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By Shamima Sultana on July 29, 2025 in Data Science Image by Editor | ChatGPT # Introduction NotebookLM is a powerful AI tool launched by Google. It is designed to augmentanalytical capabilities through advanced natural language processing and insightful summarizations.
Summary: In 2025, data science evolves with trends like augmentedanalytics, IoT data explosion, advanced machine learning, automation, and explainable AI. Key Takeaways Augmentedanalytics automates insights, making data accessible to non-experts.
Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Businesses harness these innovations for real-time analytics, operational efficiency, and data democratisation, ensuring competitiveness in 2025. billion in 2022, it is projected to surge to USD 279.31
At TC21 I talked about redefining the future of analytics for everyone, everywhere with the data opportunity ahead. In fact, a recent IDC study * reports that more than 64 zettabytes of data were generated in 2020, and global data creation and replication is set to grow by 23% through 2025.
At TC21 I talked about redefining the future of analytics for everyone, everywhere with the data opportunity ahead. In fact, a recent IDC study * reports that more than 64 zettabytes of data were generated in 2020, and global data creation and replication is set to grow by 23% through 2025.
billion by 2025. Prescriptive Analytics. Automation & AugmentedAnalytics. Augmentedanalytics uses artificial intelligence to process data and prepare insights based on them. As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. SAP Lumira.
If your business is struggling to forecast and predict outcomes and results, your management team is probably considering predictive analytics. The technology research firm Gartner states that “by 2025, 50% of data scientist activities will be automated by artificial intelligence, easing the acute talent shortage.”
According to Gartner, although the number of employees that use analytics and business intelligence (ABI) has increased in 87% of surveyed organizations, ABI is still used by only 29% of employees on average. Yet, the low adoption rates of business intelligence (BI) tools present a significant hurdle.
Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmentedanalytics, and automated processes. This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally.
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