Sat.Apr 27, 2024 - Fri.May 03, 2024

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Avoid these 8 Data-related Mistakes on Data Projects

insideBIGDATA

This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing.

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The Marvels of Generative AI: Key Concepts and Use Cases

Data Science Dojo

Imagine a tool so versatile that it can compose music, generate legal documents, assist in developing vaccines, and even create artwork that seems to have sprung from the brush of a Renaissance master. This isn’t the plot of a sci-fi novel but the reality of generative artificial intelligence (AI). Generative AI is transforming how we approach creativity and problem-solving across various sectors.

AI 414
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5 Simple Steps to Automate Data Cleaning with Python

KDnuggets

Automate your data cleaning process with a practical 5-step pipeline in Python, ideal for beginners.

Python 366
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How to Transition your Career from Non Tech Field to Generative AI?

Analytics Vidhya

Introduction In today’s rapidly evolving world, the term ‘Generative AI’ is on everyone’s lips. Studies reveal that Generative AI is becoming indispensable in the workplace, with the market projected to reach $1.3 trillion by 2032. If you’ve been considering a career transition from a non-tech field to Generative AI, now is the time!

AI 339
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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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Rockets: A Good Analogy for AI Language Models

insideBIGDATA

In this contributed article, Varun Singh, President and co-founder of Moveworks, sees rockets as a fitting analogy for AI language models. While the core engines impress, he explains the critical role of Vernier Thrusters in providing stability for the larger engine. Likewise, large language models need the addition of smaller, specialized models to enable oversight and real-world grounding.

AI 418
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What Is Cloud Provisioning?

Adrian Bridgwater for Forbes

Cloud provisioning has been a chore at times, but in our increasingly automated infrastructure future, cloud provisioning will have been provisioned and provided for.

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More Trending

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Vidu is Sora’s Latest Competition in AI Video Generation

Analytics Vidhya

A novel text-to-video AI model, named Vidu, has made its debut at the 2024 Zhongguancun Forum in Beijing. Developed jointly by ShengShu-AI and Tsinghua University, this new model challenges the dominance of OpenAI’s Sora. Let’s explore the features of Vidu and find out what it means for generative AI technologies in China. Also Read: Sora’s […] The post Vidu is Sora’s Latest Competition in AI Video Generation appeared first on Analytics Vidhya.

AI 319
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The Importance of Protecting AI Models

insideBIGDATA

In this contributed article, Rick Echevarria, Vice President, Security Center of Excellence, Intel, touches on the growing importance of protecting AI models and the data they contain, as this data is often sensitive, private, or regulated. Leaving AI models and their data training sets unmanaged, unmonitored, and unprotected can put an organization at significant risk of data theft, fines, and more.

AI 322
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Executive Overview: The Rise of Open Foundational Models

databricks

Moving generative AI applications from the proof of concept stage into production requires control, reliability and data governance. Organizations are turning to open.

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Containerize Python Apps with Docker in 5 Easy Steps

KDnuggets

Get up and running with Docker with this tutorial on containerizing Python applications.

Python 311
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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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Check Out This New Robot that Does Household Chores with Precision

Analytics Vidhya

China’s robotics industry has just marked an impressive leap with the unveiling of a new humanoid robot, Astribot S1. The fully autonomous robot, developed by Stardust Intelligence, redefines the benchmarks of speed, precision, and functionality. Let’s explore how this AI-driven marvel would reshape various sectors with its remarkably human-like capabilities.

Analytics 315
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Big AIs in Small Devices

insideBIGDATA

In this contributed article, Luc Andrea, Engineering Director at Multiverse Computing, discusses the challenge of integrating increasingly complex AI systems, particularly Large Language Models, into resource-limited edge devices in the IoT era. It proposes quantum-inspired algorithms and tensor networks as potential solutions for compressing these large AI models, making them suitable for edge computing without compromising performance.

AI 293
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Databricks Assistant Tips & Tricks for Data Engineers

databricks

The generative AI revolution is transforming the way that teams work, and Databricks Assistant leverages the best of these advancements. It allows you.

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5 MLOps Courses from Google to Level Up Your ML Workflow

KDnuggets

Want to build and deploy robust machine learning systems to production? Start learning MLOps today with these courses from Google.

ML 301
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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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Finetuning Llama 3 with Odds Ratio Preference Optimization

Analytics Vidhya

Introduction Large Language Models are often trained rather than built, requiring multiple steps to perform well. These steps, including Supervised Fine Tuning (SFT) and Preference Alignment, are crucial for learning new things and aligning with human responses. However, each step takes a significant amount of time and computing resources. One solution is the Odd Ratio […] The post Finetuning Llama 3 with Odds Ratio Preference Optimization appeared first on Analytics Vidhya.

Analytics 311
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Atlassian Rovo Enterprise Knowledge Tool Smartens Human-AI Collaboration

Adrian Bridgwater for Forbes

We need a way to know which data matters, what sources to pay the most attention to and how we should navigate various information domains.

AI 284
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Calibrating the Mosaic Evaluation Gauntlet

databricks

A good benchmark is one that clearly shows which models are better and which are worse. The Databricks Mosaic Research team is dedicated.

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Avoid These 5 Common Mistakes Every Novice in AI Makes

KDnuggets

Top five mistakes made by AI beginners and practical tips to avoid them, along with an engaging "50-Day Challenge" that you cannot afford to miss.

AI 288
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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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Building Responsible AI with Guardrails AI

Analytics Vidhya

Introduction Large Language Models (LLMs) are ubiquitous in various applications such as chat applications, voice assistants, travel agents, and call centers. As new LLMs are released, they improve their response generation. However, people are increasingly using ChatGPT and other LLMs, which may provide prompts with personal identifiable information or toxic language.

AI 300
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Design patterns for AI agents in LLMs: Key framework, benefits, and challenges

Data Science Dojo

Have you ever thought about the leap from “Good to Great” as James Collins describes in his book? This is precisely what we aim to achieve with large language models (LLMs) today. We are at a stage where language models are surely competent, but the challenge is to elevate them to excellence. While there are numerous approaches that are being discussed currently to enhance LLMs, one approach that seems to be very promising is incorporating agentic workflows in LLMs.

AI 259
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Databricks named a Leader in the 2024 Forrester Wave for Data Lakehouses

databricks

We are proud to announce that Forrester has recognized Databricks as a Leader with the highest scores in both current offering and strategy.

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Data Science Degrees vs. Courses: The Value Verdict

KDnuggets

Exploring the merits of data science degrees vs courses, this analysis contrasts their depth, prestige, and practicality in job market preparation

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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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Med-Gemini : A New AI Model Reaching 91.1% Accuracy in Medical Diagnostics

Analytics Vidhya

Researchers from Google and DeepMind have introduced Med-Gemini, a new generation of AI models specifically tailored for medical applications. Building on the strengths of the 2023 Gemini models renowned for language processing, multimodal understanding, and long-context reasoning, Med-Gemini significantly enhances these capabilities for healthcare applications.

AI 300
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Leveraging Big Data for Enhanced Cybersecurity Solutions

insideBIGDATA

In this contributed article, Alexander Norell of VikingCloud explores how big data analytics can significantly improve cybersecurity strategies by enabling more accurate threat detection and real-time response capabilities.

Big Data 259
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The Modern Data Stack: How The Evolution of Data Architecture Led to The Data Intelligence Platform

databricks

Modern data stacks provide the necessary flexibility and efficiency for analytics and AI. Learn how the Databricks Data Intelligence Platform makes use of them.

Analytics 243
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The Ultimate AI Strategy Playbook

KDnuggets

Many businesses rush to adopt AI but fail due to poor strategy. This post serves as your go-to playbook for success.

AI 269
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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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Understanding Fuzzy C Means Clustering

Analytics Vidhya

Introduction Clustering is an unsupervised machine learning algorithm that groups together similar data points based on criteria like shared attributes. Each cluster has data points that are similar to the other data points in the cluster while as a whole, the cluster is dissimilar to other data points. By making use of clustering algorithms, we […] The post Understanding Fuzzy C Means Clustering appeared first on Analytics Vidhya.

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In 2024, Data Quality and AI Will Open New Doors

insideBIGDATA

In this contributed article, Stephany Lapierre, Founder and CEO of Tealbook, discusses how AI can help streamline procurement processes, reduce costs and improve supplier management, while also addressing common concerns and challenges related to AI implementation like data privacy, ethical considerations and the need for human oversight.

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Intelligently Balance Cost Optimization & Reliability on Databricks

databricks

The Databricks Data Intelligence Platform offers unparalleled flexibility, allowing users to access nearly instant, horizontally scalable compute resources. This ease of creation can.

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Free Python Resources That Can Help You Become a Pro

KDnuggets

This is a collection of free courses, books, projects, repositories, cheat sheets, and online compilers on Python to help you get started and gain experience.

Python 260
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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.