Generative AI is a transformative force for technology and society, comparable to the emergence of the public Internet. Market trends and the expectations of senior executives and their boards reflect this significance. If your CEO hasn’t prioritized developing and implementing a generative AI strategy, you likely don’t work in IT.
Generative AI has impressive capabilities in forecasting and intuitive interaction, transforming how we engage with data. Using Machine Learning (ML) and Natural Language Processing (NLP), AI can reveal future trends and find powerful patterns that traditional analytics may miss. However, the lack of transparency in how outcomes are reached raises questions about the integrity and reliability of AI predictions.
Another challenge with Generative AI is hallucination, which can lead to fabricated numbers that pose problems for decision-makers. One way to address this challenge is to combine generative AI with enterprise Business Intelligence (BI) to ensure dependable and consistent results.
Enterprise BI collects and processes structured data to uncover trends in performance, but its complexity and reliance on dashboards can hinder widespread adoption. By combining AI’s forecasting abilities with BI’s analysis and validation, a powerful partnership is created that enhances the data analysis process.
Combining AI and BI requires a pragmatic approach that incorporates ethical data use, algorithmic transparency, and the creation of trust among users to preserve the integrity of the decision-making process.
Technological advancements promise to enhance the value of AI integrated with Enterprise BI, offering deeper insights and more intuitive access to data. This evolving landscape signifies a shift toward a data-informed approach to decisions that are timely and actionable.
By capitalizing on the strengths of AI+BI, businesses can transform data into a strategic asset, driving agility, efficiency, and competitive advantage. As this integration deepens, it paves the way for a new era of intelligence, where speed to insight and action are key for all users across the organization.
About the Author
Saurabh Abhyankar, EVP and Chief Product Officer, MicroStrategy. Saurabh has been innovating in the analytics market for 20 years and holds a number of patents in self-service analytics, the semantic graph, and HyperIntelligence. Since 2016, he has held various product leadership positions at MicroStrategy including SVP of Product Management and EVP of Marketing. Mr. Abhyankar received a B.Sc. in Computer Science from the University of British Columbia.
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