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April 02.2025
3 Minutes Read

Exploring George Box's Insight: All Models Are Wrong, But Some Are Useful in AI Learning

Graph illustrating regression analysis in AI learning.

Understanding George Box's Wisdom on Model Assumptions

In the realm of statistics and data science, one quote resonates deeply: "All models are wrong, but some are useful." Attributed to the esteemed statistician George Box, this aphorism succinctly captures the essence of how we engage with models in our quest for understanding complex phenomena. However, when looking into the origins of this statement, it becomes clear that there is a rich history woven through Box's work that offers invaluable insights for today's data-driven landscape.

Modeling: A Necessary Imperfection

George Box coined the phrase in his 1976 article, "Science and Statistics," where he articulated the iterative nature of modeling. He suggested that while models can never capture the full reality, they still serve a fundamental role in informing our understanding. Box notes, “Since all models are wrong... the scientist must be alert to what is importantly wrong,” reinforcing the idea that the utility of a model lies not in its correctness, but in its applicability and the insights it yields.

The Duality of Models: Insights vs. Accuracy

The beauty of Box's assertion lies in its duality: all models simplify reality, yet within these simplifications, we can discover trends and make predictions. This is particularly relevant in AI learning. Models in AI often undergo extensive training, and while they aim for accuracy, understanding their limitations allows developers and users to harness their capabilities effectively. For instance, in AI science, algorithms can generate predictions based on datasets, providing insights even if they do not account for every variable or nuance of real-world scenarios.

Applying Box's Insight in Today’s AI and Machine Learning Realm

In the rapidly evolving fields of artificial intelligence and machine learning, the principles that Box outlined are more pertinent than ever. As businesses integrate AI technologies, it is crucial to acknowledge that these systems operate on models that may not always reflect accurate real-world complexities. Box’s perspective encourages practitioners to focus on the question: "How might these models serve useful purposes despite their flaws?" This insight is key as organizations design AI learning paths that guide users in leveraging models for tangible benefits.

Example: The AI Bias Problem

A pertinent illustration of Box's aphorism can be seen in discussions around algorithmic bias. To ensure fairness in AI systems, developers must recognize that the models they create are based on historical data, which may inherently carry biases. Understanding that all models are wrong—in the sense that no model can account for every factor—opens the floor to creative solutions and discussions around bias mitigation strategies. Stakeholders can ensure that models serve their intended purposes, while continuously refining them with new data and insights.

Conclusion: The Pragmatic Approach to Modeling in AI

As we advance towards greater sophistication in AI technology, embracing the notion proposed by Box can enhance our approach to model building. Instead of seeking the elusive 'correct' model, we can focus on developing models that provide valuable approximations of what we seek to understand and predict. This pragmatic approach not only aids in decision-making processes but also cultivates a deeper appreciation for the models we engage with in AI science.

Reflecting on George Box's insights equips us for a future where models will continue to play a critical role in navigating complexities across various domains. Understanding their limitations—yet still actively utilizing them—can lead to substantial advancements in AI learning and broader technological applications.

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07.01.2025

Discover How AI Learning Paths Shape Our Future: Insights from SAS Innovate on Tour

Update Celebrating Innovation: Highlights from the SAS Innovate on Tour The world of technology is experiencing a radical transformation, and SAS Innovate on Tour aims to capture this dynamic shift in data and artificial intelligence (AI). The recently completed first leg of the tour, which spanned several European and Asian cities, showcased not just cutting-edge innovations but the vibrant discussions that surround them. With stops in Frankfurt, London, Madrid, Milan, Seoul, Antwerp, Warsaw, and Paris, the tour illustrates the diverse applications of AI across industries. Unlocking the Future: A Snapshot of AI Trends During the events, various experts shared insights on the upcoming trends in AI, unveiling how organizations are leveraging data for strategic advantages. AI is no longer a buzzword; it's a critical component that shapes business strategies. The attendees were particularly interested in learning about AI learning paths—how professionals can transition their skills to harness the power of AI effectively. Artificial Intelligence in Action: Real-World Applications Each city in the tour presented unique case studies, demonstrating AI's multifaceted roles in sectors ranging from healthcare to finance. For instance, in Milan, the focus was on how AI streamlines operational efficiencies, while in Seoul, discussions revolved around AI's potential in predictive analytics. As organizations worldwide adopt these technologies, learning about AI science becomes imperative for professionals seeking to remain competitive in their fields. A Platform for Networking and Knowledge Sharing The SAS Innovate on Tour serves as a crucial networking platform, allowing professionals from diverse backgrounds to connect and exchange ideas. The atmosphere was charged with enthusiasm, as participants participated in workshops and panel discussions that encouraged collaboration. Such environments foster not only individual learning but also industry-wide innovations. What Lies Ahead: Future Predictions and Insights Looking forward, the impact of AI is only expected to grow. Insights from the tour suggest that we may see increasing regulations and frameworks around AI in the coming years—especially concerning data privacy and ethical considerations. As organizations continue to innovate, professionals must prepare for these changes through ongoing education and involvement in AI learning opportunities. Conclusion: The Importance of Continuing the Journey The first leg of SAS Innovate on Tour has set an exciting precedent for discussions around AI technology. The knowledge gained and connections made will undoubtedly propel businesses and individuals toward a more innovative future. As we await the next leg of the tour, it's crucial for professionals to embrace this technological evolution and actively pursue learning paths in AI. Call to Action: Stay engaged with the latest developments in AI by subscribing to relevant newsletters and participating in technology workshops. Your journey into the world of AI could reshape your career and your organization’s future.

07.01.2025

Exploring the Impact of AI and IoT at the 10th Annual IoT Slam

Update Understanding the Evolution of IoT: A Decade in Review As we gather at the 10th annual IoT Slam, it’s a crucial moment to reflect on a decade of exponential growth in Internet of Things (IoT) technologies. This event, celebrated at the SAS world headquarters, showcases the remarkable trajectory that the IoT narrative has taken—from a budding concept to a transformative force in multiple sectors such as healthcare, transportation, and smart cities. With thought leaders like SAS VP Jason Mann noting the necessity of fast, data-driven decision-making, it's clear that the urgency for innovation has never been more apparent. Innovation and AI: Driving the Future of Transportation One of the most compelling sessions at this year’s Slam focused on the intersection of AI and IoT in transportation. Experts from various backgrounds, including Tyson Echentile and Kelly Wells, engaged in a lively discussion about the promise and challenges of implementing AI to improve traffic management. The panel emphasized the complexity of integrating data from various sources—an issue aptly described as geospatial conflation, which hinders effective traffic management across systems. Remarkably, AI's potential in creating autonomous vehicles could redefine our relationship with transportation, eliminating human errors that often lead to accidents. The Impact of Digital Twins in Urban Planning An exciting innovation discussed at the Slam was the concept of digital twins, which are virtual representations of physical systems. Elizabeth Young highlighted how these tools could revolutionize urban planning by allowing engineers to simulate different traffic scenarios before making costly infrastructure changes. This predictive power not only saves money but also enhances the effectiveness of urban planning strategies. By employing these advanced simulations, cities can prepare for various traffic patterns and emergencies, ensuring a safer and smoother travel experience for residents. Diversity in IoT: Why Inclusion Matters Another pivotal theme was the importance of diverse teams in the development and deployment of IoT solutions. Acknowledging the multifaceted challenges facing the industry, experts agreed that inclusive teams are better equipped to tackle problems creatively. When we bring together professionals from varied backgrounds, experiences, and perspectives, we not only foster innovation but also create solutions that are more aligned with the needs of diverse populations. Future Predictions: What's Next in the World of IoT? As we gaze into the future, it’s clear that the trends emerging from the IoT Slam will shape how we interact with the world around us. The increased integration of AI capabilities into everyday life suggests a shift in how businesses operate and how consumers engage with technology. With AI learning paths becoming more accessible, individuals eager to upskill will find ample opportunities to integrate these new technologies into their professional toolkit. Ultimately, this democratization of knowledge surrounding AI will empower a new generation of innovators. Conclusion: Be a Part of This Evolution As the 10th annual IoT Slam comes to a close, it becomes evident that the dialogue and innovations shared here must resonate beyond this event. The challenges of the present require our immediate attention and action. By embracing AI and IoT technologies, we have the potential to foster safer communities, improve transportation systems, and create inclusive environments. Take the first step by exploring AI learning paths and embracing the possibilities of this rapidly changing landscape.

06.27.2025

Understanding Fraud's Psychological Tactics: Insights from Former Fraudsters in the AI Age

Update The Evolving Threat Landscape of Fraud in the AI Age Fraud and financial scams have become increasingly prominent issues, affecting millions of consumers globally. According to the FBI's Internet Crime Complaint Center, the amount lost to scams soared to a staggering $16.6 billion in 2024, marking a 33% increase from the previous year. The implications of this upsurge are far-reaching and necessitate proactive measures in the digital age. Lessons from Former Fraudsters: Insights from the Top At the recent SAS Innovate conferences, two former fraudsters, Frank Abagnale and Alex Wood, took to the stage to share crucial insights gleaned from their pasts. Both individuals have transformed their lives and now educate businesses on how to defend against the very tactics they once employed. Abagnale, well-known for impersonating various professionals and successfully committing large-scale fraud, emphasized a key perspective: understanding the psychology behind fraudsters is essential for combating fraud effectively. The Psychology Behind Fraud One of the critical lessons shared by Abagnale was that fraud is fundamentally a human problem. He pointed out that the methods employed by fraudsters rely heavily on psychological elements: urgency, authority, and fear are often manipulated to coerce victims into making hasty decisions. With the advancement of AI technologies, such as Generative AI, these psychological tactics have only become more sophisticated, making it imperative for consumers and organizations alike to educate themselves about these risks. Importance of Education in Combating Fraud During his keynote address, Abagnale stressed the three key pillars of protection against fraud: prevention, verification, and response. Education plays a crucial role in this framework. Understanding the tactics employed by fraudsters equips individuals and organizations to develop stronger safeguards and preventative measures. This notion is echoed by the statistics from SAS’ Faces of Fraud study, revealing that consumers expect greater efforts from organizations to protect their data and financial interests. Implications for Businesses and Consumers The landscape of fraud has shifted significantly with the rise of digital platforms and advanced technologies. Today, 90% of consumers believe corporations should do more to shield them from fraudulent actions. This widespread sentiment indicates a significant trust gap; once lost, this trust is challenging to rebuild. Organizations are thus at a pivotal juncture where prioritizing robust defenses against fraud is not only a responsibility but also essential for retaining consumer trust. Future Trends in AI and Fraud Prevention As AI technology continues to evolve, so do the strategies deployed by fraudsters. By fostering conversations around these topics, businesses can remain vigilant and equip themselves with knowledge and tools to counter potential threats more effectively. Continuous investment in AI learning—bolstered by education and awareness—will be paramount in developing superior fraud prevention techniques. Taking Action Against Fraud While technology remains an integral part of fraud prevention, a human-centric approach must not be overlooked. By enhancing their understanding of how fraudsters think and operate, both consumers and organizations can implement more strategic measures to combat fraud. It’s crucial for educational initiatives to prioritize informing populations about financial scams and the tools they can use to avoid falling victim. Closing Thoughts: Empowering Consumers and Organizations The fight against fraud rests on the foundation of knowledge and proactive measures. By following the lessons of those who have walked the path of deception, we can take significant strides toward creating a more secure financial landscape. Organizations, consumers, and technology providers must collaborate in order to combat these sophisticated threats effectively. Now is the time to embrace AI learning paths that enhance our understanding of fraud and its implications. If you are interested in protecting yourself against fraud, take the time to educate yourself about the psychological tactics used by fraudsters and the importance of creating a robust action plan.

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#721","city":"Greenville","state":"SC","zip":"29341","email":"support@divinewebconsultants.com","tos":"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","privacy":"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