Tue.Feb 11, 2025

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Amazon Q Business simplifies integration of enterprise knowledge bases at scale

Flipboard

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Amazon Q Business , a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprises systems. Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management.

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Access previous versions of government websites with GovWayback

FlowingData

You can use the Internet Archive to access historical versions, but GovWayback makes it even more straightforward : GovWayback is a simple tool to quickly access archived versions of government websites from before January 20, 2025 – just add “wayback.com” after “ gov” in any government URL. GovWayback automatically redirects you to that page’s archived version from the Internet Archive.

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Preparing for AI

Flipboard

Submit a proposal for a talk at our new virtual conference, Coding with AI: The End of Software Development as We Know It.Proposals must be submitted by March 5; the conference will take place April 24, 2025, from 11AM to 3PM EDT. When tools like GitHub Copilot first appeared, it was received wisdom that AI would make programming easier. It would be a boon to new programmers at the start of their careers, just learning a few new programming languages.

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Building an AI-Powered Learning Assistant with CrewAI

Analytics Vidhya

With the rapid advancements in AI, automating educational content creation has become more accessible and efficient. CrewAI is a powerful framework that enables developers to build AI-driven agents capable of handling structured workflows. In this guide, we demonstrate how to integrate CrewAI with OpenAIs GPT models and Serper API to create an intelligent learning assistant. […] The post Building an AI-Powered Learning Assistant with CrewAI appeared first on Analytics Vidhya.

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Precision in Motion: Why Process Optimization Is the Future of Manufacturing

Speaker: Jason Chester, Director, Product Management

In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.

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Faster distributed graph neural network training with GraphStorm v0.4

AWS Machine Learning Blog

GraphStorm is a low-code enterprise graph machine learning (ML) framework that provides ML practitioners a simple way of building, training, and deploying graph ML solutions on industry-scale graph data. Although GraphStorm can run efficiently on single instances for small graphs, it truly shines when scaling to enterprise-level graphs in distributed mode using a cluster of Amazon Elastic Compute Cloud (Amazon EC2) instances or Amazon SageMaker.

AWS 108
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10 Amazing Video Generation Tools You Need to Check Out Today!

Analytics Vidhya

AI-driven video generation is evolving at an unprecedented pace, with new models pushing the boundaries of creativity and realism. Notably, Chinese AI models are now taking the lead, showcasing remarkable advancements in text-to-video and image-to-video generation. From Kling AIs high-quality, lip-synced videos to Pikadditions and advanced motion control in Pika 2.1, these models are redefining […] The post 10 Amazing Video Generation Tools You Need to Check Out Today!

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Building a RAG System for AI Reasoning with DeepSeek R1 Distilled Model

Analytics Vidhya

DeepSeek R1, released in January 2025 by Chinese AI startup DeepSeek, is making waves in the AI industry as an open-source language model that rivals some of the most advanced models like OpenAI’s o1.DeepSeek-R1 distinguishes itself through its mixture of experts (MoE) architecture, reinforcement learning techniques, and focus on reasoning capabilities, enabling it to perform […] The post Building a RAG System for AI Reasoning with DeepSeek R1 Distilled Model appeared first on Analyt

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LLM performance scores are inflated: A new method shows the truth

Dataconomy

As large language models (LLMs) become increasingly sophisticated, ensuring fair and unbiased evaluation has become a critical challenge. Existing evaluation protocols often suffer from benchmark contamination , where models are trained on datasets that include portions of the test benchmarks, leading to artificially inflated results. A recent approach known as Agents-as-an-Evaluator attempts to address this issue by generating new test questions using AI agents.

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Agri Bot: A Multilingual AI Agent for Farmers Using LangChain

Analytics Vidhya

In a recent hackathon, I developed Agri Bot, an AI-powered chatbot designed to assist farmers and agricultural enthusiasts by providing accurate and multilingual farming-related information. This article will walk you through the features, architecture, and code behind Agri Bot, showcasing how it leverages advanced technologies to create a user-friendly experience.

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AI strategy development: Key steps to transform your business

Dataconomy

Artificial intelligence (AI) has rapidly evolved from a futuristic concept to a practical tool that transforms industries. Businesses are now leveraging AI to automate processes, optimize decision-making, and create personalized customer experiences. Yet, simply adopting AI is not enough to succeed. To harness the full potential of AI, companies need a well-structured strategy aligned with their business goals.

AI 113
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Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

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Multi-Agent LLM Workflow with LlamaIndex for Research & Writing

Analytics Vidhya

Large Language Model agents are powerful tools for automating tasks like search, content generation, and quality review. However, a single agent often cant do everything efficiently, especially when you need to integrate external resources (like web searches) and multiple specialized steps (e.g., drafting vs. reviewing). Multi-agent workflows allow you to split these tasks among different […] The post Multi-Agent LLM Workflow with LlamaIndex for Research & Writing appeared first on Ana

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Study Finds That People Who Entrust Tasks to AI Are Losing Critical Thinking Skills

Flipboard

Brain Power Trusting artificial intelligence over the real thing seems, per a new study, to be atrophying folks' critical thinking skills. As flagged by the folks at 404 Media , new research from Carnegie Mellon and Microsoft yes, the same company that invested nearly $14 billion into OpenAI and is essentially subsidizing the ChatGPT maker suggests that the more people use AI, to less critical thinking they do.

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New trend: Why are people wearing Apple Watch on their ankles?

Dataconomy

The latest trend on TikTok has users wearing their Apple Watches on their ankles instead of their wrists. Some claim that the watch provides more accurate step counting on the ankle, while others note limitations in heart rate tracking and other features. Can you wear an Apple Watch on your ankle? Yes, you can wear an Apple Watch on your ankle, but Apple does not officially recommend it.

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AI for Everyone: Conversational AI Explained

Towards AI

Last Updated on February 11, 2025 by Editorial Team Author(s): Sophia Banton Originally published on Towards AI. Whats the difference between a calculator and ChatGPT? One takes commands, the other talks back. The calculator symbolizes our early relationship with digital technology accurate but rigid. ChatGPT and its AI siblings represent our present and our future easy to use, interactive, and human-like when they talk to us.

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Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

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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Carta Healthcare survey: AI excites data abstractors but most lack access

Dataconomy

A survey conducted by Carta Healthcare found that while the majority of clinical data abstractors believe artificial intelligence (AI) could improve their workflow, most do not have access to AI-powered tools in their workplace. The findings highlight a gap between AIs perceived benefits and its availability within healthcare systems. AI could reduce workload but access remains limited The survey, conducted nationally in November 2024, revealed that 85% of clinical data abstractors believe AI co

AI 113
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TAI #139: LLM Adoption; Anthropic Measures Use Cases. OpenAI API Traffic up 7x in 2024

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, Google DeepMind expanded access to Gemini 2.0, OpenAI increased transparency in ChatGPTs reasoning and thinking steps, and Mistral launched its rapid AI assistant app. OpenAI was also subject to a surprise $97bn hostile takeover offer from Elon Musk to acquire OpenAIs assets from its parent Charity (competing with Sam Altmans own proposal to acquire the charitys assets).

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Invoca expands AI-driven marketing tool to link online ads with offline revenue

Dataconomy

Invoca has introduced new enhancements to Signal AI Studio, its no-code AI training tool designed to help marketers connect search and digital advertising with offline conversions. The platform enables businesses to measure how phone calls from online ads translate into sales, allowing for more precise marketing optimizations. Signal AI Studio helps brands analyze phone leads and conversion outcomes by using AI-powered signals to detect caller intent and sales conversions.

AI 103
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Meta SAM 2.1 is now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

This blog post is co-written with George Orlin from Meta. Today, we are excited to announce that Metas Segment Anything Model (SAM) 2.1 vision segmentation model is publicly available through Amazon SageMaker JumpStart to deploy and run inference. Meta SAM 2.1 provides state-of-the-art video and image segmentation capabilities in a single model. This cutting-edge model supports long-context processing, complex segmentation scenarios, and fine-grained analysis, making it ideal for automating proc

AWS 81
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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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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AI alignment

Dataconomy

AI alignment plays a crucial role in the development of artificial intelligence by ensuring that AI systems operate in ways that are beneficial, predictable, and aligned with human values. As AI capabilities continue to advance, concerns about its potential risks and unintended consequences have grown. Alignment research seeks to bridge the gap between what AI is designed to do and how it actually behaves, addressing challenges such as unintended goal formation, power-seeking tendencies, and iss

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Building a RAG-Based Research Assistant Using o3-mini and CrewAI

Analytics Vidhya

OpenAIs latest model, o3-mini, is revolutionizing coding tasks with its advanced reasoning, problem-solving, and code generation capabilities. It efficiently handles complex queries and integrates structured data, setting a new standard in AI applications. This article explores using o3-mini and CrewAI to build a Retrieval-Augmented Generation (RAG) research assistant agent that retrieves information from multiple PDFs […] The post Building a RAG-Based Research Assistant Using o3-mini and

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EU launches €200 billion AI investment plan to build AI Gigafactories

Dataconomy

The European Union is seeking private sector investment to boost computing capacity for training large AI models, as articulated by EU President Ursula von der Leyen at the AI Action Summit in Paris. EU seeks private investment for AI Gigafactories In her speech , von der Leyen emphasized the importance of providing regional developers with access to robust infrastructure necessary for scaling innovations in AI.

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How Siro reduced customer complaints and support tickets by 90% with AssemblyAI

AssemblyAI

0:00 / 2:56 1× AI-powered coaching platform for field sales, Siro , services customers in industries that send sales representatives on-site to sell or perform a service, such as HVAC and home improvement. This traditional selling approach can be a big problem, Siro co-founder and CEO Jake Cronin explains, because many of the “salespeople aren’t getting proper coaching.

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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

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vcita launches AI-powered scheduling tool to help SMBs reduce calendar gaps

Dataconomy

vcita has introduced an AI-driven scheduling tool designed to help small and medium-sized businesses (SMBs) optimize their calendars, reduce last-minute cancellations, and fill open booking slots. The tool, powered by Apptor, analyzes scheduling patterns and client behavior to recommend relevant customers for available appointments, allowing businesses to maximize revenue potential.

AI 113
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Mistral AI Plans Multi-Billion-Euro Data Center in France

Analytics Vidhya

France is making big moves in the AI world. After Mistral AI launched Le Chat to take on OpenAI and DeepSeek models, the country is now stepping into the data center arena. This puts France in direct competition with Meta’s massive data center project and OpenAI’s Stargate project. This shows how serious France is about […] The post Mistral AI Plans Multi-Billion-Euro Data Center in France appeared first on Analytics Vidhya.

AI 137
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AI digital twins: The next big shift in brand strategy and customer relations

Dataconomy

Artificial Intelligence (AI) innovations are being rolled out faster than most of us can keep up. Just two years ago, ChatGPT made its official debut; fast forward to today, AI applications have evolved beyond the generative scope to more business functions, including brand strategy and customer relations. In this new era of adoption, were seeing the integration of more advanced AI-powered technologies which are being designed as AI-driven avatars or digital twins.

AI 113
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Falcon 3 models now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

Today, we are excited to announce that the Falcon 3 family of models from TII are available in Amazon SageMaker JumpStart. In this post, we explore how to deploy this model efficiently on Amazon SageMaker AI. Overview of the Falcon 3 family of models The Falcon 3 family, developed by Technology Innovation Institute (TII) in Abu Dhabi, represents a significant advancement in open source language models.

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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.

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OpenAI is building its own AI chip to reduce reliance on Nvidia

Dataconomy

OpenAI is nearing completion of its first in-house AI chip, designed to reduce reliance on Nvidia, and is set to send the finalized design to Taiwan Semiconductor Manufacturing Company (TSMC) for production. The report comes from Reuters , which indicated that testing could occur ahead of mass production, targeted for 2026. OpenAI nears completion of own chip design for production In October 2024, Fortune reported that OpenAI is collaborating with Broadcom to create its own chip.

AI 121
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Building a virtual meteorologist using Amazon Bedrock Agents

AWS Machine Learning Blog

The integration of generative AI capabilities is driving transformative changes across many industries. Although weather information is accessible through multiple channels, businesses that heavily rely on meteorological data require robust and scalable solutions to effectively manage and use these critical insights and reduce manual processes. This solution demonstrates how to create an AI-powered virtual meteorologist that can answer complex weather-related queries in natural language.

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AI winter

Dataconomy

AI winter is a concept that has shaped the evolution of artificial intelligence, influencing funding decisions, research priorities, and public perception. Throughout AI history, periods of optimism and breakthroughs have often been followed by downturns marked by skepticism and reduced investment. These cycles reveal the challenges of sustaining AI progress and highlight the fine line between technological promise and practical limitations.

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SAS Innovate 2025: Big ideas, big names, unforgettable experiences

SAS Software

Lets talk about the must-attend event of the year: SAS Innovate 2025. Its happening May 6-9 in Orlando, Florida and its not your average tech conference. Think groundbreaking innovation meets star-studded entertainment. Plus, a little nostalgia to keep things fun. Where else can you hear industry leaders lay out the [.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri