1、Building a data strategy for AI-driven success,May 14,2025Bharath Vasudevan,Quest Software,May 2024,Building a successful AI strategy requires a few things,Know what your leadership is facing,Find the right people who can help,Understand the data and AI lifecycle,Building a successful AI strategy re
2、quires a few things,Know what your leadership is facing,Find the right people who can help,Understand the data and AI lifecycle,What keeps your leaders up at night?,Board pressure to demonstrate AI successes,Disparate systems holding valuable data,Not knowing if your data is trustworthy,An ever-pres
3、ent threat landscape,Operationalizing a meaningful AI strategy,But we know what always matters,Reducing Risk,Making Money,Taking out cost,Operational tasks needed for AI success,Realizing the savings and the promise of AI,Stitching your ERP and CRM data with third party data to drive insights,Showin
4、g how all your data is transformed,from origin to reports to establish trust,Maintaining compliance while protecting your most critical resources,Bringing innovative and impactful AI projects to production,Building a successful AI strategy requires a few things,Know what your leadership is facing,Fi
5、nd the right people who can help,Understand the data and AI lifecycle,Lets look at the data and AI lifecycle,Govern,Move,Build,Model,Use,In the beginning,Move,Model,Build,Historically,applications were built on databases and tuned.The data produced from these applications were used by analyst teams
6、to derive insights for the business.Over time,as more and more applications were built,there were many sources of information available to an organization,but all the data was trapped in individual application silos.The data analysts job got exponentially harder because the data was never intended t