Filtering by: Webinar
AI Strategy for Mission-Driven Organizations
Sep
4
11:00 AM11:00
Webinar

AI Strategy for Mission-Driven Organizations

The buzz around AI is loud, but the real shift is quieter and far more important: organizations that move thoughtfully—but decisively—are pulling ahead.

In this exclusive webinar, AI futurist Donald Farmer will explore why timing, mindset, and context matter so much for leadership teams today. It’s not about rushing into AI adoption—but understanding what’s at stake if you wait too long.

You’ll gain insight into:

  • The growing performance gap between early movers and hesitant organizations

  • Why mission-driven organizations can't afford to wait

  • What makes AI implementation challenging in resource-conscious sectors

It’s a timely discussion for leaders navigating where AI fits into their strategy—and how to approach it with purpose.

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WEBINAR: Automating Regulatory Reporting In Financial Services
Feb
22
12:00 PM12:00
Webinar

WEBINAR: Automating Regulatory Reporting In Financial Services

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Take control of your regulatory reporting with the ability to standardize, validate, and automate with confidence. WIT and Alteryx will address the increased reporting expectations for banks of all sizes. In this webinar you will learn from industry experts about the market factors and specific business needs, and learn more about reporting automation solutions from your peers at other banking institutions.

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WEBINAR: Great Lakes State of Analytics Benchmark Study
Sep
22
12:00 PM12:00
Webinar

WEBINAR: Great Lakes State of Analytics Benchmark Study

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WIT’s 2022 Great Lakes State of Analytics Benchmark Study was developed to provide the marketplace with critical insights regarding the current state, management, utilization, and distribution of data & analytics throughout organizations. The study consists of online interviews with business and technology professionals from largely upper mid-market organizations headquartered in the state of Michigan.

In this Webinar, we highlight many key findings including:

  • The current state of data analytics (adoption, management, distribution, and strategy) throughout organizations

  • Which technology/tools companies use for analytics

  • Where analytics is parked in an organization

  • What data platforms are being used for analytics needs

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