Sat.Nov 30, 2024 - Fri.Dec 06, 2024

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Top 20 Python Libraries for Data Science Professionals

Analytics Vidhya

Data science has emerged as one of the most impactful fields in technology, transforming industries and driving innovation across the globe. Python, a versatile and powerful programming language renowned for its simplicity and extensive ecosystem, is at the heart of this revolution. Python’s dominance in the data science landscape is largely attributed to its rich […] The post Top 20 Python Libraries for Data Science Professionals appeared first on Analytics Vidhya.

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GenAI in Data Analytics

Pickl AI

Summary: Generative AI is transforming Data Analytics by automating repetitive tasks, enhancing predictive modelling, and generating synthetic data. This technology enables organisations to derive deeper insights from their datasets, facilitating better decision-making and operational efficiency. By leveraging GenAI, businesses can personalize customer experiences and improve data quality while maintaining privacy and compliance.

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Data Governance Best Practices: Lessons from Anthem’s Massive Data Breach

The Data Administration Newsletter

In the insurance industry, data governance best practices are not just buzzwords — they’re critical safeguards against potentially catastrophic breaches. The 2015 Anthem Blue Cross Blue Shield data breach serves as a stark reminder of why robust data governance is crucial.

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8 Environments and Platforms for Multi-Agent Systems

ODSC - Open Data Science

Multi-agent systems have taken the AI world by storm, offering unparalleled capabilities for solving complex problems through distributed intelligence. By leveraging multiple AI agents that interact and collaborate, organizations can streamline workflows, enhance decision-making, and explore new realms of innovation in ways unimaginable even a decade ago.

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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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AI Headphones Create Cones of Silence

Flipboard

It’s an experience we’ve all had: Whether catching up with a friend over dinner at a restaurant, meeting an interesting person at a cocktail party, or conducting a meeting amid office commotion, we find ourselves having to shout over background chatter and general noise. The human ear and brain are not especially good at identifying separate sources of sound in a noisy environment to focus on a particular conversation.

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5 Data Management Tool and Technology Trends to Watch in 2025

Dataversity

The market surrounding data management tools and technologies is quite mature. After all, the typical business has been making extensive use of data to help streamline its operations and decision-making for years, and many companies have long had data management tools in place. But that doesn’t mean that little is happening in the world of […] The post 5 Data Management Tool and Technology Trends to Watch in 2025 appeared first on DATAVERSITY.

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Technical and Strategic Best Practices for Building Robust Data Platforms

Dataversity

In the AI era, organizations are eager to harness innovation and create value through high-quality, relevant data. Gartner, however, projects that 80% of data governance initiatives will fail by 2027. This statistic underscores the urgent need for robust data platforms and governance frameworks. A successful data strategy outlines best practices and establishes a clear vision for data architecture, […] The post Technical and Strategic Best Practices for Building Robust Data Platforms appea

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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. To address these challenges, we introduce Amazon Bedrock IDE , an integrated environment for developing and customizing generative AI applications.

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Data Interpretation: Methods, Types, Tips, and Solved Examples

Pickl AI

Summary: This blog provides an in-depth exploration of data interpretation, covering its methods, types, and practical tips for effective analysis. It includes detailed explanations of graphical representation, caselet forms, and mixed methods. Additionally, solved examples illustrate key concepts, enhancing understanding and application in real-world scenarios across various fields.

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Is AI-Powered Surveillance Contributing to the Rise of Totalitarianism?

insideBIGDATA

In this contributed article, Aayam Bansal explores the increasing reliance on AI in surveillance systems and the profound societal implications that could lead us toward a surveillance state. This piece delves into the ethical risks of AI-powered tools like predictive policing, facial recognition, and social credit systems, while raising the question: Are we willing to trade our personal liberties for the promise of safety?

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Apache Airflow®: The Ultimate Guide to 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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7 Projects to Master Data Engineering

KDnuggets

Learn to build, run, and manage data engineering pipelines both locally and in the cloud using popular tools.

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Announcing Public Preview of Cross Platform View Sharing

databricks

We are excited to announce the Public Preview of Cross-Platform View Sharing. Available today, it allows data providers to share views across different.

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Pinecone Spruces Up AI Knowledge Platform

Adrian Bridgwater for Forbes

As an AI infrastructure company that now provides a platform for inference, retrieval and knowledge base management, Pinecone says it is setting a new standard.

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Tuskira Emerges from Stealth with $28.5M to Launch AI-Powered Unified Threat Defense Platform

insideBIGDATA

Tuskira, a pioneering threat defense platform leveraging an AI-powered security mesh, has launched out of stealth mode with $28.5 million in funding. The round was led by Intel Capital and SYN Ventures, with participation from Sorenson Capital, Rain Capital, Wipro Ventures, and other key industry leaders.

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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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10 Python Libraries Every Developer Should Know

KDnuggets

In this article, we’ll go over Python libraries for tasks like logging, unit testing, data handling, and more — each with features that can simplify your application development.

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Databricks Brings AI to the Enterprise using NVIDIA AI and Accelerated Computing

databricks

The world of artificial intelligence (AI) and data analytics is about to get a significant boost, thanks to Databricks’ collaboration with NVIDIA. This.

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Strategic Linear Contextual Bandits

Machine Learning Research at Apple

Motivated by the phenomenon of strategic agents gaming a recommendation system to maximize the number of times they are recommended to users, we study a strategic variant of the linear contextual bandit problem, where the arms strategically misreport privately observed contexts to the learner. % under strategic context manipulation. We treat the algorithm design problem as one of emph{mechanism design} under uncertainty and propose the Optimistic Grim Trigger Mechanism (OptGTM) that minimizes re

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AI Beyond LLMs: How LQMs Are Unlocking the Next Wave of AI Breakthroughs

insideBIGDATA

In this contributed article, Dr. Stefan Leichenauer, Vice President of Engineering and lead scientist at SandboxAQ, discusses the profound evolution that is now emerging: Large Quantitative Models (LQMs), designed to tackle complex real-world problems in areas such as healthcare, climate science, and materials design, are set to revolutionize industries and unlock new AI-powered breakthroughs for some of the world’s greatest challenges.

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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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Getting Started with MongoDB: Installation and Setup Guide

KDnuggets

MongoDB is a database that’s great for handling large amounts of diverse data. This article walks you through installing MongoDB and using the MongoDB Shell to manage your data easily.

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Equiniti: From Zero to AI

databricks

Equiniti wanted to centralize data and insights to its operations. To this end, it utilized the Databricks Data Intelligence Platform and Mosaic AI tools to enhance customer experience and drive innovation.

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Building a Graph RAG System: A Step-by-Step Approach

Machine Learning Mastery

Graph RAG, Graph RAG, Graph RAG! This term has become the talk of the town, and you might have come across it as well. But what exactly is Graph RAG, and what has made it so popular?

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CrewAI Based DSA Tutor: Personalized Learning with Multi-Agent Systems

Analytics Vidhya

The rapid advancements in artificial intelligence have brought significant innovation to education, where personalized learning solutions are becoming increasingly feasible. Multi-agent systems (MAS), a concept rooted in distributed problem-solving, are particularly well-suited for addressing complex educational challenges. These systems break down tasks among specialized agents, each focusing on specific aspects of the problem, thereby creating […] The post CrewAI Based DSA Tutor: Persona

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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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The startups Nvidia thinks are the future of AI

Dataconomy

Nvidia has expanded its influence in the artificial intelligence (AI) sector by investing in six emerging AI companies. The tech behemoth, valued at $3.3 trillion, aims to leverage innovation across various industries while navigating the complexities of these investments. Nvidia builds AI portfolio with investments in six startups Nvidia’s investments include Applied Digital Corp , Arm Holdings , Nano-X Imaging , Recursion Pharmaceuticals , Serve Robotics , and SoundHound AI.

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Artificial Intelligence in manufacturing

databricks

In recent years, artificial intelligence has transformed from an aspirational technology to a driver of manufacturing innovation and efficiency. Understanding both the current.

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AWS Extends Agentic AI Capabilities In Amazon Q Developer

Adrian Bridgwater for Forbes

Software application development code assistants in the decade before now worked as what we could call smart autocomplete tools.

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Data Analyst Learning Path 2025

Analytics Vidhya

In 2025, data isn’t just king—it’s the whole empire. The global data analytics market is projected to grow to $279.31 billion by 2030, with a remarkable 27.3% CAGR. This rapid growth means the demand for skilled data analysts is skyrocketing. To stand out in this fast-evolving field, you need more than just basic knowledge – […] The post Data Analyst Learning Path 2025 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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AWS takes on Nvidia and Amazon shares are loving it

Dataconomy

Amazon Web Services (AWS) announced the launch of a new AI supercomputer, Project Rainier, constructed from its proprietary Trainium chips, aiming to rival Nvidia’s dominance in the AI chip market. This supercomputer, which will be finalized by 2025, is poised to be one of the largest ever used for training AI models. Following this revelation, Amazon’s stock price increased by over 1%, reaching nearly $213.

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Unlock the Predictive Power of Your Time Series Data

databricks

At Databricks, AutoML is our low-code/no-code model training API that empowers customers to create quality machine learning (ML) models with their data on.

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The Name That Broke ChatGPT: Who is David Mayer?

Cassie Kozyrkov

AI, privacy, human bias, prompting, the future of content, and how to hack a chatbot Continue reading on Towards Data Science »

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How to Create Publication-Ready Figures and Tables with Python?

Analytics Vidhya

Creating publication-ready figures and tables is essential for academic research and data presentation. Python, with its robust ecosystem of libraries, offers a wide range of tools to help you generate high-quality, aesthetically pleasing, and customizable visuals for your research papers. In this article, we’ll explore how to use Python to generate publication-ready figures and tables. […] The post How to Create Publication-Ready Figures and Tables with Python?

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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.