January, 2024

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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully.

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Ultimate List of Generative AI Resources

Analytics Vidhya

Introduction The rise of Large Language Models (LLMs) like ChatGPT has been revolutionary, igniting a new era in how we interact with technology. These sophisticated models, exemplified by ChatGPT, have redefined how we engage with digital platforms. Think about it – how often have you used tools like ChatGPT to effortlessly write an email or […] The post Ultimate List of Generative AI Resources appeared first on Analytics Vidhya.

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13 IT resolutions for 2024

CIO Business Intelligence

CIOs are readying for another demanding year, anticipating that artificial intelligence, economic uncertainty, business demands, and expectations for ever-increasing levels of speed will all be in play for 2024. Yet, CIOs remain both undaunted by that list and expectant about what they can achieve. They’re articulating ambitions and formulating objectives, turning those would-be challenges into opportunities.

IT 144
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The AI Playbook: Providing Important Reminders to Data Professionals

TDAN

Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations.

Metrics 122
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Amplifying Deep Learning: A Dive into Data Augmentation Strategies

Analytics Vidhya

Introduction In the world of deep learning, where data is often less, the role of data augmentation has become very important. We use methods like turning images or flipping them to make our model learn better. But our datasets are becoming more complicated. That’s where data augmentation steps in. This helps for our learning model […] The post Amplifying Deep Learning: A Dive into Data Augmentation Strategies appeared first on Analytics Vidhya.

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Monitoring Cloudera DataFlow Deployments With Prometheus and Grafana

Cloudera

Cloudera DataFlow for the Public Cloud (CDF-PC) is a complete self-service streaming data capture and movement platform based on Apache NiFi. It allows developers to interactively design data flows in a drag and drop designer, which can be deployed as continuously running, auto-scaling flow deployments or event-driven serverless functions. CDF-PC comes with a monitoring dashboard out of the box for data flow health and performance monitoring.

Metrics 105

More Trending

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How to handle a ransomware attack 

IBM Big Data Hub

It’s the news no organization wants to hear―you’ve been the victim of a ransomware attack, and now you’re wondering what to do next. The first thing to keep in mind is you’re not alone. Over 17 percent of all cyberattacks involve ransomware —a type of malware that keeps a victim’s data or device locked unless the victim pays the hacker a ransom.

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10 Advanced Git Techniques

KDnuggets

Improve your version control skills to resolve issues and maintain a clean Git repository.

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Can Language Models Replace Compilers?

O'Reilly on Data

Kevlin Henney and I recently discussed whether automated code generation, using some future version of GitHub Copilot or the like, could ever replace higher-level languages. Specifically, could ChatGPT N (for large N) quit the game of generating code in a high-level language like Python, and produce executable machine code directly, like compilers do today?

Modeling 288
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Quiz of the Day (Scikit-learn) # 14

Analytics Vidhya

Welcome to another exciting edition of the AI Quiz of the Day! In today’s edition, we delve into the fascinating world of machine learning with a focus on the popular Scikit-learn library, commonly known as Sklearn. Sklearn is a powerful tool for data analysis and machine learning, offering a wide range of modules that simplify […] The post Quiz of the Day (Scikit-learn) # 14 appeared first on Analytics Vidhya.

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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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Oracle plans to expand its cloud region across the Middle East

CIO Business Intelligence

Oracle’s annual flagship event, CloudWorld Tour returned to the UAE for the second consecutive year to share the company’s latest AI innovations to power UAE’s Digital Economy and its plans across the region. The company that just turned 35 years old in the UAE will continue to invest in local infrastructure to bring cloud capabilities that will help the UAE Government entities and private sector.

IT 145
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The EU Data Act Is Now In Force – What It Means For You And Your Organization

Martha Bennett

Providers and users of connected products in the EU, or services related to such products, take note: The EU Data Act is now in force. The clock on the transition period started ticking on January 11, 2023, and you need to be prepared.

IT 124
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Why Data-Driven Businesses Need Clean Sales Data

Smart Data Collective

We have talked about how big data is beneficial for companies trying to improve efficiency. However, many companies don’t use big data effectively. In fact, only 13% are delivering on their data strategies. We have talked about the importance of data quality when you are running a data-driven business.

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Enroll in a 4-year Computer Science Degree Program For Free

KDnuggets

Enroll in the free OSSU Computer Science degree program and launch your career in tech today. Learn from high-quality courses from professors from leading universities like MIT, Harvard, and Princeton.

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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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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. Today, everyone expects a personalized experience in any application, and organizations are constantly innovating to increase their speed of business operation and decision making. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 116
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Going Beyond the Basics of RAG Pipelines: How Txtai Can Help?

Analytics Vidhya

Introduction Effective retrieval methods are paramount in an era where data is the new gold. This article introduces an innovative data extraction and processing approach. Dive into the world of txtai and Retrieval Augmented Generation (RAG), where complex data becomes easily navigable and insightful. By the end of this article, you will know how the fusion of txtai […] The post Going Beyond the Basics of RAG Pipelines: How Txtai Can Help?

Analytics 335
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10 top priorities for CIOs in 2024

CIO Business Intelligence

Last year was certainly a wild ride, with the ascendent rise of AI impacting a wide range of IT sectors and capturing the imagination (and fears) of the world at large. IT leaders can look forward to even more surprises, as well as continuing challenges, over the next 12 months. To stay on top of both old and new challenges, IT chiefs should evaluate their current business and technology strategies and, when necessary, adjust them to address rapidly evolving technology, business, and economic pr

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Benefits of the LLM Mesh, Part 2: Enforcing a Secure API Gateway

Dataiku

With Generative AI top of mind for many companies, IT leaders have been tasked with figuring out how to make the most of this new technology through pilot use cases and experimentation.

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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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10 Best Practices For Business Intelligence Dashboards

Smart Data Collective

Companies around the world increasingly use business intelligence (BI) dashboards. If you use one or intend to, knowing some business intelligence best practices can help you avoid pitfalls. Here are 10 best practices for usiness intelligence dashboards from which you can choose information to display.

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Survey: Machine Learning Projects Still Routinely Fail to Deploy

KDnuggets

The author highlights the chronic under-deployment of ML projects, with only 22% of revolutionary initiatives deploying and a lack of stakeholder visibility and detailed planning as key issues, in his industry survey and book "The AI Playbook.

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Amazon OpenSearch Serverless now supports automated time-based data deletion 

AWS Big Data

We recently announced a new enhancement to OpenSearch Serverless for managing data retention of Time Series collections and Indexes. OpenSearch Serverless for Amazon OpenSearch Service makes it straightforward to run search and analytics workloads without having to think about infrastructure management. With the new automated time-based data deletion feature, you can specify how long they want to retain data and OpenSearch Serverless automatically manages the lifecycle of the data based on this

Sales 108
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Google and Stanford Develop AI Housemaid

Analytics Vidhya

Stanford University has introduced Mobile ALOHA, a robotic system that advances the capabilities of bimanual mobile manipulation through low-cost whole-body teleoperation. This innovation, which builds upon Google DeepMind’s existing ALOHA system, brings mobility and dexterity to the forefront of robotic learning. The project developed in collaboration with Berkeley University and Meta has many features, which […] The post Google and Stanford Develop AI Housemaid appeared first on An

Analytics 334
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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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Trust: The foundation for successful digital transformation

CIO Business Intelligence

In today’s dynamic, digitally evolving business landscape, establishing a strong foundation of trust within an organization is more vital than ever. In this article, we look at why trust is so critical in an enterprise and offer some key approaches for establishing a solid foundation of trust. Trust is critical and difficult to maintain In an enterprise, trust can be fragile.

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LVMH's Data Revolution: Pioneering AI at Scale in the World of Luxury

Dataiku

This blog post is a translated adaptation of LeMagIt’s article, “ Comment LVMH déploie l’IA à l’échelle.” In the fast-evolving landscape of luxury retail, staying ahead means not just embracing innovation but also orchestrating it across diverse brands and sectors. LVMH, the iconic French luxury group, has emerged as a trailblazer by strategically deploying artificial intelligence (AI) on an unprecedented scale.

IT 111
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AI Drives the Intersection of Industrial Hygiene and Cybersecurity

Smart Data Collective

AI technology has played a crucial role in the future of cybersecurity. According to Grand View Research, cybersecurity providers spent over $16.4 billion on AI in 2022. This figure is projected to grow over 24.3% a year through 2030.

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The Only Free Course You Need To Become a Professional Data Engineer

KDnuggets

Data Engineering ZoomCamp offers free access to reading materials, video tutorials, assignments, homeworks, projects, and workshops.

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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.

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Use Amazon Athena with Spark SQL for your open-source transactional table formats

AWS Big Data

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. As data lakes have grown in size and matured in usage, a significant amount of effort can be spent keeping the data consistent with business events.

Snapshot 107
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apt-get Command in Linux: Understanding with Examples

Analytics Vidhya

Introduction The apt-get command is a powerful tool in Linux that allows users to manage software packages. Whether you want to install, update, remove, or search for packages, apt-get provides a simple and efficient way to handle these tasks. In this article, we will explore the various functionalities of apt-get and provide examples to help […] The post apt-get Command in Linux: Understanding with Examples appeared first on Analytics Vidhya.

Software 328
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Digital KPIs: The secret to measuring transformational success

CIO Business Intelligence

Regardless of where organizations are in their digital transformation, CIOs must provide their board of directors, executive committees, and employees definitions of successful outcomes and measurable key performance indicators (KPIs). Do a little research, and you’ll find many frameworks, taxonomies, and recommendations for digital KPIs. For example, McKinsey suggests five metrics for digital CEOs , including the financial return on digital investments, the percentage of leaders’ incentives lin

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How does data deduplication work?

IBM Big Data Hub

Recent years have witnessed an explosion in the proliferation of self-storage units. These large, warehouse units have sprung up nationally as a booming industry because of one reason—the average person now has more possessions than they know what to do with. The same basic situation also plagues the world of IT. We’re in the midst of an explosion of data.

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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.