The Business Topics rubric covers deep, specialized knowledge of data science.
Across the tech sector, the term ‘AI agent’ has become Silicon Valley’s latest Rorschach test—revealing more about the speaker’s worldview than any shared technical definition.… Read More »The rise of accountable AI agents: How knowledge graphs solve the autonomy problem
Introduction Artificial intelligence (AI) and machine learning (ML) systems are becoming increasingly integral to decision-making processes across various industries, including healthcare, finance, education, law enforcement,… Read More »Ethics-driven model auditing and bias mitigation
Artificial intelligence (AI) makes security cameras more versatile and useful. It can recognize suspicious behavior in real time, monitor video feeds to mitigate labor shortages… Read More »5 challenges in implementing AI in video surveillance
Discover the hidden price of not being AI-ready. Learn how enterprise legacy data warehouses accumulate technical debt, and calculate the true Total Cost of Inaction.
Interview with Greg Hutchins of Quality Plus Engineering (Q+E) In our latest episode of the AI Think Tank Podcast, I had the privilege of sitting… Read More »AI Governance: ISO 42001 and NIST AI RMF
Intuition alone is no longer enough for effective leadership in the modern business world. Business leaders increasingly rely on data to guide strategic decisions. Research… Read More »How business leaders are using AI to make data-driven decisions
Every data engineering team operates on a set of accepted principles, a playbook of “best practices” intentionally designed to ensure scalability, governance, and performance.
Agentic AI systems are designed to adapt to new situations without requiring constant human intervention. These systems can provide tremendous benefits within many industries such… Read More »How graph thinking empowers agentic AI
Discover the hidden price of not being AI-ready. Learn how enterprise legacy data warehouses accumulate technical debt, and calculate the true Total Cost of Inaction.
Interview with Greg Hutchins of Quality Plus Engineering (Q+E) In our latest episode of the AI Think Tank Podcast, I had the privilege of sitting… Read More »AI Governance: ISO 42001 and NIST AI RMF
Welcome to the series of articles on the secrets of time series modeling. Today’s edition features the nested cross-validation — a lesser-known technique that mitigates some of… Read More »Secrets of time series modeling: Nested cross-validation
Interview with Greg Hutchins of Quality Plus Engineering (Q+E) In our latest episode of the AI Think Tank Podcast, I had the privilege of sitting… Read More »AI Governance: ISO 42001 and NIST AI RMF
Interview with Bhupinder Bhullar In a world increasingly dominated by AI, massive data creation, and energy-hungry compute infrastructure, the question isn’t just how to store… Read More »Swiss Vault is bringing hyperscaler power to everyone
Since attending the RSA Convention 2025 in San Francisco, I’ve had much more to consider regarding the sanctity of our data and identity. The cybersecurity… Read More »Bridging the digital defense gap: Why cybersecurity education matters more than ever
Discover the hidden price of not being AI-ready. Learn how enterprise legacy data warehouses accumulate technical debt, and calculate the true Total Cost of Inaction.
Interview with Greg Hutchins of Quality Plus Engineering (Q+E) In our latest episode of the AI Think Tank Podcast, I had the privilege of sitting… Read More »AI Governance: ISO 42001 and NIST AI RMF
Welcome to the series of articles on the secrets of time series modeling. Today’s edition features the nested cross-validation — a lesser-known technique that mitigates some of… Read More »Secrets of time series modeling: Nested cross-validation
Every data engineering team operates on a set of accepted principles, a playbook of “best practices” intentionally designed to ensure scalability, governance, and performance.
Across the tech sector, the term ‘AI agent’ has become Silicon Valley’s latest Rorschach test—revealing more about the speaker’s worldview than any shared technical definition.… Read More »The rise of accountable AI agents: How knowledge graphs solve the autonomy problem
Interview with Greg Hutchins of Quality Plus Engineering (Q+E) In our latest episode of the AI Think Tank Podcast, I had the privilege of sitting… Read More »AI Governance: ISO 42001 and NIST AI RMF
Since attending the RSA Convention 2025 in San Francisco, I’ve had much more to consider regarding the sanctity of our data and identity. The cybersecurity… Read More »Bridging the digital defense gap: Why cybersecurity education matters more than ever
In today’s digital age, having a strong online presence is crucial for small businesses seeking to grow and thrive. One of the most effective ways… Read More »Crafting an effective link-building strategy for small business success
Learn practical tips to organize and manage your content library effectively. From content audits to CMS tools, discover strategies for optimizing, updating, and maintaining your content to improve performance and streamline your workflow.
Interview with Greg Hutchins of Quality Plus Engineering (Q+E) In our latest episode of the AI Think Tank Podcast, I had the privilege of sitting… Read More »AI Governance: ISO 42001 and NIST AI RMF
Interview with Bhupinder Bhullar In a world increasingly dominated by AI, massive data creation, and energy-hungry compute infrastructure, the question isn’t just how to store… Read More »Swiss Vault is bringing hyperscaler power to everyone
Since attending the RSA Convention 2025 in San Francisco, I’ve had much more to consider regarding the sanctity of our data and identity. The cybersecurity… Read More »Bridging the digital defense gap: Why cybersecurity education matters more than ever
Technical debt occurs when best practices are ignored as IT solutions are built. In a survey of 500+ IT pros conducted by CompTIA, approximately three-quarters… Read More »A tech debt fighting champion for developers
Interview w/ Mike Spaeth, VP of United States AI Institute The phrase “AI skills gap” gets thrown around so often that it risks becoming background noise. One… Read More »Closing the AI skills gap
While AI is being adopted across organizations, knowledge gaps still exist in using it mindfully and effectively in everyday tasks. These gaps present both a… Read More »AI skills for the modern workplace: A guide for knowledge workers
Interview with Greg Hutchins of Quality Plus Engineering (Q+E) In our latest episode of the AI Think Tank Podcast, I had the privilege of sitting… Read More »AI Governance: ISO 42001 and NIST AI RMF
AI in Agriculture Precision Farming AI-Powered Agriculture Climate-Resilient Crops
Sustainable Farming Practices AI for Pest Control AI for Soil Analysis Machine Learning in Agriculture Smart Farming Solutions IoT in Agriculture Crop Monitoring with AI
Predictive Analytics in Farming AI for Weather Prediction in Agriculture
AI-Driven Precision Irrigation AI in Fertilization Optimization Sustainable Agriculture Technology Advanced Farming Techniques Agriculture Data Analysis with AI
AI-Powered Smart Irrigation Agricultural Innovation with AI
Digital Twins technologies are virtual replicas of physical assets that help streamline processes or systems that mirror real-time data and operational conditions. They provide solutions… Read More »Digital Twins in manufacturing: Revolutionizing production and maintenance
Discover the hidden price of not being AI-ready. Learn how enterprise legacy data warehouses accumulate technical debt, and calculate the true Total Cost of Inaction.
Interview with Greg Hutchins of Quality Plus Engineering (Q+E) In our latest episode of the AI Think Tank Podcast, I had the privilege of sitting… Read More »AI Governance: ISO 42001 and NIST AI RMF
Technical debt occurs when best practices are ignored as IT solutions are built. In a survey of 500+ IT pros conducted by CompTIA, approximately three-quarters… Read More »A tech debt fighting champion for developers
In the evolving landscape of e-commerce, artificial intelligence (AI) has emerged as a transformative force—reshaping digital shopping experiences through real-time analytics, behavioral modeling, and hyper-personalization.… Read More »How AI is redefining e-commerce experiences through data-driven design
In today’s tech-driven economy, artificial intelligence (AI) and data science ventures are emerging as some of the most promising and transformative startups. They capture the… Read More »How AI and data science startups can leverage venture capital and secondary markets
Interview w/ Sumit Gupta – Business Intelligence Engineer at Notion In our latest episode of the AI Think Tank Podcast, I had the pleasure of sitting… Read More »A/B Testing Pitfalls – Interview w/ Sumit Gupta @ Notion
Interview with Dr. Patricia Beckmann-Wells The latest episode of the AI Think Tank Podcast was one for the books. I had the incredible opportunity to… Read More »Creative applications of AI in cinema
These days, everyone is excited about Metaverse. The hype that Metaverse created over the few years is exceptional. Metaverse will give a whole new gaming… Read More »Metaverse in Gaming: Revolution In Gaming industry With Next-Generation Experience
The metaverse, a term popularised by science fiction, refers to a shared virtual space where users can interact with each other in a virtual environment.… Read More »Metaverse Development: Building the Future of Virtual Reality
Interview with Greg Hutchins of Quality Plus Engineering (Q+E) In our latest episode of the AI Think Tank Podcast, I had the privilege of sitting… Read More »AI Governance: ISO 42001 and NIST AI RMF
Learn practical tips to organize and manage your content library effectively. From content audits to CMS tools, discover strategies for optimizing, updating, and maintaining your content to improve performance and streamline your workflow.
Image by Gerd Altmann from Pixabay In March 2024, dbt Labs, a freemium platform and tools provider focused on helping organizations with their data transformation… Read More »What’s behind the data quality struggle in enterprises?
