(US and Canada) Prominent data consultant Meethun Panda speaks with Kellie de Leon, Senior Director of Marketing at Treasure Data, in a video interview about the relation between the strategic roadmap and digital transformation, the role of data in enabling AI use cases, data quality and governance, and framing the technical architecture to address today’s privacy and compliance issues.
Panda begins by stating that digital transformation is all about value creation. He adds that organizations must balance prioritization and optimization when it comes to the tech strategy roadmap. According to Panda, reviewing the roadmap is intrinsic to keeping it relevant to changing business needs. He urges organizations to have regular reviews with various stakeholders.
As data leaders expand the use of artificial intelligence (AI), Panda highlights the following vital technical considerations to adhere to for enabling AI use cases:
Keeping up with data quality has been a challenge for many large organizations, says Panda. He maintains that organizations must train AI systems on high-quality data to generate accurate recommendations.
Further, he emphasizes the organizational data governance process for data accuracy and consistency. Panda believes that feeding the correct data and adopting the right tools and technology will help enable AI use cases faster.
Moving forward, he considers privacy and compliance as key differentiators in modern technical architecture. As consumers become more aware of data use, non-compliance leads to trust loss as well as financial and reputational loss. Therefore, it is critical to address privacy and compliance requirements in the technology landscape, says Panda.
Delving deeper, he advises organizations to consider asking the following fundamental questions before designing the architecture:
In conclusion, Panda recommends organizations amalgamate data and process-oriented approaches to develop the right architecture. Some of the best practices he suggests include:
CDO Magazine appreciates Meethun Panda for sharing his insights and data success stories with our global community.
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