5 days agoMember-onlyYour first 90 days as CTO or VP of EngineeringWhenever I transition to a new opportunity, I think about how to start well. How can I ramp up as effectively as possible? How do I balance the urge to “show value” early with making the right decisions? The canonical book on starting a new role is The First 90…Engineering Mangement16 min readEngineering Mangement16 min read
Nov 21Knowledge Graphs help mitigate increasing supply chain complexityTo be future-proof in the new average volatility, supply chains need to address greater complexity quicker than ever. Technology is a critical enabler in solving this challenge. However, companies must select technology solutions that enable them to make faster decisions and break down silos, yet still be flexible enough to…Knowledge6 min readKnowledge6 min read
Nov 21In-depth Guide to Knowledge GraphWhat is a knowledge graph? Figure 1. A simple knowledge graph representation Source: Wikipedia A knowledge graph is a structured representation of information and knowledge in the form of a graph. It consists of nodes (real world entities or concepts) connected by edges (relationships or associations). …Knowledge Graph7 min readKnowledge Graph7 min read
Nov 7Data Mesh vs Data Fabric: Complete guideData mesh emphasizes data decentralization, autonomy, and productization. In contrast, the data fabric architecture advocates centralization and unified data access. Both are valuable approaches to democratizing data and insights, but they differ in their underlying philosophy and architecture. Table of contents Is data fabric the same as data mesh? Let’s explore Key benefits…Data12 min readData12 min read
Nov 7Best Machine Learning Model Management ToolsWorking with Machine Learning models requires a different set of organizational capabilities as opposed to building software. These new sets of capabilities are driven by MLOps — which is further divided into different ML model processes, one of which is Model Management. Machine Learning model management is a class of…Machine Learning19 min readMachine Learning19 min read
Nov 7Introduction to MLOpsAs machine learning and AI propagate in software products and services, we must establish best practices and tools to test, deploy, manage, and monitor ML models in real-world production. In short, with MLOps we strive to avoid “technical debt” in machine learning applications. SIG MLOps defines “an optimal MLOps experience…Mlops18 min readMlops18 min read
Nov 7Complete MLOps GuideMLOps Definition MLOps — the term itself derived from machine learning or ML and operations or Ops — is a set of management practices for the deep learning or production ML lifecycle. These include practices from ML and DevOps alongside data engineering processes designed to efficiently and reliably deploy ML models in…Mlops26 min readMlops26 min read
Nov 7DATA MESH ARCHITECTUREWhy You May Need a Data Mesh Many organizations have invested in a central data lake and a data team with the expectation to drive their business based on data. However, after a few initial quick wins, they notice that the central data team often becomes a bottleneck. The team cannot handle all the analytical questions of…Data14 min readData14 min read
Nov 7The 10 Best Data Pipeline Tools In 2023What Is a Data Pipeline? A data pipeline is a series of steps and processes for moving, transforming, and processing data from one system to another. It ensures data availability, accuracy, and accessibility for analytics and decision-making. …Data7 min readData7 min read
Nov 7Member-onlyData science tools to consider using in 2023The increasing volume and complexity of enterprise data, and its central role in decision-making and strategic planning are driving organizations to invest in the people, processes and technologies they need to gain valuable business insights from their data assets. …Data Science15 min readData Science15 min read
