires DXP Label, Launches Agent Platform and Virtual Teammates

At Opticon, Optimizely retired its digital experience platform label, rebranding itself as an AI platform for marketing. The company introduced Virtual Teammates, role-based AI agents, and a family of post-trained models including Mark AI, Mark-IQ, and Mark-Bench. KPMG reported 22 custom agents and 4,278 executions in 90 days, highlighting governance as the key bottleneck. Optimizely claims its Mark models outperform Claude Code on its own benchmark at half the cost, though the benchmark is vendor-authored. The article also discusses tokenomics and human judgment as critical factors for AI adoption.

• Optimizely retired the DXP label and repositioned as an AI platform for marketing.
• The company launched Virtual Teammates, role-based AI agents, and a family of post-trained models.
• KPMG reported 22 custom agents and 4,278 agent executions in 90 days.

Private Equity Growth Continues Despite Uncertainties

KPMG's 'Pulse of Private Equity Q2’26' finds the global private equity market resilient despite geopolitical tensions, inflation and varied interest-rate environments. In H1 2026 roughly $1 trillion was invested across more than 9,200 transactions; deal counts are at their lowest in over five years while invested capital remains high. Europe (EMA) saw a rolling 12‑month investment volume of $782.4 billion, with Germany accounting for $88.6 billion. KPMG highlights an upcoming succession wave among German family-owned businesses (estimated 260–295 larger firms considering external succession over the next decade) and identifies investment opportunities in AI, energy and data infrastructure. The report also notes a selective exit market, rising use of secondary transactions and continuation vehicles, and cites Bain Capital’s takeover of Everllence as a notable H1 transaction.

• KPMG 'Pulse of Private Equity Q2’26' reports ~USD 1 trillion invested worldwide in H1 2026 across more than 9,200 transactions.
• Deal counts fell to their lowest rolling 12‑month level in over five years, while total invested volume stayed high.
• EMA region rolling 12‑month investment volume rose to USD 782.4 billion; Germany accounted for USD 88.6 billion.

Six AI Questions Enterprises Must Answer

A write-up of six strategic questions that surfaced repeatedly at KPMG's Tech and Innovation Symposium and on The AI Daily Brief. The article argues the enterprise AI paradigm has shifted from assisted AI (tooling that helps humans) to agentic AI (agents that do work), which forces foundational decisions about redesigning processes versus bolting on AI, thinking in architectures instead of vendor-by-vendor, provisioning and monitoring AI cost, practical enablement and knowledge transfer, how business models may change (e.g., outcomes-based pricing), and designing systems for planned obsolescence. The piece notes few organizations have answers yet and cites the need for technical layers such as multi-model tiering, routing, and token-cost observability — capabilities the author says their company Flatkey is building.

• The article reports a shift from assisted AI to agentic AI as the new enterprise paradigm.
• Six core enterprise questions were highlighted: redesign vs bolt-on, architecture vs vendor selection, cost provisioning, enablement, external business-model change, and designing for obsolescence.
• KPMG's Steve Chase warned that bolting an AI strategy onto existing processes is risky.