AI Augmentation vs. Automation the 2024 Predictions for CFOs on Artificial Intelligence by Tobias Zwingmann
The comprehensive research report, The 2024 Data, Analytics and AI Predictions and Prescriptions for CFOs, offers invaluable insights to CFOs navigating these quickly evolving technologies and disciplines.
Our recent LinkedIn Live event captured the essence of the report. The team of experts who prepared the report, Prashanth H Southekal, PhD, MBA, ICD.D, Tobias Zwingmann, Arun Marar, Ph.D. and Sanjeev Chib, CPA, CA, took turns highlighting their predictions and prescriptions in their area of expertise.
In the clip below Tobias delivers his practical and insightful Predictions and Prescriptions on Artificial Intelligence.
Here’s a glimpse into some of his predictions and prescriptions.
Prediction 1: AI Augmentation Over Automation
Prescription: Use a human-centric approach to AI development, with humans at the center of AI solutions. Find the right balance between AI and human input, avoiding both underutilization and overutilization of AI. He used the example of spell checkers to illustrate the importance of striking a sweet spot for AI involvement in processes, optimizing human critical thinking.
Prediction 2: AI Flexibility will be bolstered by an Open-Source ecosystem
Prescription: Design your systems in a way that facilitates easy switching of AI models, promoting flexibility and avoiding vendor lock-in. Embrace open source tools to help you navigate the evolving AI landscape.
Tobias’s forward-looking insights provide valuable guidance for CFOs preparing to navigate the evolving AI landscape in 2024 and beyond. Watch or listen to his full presentation for more valuable lessons on AI.
Stay tuned for more updates on AI’s impact on finance and business!
Take in the full event here, The 2024 Data, Analytics and AI Predictions and Prescriptions for CFOs
And the predictions and prescriptions from the other experts here,
Prashanth Southekal on Data Management and Data Governance
Arun Marar on Data Science and Data Engineering
Sanjeev Chib on Data Protection and Risks
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