Rytis Ulys, Analytics Team Lead at Oxylabs, delves into the evolving landscape of data analytics, highlighting the transformative impact of Generative AI and Machine Learning. He identifies data democratisation as a key trend, with AI tools enabling non-specialists to engage in data analysis. However, Ulys cautions against over-reliance on these tools due to their potential inaccuracies. He envisions a future where integrated AI systems consolidate various business analytics functions, enhancing efficiency and data access. Ulys differentiates between Generative AI and traditional AI, noting that while the former offers innovative capabilities, substantial advancements require redefining AI’s core concepts of intelligence and reasoning. He underscores the necessity of businesses adopting data-driven strategies to remain competitive, advocating for tailored approaches to harness Big Data. Ulys also predicts advancements in data visualisation, making insights more accessible across departments. Lastly, he stresses the importance of robust data privacy and security measures, particularly with the advent of complex data collection techniques, and outlines strategies for fostering a culture of data-driven decision-making within organisations.
Future Trends in Data Analytics – Generative AI and Machine Learning
Rytis Ulys discusses the transformative impact of Generative AI on data analytics.
1–2 minutes
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