Book Bits: 29 August 2026

TutoSartup excerpt from this article:
By purchasing books through this site, you provide support for The Capital Spectator’s free content... Press) Why do smart, capable individuals and teams so often make poor decisions? Running Against the Herd offers new answers to this question by blending insights from behavioral economics with hard-earned lessons from a twenty-five-year investing career... It’s when buyers lack information,...

Batch write and discover records in Amazon SageMaker Feature Store

TutoSartup excerpt from this article:
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models... It provides low-latency online serving for real-time inference, an offline store for historical retention and training feature data, and supports both streaming and batch ingestion patterns... First, teams running high-throughput feature pipelines mus...

Extend your data perimeter to the AWS Management Console with Private Access

TutoSartup excerpt from this article:
Until now, customers could restrict AWS Management Console access to authorized AWS accounts and corporate networks, but the console itself required internet connectivity... Organizations in regulated industries that restrict workloads to isolated network environments can now route all traffic for supported service consoles—including authentication flows, static assets (JavaScript, CSS, images)...

How Decathlon runs demand forecasting at scale with Chronos-2

TutoSartup excerpt from this article:
Testing across 25,000 products and 101 cutoffs also revealed that Chronos-2’s straightforward fine-tuning with AutoGluon was a decisive advantage, turning a strong zero-shot model into the clear leader... The combination of a strong pre-trained foundation with domain adaptation is the winning formula... The company relies on accurate demand forecasting at scale to support the availability of th...

Spreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Components

TutoSartup excerpt from this article:
For Salesforce, the ICs delivered an 8x reduction in infrastructure costs by co-hosting multiple models on shared GPUs... Even with a multi-AZ endpoint, this per-operation view means copies of a specific model can end up unevenly distributed across AZs, creating potential single points of failure: Instance-level failure: A single instance crash takes down all copies of a model... AZ-level ...

Foreign Bonds Take the Lead Over US Fixed Income in 2026

TutoSartup excerpt from this article:
Diversifying into foreign bond markets has been a win for US investors this year, based on a review of a set of ETFs through yesterday’s close (Aug...Tied for first place in 2026: high‑yield bonds issued in emerging markets (HYEM) and foreign inflation‑linked government bonds (WIP), each up 5... But here, too, the foreign equivalent (WIP) is outperforming the US counterpart (TIP) by a ...

Introducing India cross-Region inference for OpenAI GPT-5.6 models on Amazon Bedrock

TutoSartup excerpt from this article:
6 models, Terra and Luna, in India, with India geographic cross-Region inference... If you have local data processing requirements in India, including in financial services, healthcare, and the public sector, you can now use these OpenAI models at scale... Both models offer a 1-million-token context window, accept text and image input, and produce text output... For the most current information a...