Fri.Mar 07, 2025

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AI-Readiness Starts with Accurate Inventory Data

Retail Insight

Artificial intelligence is revolutionizing grocery retail. From predictive demand forecasting to real-time inventory tracking, AI-powered solutions are helping retailers optimize stock levels, reduce operational waste, and maximize profitability. But even the most advanced AI models are only as good as the inventory data that feeds them. If stock records are inaccurate due to phantom or shadow stock, AI-driven replenishment and demand efforts wont be effective.

Retail 59
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Big Gains with Hugging Face’s smolagents

KDnuggets

Utilize the simple yet advance AI agent framework for your works.

Utilities 125
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Delivering Generative Marketing Content to Customers

databricks

Marketers have long dreamed of one-on-one customer engagement, but crafting the volume of messages required for personalized engagement at that level has been a major.

Retail 71
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What Data Scientists Need to Know About AI Agents and Autonomous Systems

KDnuggets

Explore how AI agents are transforming industries, from chatbots to autonomous vehicles, and learn what data scientists need to know to implement them effectively.

Systems 118
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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Streaming Data Fuels Real-time AI & Analytics: Connect with Confluent Q1 Program Entrants

Confluent

Discover how Amazon Redshift, SAS, and Vectara are using Confluents data streaming platform to power real-time AI and analytics.

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What is Unstructured Data Quality? And How to Keep the Bar High

Monte Carlo

Unstructured data quality measures how well your non-tabular information meets the six critical dimensions of data quality : accuracy, completeness, integrity, validity, timeliness, and uniqueness. Unlike structured data (those nice, clean tables in a database) with built-in validation rules, ensuring these qualities across diverse unstructured formats like emails, PDFs, images, customer support transcripts and about a million other things requires specialized approaches to organization and mana

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Robinhood Presents: The Lost City of Gold

Robinhood

Today, Robinhood announced Robinhood Presents: The Lost City of Gold , a keynote event happening on Wednesday, March 26 live from San Francisco. Hosted by Chairman and CEO Vlad Tenev, Robinhoods second annual Gold keynote event will unearth the past and reveal the future of Robinhood Gold, sharing new products designed to give you access to financial opportunities once thought out of reach.

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Building AI Applications with RAG and Agentic RAG: Webinar Recap and Resources

WeCloudData

In this engaging workshop hosted by WeCloudData, Satyam Mittal, an AI software engineer with expertise in retail and fintech, provided a comprehensive exploration of building AI applications using Retrieval-Augmented Generation (RAG) and agentic RAG. The session blended theoretical foundations with hands-on demonstrations, equipping attendees with practical insights into implementing and optimizing these cutting-edge AI technologies. […] The post Building AI Applications with RAG and Agent

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Imposter Syndrome: A Workplace Responsibility, Not an Individual Burden by Molly Pace

Scott Logic

Wednesday. 9.30am. Youre sitting in a meeting room with your team discussing strategy/plans/challenges (delete as appropriate), and someone asks you directly, Do you have any thoughts or feedback?. Your head is filled with ideas, but instead of voicing them, doubt takes over and the words Nope, all sounds good come out. Imposter syndrome has struck again.

Systems 52
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DeepSeek AI Model Architecture

Edureka

The field of artificial intelligence (AI) is changing quickly, and DeepSeek AI is becoming a strong rival to OpenAI’s ChatGPT and other LLMs. But what makes DeepSeek AI work? How does its structure compare to other AI models? What makes it work well? In this blog, we will explore DeepSeek AI’s architecture, breaking down its neural network structure, training methodology, data handling, and optimization techniques.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.