Just a few days ago, January 28, we celebrated Data Protection Day, an international event aimed at promoting data privacy and security. In line with… Read More »Ensuring Data Security in Realtime Operating System (RTOS) Devices
Generative AI is suddenly everywhere. Because of this, the future of AI looks very bright indeed. There are many opportunities for generative AI to impact life… Read More »Ten Productivity Hacks using ChaptGPT Generative AI Prompts
In a recent article on Autonomous Intelligent Systems (AIS) [1], Ajit Joakar described various features and characteristics of such systems, including associated technologies and research areas,… Read More »Five Principles of Safe Driving in AIS (Autonomous Intelligent Systems)
As Analytics becoming more and more pervasive – acting as the sounding board for almost every strategic and operational decision – it is imperative that… Read More »Creating Analytics Tool For A Business User
Data Science is the term used to define the deep knowledge of how the flow of information of large amounts of data takes place in… Read More »7 Best Data Science Courses in 2023
The possibility to render historical data into comprehensive patterns has added soundness to many areas, and when we consider trading, it has left a giant… Read More »How to Explore Historical Data Patterns with Machine Learning
A recent HBR article, “Why Do Chief Data Officers Have Such Short Tenures?” by Thomas Davenport, Randy Bean, and Josh King, highlighted the Chief Data Officer’s (CDO) “Data-to-Business Innovation” challenge. The main charter for the CDO is to accelerate the Data-to-Business Innovation flywheel; to guide the business in becoming more effective at leveraging data and analytics to optimize its key business and operational use cases.
I received outstanding feedback from many folks in updating the Data Product Development canvas including Jon Cooke, Harsha Srivatsa, Craig (Doc) Savage, Melissa Perry, Raj… Read More »Data Subassemblies and Data Products Part 3 – Data Product Dev Canvas
A Business Discipline consists of systematic research, observation, measurement, and experimentation resulting in the assimilation of learnings into laws, theorems, concepts, principles, practices, frameworks, and formulas to enable the consistent application and ongoing enhancements from the real-world application of that discipline.
In an era where the landscape of business is evolving and changing at a rapid pace, data collection & analysis often operate as pivotal factors… Read More »Top 10 Future Data Analytics Trends in 2023
