How AI is driving the evolution of data analytics

Dr. Joseph Cazier, Clinical Professor and Associate Director of the Centre for AI and Data Analytics at Arizona State University, delves into AI and data analytics in higher education. As generative AI becomes more accessible, it is enabling organizations of all sizes to harness the power of data like never before. This shift has leveled the playing field, providing smaller and midsize firms with access to the same datasets as larger organizations. Today, Dr. Cazier discusses how AI is driving the evolution of data analytics.
About the speaker

Dr. Joseph Cazier

Arizona State University

 is a little camera shy

Dr. Joseph is Clinical Professor and Associate Director at the Centre for AI and Data at Arizona State University

Show Notes

  • 01:51
    AIs impact on analytics and benefits for small to medium sized businesses
    Pre-trained generative AI offers a significant advantage to SMBs. With access to this "world's data" through generative models, smaller businesses can compete more effectively against larger players if they are agile and adapt quickly based on AI insights.
  • 08:52
    Key skills for analysts in the age of generative AI
    Skills include a solid understanding of AI principles and deep business knowledge. Leadership skills are crucial for executing AI strategies, in addition to the ability to prioritize, understand market dynamics, and foster collaboration across teams.
  • 12:03
    The impact of generative AI on data quality
    As AI becomes more accessible, the quality of decisions will be affected by the quality of the data. Over the next three to five years, a big leap in data quality and prioritization is anticipated as more people use it to make business decisions.
  • 16:13
    The future of AI, blockchain, and quantum computing
    Combining AI with blockchain technology will improve data trustworthiness and security through immutable records. Additionally, quantum computing will enable new levels of AI, including solving complex optimization problems and addressing large-scale issues.
  • 21:16
    AI, analytics, and leadership
    People in leadership are at the center of AI and need to actively guide and shape the development of AI within their organizations. Dr. Josephs book, "Leading in Analytics," is a resource for leaders seeking to effectively implement AI.

Quotes

  • "To succeed in AI, it's not the insights so much that matters, it's your ability to act on that insight." - Dr. Joseph Cazier

  • "Combining AI with blockchain could help us get some of the best that AI has to offer while bringing in accountability, provenance, credibility, and trust, as you can merge those." - Dr. Joseph Cazier

  • "At the center of AI is people in leadership. We must understand it to guide it. Don't just passively sit behind and let it evolve. Think about where it can go in your organization, get ahead of it." - Dr. Joseph Cazier

  • "If you're just collecting and not using that data, the quality is going to degrade over time. The best way to improve the quality of your data is to make decisions on it." - Dr. Joseph Cazier

  • "If you are a smaller to medium-sized organization that can adjust based on AI findings quicker than a large organization, you have a potential to have some advantage." - Dr. Joseph Cazier

About the speaker

Dr. Joseph Cazier

Arizona State University

 is a little camera shy

Dr. Joseph is Clinical Professor and Associate Director at the Centre for AI and Data at Arizona State University

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