
ML for Stock Prediction: Separating Hype from Reality
Markets are adaptive and noisy; ML's true power lies in understanding risk, not predicting price.

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A startup learned that building great software isn't enough; making it findable is key to growth.

Gubernator offers Kubeflow capabilities like Jupyter, MLflow, and S3 storage via Docker Compose, bypassing Kubernetes complexity.
I&M plans to lower electricity prices for state residents, citing increased revenue from large industrial customers.

Markets are adaptive and noisy; ML's true power lies in understanding risk, not predicting price.

Email provider Fastmail now offers users the option to store all their data within the European Union, addressing growing privacy concerns.

Stop losing reader trust: move content expiration dates from prose to structured data for automated site management.

Algebraic Architecture Theory's new theorem guarantees that high-level code reviews catch every defect, provided certain conditions are met.

New research demonstrates that finding a k-coloring for a graph is significantly easier than determining its chromatic number.

Developers building health apps face challenges beyond raw data: understanding its origin, completeness, and usage rights.

Backstory automated its customer segmentation process, reducing a quarter-long, multi-team effort to a three-day AI-driven exercise.
CEOs report that strong data management and governance are the real drivers of AI ROI, not just model sophistication.

Moving from S3 to Neon's branch-aware object storage is simpler than it sounds, leveraging the S3 API and requiring minimal code changes.

While AI and robotics promise cost savings, the complex, unpredictable nature of healthcare makes the math falter.