Pioneers in AI: Companies like Netflix and Starbucks were leaders in using big data and AI, leveraging these technologies to personalize experiences and optimize operations.
Importance of Big Data: Big data fuels AI by providing the necessary information for machines to learn and perform complex analyses.
Ethics in AI: AI presents serious ethical challenges. Its use must be transparent and consistent with moral values, protecting privacy and human rights.
Evaluation: Before implementing an AI and big data strategy, companies need to assess their capacity.
Strategy: Companies need to ensure they are ready for a data-driven strategy, with access to both structured and unstructured data.
High-Value Areas: Identify the areas where AI and big data can generate the most value.
Data Team: An appropriate data team is essential for implementing an AI strategy.
Awareness of Web3: Business leaders must be aware of the emergence of Web3 and how it will influence strategies.
Asha Saxena is an adjunct professor of health policy and management at Columbia University, where she teaches courses on healthcare consulting, entrepreneurship, big data, and data analytics. Previously, she was the CEO of Aculyst, a healthcare analytics company, and the president and CEO of Future Technologies, an international data management and analytics company.
Subscribe to our newsletter and be the first to receive the latest AI insights and updates.
165 Perry Street, Suite 4C
New York, 10014
USA
Vía de las Dos Castillas, 33
Edificio Ática 7, Planta 3
28224 Pozuelo de Alarcón, Madrid,
Spain
Now, simply by registering, you can have access to unlimited free articles on artificial intelligence.
