# data-systems

Published articles for data-systems.

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## Devavrat Shah's research and Ikigai Labs use tabular data for real-time forecasting and decision-making

DevFeed: [Devavrat Shah's research and Ikigai Labs use tabular data for real-time forecasting and decision-making](<https://devfeed.tech/articles/helping-ai-models-to-meet-the-real-world-37954.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/helping-ai-models-meet-real-world-0714>)

Author: David Chandler | Laboratory for Information and Decision Systems

Published: 2026-07-14T20:25:00Z

Content type: article

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [decision-making](<https://devfeed.tech/topics/decision-making.md>), [Structured-data](<https://devfeed.tech/topics/structured-data.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>), [data](<https://devfeed.tech/topics/data.md>), [Time Series](<https://devfeed.tech/topics/time-series.md>), [Computer science](<https://devfeed.tech/topics/computer-science.md>), [Electrical engineering and computer science (EECS)](<https://devfeed.tech/topics/electrical-engineering-and-computer-science-eecs.md>), [Temporal data](<https://devfeed.tech/topics/temporal-data.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-and-decision-making](<https://devfeed.tech/tags/ai-and-decision-making.md>), [ai-in-business-planning](<https://devfeed.tech/tags/ai-in-business-planning.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [business-and-management](<https://devfeed.tech/tags/business-and-management.md>), [business-modeling](<https://devfeed.tech/tags/business-modeling.md>), [celonis-context-model](<https://devfeed.tech/tags/celonis-context-model.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [data](<https://devfeed.tech/tags/data.md>), [data-systems](<https://devfeed.tech/tags/data-systems.md>), [decision-making](<https://devfeed.tech/tags/decision-making.md>), [devavrat-shah](<https://devfeed.tech/tags/devavrat-shah.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [faculty](<https://devfeed.tech/tags/faculty.md>), [forecasting](<https://devfeed.tech/tags/forecasting.md>), [idss](<https://devfeed.tech/tags/idss.md>), [ikigailabs](<https://devfeed.tech/tags/ikigailabs.md>), [laboratory-for-information-and-decision-systems-lids](<https://devfeed.tech/tags/laboratory-for-information-and-decision-systems-lids.md>), [mit-eecs](<https://devfeed.tech/tags/mit-eecs.md>), [mit-idss](<https://devfeed.tech/tags/mit-idss.md>), [mit-intellectual-property](<https://devfeed.tech/tags/mit-intellectual-property.md>), [mit-lids](<https://devfeed.tech/tags/mit-lids.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [predictions](<https://devfeed.tech/tags/predictions.md>), [profile](<https://devfeed.tech/tags/profile.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [startups](<https://devfeed.tech/tags/startups.md>), [structured](<https://devfeed.tech/tags/structured.md>), [tabular-data](<https://devfeed.tech/tags/tabular-data.md>), [time-series-data](<https://devfeed.tech/tags/time-series-data.md>)

### AI overview

MIT Professor Devavrat Shah's research led to a foundation model for tabular and time-series enterprise data. Developed with Ikigai Labs, the system continuously tests predictions against real outcomes to support large-scale forecasting and decision-making.

### Source excerpt

Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.

## System Design: Principles for Maintainability, Scalability, and Reliability

DevFeed: [System Design: Principles for Maintainability, Scalability, and Reliability](<https://devfeed.tech/articles/system-design-principles-for-maintainability-scalability-and-reliability-39554.md>)

Original publisher: [Read original article](<https://ankit-rana.com/logs/02-system-design-principles/>)

Author: hello@ankit-rana.com

Published: 2026-03-16T00:00:00Z

Content type: tutorial

Language: en

Sources: [Ankit Rana | Mechanical Sympathy](<https://devfeed.tech/sources/ankit-rana-mechanical-sympathy.md>)

Topics: [Maintainability](<https://devfeed.tech/topics/maintainability.md>), [reliability](<https://devfeed.tech/topics/reliability.md>), [Scalability](<https://devfeed.tech/topics/scalability.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [data](<https://devfeed.tech/topics/data.md>), [Testing](<https://devfeed.tech/topics/testing.md>), [observability](<https://devfeed.tech/topics/observability.md>), [CRUD](<https://devfeed.tech/topics/crud.md>), [Latency](<https://devfeed.tech/topics/latency.md>)

Tags: [architecture](<https://devfeed.tech/tags/architecture.md>), [crud](<https://devfeed.tech/tags/crud.md>), [data-systems](<https://devfeed.tech/tags/data-systems.md>), [debug](<https://devfeed.tech/tags/debug.md>), [latency](<https://devfeed.tech/tags/latency.md>), [maintainability](<https://devfeed.tech/tags/maintainability.md>), [observability](<https://devfeed.tech/tags/observability.md>), [reliability](<https://devfeed.tech/tags/reliability.md>), [scalability](<https://devfeed.tech/tags/scalability.md>), [system-design](<https://devfeed.tech/tags/system-design.md>)

### AI overview

This article presents production system design around reliability, scalability, and maintainability. It discusses data building blocks beyond CRUD, fault containment, isolation, testing, recovery, observability, latency versus response time, and vertical versus horizontal scaling.

### Source excerpt

Reliability, scalability, and maintainability rest on one distinction: a fault is a component-level anomaly, a failure is the system no longer delivering its service. Design to contain faults so they never become failures, and stay precise that latency is waiting time while response time is the full client-visible number.