Sat.Dec 07, 2024 - Fri.Dec 13, 2024

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Drug Launch Case Study: Amazing Efficiency Using DataOps

DataKitchen

A Drug Launch Case Study in the Amazing Efficiency of a Data Team Using DataOps How a Small Team Powered the Multi-Billion Dollar Acquisition of a Pharma Startup When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldnt be higher. This blog dives into the remarkable journey of a data team that achieved unparalleled efficiency using DataOps principles and software that transformed their analytics and data teams into a hyper-efficient powerhouse.

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Generative Logic

O'Reilly on Data

Alibabas latest model, QwQ-32B-Preview , has gained some impressive reviews for its reasoning abilities. Like OpenAIs GPT-4 o1, 1 its training has emphasized reasoning rather than just reproducing language. That seemed like something worth testing outor at least playing around withso when I heard that it very quickly became available in Ollama and wasnt too large to run on a moderately well-equipped laptop, I downloaded QwQ and tried it out.

Testing 190
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Top 50 Python Libraries to Know in 2025

Analytics Vidhya

Python’s versatility and readability have solidified its position as the go-to language for data science, machine learning, and AI. With a rich ecosystem of libraries, Python empowers developers to tackle complex tasks with ease. In this comprehensive guide, we’ll explore the top 50 Python libraries that will shape the future of technology.

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AI data readiness: C-suite fantasy, big IT problem

CIO Business Intelligence

Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. Nearly nine in 10 business leaders say their organizations data ecosystems are ready to build and deploy AI at scale, according to a recent Capital One AI readiness survey.

IT 117
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Build Write-Audit-Publish pattern with Apache Iceberg branching and AWS Glue Data Quality

AWS Big Data

Given the importance of data in the world today, organizations face the dual challenges of managing large-scale, continuously incoming data while vetting its quality and reliability. The importance of publishing only high-quality data cant be overstatedits the foundation for accurate analytics, reliable machine learning (ML) models, and sound decision-making.

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Empowering Students with Skills for Data-Driven Careers

Smart Data Collective

More careers are going to be affected by big data, which means that employees need the right skills.

More Trending

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5 tips for better business value from gen AI

CIO Business Intelligence

CIOs have been able to ride the AI hype cycle to bolster investment in their gen AI strategies, but the AI honeymoon may soon be over, as Gartner recently placed gen AI at the peak of inflated expectations , with the trough of disillusionment not far behind. That doesnt mean investments will dry up overnight. According to AI at Wartons report on navigating gen AIs early years, 72% of enterprises predict gen AI budget growth over the next 12 months but slower increases over the next two to five y

Sales 142
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Federate to Amazon Redshift Query Editor v2 with Microsoft Entra ID

AWS Big Data

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. With its massively parallel processing (MPP) architecture and columnar data storage, Amazon Redshift delivers high price-performance for complex analytical queries against large datasets. To interact with and analyze data stored in Amazon Redshift, AWS provides the Amazon Redshift Query Editor V2 , a web-based tool that allows you to explore, analyze, an

Sales 94
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Data-Driven Businesses Rediscover Benefits of Faxing Software

Smart Data Collective

Big data technology helps companies use fax machines more effectively, especially if they have the right fax software.

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Anthropic Computer Use: AI Assitant Taking Over Your Computer

Analytics Vidhya

Imagine your AI assistant taking over your mouse and keyboard to navigate a computer just like you wouldclicking, typing, and scrolling, all by “looking” at the screen. Anthropic’s latest update introduces this cool capability to their AI model, Claude. Its in beta testing, but its already shaking up how AI can interact with software.

Testing 286
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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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Cost, security, and flexibility: the business case for open source gen AI

CIO Business Intelligence

Travel and expense management company Emburse saw multiple opportunities where it could benefit from gen AI. It could be used to improve the experience for individual users, for example, with smarter analysis of receipts, or help corporate clients by spotting instances of fraud. Take for example the simple job of reading a receipt and accurately classifying the expenses.

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Building end-to-end data lineage for one-time and complex queries using Amazon Athena, Amazon Redshift, Amazon Neptune and dbt

AWS Big Data

One-time and complex queries are two common scenarios in enterprise data analytics. One-time queries are flexible and suitable for instant analysis and exploratory research. Complex queries, on the other hand, refer to large-scale data processing and in-depth analysis based on petabyte-level data warehouses in massive data scenarios. These complex queries typically involve data sources from multiple business systems, requiring multilevel nested SQL or associations with numerous tables for highly

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Unlocking Enterprise Data Potential with Retrieval Augmented Generation

Smart Data Collective

Unlock enterprise data potential: Empower decision-making with Retrieval Augmented Generation!

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ChatGPT Can Now See You!

Analytics Vidhya

OpenAI has released a Christmas miracle on Day 6 of its 12 Days of OpenAI series by giving ChatGPT, vision! Yes, OpenAI has introduced vision capabilities on ChatGPT, upgrading the existing voice chat feature to advanced voice mode with vision. This vision feature lets users have a video chat with ChatGPT and even share their […] The post ChatGPT Can Now See You!

Analytics 205
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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How AI orchestration has become more important than the models themselves

CIO Business Intelligence

Large language models (LLMs) just keep getting better. In just about two years since OpenAI jolted the news cycle with the introduction of ChatGPT, weve already seen the launch and subsequent upgrades of dozens of competing models. From Llama3.1 to Gemini to Claude3.5 to GPT-o1, the list keeps growing, along with a legion of new tools and platforms used for developing and customizing these models for specific use cases.

Modeling 115
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An integrated experience for all your data and AI with Amazon SageMaker Unified Studio (preview)

AWS Big Data

Organizations are building data-driven applications to guide business decisions, improve agility, and drive innovation. Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services. Data engineers use data warehouses, data lakes, and analytics tools to load, transform, clean, and aggregate data.

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Why and When to Delete Your Tweets in the Big Data Era

Smart Data Collective

Twitter has a lot of great benefits, but it poses some risks in the age of big data.

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Top 5 Reasons to Use AI Agents in 2025

Analytics Vidhya

The future is here, and its powered by AI agents. Unlike traditional software or AI tools, these agents are designed to operate autonomously, adapt to complex environments, and execute tasks without needing constant human oversight. Their ability to streamline processes, personalize experiences, and enable smarter decision-making makes them an indispensable asset for organizations and individuals […] The post Top 5 Reasons to Use AI Agents in 2025 appeared first on Analytics Vidhya.

Software 260
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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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By 2028, 30% of Fortune 500 companies could use AI-only service channels

CIO Business Intelligence

As businesses race toward digital transformation, Gartner has forecasted a game-changing shift in customer service strategies for Fortune 500 companies. By 2028, 30% of these enterprises are expected to streamline their service operations through single, AI-enabled channels capable of handling text, image, and sound interactions. This shift will redefine how enterprises handle customer service, moving from multichannel approaches to a streamlined, AI-enabled system.

Risk 123
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Run Apache Spark Structured Streaming jobs at scale on Amazon EMR Serverless

AWS Big Data

As data is generated at an unprecedented rate, streaming solutions have become essential for businesses seeking to harness near real-time insights. Streaming datafrom social media feeds, IoT devices, e-commerce transactions, and morerequires robust platforms that can process and analyze data as it arrives, enabling immediate decision-making and actions.

Metrics 72
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How is Data Used in the Video Game Industry?

Smart Data Collective

Big data technology has led to major breakthroughs in the video game industry over the last few years.

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A Comprehensive Guide to Building Contextual RAG Systems with Hybrid Search and Reranking

Analytics Vidhya

Retrieval Augmented Generation systems, better known as RAG systems have become the de-facto standard to build Customized Intelligent AI Assistants answering questions on custom enterprise data without the hassles of expensive fine-tuning of Large Language Models (LLMs). One of the major challenges of naive RAG systems is getting the right retrieved context information to answer […] The post A Comprehensive Guide to Building Contextual RAG Systems with Hybrid Search and Reranking appeared

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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.

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It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Despite the ambitions many leaders harbour, they face a series of challenges that must be overcome to realise the true value of AI investments. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose.

Risk 107
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Implement historical record lookup and Slowly Changing Dimensions Type-2 using Apache Iceberg

AWS Big Data

In todays data-driven world, tracking and analyzing changes over time has become essential. As organizations process vast amounts of data, maintaining an accurate historical record is crucial. History management in data systems is fundamental for compliance, business intelligence, data quality, and time-based analysis. It enables organizations to maintain audit trails, perform trend analysis, identify data quality issues, and conduct point-in-time reporting.

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AI Is Crucial for Improving Anti-Counterfeiting Systems

Smart Data Collective

AI technology is playing a very important role in helping fight counterfeiting in the 21st Century.

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Let’s Try Coding with OpenAI Canvas

Analytics Vidhya

OpenAI Canvas is a versatile tool designed to streamline collaborative coding and text editing. With its intuitive interface, Canvas offers a dynamic platform for developers to write, edit, and debug code alongside ChatGPTs AI-driven assistance. This makes it particularly useful for a wide range of tasks, from basic scripting to managing complex projects.

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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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10 most in-demand enterprise IT skills

CIO Business Intelligence

The software and services an organization chooses to fuel the enterprise can make or break its overall success. And part of that success comes from investing in talented IT pros who have the skills necessary to work with your organizations preferred technology platforms, from the database to the cloud. Indeeds 2024 Insights report analyzed the technology platforms most frequently listed in job ads on its site to uncover which tools, software, and programming languages are the most in-demand for

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Scaling AI Solutions with Cloudera: A Deep Dive into AI Inference and Solution Patterns

Cloudera

As organizations increasingly integrate AI into day-to-day operations, scaling AI solutions effectively becomes essential yet challenging. Many enterprises encounter bottlenecks related to data quality, model deployment, and infrastructure requirements that hinder scaling efforts. Cloudera tackles these challenges with the AI Inference service and tailored Solution Patterns developed by Clouderas Professional Services, empowering organizations to operationalize AI at scale across industries.

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Data Analytics is Crucial for Scaling SEO

Smart Data Collective

Data analytics can be very helpful for companies trying to improve their SEO.

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Gemini 2.0: Google’s New Model for the Agentic Era

Analytics Vidhya

Google DeepMind has launched Gemini 2.0. It is latest milestone in artificial intelligence, marking the beginning of a new era in Agentic AI. The announcement was made by Demis Hassabis, CEO of Google DeepMind, and Koray Kavukcuoglu, CTO of Google DeepMind, on behalf of the Gemini team. A Note from Sundar Pichai Sundar Pichai, CEO […] The post Gemini 2.0: Google’s New Model for the Agentic Era appeared first on Analytics Vidhya.

Modeling 185
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.