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In this panel discussion, leaders in the enterprise AI and Machine Learning as well as venture community discussed the opportunity to democratize data for innovative use cases. They explored the question of what is really meant by democratizing data and AI. They discussed the ways in which they are a bridge between technical and non-technical teams driving transformative innovation and leadership for data-driven decision-making. The panelists also discussed the data challenges around quality, collection bias, and pipelines. They explored how AI has the potential to supercharge software innovation and can make meaningful impact on Industry and Business Transformation.