Tue.Mar 25, 2025

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Can AI be deployed in Critical Processes? Addressing the Key Challenges

DareData

Youve seen it before: a company starts deploying AI but struggles to move beyond the most high-level use cases. Yet, current AI technology has the potential to power near-fully automated business workflowsso whats missing? The challenge lies in how you manage the error. In critical business processes, AI errors can be extremely costly and deploying these systems becomes far more complex.

Process 52
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Data contracts and Bitol project

Waitingforcode

Data contracts was a hot topic in the data space before LLMs and GenAI came out. They promised a better world with less communication issues between teams, leading to more reliable and trustworthy data. Unfortunately, the promise has been too hard to put into practice. Has been, or should I write "was"?

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TAO: Using test-time compute to train efficient LLMs without labeled data

databricks

Large language models are challenging to adapt to new enterprise tasks. Prompting is error-prone and achieves limited quality gains, while fine-tuning requires large amounts of.

Data 128
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Land Your Dream Machine Learning Job in 2025

KDnuggets

In this article, I will go through 5 pointers on how to help you secure your dream job.

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The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

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Power of Compounding on Top of a Unified Data Platform - Accelerating Innovation in Cloud Security

databricks

Prisma Cloud is the leading Cloud Security platform that provides comprehensive code-to-cloud visibility into your risks and incidents, offering key remediation capabilities to manage and.

Cloud 54
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10 Pandas One-Liners for Data Cleaning

KDnuggets

Want to make data cleaning more enjoyable? These pandas one-liners for data cleaning will help you get more done with less!

Data 103

More Trending

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Processing a Directory of CSVs Too Big for Memory with Dask

KDnuggets

Learn how to process the big data in the CSV format.

Process 67
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Robinhood Markets Welcomes John Hegeman to its Board of Directors

Robinhood

Hegeman joins the Robinhood Board, bringing extensive expertise in product development and digital advertising Were excited to announce John Hegeman has joined Robinhood Markets Board of Directors. John has strong experience driving innovation and growth across platforms and brings valuable perspectives as we expand our platform for millions of users, said Vlad Tenev, Chairman and Chief Executive Officer of Robinhood. “Technology has the power to transform industries and create new opportu

IT 93
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Artificial General Intelligence (AGI)

WeCloudData

Imagine waking up and discovering that your personal AI assistant has seamlessly optimized your day. It has prepared a personalized meal plan based on your dietary needs and available ingredients, adjusted your commute while considering real-time data to suggest the fastest route, organized a family event, and even started teaching you a new skill, like […] The post Artificial General Intelligence (AGI) appeared first on WeCloudData.

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Building for Scale: AWS’s Marc Brooker on Distributed SQL

Striim

Get More Insights In Your Inbox In this episode of Whats New in Data, AWS VP and Distinguished Engineer Marc Brooker joins us to break down DSQL, Amazons latest innovation in serverless, distributed databases. We discuss how DSQL balances consistency, availability, and scalabilitywithout the headaches of traditional relational databases. Tune in to hear how this new approach simplifies architecture, eliminates operational pain points, and sets a new standard for high-performance cloud databases.

SQL 52
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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Protect Hackable Data, Protect Revenue: The Business Case for AI-Driven Sensitive Data Security

Striim

Organizations face a vast challenge: To protect sensitive data from breaches, cyber threats, and compliance failures. With increasing regulatory pressure and ever-evolving cyberattacks, securing hackable data isnt about just mitigating riskits integral to protect not only trust, but revenue. The great news is that we dont have to rely on yesterdays tools anymore.