Part of the problem is our casual attitude to data readiness and AI audits during due diligence.
Asia-Pacific M&A activity is in full swing, but a critical problem lurks beneath those heady numbers. Most organizations rushing into these deals have no idea what AI systems they're actually acquiring — or what shadow AI already runs inside their own walls.
Despite 30 to 40 billion [dollars] being invested in generative AI, 95% of enterprise AI pilots delivered no measurable business impact.
According to David Irecki, chief technology officer and senior director of solution consulting for APJ at Boomi, referencing the MIT study, integration — not algorithms or compute power — is the primary failure point. And when two companies merge, this integration challenge multiplies.
The problem really starts with an unruly data architecture.
Author's summary: Data and AI can sabotage M&A dreams due to poor integration.