Zoho rebuilds Zoho Analytics around an ontology, a semantic layer and a multi-agent Ask Zia. The move lands in a market where everybody, from SAP to Microsoft, now fights over business context. AI agents without business context are confident guessers. They do not know what "revenue" means in your company, which customer record is the right one, or which supplier belongs to which purchase order. With its new release of Zoho Analytics, Zoho draws the consequence and builds the context first, then the agents on top. What Zoho announced On October 28, Zoho announced a major new version of Zoho Analytics. Zoho now calls it an Agentic Analytics platform and positions it as the trusted intelligence layer for businesses. The release rests on four pillars: Trusted data and business context. A new ontology models canonical business entities such as customers, orders and invoices, their relationships and their mapping to source tables. A semantic layer , which Zoho calls a busines...
Vendor keynote season has left us with a great story: autonomous agents run the front office, orchestration layers make everything talk to everything, and trust layers keep it all compliant. As we discussed in our CRMKonvo with Jon Reed , co-founder of Diginomica , the view from the ground is less glossy. Customers and vendors are having different conversations, and the gap is not a messaging problem. It is a conflict of interest, and the buyer is paying for it. TL;DR If you want to watch the full CRMKonvo, please go ahead here (optimized for smartphones) or here (optimized for tablets/computers). Else, be my guest and continue to read. Or do both … Tokenmaxxing Is a Symptom, Not a Strategy Tokenmaxxing probably peaked about six months ago, Jon reckons, and the wake-up call followed. One of his recent stories covered yet another per-user cap on AI spend, and the pushback he got on X captures the muddle: a $29 cap might be short-sighted, while $10,000 per user might be a good in...