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Webinar
Too Many AI Tools, Too Little Return
Trusted by Industry Leaders for Delivering Cutting-Edge, AI-Driven Solutions That Drive Success.
abstract
Most organizations are now paying for a range of AI tools with no shared view of who uses what, or whether any of it is working. This session covers how to bring order to AI tooling across an organization, match tools to the work they genuinely support, and build a return case that finance and the board will accept.
Ask most companies what they spend on AI tools and you will get an estimate. Ask what they get back and the room goes quiet. Licenses multiply across teams, usage goes untracked, groups duplicate each other's work without knowing it, and nobody can answer the board's question about return. The result is rising cost, uneven adoption, and no shared view of which tools are earning their place.
This webinar focuses on how organizations bring structure to AI tooling without slowing their teams down. Getting control is not about buying less, It is about knowing which tools suit which work, setting standards people will actually follow, and measuring productivity in terms finance will accept. The session covers how to map tools to the work they genuinely support, where spend accumulates unnoticed, and how to build a return case that survives scrutiny.
webinar Details
Date
Tuesday,
September 22, 2026
Time
10:00 AM EST (New York)
5:00 PM KSA (Riyadh)
6:00 PM GST (Dubai)
duration
1 Hour
SPEAKER
Jordan Martz
Jordan Martz has spent 20 years building, selling, and delivering enterprise data platforms across 8 industry verticals, with top individual awards at five consecutive technology companies. At Attunity he managed the OEM relationships for AWS Database Migration Service and Microsoft Azure Database Migration Service, as well as, data lake strategies for their largest joint customers. At Databricks he was SA of the Year, building Centers of Excellence across 86 consulting partners and onboarding ~10,000 consultants, with key wins at T-Mobile, CVS Health, and Walmart. Through DataMartz, the practice he founded in 2007, he has delivered 20+ engagements over the last four years — Apple, Coca-Cola, Campbell’s, Chevron, Anaplan, Nationwide, Meritor — spanning ERP / CRM consolidation, multi-domain MDM, and metadata-driven Databricks frameworks, and carried #1 quota at Fivetran in 2023 and 2024 leading their ERP Data Capture Center of Excellence. Co-author of NiFi for Dummies (1M+ copies distributed). Speaker at Data+AI Summit, Snowflake Summit, and Databricks Summit. Today he is a Partner ISV Solution Architect at VAST Data and has advised Soothsayer Analytics since the beginning. He joins this session from the buyer’s seat: what AI tool sprawl looks like when it lands on top of unconsolidated ERP and CRM operations, and what it costs to merge it all.
Key Takeaways
This session is designed to provide practical clarity, not just conceptual understanding. Participants will leave knowing how to:
Match Tools to the Work
Understand how to identify which AI tools are genuinely suited to the work teams need to accomplish.
Measure What Matters
Learn how to measure AI-driven productivity gains in terms that finance leaders can validate and accept.
Control Hidden AI Spend
Identify where AI costs quietly accumulate across teams and what it takes to bring fragmented spending under control.
Set Standards People Follow
Explore how to establish practical AI tooling standards across teams without slowing down adoption or innovation.
Build a Return Case That Holds Up
Learn how to connect AI tooling decisions to business outcomes and build a credible return case that can withstand scrutiny from finance and the board.
Who Should Attend
Technology and Digital Leadership
CIOs, CTOs and AI leadership responsible for the enterprise AI tooling estate
Finance Leaders
Leaders accountable for software spend, cost control, and demonstrating return on technology investment
Operations and Functional Leaders
Leaders whose teams use AI tools daily and are measured on productivity outcomes
Data, Analytics, and AI Leaders
Leaders setting standards for AI adoption and governance across business functions
If your organization is spending more on AI tools without a clear view of what is being used, what is delivering value, or where costs are accumulating, this session is for you.
