Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...

data engineering

2024 Data Engineering Trends

 Originally published in Kestra, Jan 24, 2024. Doing More with Less The tech industry in 2024 is under pressure to optimize resources. Technology and data leaders are asked to integrate more data to support new AI-driven features while simultaneously being forced to reduce costs and headcount. Judging by the recent layoffs at a.o. Google, Amazon,

Machine Learning Engineers Will Not Exist In 10 Years

 Originally published in Medium, April 28, 2020 The landscape is evolving quickly.  Machine Learning will transition to a commonplace part of every Software Engineer’s toolkit. In every field we get specialized roles in the early days, replaced...

Key Traits that Every Data Scientist Needs

 In the past decade, Big Data solutions have become the most impactful breakthrough in the data science industry. There has never been a better time to pursue a data career to help organizations wade through the Big...