September, 2023

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The 5 Stages of Your Data Analytics Journey

TDAN

Harnessing the power of data has become critical in today’s digital age when information is abundant and decision-making is critical in many aspects of business. Understanding your data may unearth hidden insights and move your business ahead, whether you’re a small startup or an established enterprise.

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The Real Problem with Software Development

O'Reilly on Data

A few weeks ago, I saw a tweet that said “Writing code isn’t the problem. Controlling complexity is.” I wish I could remember who said that; I will be quoting it a lot in the future. That statement nicely summarizes what makes software development difficult. It’s not just memorizing the syntactic details of some programming language, or the many functions in some API, but understanding and managing the complexity of the problem you’re trying to solve.

Software 304
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Green Data Centers Make Data-Driven Entities More Sustainable

Smart Data Collective

The proliferation of big data has had a huge impact on modern businesses. We have a post on some of the industries that have been most affected by big data. However, it has also created some concerns about sustainability. Of course, there are some reasons big data can help make our communities more sustainable. On the other hand, data centers have large carbon footprints, so companies need to find ways to make them more energy efficient.

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5 Free Data Science Projects With Solutions

Analytics Vidhya

Introduction Are you eager to dive into data science and sharpen your skills? Look no further! This article will explore five exciting data science projects with step-by-step solutions. Whether you’re a novice looking to learn or an experienced data enthusiast seeking to expand your portfolio, these hands-on free data science projects will empower you to […] The post 5 Free Data Science Projects With Solutions appeared first on Analytics Vidhya.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Altair Accelerates Data Analytics with RapidMiner

David Menninger's Analyst Perspectives

Organizations are continuously combining data from diverse and siloed sources for analytical, artificial intelligence and machine learning projects. As the volume of data grows, it becomes challenging for organizations to manage and keep current to extract valuable insights in a timely manner.

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Getting Started with Scikit-learn in 5 Steps

KDnuggets

This tutorial offers a comprehensive hands-on walkthrough of machine learning with Scikit-learn. Readers will learn key concepts and techniques including data preprocessing, model training and evaluation, hyperparameter tuning, and compiling ensemble models for enhanced performance.

More Trending

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Build event-driven architectures with Amazon MSK and Amazon EventBridge

AWS Big Data

Based on immutable facts (events), event-driven architectures (EDAs) allow businesses to gain deeper insights into their customers’ behavior, unlocking more accurate and faster decision-making processes that lead to better customer experiences. In EDAs, modern event brokers, such as Amazon EventBridge and Apache Kafka, play a key role to publish and subscribe to events.

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Introducing the LLM Mesh: A Common Backbone for Generative AI Applications

Dataiku

As more and more organizations experiment with Generative AI and deploy it in production, a crucial question emerges: Can these applications be both safe and scalable in an enterprise context? The answer is yes, via the LLM Mesh — a common backbone for Generative AI applications that promises to reshape how analytics and IT teams securely access Generative AI models and services.

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Machine Learning Experiment Tracking Using MLflow

Analytics Vidhya

Introduction The area of machine learning (ML) is rapidly expanding and has applications across many different sectors. Keeping track of machine learning experiments using MLflow and managing the trials required to construct them gets harder as they get more complicated. This can result in many problems for data scientists, such as: Given the above challenges, […] The post Machine Learning Experiment Tracking Using MLflow appeared first on Analytics Vidhya.

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Reversing the ETL Process Improves Data Operations

David Menninger's Analyst Perspectives

At one point, analytics and business intelligence were considered non-mission critical activities. One of the primary concerns in designing analytics systems was to ensure they didn’t interfere with or draw computing resources away from operational systems. But today, analytical systems are integral to many aspects of operations. More than 9 in 10 participants in our Analytics and Data Benchmark Research reported analytics had improved activities and processes.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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10 ChatGPT Projects Cheat Sheet

KDnuggets

KDnuggets' latest cheat sheet covers 10 curated hands-on projects to boost data science workflows with ChatGPT across ML, NLP, and full stack dev, including links to full project details.

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Oracle’s Fusion Cloud CX, ERP, and SCM get generative AI features

CIO Business Intelligence

Just months after partnering with large language model-provider Cohere and unveiling its strategic plan for infusing generative AI features into its products, Oracle is making good on its promise at its annual CloudWorld conference this week in Las Vegas. Nearly all of Oracle’s Fusion Cloud suites — including Cloud Customer Experience (CX), Human Capital Management (HCM), Enterprise Resource Planning (ERP) and Supply Chain Management (SCM) — are being updated with the company’s Oracle Cloud Infr

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Mainframe and the cloud? It’s easy with open source

IBM Big Data Hub

This is part four in a five-part series on mainframe modernization. The secret to mainstreaming the mainframe into today’s modern, cloud-centric IT environments is to make the experience of working with the mainframe like the experience of working off the mainframe—especially the developer experience (DX). Historically, working on the mainframe was an entirely different experience from the distributed world.

Software 126
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IoT And Cloud Integration is the Future!

Smart Data Collective

In the last decade, we’ve observed an immense surge in technological advancements. From smart homes to wearables, cars to refrigerators, the Internet of Things (IoT) has successfully penetrated every facet of our lives. But have you ever wondered what makes all this possible? What powers these devices to become more intelligent, responsive, and adaptable?

IoT 116
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Mastering Transfer Learning: A Rock-Paper-Scissors Case Study

Analytics Vidhya

Introduction In the world of artificial intelligence, imagine a learning technique that enables machines to build upon their existing knowledge and tackle new challenges with expertise. This unique technique is called transfer learning. In recent years, we’ve witnessed an expansion in the capabilities and applications of generative models. We can use transfer learning to simplify […] The post Mastering Transfer Learning: A Rock-Paper-Scissors Case Study appeared first on Analytics Vi

Modeling 373
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Threads Dev Interview 9: @hi.im.vijay

Data Science 101

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. “It’s [Web Development] constantly changing, which can be exhausting at times but also fun to keep up with the latest innovations.” — Vijay Pemmaraju (@hi.im.vijay) on Threads We can start out by talking about web development.

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Top 7 Free Cloud Notebooks for Data Science

KDnuggets

Cloud notebooks are game-changers for data science, providing free access to computing, pre-built environments, collaboration features, and third-party integrations - everything you need to enhance your workflow.

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10 most in-demand generative AI skills

CIO Business Intelligence

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams. Analyzing the hiring behaviors of companies on its platform, freelance work marketplace Upwork has AI to be the fastest growing category for 2023, noting that posts for generative AI jobs increased more

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Generative AI: Meet your partner in customer service

IBM Big Data Hub

Brands that deliver an excellent customer experience (CX) will always be more resilient than those that don’t. Giving our customers personalized support at every stage of their journey is proven to earn their longtime loyalty—and keep them from switching to a competitor. The challenge, however, is that many teams operate in siloes that inhibit them from applying their customer insights in meaningful ways.

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4 Common Misconceptions Surrounding IoT Cybersecurity Compliance

Smart Data Collective

If you’re a manufacturer of IoT devices, you see compliance as something that keeps pushing product release deadlines further in the future. If you’re a cybersecurity professional, who knows that there are too many IoT devices within an infrastructure of a business to count, IoT security is something that keeps you up at night. If you’re a consumer, you might not even know that your new smart TV or refrigerator can put your data at risk.

IoT 110
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A Beginners Guide to LLMOps For Machine Learning Engineering 

Analytics Vidhya

Introduction The release of OpenAI’s ChatGPT has inspired a lot of interest in large language models (LLMs), and everyone is now talking about artificial intelligence. But it’s not just friendly conversations; the machine learning (ML) community has introduced a new term called LLMOps. We have all heard of MLOps, but what is LLMOps? Well, it’s […] The post A Beginners Guide to LLMOps For Machine Learning Engineering appeared first on Analytics Vidhya.

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The Coolest Watch for any Dev or Data Scientist

Data Science 101

Who needs a Smart Watch when you can have one of these? The Casio Calculator Watch has changed none since the 1990s. It can still master all your elementary school math tests. Rumor is: you can launch space shuttles and rockets with the right combination of button presses. Always be the most interesting person in the room! Purchase with the link below.

Testing 111
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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Hands-On with Unsupervised Learning: K-Means Clustering

KDnuggets

This tutorial provides hands-on experience with the key concepts and implementation of K-Means clustering, a popular unsupervised learning algorithm, for customer segmentation and targeted advertising applications.

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6 IT rules worth breaking — and how to get away with it

CIO Business Intelligence

There comes a time in every IT leader’s life when a key decision must be made: whether to follow an established rule or, as a matter of necessity, break precedent and embark on an alternate course. Management rules typically exist to enable faultless decision-making, set a foundation for consistent operation, and provide protection from risk, observes Ola Chowning, a partner at global technology research and advisory firm ISG.

IT 141
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Data is essential: Building an effective generative AI marketing strategy

IBM Big Data Hub

Generative AI is powering a new world of creative, customized communications, allowing marketing teams to deliver greater personalization at scale and meet today’s high customer expectations. The potential of this powerful new tool spans the entire end-to-end marketing process, from internal communications and productivity to customer-facing channels and product support.

Marketing 119
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How Good Leaders Keep Data in Perspective

Smart Data Collective

Increasingly, our world has become obsessed with data. Companies everywhere want to know who their customers are, how they behave, how they make purchasing decisions, and how they can be persuaded. In some ways, this concept is nothing new. Entrepreneurs, innovators, and creatives have always benefited from doing research and better understanding their business environments.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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How to Become a Supply Chain Analyst in 2023?

Analytics Vidhya

Introduction In a world where laptops travel thousands of miles before reaching your doorstep and your favorite restaurant’s secret ingredient arrives from afar, the global supply chain orchestrates this intricate dance of goods and services. The supply chain analysts emerge as the unsung heroes, navigating these challenges to ensure products reach consumers seamlessly.

Analytics 370
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Complete Guide of Quantum Computing Resources

Data Science 101

Quantum Computing is starting to gain attention in the developer world and startup circles. Here is a large listing of resources for learning about quantum computing. Quantum Computing Books Quantum Computing Progress and Prospects – free to read online Introduction to Classical and Quantum Computing – free PDF download Quantum Computing Courses Quantum Computing Foundations – from Microsoft Learn, focuses on Azure Quantum and Q# IBM Quantum Learning Quantum 101 Quantum Computa

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A Comparative Overview of the Top 10 Open Source Data Science Tools in 2023

KDnuggets

Are you looking for the open source tools to help you in your data science journey? Look no further. Discover these game-changers that will elevate your data-driven decisions.

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12 most popular AI use cases in the enterprise today

CIO Business Intelligence

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. To gain a better understanding of how companies are putting AI to practical use, consultancy Deloitte surveyed 2,620 global business leaders, across 13 countries, as par

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Innovation Systems: Advancing Practices to Create New Value

As technology transforms the global business landscape, companies need to examine and update their internal processes for innovation to keep pace. Ultimately, organizations will have to improve the velocity of innovation by creating repeatable processes that support ideation, exploration, and incubation, essential to capturing an idea’s full value.