Sat.Nov 02, 2024 - Fri.Nov 08, 2024

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Ethical Considerations in AI-Powered Data Archiving for IT Operations

The Data Administration Newsletter

The rapid adoption of artificial intelligence (AI) in data archiving for IT operations has transformed how organizations manage vast amounts of information. However, AI presents many ethical considerations that must be addressed.

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On-Device AI: Making AI Models Deeper Allows Them to Run on Smaller Devices

Dataconomy

On-device AI and running large language models on smaller devices have been one of the key focus points for AI industry leaders over the past few years. This area of research is among the most critical in AI, with the potential to profoundly influence and reshape the role of AI, computers, and mobile devices in everyday life. This research operates behind the scenes, largely invisible to users, yet mirrors the evolution of computers — from machines that once occupied entire rooms and were access

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What is an LLM Bootcamp? What Does Data Science Dojo Offer for Your Success?

Data Science Dojo

Large language models are expected to grow at a CAGR (Compound Annual Growth Rate) of 33.2% by 2030. It is anticipated that by 2025, 30% of new job postings in technology fields will require proficiency in LLM-related skills. As the influence of LLMs continues to grow, it’s crucial for professionals to upskill and stay ahead in their fields. But how can you quickly gain expertise in LLMs while juggling a full-time job?

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How Dataiku and Snowflake Strengthen the Modern Data Stack

phData

The modern data stack is defined by its ability to handle large datasets, support complex analytical workflows, and scale effortlessly as data and business needs grow. It must integrate seamlessly across data technologies in the stack to execute various workflows—all while maintaining a strong focus on performance and governance. Two key technologies that have become foundational for this type of architecture are the Snowflake AI Data Cloud and Dataiku.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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2025 Planning Insights: Data Quality Remains the Top Data Integrity Challenge and Priority

Precisely

Key Takeaways: Data quality is the top challenge impacting data integrity – cited as such by 64% of organizations. Data trust is impacted by data quality issues, with 67% of organizations saying they don’t completely trust their data used for decision-making. Data quality is the top data integrity priority in 2024, cited by 60% of respondents. The 2025 Outlook: Data Integrity Trends and Insights report is here!

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Can CatBoost with Cross-Validation Handle Student Engagement Data with Ease?

Towards AI

Last Updated on November 6, 2024 by Editorial Team Author(s): Talha Nazar Originally published on Towards AI. Understanding student engagement is essential in the digital age of online education, internships, and competitions. But what if we could predict a student’s engagement level before they begin? This story explores CatBoost, a powerful machine-learning algorithm that handles both categorical and numerical data easily.

More Trending

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Want to get ahead in AI as a woman? This new report has lots of advice

Dataconomy

It’s undeniable that it’s a particularly hard time to be a woman in tech. While the mass layoffs experienced in 2023 have steadied somewhat—according to tech layoff tracker Layoffs.fyi , 490 tech companies have made 143,142 workers redundant in 2024 compared to 1,193 tech companies making 264,220 employees redundant in 2023—women are still vastly underrepresented in the sector.

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The Role of AI in Customizing the Driving Experience

insideBIGDATA

In this contributed article, Boaz Mizrachi, Co-Founder and CTO of Tactile Mobility, discusses how AI and machine learning are redefining the driving experience by personalizing every aspect of vehicle interaction, from tailored comfort settings to predictive maintenance. These technologies enable cars to adapt in real time to driver preferences and behaviors, making driving more intuitive, enjoyable, and safe.

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Riverlane Navigates Upstream On Quantum Error Correction

Adrian Bridgwater for Forbes

The use of quantum error correction techniques is supposed to help us get out of the Noisy Intermediate Scale Quantum (NISQ) era.

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Announcing the General Availability of Materialized Views and Streaming Tables for Databricks SQL

databricks

We’re excited to announce that materialized views (MVs) and streaming tables (STs) are now Generally Available in Databricks SQL on AWS and Azure.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Navigating AI Regulation: Balancing Innovation and Protection

KDnuggets

In this article, we will learn how to navigate the fine balance building AI regulation while simultaneously fostering innovation.

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Building a Robust Machine Learning Pipeline: Best Practices and Common Pitfalls

Machine Learning Mastery

In real life, the machine learning model is not a standalone object that only produces a prediction. It is part of an extended system that can only provide values if we manage it together. We need the machine learning (ML) pipeline to operate the model and deliver value.

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Five Ways AI Will Break Software Development

insideBIGDATA

In this contributor, Cory Hymel, VP of Research & Innovation at Crowdbotics, discusses why we need to think bigger about AI's role in software development. The growing capabilities of AI models, particularly large language models, have the potential to fundamentally disrupt the software development lifecycle (SLDC).

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50+ Generative AI Interview Questions

Analytics Vidhya

Generative AI is a newly developed field booming exponentially with job opportunities. Companies are looking for candidates with the necessary technical abilities and real-world experience building AI models. This list of interview questions includes descriptive answer questions, short answer questions, and MCQs that will prepare you well for any generative AI interview.

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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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7 Python Projects to Boost Your Data Science Portfolio

KDnuggets

Enhance your data science portfolio with these seven engaging Python projects that demonstrate essential programming and software engineering skills.

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Natural Language Generation Inside Out: Teaching Machines to Write Like Humans

Machine Learning Mastery

Natural language generation (NLG) is an enthralling area of artificial intelligence (AI) , or more specifically of natural language processing (NLP) , aimed at enabling machines to produce human-like text that drives human-machine communication for problem-solving.

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Season's Speedings: Databricks SQL Delivers 4x Performance Boost Over Two Years

databricks

As the season of giving approaches, we at Databricks have been making our list and checking it twice--but instead of toys and treats.

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Build an AI-Powered Valorant E-sports Manager with AWS Bedrock

Analytics Vidhya

AI is the future and there’s no doubt it will make headway into the entertainment and E-sports industries. Given the extreme competitiveness of E-sports, gamers would love an AI assistant or manager to build the most elite team with maximum edge. Such tools could in theory use vast data and find patterns or even strategies […] The post Build an AI-Powered Valorant E-sports Manager with AWS Bedrock appeared first on Analytics Vidhya.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Mastering f-strings in Python

KDnuggets

Discover how to leverage Python's f-strings (formatted string literals) to write cleaner, more efficient, and more readable code.

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GenAI and the Role of GraphRAG in Expanding LLM Accuracy

insideBIGDATA

In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, discusses RAG techniques, particularly those involving graph-based knowledge representation, can significantly enhance their performance. One such innovative solution is GraphRAG, which combines the power of knowledge graphs with LLMs to boost accuracy and contextual understanding.

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What’s New in AI/BI Dashboards - Fall ‘24

databricks

Introduction Databricks AI/BI Dashboards have made significant strides since we announced their General Availability. Built on Databricks SQL and powered by Data Intelligence.

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Hands-on Guide to Building Multi-Agent Chatbots with Autogen

Analytics Vidhya

Chatbots have evolved from simple question-answer systems to sophisticated, intelligent agents capable of handling complex conversations. As interactions in various fields become more nuanced, the demand for chatbots that can seamlessly manage multiple participants and complex workflows grows. Thanks to frameworks like AutoGen, creating dynamic multi-agent environments is now more accessible.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Learn Python and get Certified as a Data Analyst for Free this Week!

KDnuggets

From the 4th of November to the 10th of November, the entire DataCamp platform is free.

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Unisys AI Report: New Leadership Roles and Tech Innovation on the Rise

insideBIGDATA

Unisys released its latest survey findings, The AI Equation: 2024 AI Business Impact Research, revealing how AI is reshaping industries by creating leadership roles and boosting tech training initiatives.

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What's new with Databricks SQL, October 2024

databricks

We are excited to share the latest features and performance improvements that make Databricks SQL simpler, faster, and more affordable than ever. Databricks.

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Jamba 1.5: Hybrid Mamba-Transformer Model for Advanced NLP

Analytics Vidhya

Jamba 1.5 is an instruction-tuned large language model that comes in two versions: Jamba 1.5 Large with 94 billion active parameters and Jamba 1.5 Mini with 12 billion active parameters. It combines the Mamba Structured State Space Model (SSM) with the traditional Transformer architecture. This model, developed by AI21 Labs, can process a 256K effective […] The post Jamba 1.5: Hybrid Mamba-Transformer Model for Advanced NLP appeared first on Analytics Vidhya.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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5 No-Cost Learning Resources for LLM Agents

KDnuggets

Curious about LLM agents? Here’s a list of free courses, guides, and blogs that make it easy to start learning and stay updated.

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WEKA Introduces New WEKApod Appliances to Accelerate Enterprise AI Deployments

insideBIGDATA

WekaIO (WEKA), the AI-native data platform company, unveiled two new WEKApod™ data platform applianced: the WEKApod Nitro for large-scale enterprise AI deployments and the WEKApod Prime for smaller-scale AI deployments and multi-purpose high-performance data use cases.

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The Rise of AI Lip-sync: From Uncanny Valley to Hyperrealism

Dataconomy

Remember the awkward dubbing in old kung-fu movies? Or the jarring lip-sync in early animated films? Those days are fading fast, and thanks to the rise of AI-powered lip-sync technology, could forever be behind us. Since April 2023, the number of solutions and the volume of “AI lip-sync” keyword searches has grown dramatically, coming from nowhere to becoming one of the critical trends in generative AI.

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Flood Risk Assessment Using Digital Elevation and the HAND Models

Analytics Vidhya

In early 2024, Brazil experienced heavy rainfall, particularly in the south and northeast regions, leading to floods that damaged cities, destroyed crops, and caused fatalities. As climate change increases the frequency of extreme weather conditions, such as droughts and floods, contingency planning and risk assessment are becoming increasingly crucial for managing such events.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.