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 169
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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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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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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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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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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 335
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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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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 119
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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 330
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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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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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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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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.

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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 322
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Feature Store Summit 2023: Practical Strategies for Deploying ML Models in Production Environments

KDnuggets

On October 11th, 2023 the Feature Store Summit will bring together leading ML companies, such as Uber, WeChat and more, for in-depth discussions about data and AI.

Strategy 131
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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 131
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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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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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 322
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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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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 130
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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.

Software 108
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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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GenAI in Fashion | A Segmind Stable Diffusion XL 1.0 Approach

Analytics Vidhya

Introduction The fashion industry has not been left out and has been looking for ways to stay at the forefront of innovation to meet consumers’ ever-changing tastes and preferences. If you are into fashion or are a fashion freak, you should consider the capability of stable diffusers. The Segmind API makes this possibility too easy. […] The post GenAI in Fashion | A Segmind Stable Diffusion XL 1.0 Approach appeared first on Analytics Vidhya.

Analytics 322
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KDnuggets News, September 20: Python in Excel: This Will Change Data Science Forever • New KDnuggets Survey!

KDnuggets

Python in Excel: This Will Change Data Science Forever • KDnuggets Survey: Benchmark With Your Peers On Data Science Spend & Trends 2023 H2 • 5 Best AI Tools For Maximizing Productivity • And much more!

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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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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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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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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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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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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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Embracing Data Mesh: A Modern Approach to Data Management

Data Virtualization

Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized data architectures. This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle. The post Embracing Data Mesh: A Modern Approach to Data Management appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Informatio

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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. ♻️ Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene