Bridging the Chasm: From Data Science MVP To Impact at Scale

AI minimum viable products (MVPs) that are one-hit wonders litter the market. Very few of them become industry-defining solutions. Why? This Cognizant thought leadership paper examines why many data science MVPs fail to impress and do not scale. It also delves deeper into the right mindset to make data science MVPs deliver and the challenges in achieving it. 

Read this paper to learn: 

  • Understanding the challenges of MVPs for data science
  • Creating the right mindset for agile MVP development
  • Why MVP is only part of a journey and what else matters
  • Challenges and advice on bridging different mindsets

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