Sat.Jan 20, 2024 - Fri.Jan 26, 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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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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4 Keys to Generative AI Success in 2024

Dataiku

Let’s face it — Generative AI will continue to be the star of the show in 2024. Our commissioned study with Forrester surveyed 220 AI decision makers at large companies in North America in November 2023, and a whopping 83% of them are already exploring or experimenting with the technology.

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It’s Not Magic if it is Producing Real Global Benefits and Business Value

Rocket-Powered Data Science

Source: [link] When I was young, my dad told me about an incident that he experienced at work. He was a US Air Force officer. On that particular day, there was an unannounced (surprise) drill – a simulated national defense emergency. Though it was just a drill, it was still important to get it done right and efficiently. One of his responsibilities was to contact certain high-ranking officers and communicate with them about the situation (in this case, the simulated emergency).

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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How Generative AI Can Help You Improve Your Data Visualization Charts

KDnuggets

Using Generative AI to speed up and enhance data visualization.

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What is your data strategy for an AI future?

CIO Business Intelligence

As enterprises become more data-driven, the old computing adage garbage in, garbage out (GIGO) has never been truer. The application of AI to many business processes will only accelerate the need to ensure the veracity and timeliness of the data used, whether generated internally or sourced externally. The costs of bad data Gartner has estimated that organizations lose an average of $12.9m a year from using poor quality data.

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The dynamic forces behind data center re-transformation 

IBM Big Data Hub

Data centers are undergoing significant evolution. Initially, they were massive, centralized facilities that were complex, costly and difficult to replicate or restore. Now, advancements in hardware and software as well as increased focus on sustainability are driving rapid transformation. Catalysts and conundrums A dramatic shift in development and operations is making data centers more agile and cost-effective.

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How to minimize remote access cyber security threats in 2024

CIO Business Intelligence

Remote work began as a temporary measure during the pandemic but has long been a permanent fixture in our new way of working. Organizations have shifted to remote desktop work environments at an increasing speed since then – simultaneously expanding their attack surface and exposing themselves to greater cybersecurity threats. The remote work revolution has pushed companies to rethink their security and data protection practices amidst hybrid work and cloud environments.

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4 industries where chatbots will have the biggest impact

CIO Business Intelligence

Enterprise spending on consumer-facing generative AI tools will grow from $40 billion in 2023 to $1.3 trillion by 2032, according to a Bloomberg Intelligence analysis. Where will companies pour those hundreds of billions? More than 80% of business leaders believe that the best bang for their gen AI buck is in chatbots for automating customer service and improving knowledge management, according to a Capgemini survey of 1,000 companies in 13 countries.

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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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Generative AI in the Real World: Chip Huyen on Finding Business Use Cases for Generative AI

O'Reilly on Data

O’Reilly’s Generative AI in the Enterprise survey reported that people have trouble coming up with appropriate enterprise use cases for AI. Why is it hard to come up with appropriate use cases? Chip Huyen, co-founder of Claypot AI and author of Designing Machine Learning Systems , will talk about why many companies have trouble coming up with appropriate use cases for AI, how to evaluate possible use cases, and the skills your company will need to put these use cases into practice.

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AI Prompt Engineers are Making $300k/y

KDnuggets

Prompt engineering and generative AI are becoming hotter by the day. Be part of the heat!

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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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Open-Source BI Tool Metabase for Data Visualization and Analytics

Analytics Vidhya

Introduction Are you a passionate data professional exploring new tools? Try Metabase, an open-source Business Intelligence (BI) tool for creating interactive dashboards from large datasets. In today’s data-driven world, BI platforms like Metabase are essential for extracting insights and facilitating informed decision-making. Discover the power of Metabase in this guide tailored for data professionals.

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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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The Business Analyst Competency List

BA Learnings

Being a business analyst is a journey filled with challenges and triumphs, where the treasure is not just data but insights that transform businesses. Fundamentally, we do our best not only to understand information but also to think of how we can use that information to lead transformation, efficiency, and improvement. In this article, we’re looking at some of the most sought-after competencies vital in navigating the intricate world of business analysis.

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Top 16 Technical Data Sources for Advanced Data Science Projects

KDnuggets

Here are data repositories that will up your data science game and improve your data projects.

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SAP announces $2.2B restructuring program that’ll impact 8,000 jobs

CIO Business Intelligence

German tech major SAP has announced a 2 billion euro ($2.17 billion) restructuring program for 2024, impacting 8,000 employees as it focuses on AI. “In 2024, SAP will further increase its focus on key strategic growth areas, in particular Business AI. It also intends to transform its operational setup to capture organizational synergies, AI-driven efficiencies and to prepare the company for highly scalable future revenue growth,” SAP said in a press statement.

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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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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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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.

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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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Top 5 industry trends in strategic portfolio planning for 2024

CIO Business Intelligence

Over the years, I’ve had the opportunity to work with contacts in many leading enterprises, including businesses across a wide range of industries and regions. This experience has given me a unique vantage point, enabling me to see those specifics that are unique to each team and organization—as well as common themes that apply to broad swaths of the market.

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25+ Tableau Interview Questions

Analytics Vidhya

Introduction Tableau is a powerful data visualization tool that allows users to analyze and present data interactively and meaningfully. It helps businesses make data-driven decisions by providing easy-to-understand insights and visualizations. In this article, we will explore some 25+ Tableau interview questions and provide detailed answers to help you prepare for your next Tableau interview. […] The post 25+ Tableau Interview Questions 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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Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

This post is written in collaboration with Claudia Chitu and Spyridon Dosis from ACAST. Founded in 2014, Acast is the world’s leading independent podcast company, elevating podcast creators and podcast advertisers for the ultimate listening experience. By championing an independent and open ecosystem for podcasting, Acast aims to fuel podcasting with the tools and monetization needed to thrive.

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7 Steps to Landing Your First Data Science Job

KDnuggets

Want to make a successful career switch to data science? From learning data science concepts to cracking interviews, read this guide to move one step closer to your first data science job.

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6 signs you might need an executive coach — and 2 signs you don’t

CIO Business Intelligence

IT leaders are more integral to a company’s business success than ever and that brings pressure to expand their roles, better understand and collaborate with the business, and launch major initiatives. To master the various aspects of leadership, it’s often helpful to get professional help. That’s where executive coaching comes into play. As technical people move up the ranks, going from coders and admins to managers to CIOs, they need to learn how to do a lot more than build great software, con

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Automated Fine-Tuning of LLAMA2 Models on Gradient AI Cloud

Analytics Vidhya

Introduction Welcome to the world of Large Language Models (LLM). In the old days, transfer learning was a concept mostly used in deep learning. However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP). This paper explored models using fine-tuning and transfer learning.

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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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Networks unchained: the shift toward intent-based autonomous operations

IBM Big Data Hub

Telecommunications industry, a cornerstone of global connectivity, has been going through a technological renaissance for some time, driven by innovations such as 5G, IoT, cloud computing and AI. As a result, networks have become increasingly hard to manage. There is a need for automation to handle routine tasks, monitor network health and respond to issues in real-time.

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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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UAE President announces the establishment of the AI and Advanced Technology

CIO Business Intelligence

The Ruler of Abu Dhabi, HH Sheikh Mohamed, has unveiled the Artificial Intelligence and Advanced Technology Council. This move highlights the UAE’s commitment to embracing technological advancements and promoting innovation. The AIATC will play a crucial role in shaping the future of the country’s digital landscape, paving the way for a more efficient and sustainable future.

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How can I Manipulate Python List Elements Using Indexing?

Analytics Vidhya

Introduction Python lists serve as versatile data structures, allowing the storage and manipulation of collections of items. Among their most powerful features is the ability to access and modify individual elements using index values. This article explores various techniques and methods for efficient list indexing in Python, covering fundamental concepts, advanced techniques, and optimization strategies. […] The post How can I Manipulate Python List Elements Using Indexing?

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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.