How Predictive Analytics Can Overcome Supply Chain Hurdles
Navigating today’s global supply chain maze comes with a slew of potential disruptions that can boggle the mind.
Predictive analytics is here to help businesses stay ahead of the curve and tackle these unexpected challenges head-on.
Zachary Amos explains that this powerful tool can foresee potential issues and provide solutions before they escalate, ensuring smoother operations.
For instance, predictive analytics can flag potential delays in transportation or identify shortages in supplies. Think of it as a roadmap guiding businesses through a labyrinth of unknowns.
Meanwhile, Alan Morrison talks about making AI networks smarter. According to Morrison, understanding the Network Effect, or Meltcalfe’s Law, is key. This involves leveraging the value of a system as its users increase. It’s a game-changer for technology and social interactions.
Ovais Naseem dives into data governance and its impact on data warehouse performance. Modern businesses rely on data warehouses to manage vast amounts of information, and maintaining high performance is critical. Naseem discusses strategies to optimise this performance.
David Stephen shares insights on new alignment research for AI safety. Introducing the Coalition for Secure AI (CoSAI) highlights the importance of regulating AI technology. This coalition aims to ensure AI advancements don’t compromise safety.
Bill Schmarzo warns about the risks of generative AI (GenAI) model collapse. According to Schmarzo, it’s crucial to avoid ‘Death by Averages’ to ensure the longevity and effectiveness of GenAI.
Edward Nick highlights the intersection of big data, AI, and EPOS in retail. These technological advancements are transforming the retail landscape, offering better insights and intelligence for businesses.
In a world where data and AI dominate, staying informed about these technologies can give businesses the edge they need to thrive.
Source: Datasciencecentral