Fri.Jan 03, 2025

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AI Agents Applications: What they can and cannot do for a Business?

Analytics Vidhya

AI agents are changing how businesses operate, offering unprecedented opportunities for efficiency, scalability, and innovation. Major AI business organisations like Meta, Google, etc are rapidly implementing these AI agents into their workflows, while emerging players like CrewAI and LangChain are spearheading the agentic AI movement to create robust autonomous systems.

Analytics 169
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10 GitHub Repositories to Master Math

KDnuggets

Learn math through roadmaps, courses, tutorials, Python frameworks for solving equations, guides, exercises, textbooks, and more.

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Local Synthetic Data Generation using LLama 3.2 and Ollama

Analytics Vidhya

You have heard the famous quote “Data is the new Oil” by British mathematician Clive Humby it is the most influential quote that describes the importance of data in the 21st century but, after the explosive development of the Large Language Model and its training what we don’t have right is the data. because the […] The post Local Synthetic Data Generation using LLama 3.2 and Ollama appeared first on Analytics Vidhya.

Modeling 199
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Getting Started with Building RAG Systems Using Haystack

KDnuggets

Retrieval augmented generation (RAG) is altering the way we use large language models, but building these systems can be hectic. In this article, you will learn how to build RAG systems using Haystack.

Modeling 112
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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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Web Scraping with LLMs and ScrapeGraphAI

Analytics Vidhya

Web scraping has become an important tool essential for gathering useful information from the available websites. Of all the tools that are present, ScrapeGraphAI is unique as it can identify graphs and use Artificial Intelligence for web scraping. This article explores ScrapeGraphAI’s features, provides a step-by-step guide for implementation, and addresses common challenges.

Analytics 151
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Ready to transform how your IT organization drives business outcomes with AIOps?

CIO Business Intelligence

Artificial intelligence for IT operations (AIOps) solutions help manage the complexity of IT systems and drive outcomes like increasing system reliability and resilience, improving service uptime, and proactively detecting and/or preventing issues from happening in the first place. According to BMC research in partnership with Forbes Insight , more than 80% of IT leaders trust AI output and see a significant role for AI, including but not limited to generative AI outputs.

IT 104

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Data-Driven Guide to Avoid These 15 Mistakes as an Amazon Seller

Smart Data Collective

Big data has had a huge impact on our lives. It is why the market for big data is currently worth over $327 billion. Some of the businesses that rely most on big data are Amazon sellers. While Amazon itself relies heavily on big data, its merchants can find it especially useful.

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OLMo 2: Fully Open-Source Foundation Models

Analytics Vidhya

OLMo 2 models are Ai2’s fully open source language models. They have a dense autoregressive architectures with optimized trainings, pretraining data mixtures, and advanced instruction tuning techniques. By addressing training stability and improving per-token efficiency, OLMo 2 sets a benchmark in performance and transparency. The introduction of Dolmino Mix 1124, a specialized data mix for […] The post OLMo 2: Fully Open-Source Foundation Models appeared first on Analytics Vidhya.

Modeling 110
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일문일답 | 트랙터 서플라이 CIO 롭 밀스, 디지털 혁신으로 ‘최고성장책임자’가 되다

CIO Business Intelligence

, , . 140 ( 18 7,200 ) . 1938 5 , 49 2,200 . CIO (Tech Whisperers) , , . . . Q: ? A: 3 , . . . . . . . . , , . , . , . . . Q: CEO .

IT 95
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How to Build Trust in Data Analytics Projects

Dataiku

Data quality issues undermine the reliability of analytics projects, posing significant challenges for analytics leaders and IT teams. In a recent Product Days session, Lauren Anderson and Jean-Guillaume Appert explored how Dataikus embedded data quality features can help you build trust in your data projects. Learn how you or your teams can easily identify, and fix issues, all within the same platform that youre building analytics projects.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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“무분별한 실험 시기는 지났다”··· 생성형 AI 실용화가 중심이 될 2025년

CIO Business Intelligence

NTT , 90% AI , . NTT AI AI , IT AI . 50% . 4 IDC 37 AI (PoC) , . , , . PoC . IT 3 1 AI AI . AI . , AI . , . (SkyPhi) CEO AI . , . . , , . .

IT 102