While the technology isn’t new, it has evolved, and the use cases reflect that long progression. We move forward our predictions into 2019-2020 trending in practical use cases for AI and machine learning in today’s organizations.
- Data security (28%):These use cases include risk identification, fraud and intrusion early detection, operation improvement, corrective and prescriptive action. Used in technology business as well as industrial.
- Real time analytics (24%): AI and machine learning can use real-time feeds’ analytics to find fraudulent transactions, product offers, dynamic pricing, dynamic campaigning and build dynamic behavioral segmentations. There are several tools in analytics, bot and virtual agents
- Personalized data visualizations and dashboards (24%): The tech can be used to identify irregularities in data, measure variances, compare years of sales performance, support predictive analytics, and suggest improvements for performance and KPIs.
- Data integration, consolidation, preparation, management and governance (23%): AI and machine learning is vital for understanding the details of an organization’s data, also cross-match with public aggregated data, access to mass IoT feeds that enrich decisions and train AI agents.
- Sales/revenue forecasting (23%): These use cases include accurate sales forecasting, enhanced business control, and assistance in year-over-year growth with sustainable growth into supply chain of business cycle.
- Personal Safety & security (20%): The tech is used for home surveillance, access to controls for events, personal liveness with bio deep presence, contextual detection, military defense and weaponization offensive sides.
The famous knowledge that AI can be misused and mastering AI, will be the next challenge that regulations are very late, they just start with baseline of data privacy and protection, just the beginning of a long way to go. Whoever in the digital space, like it or not, AI is here to stay. to be weaponized. to be continued…
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