VIDEO | Eminent Data Consultant: Feeding Correct Data Will Enable AI Use Cases Faster

VIDEO | Eminent Data Consultant: Feeding Correct Data Will Enable AI Use Cases Faster

(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:

  • Identify the data domains
  • Identify where to get the source data from
  • Figure out the true integration pattern to bring the necessary data
  • Make tooling and technology choices for data cleaning to build relevant models

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:

  • What would the privacy requirements for a product be in a different market and country?
  • How can the organization remain compliant?
  • How can it implement best practices like zero trust?
  • Which skills and capacities are needed to support them, and what would be the architecture plan?

In conclusion, Panda recommends organizations amalgamate data and process-oriented approaches to develop the right architecture. Some of the best practices he suggests include:

  • Adoption of privacy-by-design approach
  • Establishment of data governance and security policies within the enterprise
  • Building a robust enterprise-wide data security architecture

CDO Magazine appreciates Meethun Panda for sharing his insights and data success stories with our global community.

See more from Meethun Panda 

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