Announcements
- Enterprises today are experiencing rapid growth, citing IT observability as an essential business imperative so companies can properly monitor and manage their complex environments. Tune in to the Pursuing Full-Stack IT Observability summit to learn from leading experts how to establish enterprise observability with the right approach and solutions. Learn about the leading platforms and tools to help companies achieve full-stack observability and keep business environments functioning smoothly.
- Attackers have many opportunities to strike on-site and cloud-based enterprise applications from early in the development process. But many solutions and tools — such as the emerging DevSecOps framework – are available to better secure applications and ensure security is prioritized within DevOps and application security testing tools. Tune into Effective Application Security summit to hear leading experts discuss how to secure applications in your enterprise infrastructure with strategies like DevSecOps along with the right combination of tools and testing.
TLADS and the Socratic Method: Bill Schmarzo’s Excellent Adventure
Frequent Data Science Central contributor Bill Schmarzo has long touted the “Think Like a Data Scientist” methodology for business decisions. Bill notes that when leaders (and employees) “TLADS,” it provides a framework for value-based problem-solving and data-driven decision-making.
By incorporating business context, stakeholder alignment and the practical application of data science techniques, TLADS maximizes the value and relevance of the analysis, Bill says. This is of course beneficial in the context of data science projects, but can also be used for data-driven problem solving, decision making and KPI development.
For this week’s article, Bill takes it a step further and imagines his TLADS methodology mashed up with critical thinking methods developed by Socrates. The Socratic method encourages critical thinking by asking question that challenge assumptions and uncover inconsistencies. As Bill notes in his article, the Socratic Method helps strengthen human skills that might wane as we increasingly use AI in our everyday lives.
Bill’s article makes the case for blending the TLADS method with the Socratic method. Integrating the two methods adds a layer of critical thinking, promotes deeper analysis, and enhances the decision-making process, Bill says, and leads to more informed data-driven decisions. Insightful and thought-provoking questions will become increasingly crucial to LLM development as AI technology continues to advance. Perhaps mashing up modern TLADS ideas with ancient approaches is the way to responsible AI development.
The Editors of Data Science Central
Contact The DSC Team if you are interested in contributing.
DSC Featured Articles
- AI-Assisted Claims Auditing: Uncovering Errors Leading to Boosted Financial Recovery
May 23, 2023
by John Lee - How Tech Vendors Can Embrace the Digital Marketplace Reset – Tips on navigating the digital marketplace-as-a-service landscape
May 23, 2023
by Berkeley PR - LLM results in search – Google search perspectives and generative AI in search
May 23, 2023
by ajitjaokar - Boosting video “surface area” for discoverability with knowledge graphs
May 23, 2023
by Alan Morrison - The Future of Facial Recognition: Promoting Responsible Deployment and Ethical Practices
May 23, 2023
by Rayan Potter - Top 4 Benefits of Modern Data Quality
May 23, 2023
by Vanitha - The Dean Meets Socrates: Mastering the Art of Questioning
May 21, 2023
by Bill Schmarzo - How Blockchain Technology is Transforming the Business
May 18, 2023
by Piyush Jain - How To Create Enterprise Data Warehouse Software
May 18, 2023
by Yuliya Melnik - Getting Started with Apache Flink: First steps to Stateful Stream Processing
May 18, 2023
by Rachel Pedreschi - An Intriguing Job Interview Question for AI/ML Professionals
May 17, 2023
by Vincent Granville - DSC Weekly 16 May 2023 – LLM success depends on quality, transparent data
May 16, 2023
by Scott Thompson