Sat.Nov 16, 2024 - Fri.Nov 22, 2024

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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services.

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Will private data work in a new-era AI world?

Dataconomy

At the last AI Conference, we had a chance to sit down with Roman Shaposhnik and Tanya Dadasheva, the co-founders of Ainekko/AIFoundry, and discuss with them an ambiguous topic of data value for enterprises in the times of AI. One of the key questions we started from was: are most companies running the same frontier AI models, is incorporating their data the only way they have a chance to differentiate?

AI 113
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Data Errors in Financial Services: Addressing the Real Cost of Poor Data Quality

The Data Administration Newsletter

Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even industry leaders like Charles Schwab and Citibank have been severely impacted by poor data management, revealing the urgent need for more effective data quality processes across the sector.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies.

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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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How we built our AI Lakehouse

AssemblyAI

In a world where data is a crucial asset for training AI models, we've seen firsthand at AssemblyAI how properly managing this vital resource is essential in making progress toward our goal of democratizing state-of-the-art Speech AI. In the course of developing our Conformer and Universal speech recognition models , we've had to navigate the complexities of handling massive amounts of audio data and metadata.

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How to Implement Named Entity Recognition with Hugging Face Transformers

Flipboard

Let's take a look at how we can perform NER using that Swiss army knife of NLP and LLM libraries, Hugging Face's Transformers.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies.

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Simplifying API Interactions with LangChain’s Requests Toolkit and ReAct Agents

Data Science Dojo

RESTful APIs (Application Programming Interfaces) are an integral part of modern web services, and yet as the popularity of large language models (LLMs) increases, we have not seen enough APIs being made accessible to users at the scale that LLMs can enable. Imagine verbally telling your computer, “Get me weather data for Seattle” and have it magically retrieve the correct and latest information from a trusted API.

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What is a Bernoulli Distribution?

Analytics Vidhya

A key idea in data science and statistics is the Bernoulli distribution, named for the Swiss mathematician Jacob Bernoulli. It is crucial to probability theory and a foundational element for more intricate statistical models, ranging from machine learning algorithms to customer behaviour prediction. In this article, we will discuss the Bernoulli distribution in detail.

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70% of Firms Disrupted by AI: New Endava Research

insideBIGDATA

Endava a leading tech services provider, launched its latest research report with IDC titled, "The Next Wave of Digital Transformation in the Era of the AI-Powered Digital Shift.

AI 435
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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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Exploring Ethics and Morality Through Machine Intelligence

KDnuggets

This article examines the challenges of aligning machine behavior with human values, and the role of ethical frameworks in shaping responsible AI.

AI 337
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Discrete vs Continuous Data Distributions: Which One to Use?

Data Science Dojo

In the realm of data analysis, understanding data distributions is crucial. It is also important to understand the discrete vs continuous data distribution debate to make informed decisions. Whether analyzing customer behavior, tracking weather, or conducting research, understanding your data type and distribution leads to better analysis, accurate predictions, and smarter strategies.

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How to present and share your Notebook insights in AI/BI Dashboards

databricks

We’re excited to announce a new integration between Databricks Notebooks and AI/BI Dashboards, enabling you to effortlessly transform insights from your notebooks into.

AI 330
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Snowflake Unveils Snowflake Intelligence: The Future of Data Agents for Enterprise AI

insideBIGDATA

Snowflake Intelligence is a groundbreaking platform that will empower business users to create data agents, so they can analyze, summarize, and take action from their enterprise data Snowflake (NYSE: SNOW), the AI Data Cloud company, announced Snowflake Intelligence (in private preview soon), a new platform that will enable enterprises to easily ask business questions across their enterprise […]

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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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Pursue a Master’s in Data Science with the 4th Best Online Program

KDnuggets

100% online master’s program with flexible schedules designed for working professionals. Enrolling now for March 3rd.

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Building Your First Chatbot: A Hands-On Tutorial with Open-Source Tools

Machine Learning Mastery

A chatbot is a computer program that can talk to people. It can answer questions and help users anytime. You don’t need to know a lot about coding to make one. There are free tools that make it simple and fun. In this article, we will use a tool called ChatterBot.

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Celebrating Innovation: Announcing the Finalists of the Databricks Generative AI Startup Challenge

databricks

We are thrilled to unveil the finalists for the Databricks Generative AI Startup Challenge , a competition designed to spotlight innovative early-stage startups.

AI 330
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Using Maskformer for Images With Overlapping Objects

Analytics Vidhya

Image segmentation is another popular computer vision task that has applications with different models. Its usefulness across different industries and fields has allowed for more research and improvements. Maskformer is part of another revolution of image segmentation, using its mask attention mechanism to detect objects that overlap their bounding boxes.

Analytics 270
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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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A Guide to Data Analysis in Python with DuckDB

KDnuggets

Learn how to perform data analysis in Python using DuckDB.

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NVIDIA Accelerates Google Quantum AI Processor Design With Simulation of Quantum Device Physics

insideBIGDATA

NVIDIA announced it is working with Google Quantum AI to accelerate the design of its next-generation quantum computing devices using simulations powered by the NVIDIA CUDA-Q™ platform.

AI 293
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Demystifying Ensemble Methods: Boosting, Bagging, and Stacking Explained

Machine Learning Mastery

Unity makes strength. This well-known motto perfectly captures the essence of ensemble methods: one of the most powerful machine learning (ML) approaches -with permission from deep neural networks- to effectively address complex problems predicated on complex data, by combining multiple models for addressing one predictive task.

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What is Adaptive Gradient(Adagrad) Optimizer?

Analytics Vidhya

Imagine you’re planting a garden with a variety of plants, each requiring a different amount of water. If you used the same amount of water on all of them every day, some plants would thrive, while others might get overwatered or dry out. In machine learning, a similar challenge exists with gradient descent, where using […] The post What is Adaptive Gradient(Adagrad) Optimizer?

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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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Integrating Language Models into Existing Software Systems

KDnuggets

Improving existing software systems, making them more robust and capable of solving complex contemporary problems.

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Introducing Predictive Optimization for Statistics

databricks

We are excited to introduce the gated Public Preview of Predictive Optimization for statistics. Announced at the Data + AI Summit, Predictive Optimization.

AI 282
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How AI is Transforming Legal Operations and Revolutionizing Contract Management Efficiency

insideBIGDATA

In this contributed article, Daniela De La Vega Smith, an accomplished legal and compliance professional, discusses how AI-driven contract analysis, workflow automation, and predictive insights are changing the game for legal operations. From optimizing contract reviews with natural language processing to enabling cross-departmental collaboration and proactive risk assessment, Daniela talks about how AI is transforming contract lifecycle management into a more efficient, accurate, and proactive

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Tencent Hunyuan3D-1.0: 3D Modeling with AI-Driven Speed and Precision

Analytics Vidhya

Introducing Hunyuan3D-1.0, a game-changer in the world of 3D asset creation. Imagine generating high-quality 3D models in under 10 seconds—no more long waits or cumbersome processes. This innovative tool combines cutting-edge AI and a two-stage framework to create realistic, multi-view images before transforming them into precise, high-fidelity 3D assets.

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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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Develop the Right AI Skills for Job Security

KDnuggets

Don’t get left behind - start learning AI with 5-course tracks by DataCamp with 50% on Black Friday deal!

AI 319
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Introducing an exclusively Databricks-hosted Assistant

databricks

We’re excited to announce that the Databricks Assistant , now fully hosted and managed within Databricks, is available in public preview! This version.

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How Generative AI is Shaping the Next Wave of Innovation

insideBIGDATA

In this contributed article, Harikrishna Kundariya, co-founder, Director of eSparkBiz Technologies, discusses how generative AI is emerging as a revolutionary technology that is simplifying as well as reducing the cost of doing business across sectors. Generative AI is the new innovation after the Industrial Revolution that is going to bring remarkable changes in every aspect of the overall business environment.

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Top 10 Python Libraries for Data Analysis

Analytics Vidhya

In the era of big data and rapid technological advancement, the ability to analyze and interpret data effectively has become a cornerstone of decision-making and innovation. Python, renowned for its simplicity and versatility, has emerged as the leading programming language for data analysis. Its extensive library ecosystem enables users to seamlessly handle diverse tasks, from […] The post Top 10 Python Libraries for Data Analysis appeared first on Analytics Vidhya.

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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.