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How Startups & Enterprises Harness AI-Powered Data Insights To Drive Business Growth
- Big data analytics has emerged as a game-changer across industry segments and organisations of all sizes.
- According to the Data Streaming in APAC report by Confluent, nearly half of Asia Pacific organisations (48%) are actively democratising the use of AI/ML across their operations.
- Speakers underlined the critical importance of real-time data insights and the growing complexity of navigating the information explosion with cloud computing on the rise.
- A well-crafted data strategy roadmap is essential to achieve business goals, and it requires resources to build the data infrastructure and an implementation timeline before optimising data usage for decision-making.
- Access to vast consumer data allows Confluent to extract deeper insights and equip businesses with use cases popping up during the data-to-insights journey.
- Emerging job roles in the data analytics continuum will transform work as we know it, opening many new opportunities.
- Challenges of data analytics lie in monetising data's value from every aspect and poor documentation.
- Startups and enterprises across the country have incorporated AI-powered data analytics into their core strategies for long-term success.
- Harnessing big data and the power of AI will result in improved business models and a fast-evolving industrial landscape.
- Overcoming these challenges requires that we create differentiating rules for human-centric and AI-driven data analysis that is suitable for respective business models.
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