Levelling the playing field – Data centric design

In this discussion, Hemant Patel discusses the transformative power of data analytics and its increasing role in business decision-making.

He highlights the rapid evolution of large language models and generative AI, emphasizing the need for robust governance and regulation. The conversation underscores the importance of data literacy across organizations, ensuring data-driven decision-making becomes more prevalent.

There is the potential for data science to level the playing field for businesses, both big and small. Hemant discusses Anumana’s Code Academy initiative, aimed at equipping the next generation with vital coding skills, particularly in Python.

Find out more about Anumana -> Here.

Key Points

  • Rapid advancements observed in large language models and generative AI.
  • The increasing importance of data literacy across all organizational tiers.
  • The Code Academy initiative champions Python as a pivotal skill for the future.
  • Data-driven decision-making is becoming a standard in modern businesses.
  • The need for robust governance and regulation in data analytics.
  • The potential of data science to democratize the business landscape.
  • The urgency for businesses to integrate data analytics early on.
  • Structured data and its accessibility are crucial for effective decision-making.
  • The future trajectory of data analytics and its role in shaping businesses.
  • The challenges and opportunities presented by data analytics for professionals.
  • The transformative role of the Chief Data Officer in modern organizations.
  • The increasing demand for coding skills in the job market.

Key Statistics

  • Government paper from 2012 highlighted a significant skills gap in the market.
  • Over 90% of businesses are currently data analytics illiterate.
  • The Code Academy initiative saw 67 applicants for just 20 available spaces in one instance.
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Key Take Aways

  • Data analytics is no longer a luxury but a necessity for businesses.
  • Early adoption of data analytics can provide a competitive edge.
  • The future workforce will require a blend of data literacy and technical proficiency.
  • Governance and regulation will play a pivotal role in the ethical application of data analytics.
  • The Code Academy is a testament to the growing interest in coding among the younger generation.
  • Businesses, both big and small, need to prioritize data structuring and accessibility.
  • The conversation around data is shifting from mere storage to effective utilization.
  • The next generation will likely see programming languages, like Python, as essential as spoken languages.
  • The demand for data professionals will continue to rise, emphasizing the skills gap.
  • Organizations need to foster a culture of continuous learning to stay relevant.
  • The potential of data analytics extends beyond business to societal impacts.
  • Embracing data analytics is not just about adopting technology but also about adapting mindsets.

#Anumana

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