Sat.Sep 16, 2023 - Fri.Sep 22, 2023

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Structural Evolutions in Data

O'Reilly on Data

I am wired to constantly ask “what’s next?” Sometimes, the answer is: “more of the same.” That came to mind when a friend raised a point about emerging technology’s fractal nature. Across one story arc, they said, we often see several structural evolutions —smaller-scale versions of that wider phenomenon. Cloud computing?

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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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Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream. Complaints from dissatisfied customers and apathetic data providers only add to the mounting stress.

Testing 182
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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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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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Python in Excel: This Will Change Data Science Forever

KDnuggets

You can now run Python code in Excel to analyze data, build machine learning models, and create visualizations.

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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.

More Trending

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15 Ways to Use ChatGPT for Marketing

Analytics Vidhya

Marketing is a very dynamic sector where one really struggles to stay ahead of the curve. There is a compelling urge and a need to compete or beat business rivals to attain success. Maintaining success is as crucial as attaining it. ChatGPT can be your ticket to success, a gift of technology in today’s fast-paced, […] The post 15 Ways to Use ChatGPT for Marketing appeared first on Analytics Vidhya.

Marketing 363
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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.

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ON DEMAND WEBINAR: Automated Test Generation – Why Data Teams Need It

DataKitchen

This webinar discusses how to make embarrassing data errors a thing of the past. We will start with how data engineers do not understand their data and have difficulty identifying problematic data records. We will also discuss how the vast majority of data engineers are so busy that they don’t know, or have time to write, tests to write to find data errors.

Testing 130
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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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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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Exploring Diffusion Models in NLP Beyond GANs and VAEs

Analytics Vidhya

Introduction Diffusion Models have gained significant attention recently, particularly in Natural Language Processing (NLP). Based on the concept of diffusing noise through data, these models have shown remarkable capabilities in various NLP tasks. In this article, we will delve deep into Diffusion Models, understand their underlying principles, and explore practical applications, advantages, computational considerations, relevance […] The post Exploring Diffusion Models in NLP Beyond GANs

Modeling 357
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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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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 126
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Mastercard preps for the post-quantum cybersecurity threat

CIO Business Intelligence

The ecosystem of digital payments is a sitting duck. The billions of transactions we conduct online today are protected by what are called public-key encryption technologies. But as quantum computers become more powerful, they will be able to break these cryptographic algorithms. Such a cryptographically relevant quantum computer (CRQC) could deliver a devastating impact to global cybersecurity protocols.

Testing 138
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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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Bias Mitigation in Generative AI

Analytics Vidhya

Introduction In today’s world, generative AI pushes the boundaries of creativity, enabling machines to craft human-like content. Yet, amidst this innovation lies a challenge – bias in AI-generated outputs. This article delves into “Bias Mitigation in Generative AI.” We’ll explore the types of bias, from cultural to gender, and understand the real-world impacts they can […] The post Bias Mitigation in Generative AI appeared first on Analytics Vidhya.

Analytics 358
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Ensemble Learning Techniques: A Walkthrough with Random Forests in Python

KDnuggets

A practical walkthrough for random forests in Python.

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NIST 800-171 Safeguards Help Non-Federal Networks Handling CUI

Smart Data Collective

Today, there is a pressing need for non-federal networks to utilize efficient cybersecurity measures to protect the controlled unclassified information (CUI). CUI is delicate yet unclassified government information involving matters like military equipment specifications. Although this information is unclassified, unauthorized access can have extreme economic and national security implications.

Risk 116
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The ‘Great Retraining’: IT upskills for the future

CIO Business Intelligence

Maggie Chavarin is no stranger to reinventing her career. She joined Synchrony more than a decade ago in a Merchants Services role that allowed her to be a work-from-home mom. When the timing was right, Chavarin honed her skills to do training and coaching work and eventually got her first taste of technology as a member of Synchrony’s intelligent virtual assistant (IVA) team, writing human responses to the text-based questions posed to chatbots.

IT 136
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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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The Creative Potential of Normalizing Flows in Generative AI

Analytics Vidhya

Introduction Generative AI, with its remarkable ability to create data that closely resembles real-world examples, has garnered significant attention in recent years. While models like GANs and VAEs have stolen the limelight, a lesser-known gem called “Normalizing Flows” in generative AI has quietly reshaped the generative modeling landscape.

Modeling 355
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Hands-On with Supervised Learning: Linear Regression

KDnuggets

If you're looking for a hands-on experience with a detailed yet beginner-friendly tutorial on implementing Linear Regression using Scikit-learn, you're in for an engaging journey.

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Does Data Mining Really Help with White Label SEO?

Smart Data Collective

Big data technology has disrupted the marketing profession in countless ways. Therefore, it should be no surprise that the marketing analytics market size is projected to double from $3.2 billion in 2021 to $6.4 billon by 2026. This is especially true when it comes to SEO. We have talked extensively about the benefits of data analytics in SEO. It can be especially helpful with white label SEO.

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5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

CIOs are under increasing pressure to deliver more digital innovations faster and more efficiently. Business leaders expect IT to develop new products, improve customer experiences, automate workflows, and deliver new artificial intelligence capabilities. To do so, CIOs must continuously improve their product management, program management, and delivery capabilities to wow customers and deliver competitive advantages, all while steering clear of surefire DX mistakes such as prioritizing too many

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Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

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How Generative AI Transforms The Craft of Narration?

Analytics Vidhya

Introduction Since time immemorial, stories have captivated our hearts and minds with storylines that elicit emotions, stimulate creativity, and reveal important messages. But what if we could imagine that, thanks to the power of AI, we can now go beyond the limits of human storytelling and allow AI to co-author our stories? In this article, […] The post How Generative AI Transforms The Craft of Narration?

Analytics 353
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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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7 Major IT Infrastructure Challenges for Data-Driven Companies

Smart Data Collective

Big data technology has been a huge gamechanger for countless companies in every sector. Around 60% of companies rely heavily on data analytics technology to meet their goals. However, despite, the many benefits of big data technology, many companies still have difficulty implementing it properly. Only 13% of companies that have instituted data strategies are delivering on them.

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Analyzing the business-case approach Perdue Farms takes to derive value from data

CIO Business Intelligence

Martha Heller: What is the transformation currently underway at Perdue Farms? Mark Booth: We have a growth strategy to improve our business, and to support that, we’re driving a transformation in technology and business processes. We’ve been replacing our old systems, some of which are more than 20 years old, and this has been going very well. But the more challenging work is in making our processes as efficient as possible so we capture the right data in our desire to become a more data-driven

Data Lake 135
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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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Top 20 Data Engineering Project Ideas [With Source Code]

Analytics Vidhya

Data engineering plays a pivotal role in the vast data ecosystem by collecting, transforming, and delivering data essential for analytics, reporting, and machine learning. Aspiring data engineers often seek real-world projects to gain hands-on experience and showcase their expertise. This article presents the top 20 data engineering project ideas with their source code.

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Top 5 Free Alternatives to GPT-4

KDnuggets

Think GPT-4 is a big deal? These Generative AI newbies are already stealing the show!

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4 Ways AI Can Improve Your Marketing Strategy

Smart Data Collective

AI technology is rapidly changing the state of business. Last year, around 35% of businesses reported using AI to some degree. This figure is going to rise sharply as more companies discover the benefits of using various AI tools such as ChatGPT. AI seems to be popping up in all sorts of places, including in marketers’ toolkits. We talked extensively about some of the benefits of using AI in marketing before.

Marketing 113
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The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

The advent of gen AI changed everything, and the pace of that change is like nothing we’ve seen before. The potential impacts are reminiscent of the dawn of the Internet, and are likely to be just as transformative for businesses. According to McKinsey, gen AI is poised to add up to an annual $4.4 billion to the global economy. AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in

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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.