What must leaders do to drive adaptation for the IoT analytics and what are the key success factors

Ambuj Kathuria Ambuj Kathuria

Ambuj Kathuria

CTO || CDO || Catalyzing Transformation through Domain, Data, Digital & AI Engineering || Gen AI Lead Practitioner || Data & AI Leadership in Shaping Future-Ready Enterprises || Advisor to CXO || Pursuing PhD in Gen AI

发布日期: 2018年10月11日
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When we talk about IoT, Digital transformation -  everyone looked for a solution to tackle a Aggregator, scale streaming, multiple formats,  harnessing of data from IoT devices. And it concludes all our energy & money goes into modernizing infrastructure...

But with my experince major challenges lying somewhere else

  1. Data is everywhere therefore data management and analytics capabilities everywhere. All kind of analytics ( descriptive, diagnosis, predictive and prescriptive) are relevant for IoT
  2. More data results into more complexities in terms of processing, transforming real value out of data 
  3. End point integration with operation system, partner system and bidirectional communication & control of end points  
  4. Action based analytics at edge
  5. we can apply AI in two ways - Harnessing IoT data,  driving behaviors




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