Sat.Jul 13, 2024 - Fri.Jul 19, 2024

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Beyond Imitation

O'Reilly on Data

The first AI image generation model I got to play around with was Midjourney v2 in summer 2022. A month earlier, OpenAI had launched DALL-E 2 in beta, and the results looked unbelievably magical. You could generate images in any art style simply by prompting an AI with the name of an artist. I didn’t go to art school, and I didn’t really know that much about art, so one of the first prompts I tried was “Super Mario drinking a glass of beer.

Modeling 213
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GenAI sticker shock sends CIOs in search of solutions

CIO Business Intelligence

The early bills for generative AI experimentation are coming in, and many CIOs are finding them more hefty than they’d like — some with only themselves to blame. “We’re getting back into this frenetic spend mode that we saw in the early days of cloud,” observed James Greenfield, vice president of AWS Commerce Platform, at the FinOps X conference in San Diego in June.

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What is Tensor: Key Concepts, Properties, and Uses in Machine Learning

Analytics Vidhya

Introduction Assume you are engaged in a challenging project, like simulating real-world phenomena or developing an advanced neural network to forecast weather patterns. Tensors are complex mathematical entities that operate behind the scenes and power these sophisticated computations. Tensors efficiently handle multi-dimensional data, making such innovative projects possible.

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Landing a Data Engineer Role: Free Courses and Certifications

KDnuggets

Is it possible to learn data engineering for free? I claim it is and present the evidence for that in the form of 10 free data engineering courses.

IT 154
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Migrate from Apache Solr to OpenSearch

AWS Big Data

OpenSearch is an open source, distributed search engine suitable for a wide array of use-cases such as ecommerce search, enterprise search (content management search, document search, knowledge management search, and so on), site search, application search, and semantic search. It’s also an analytics suite that you can use to perform interactive log analytics, real-time application monitoring, security analytics and more.

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What’s the Value of Mobile Business Intelligence (BI)?

Smarten

Mobile Business Intelligence (BI) IS Important to Your Team and Business Results! Why Mobile Business intelligence? Well, there are a lot of reasons: Expand (or establish) data access to business users Provide tools for use, no matter where the user may be (office, home, airport, client office, supplier location, etc.) Ensure that the business makes fact-based decisions Allow team members to transition to Citizen Data Scientists by providing analytical tools in an intuitive, easy-to-use environm

More Trending

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Unlocking the Power of Data Products with Denodo Platform 9’s Data Preparation Wizard

Data Virtualization

Reading Time: 2 minutes Organizations are always on the lookout for ways to make better use of their data. Enter data products—these curated, reusable data assets are designed to meet specific business needs, and they’ve now become essential tools. With Denodo Platform 9, the. The post Unlocking the Power of Data Products with Denodo Platform 9’s Data Preparation Wizard appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Deploying Ontotext GraphDB on Azure

Ontotext

Our blog post GraphDB Cluster Deployment Strategies explained how to deploy a high-availability GraphDB cluster. This can be done both on-premises and in the cloud. Ontotext collaborates with major cloud providers, Azure and AWS, to offer the GraphDB high-availability cluster either as a managed service in Ontotext’s account or in the customer’s account.

Testing 59
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Learn about Dataland to avoid expensive hiring mistakes

Data Science and Beyond

Video and key points from the first part of a webinar on a startup’s first data hire, covering data & AI definitions and high-level recommendations.

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Top 18 Companies Hiring Data Professionals through Hackathons

Analytics Vidhya

Introduction Forget endless resumes and interviews! Hackathons are now the new way for companies to find the best data professionals. These intense coding competitions bring together talented folks to tackle tricky problems. It’s a chance to show off your skills and think outside the box under friendly pressure. But it’s not just about bragging rights. […] The post Top 18 Companies Hiring Data Professionals through Hackathons appeared first on Analytics Vidhya.

Analytics 364
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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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How ChatGPT is Changing the Face of Programming

KDnuggets

Empowering Developers and Transforming Programming Practices

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CIOs are stretched more than ever before — and that’s a good thing

CIO Business Intelligence

The CIO role is in a constant state of flux. What was a thorough set of roles and responsibilities a few years ago is far from adequate today, so the operationally focused CIO of the last decade isn’t the digital leader of the future, says Omer Grossman, global CIO at technology specialist CyberArk. “Some CIOs just try and keep the lights on,” he says.

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How Volkswagen streamlined access to data across multiple data lakes using Amazon DataZone – Part 1

AWS Big Data

Over the years, organizations have invested in creating purpose-built, cloud-based data lakes that are siloed from one another. A major challenge is enabling cross-organization discovery and access to data across these multiple data lakes, each built on different technology stacks. A data mesh addresses these issues with four principles: domain-oriented decentralized data ownership and architecture, treating data as a product, providing self-serve data infrastructure as a platform, and implement

Data Lake 130
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Implementing the Tree of Thoughts Method in AI

Analytics Vidhya

Introduction Imagine you’re standing at the edge of a dense forest, each path leading in a different direction, and your goal is to find the most promising route to a hidden treasure. This scenario mirrors the fascinating approach of Tree of Thoughts in AI prompt engineering. Just like you’d weigh various trails, the Tree of […] The post Implementing the Tree of Thoughts Method in AI appeared first on Analytics Vidhya.

Analytics 361
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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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Machine Learning Made Simple for Data Analysts with BigQuery ML

KDnuggets

Thanks to tools like BigQuery ML, you can harness the power of ML without needing a computer science degree. Let's explore how to get started.

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The CIO role today: Change agents need only apply

CIO Business Intelligence

If you’re not yet an agent of change at your organization, your career as CIO may be at risk of falling behind. That’s because the majority of CIOs now see themselves as innovators and champions of change rather than technologists, according to a recent survey of people holding the job. While the drumbeat for CIOs to be strategic thinkers has been building for some time, the survey , conducted by Deloitte in February and released in June, marks a watershed moment of sorts: About 54% of CIOs now

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How Zurich Insurance Group built a log management solution on AWS

AWS Big Data

This post is written in collaboration with Clarisa Tavolieri, Austin Rappeport and Samantha Gignac from Zurich Insurance Group. The growth in volume and number of logging sources has been increasing exponentially over the last few years, and will continue to increase in the coming years. As a result, customers across all industries are facing multiple challenges such as: Balancing storage costs against meeting long-term log retention requirements Bandwidth issues when moving logs between the clo

Insurance 127
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7 Coding Tasks ChatGPT Can’t Do

Analytics Vidhya

Introduction ChatGPT may be the rising star in the coding world, but even this AI whiz has its limits. While it can churn out impressive code at lightning speed, there are still programming challenges that leave it stumped. Curious about what makes this digital brainiac break a sweat? We’ve compiled a list of 7 coding […] The post 7 Coding Tasks ChatGPT Can’t Do appeared first on Analytics Vidhya.

Analytics 346
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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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7 Ways to Improve Your Machine Learning Models

KDnuggets

Tips and tricks on improving machine learning model performance on diverse and unseen datasets.

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SAP security holes raise questions about the rush to AI

CIO Business Intelligence

Cloud security firm Wiz has probed SAP defenses as part of its tenant isolation research on AI service providers, and on Wednesday published a lengthy list of shortcomings. SAP says that they fixed all of the problems before Wiz published. Most deal with either a lack of meaningful segmentation or network components trusting other components without any authentication — a violation of the basic tenet of Zero Trust.

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Migrate data from an on-premises Hadoop environment to Amazon S3 using S3DistCp with AWS Direct Connect

AWS Big Data

This post demonstrates how to migrate nearly any amount of data from an on-premises Apache Hadoop environment to Amazon Simple Storage Service (Amazon S3) by using S3DistCp on Amazon EMR with AWS Direct Connect. To transfer resources from a target EMR cluster, the traditional Hadoop DistCp must be run on the source cluster to move data from one cluster to another, which invokes a MapReduce job on the source cluster and can consume a lot of cluster resources (depending on the data volume).

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Top 10 Data Science Alternative Career Paths

Analytics Vidhya

Introduction Data science’s abilities are so versatile that they open up various job alternatives. Quite independently of whether your focus is on business analysis, product management, or ethical issues, there is always a job that one would be eager to do and can do well. Thus, in the rapidly developing field of data science, such […] The post Top 10 Data Science Alternative Career Paths 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.

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The Role of AI in Digital Marketing

KDnuggets

Artificial intelligence (AI) has revolutionized numerous sectors, including digital marketing. This field leverages online platforms to promote products and services.

Marketing 148
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Microsoft Recall: Everything IT can get wrong about AI in a single feature

CIO Business Intelligence

AI is the new “Digital.” That is, vendors are slapping the AI label on their wares regardless of whether their wares’ capabilities warrant it, aided and abetted by the complete and utter lack of a reliable definition of AI. It’s just as they did with “Digital” a few years back. But sometimes a product deserves the AI label. That makes its description accurate, which is quite a different matter from it being a good idea.

IT 126
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Building a scalable streaming data platform that enables real-time and batch analytics of electric vehicles on AWS

AWS Big Data

The automobile industry has undergone a remarkable transformation because of the increasing adoption of electric vehicles (EVs). EVs, known for their sustainability and eco-friendliness, are paving the way for a new era in transportation. As environmental concerns and the push for greener technologies have gained momentum, the adoption of EVs has surged, promising to reshape our mobility landscape.

Analytics 115
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Optimizing AI Performance: A Guide to Efficient LLM Deployment

Analytics Vidhya

Introduction In an era where artificial intelligence is reshaping industries, controlling the power of Large Language Models (LLMs) has become crucial for innovation and efficiency. Imagine a world where customer service chatbots not only understand but anticipate your needs, or where complex data analysis tools provide insights instantaneously. To unlock such potential, businesses must master […] The post Optimizing AI Performance: A Guide to Efficient LLM Deployment appeared first on Ana

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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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Describing Data: A Statology Primer

KDnuggets

This collection of tutorials on describing data comes from our sister site Statology.

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As mainframe application development grows, so does the security risk

CIO Business Intelligence

Mainframe systems process a vast amount of vital transactions daily—that includes everything from the swipe of a credit card at the grocery store to purchasing an airline ticket online or accessing sensitive healthcare information. A Rocket Software survey found that over half (51%) of IT leaders rely on mainframe systems to handle all, or nearly all, core business applications.

Risk 124
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Dataiku Placed Highest for All 3 Use Cases in Gartner Critical Capabilities Report

Dataiku

Dataiku placed highest for all three Use Cases in the Gartner Critical Capabilities for Data Science and ML Platforms, Core Data Science report.

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Evaluating GPT-4o mini: How OpenAI’s Latest Model Stacks Up?

Analytics Vidhya

Introduction OpenAI launched GPT-4o mini yesterday (18th June 2024), taking the world by storm. There are several reasons for this. OpenAI has traditionally focused on large language models (LLMs), which take a lot of computing power and have significant costs associated with using them. However, with this release, they are officially venturing into small language […] The post Evaluating GPT-4o mini: How OpenAI’s Latest Model Stacks Up?

Modeling 328
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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.