Observed Signal · Jul 9, 2026 · Hiring · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
USEReady Appoints Vivekanandan Srinivasan to Lead Snowflake AI Practice
USEReady has appointed Vivekanandan (Vivek) Srinivasan as Practice Leader for its Snowflake AI Adoption practice. Vivek joins from Verizon, where he served as Senior Manager, GenAI Enablement, and brings extensive experience in Snowflake, generative AI, data science, cloud analytics and enterprise BI. At USEReady he will lead Snowflake-aligned service delivery, go-to-market efforts, and AI adoption initiatives tied to the company’s SemaBridge semantic interoperability platform. USEReady co-founders Uday Hegde and Lalit Bakshi framed the hire as strengthening the firm’s Snowflake credibility and ability to engage enterprise customers. Vivek is co-author of The Ultimate Guide to Snowpark and has prior roles at Lumel and LatentView Analytics. The piece was published July 9, 2026.
Appointment strengthens USEReady’s Snowflake-focused service capability and signals commercial activity around semantic interoperability (SemaBridge) and enterprise Snowflake AI adoption, but it is a company-level hire rather than a major platform policy or technical release.
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Key Takeaways & Evidence Grounding
- USEReady appointed Vivekanandan Srinivasan as Practice Leader, Snowflake AI Adoption practice.
- Vivekanandan Srinivasan previously worked at Verizon as Senior Manager, GenAI Enablement, leading the GenAI Prompt Engineering practice.
- At USEReady, he will lead Snowflake-aligned service delivery, go-to-market efforts, and AI adoption initiatives including work around SemaBridge.
- Vivek is co-author of The Ultimate Guide to Snowpark and has held prior roles at Lumel and LatentView Analytics.
- Article publication date: 2026-07-09.
Connected Companies & Entities
2 Entities mapped“As we deepen our Snowflake relationship and take SemaBridge, a semantic interoperability platform that helps enterprises maintain consistent...”
“Vivek joins USEReady from Verizon, where he served as Senior Manager, GenAI Enablement, leading the company’s GenAI Prompt Engineering pract...”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
USEReady Launches SemaBridge for Unified Business Semantics
USEReady announced SemaBridge, a semantic interoperability platform designed to extract, normalize, version and deploy enterprise business semantics from existing BI tools into Snowflake and AI workflows. SemaBridge can ingest semantic models from Power BI, Tableau and Qlik, convert them to an open canonical standard, and deploy governed definitions natively into Snowflake Semantic Views, Snowflake Intelligence, Cortex Analyst and Cortex Agents. The platform runs within customer infrastructure with full lineage and an immutable audit trail, stores no credentials, and detects semantic drift and unsupported mappings prior to deployment. USEReady plans demonstrations at Snowflake Summit 2026 and is offering limited Semantic Health Check and Cortex Agent Readiness proof‑of‑concept engagements.
RudderStack Launches RudderAI for Snowflake Customers
RudderStack announced RudderAI at Snowflake Summit 26 on June 3, 2026. RudderAI is a suite of CLI, MCP tools, and AI agents designed to enable agentic workflows across the customer data lifecycle for customers using Snowflake’s AI Data Cloud. The product launches with five agents — Tracking, Debugging, Customer 360, Analytics, and Activation — to help teams build and debug infrastructure, unify customer profiles, analyze data without SQL, and generate audiences for downstream activation. RudderAI is accessible via the RudderStack app, command line, Slack, and Claude. RudderStack said it will extend RudderAI toward a real-time decisioning agent for end-to-end activation as behavioral signals arrive. Quotes from RudderStack’s CEO Soumyadeb Mitra and Snowflake’s Amy Kodl were included in the announcement.
Snowflake Unveils Project SnowWork: AI for Business Efficiency
Snowflake announced the research preview of Project SnowWork, an autonomous enterprise AI platform designed to let business users request and complete multi-step, data-grounded workflows via conversational prompts. Project SnowWork integrates Snowflake’s data platform and governance (RBAC, masking, audit logging) to plan, analyze and execute tasks end-to-end — from generating executive slide decks and forecasts to identifying churn risks and supply-chain bottlenecks. The platform offers pre-built persona-specific skills for roles such as finance, sales and marketing, and is positioned as part of Snowflake’s broader enterprise AI stack alongside Snowflake Intelligence and Cortex Code. The research preview is rolling out to a limited set of customers.
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