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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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:

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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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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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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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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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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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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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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution. By the end, you'll understand what to look for, the most common mistakes and pitfalls to avoid, and your options.

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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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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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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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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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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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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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KDnuggets News, January 24: 5 Free University Courses to Learn Data Science • Convert Unstructured Data into Structured Insights with LLMs

KDnuggets

This week on KDnuggets: Here are five free university courses to help you get started in a data science career • Understand the unstructured data dilemma • And much, much more!

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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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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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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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Balancing AI: Do good and avoid harm

IBM Big Data Hub

Growing up, my father always said, “do good.” As a child, I thought it was cringeworthy grammar and I would correct him, insisting it should be “do well.” Even my children tease me when they hear his “do good” advice and I’ll admit I let him have a pass on the grammar front. In the case of responsible artificial intelligence (AI), organizations should prioritize the ability to avoid harm as a central focus.

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Powering Up with Predictive GenAI

KDnuggets

Learn what Predictive GenAI does and how it can make predictive analytics far more accessible, efficient, and meaningful for your business.

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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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Deliver Mission Critical Insights in Real Time with Data & Analytics

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.

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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 to Build Your First Predictive Machine Learning Model

Dataiku

In the first article of this three-part series, we highlighted preparing a dataset for machine learning (ML), which included data cleaning, feature selection, and feature handling and engineering. Now that the prep work is out of the way, we’re back to dive into actually building the model and evaluating it. We’ll cover interpreting the model in the next and last article of the series.

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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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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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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.