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.

Analytics 228
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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.

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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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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionzing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs. Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for

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Platform CO2 emissions down 68% in first year as a B Corp

Phocas

Phocas leads the charge towards a more equitable and sustainable future during its first year as a B Corp, setting the bar high for tech companies globally.

IT 130
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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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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 298
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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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Backup Practices Could Cost You

Laminar Security

Do you know the data risks of your regular backup practices? Have you thought of the potential security ramifications of manual database dumps or S3 replication? If not, and even if you have, this is the post for you. I’ve previously discussed the risk of shadow data (those data stores you didn’t even know you had), and the team specifically dove into how versioning (a feature used to protect from accidental deletion) can unintentionally create shadow data.

Risk 136
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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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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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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 294
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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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Generative AI as a catalyst for change in the telecommunications industry

IBM Big Data Hub

Generative artificial intelligence (AI) burst into the mainstream in 2023, lighting a fire under businesses to integrate enterprise-grade versions into their processes. By 2024, 60% of C-suite executives are planning to pilot or operate generative AI in some way, indicating that generative AI’s public-facing platforms have awakened the world to its groundbreaking capabilities For Communications Service Providers (CSPs) and Network Equipment Providers (NEPs), in particular, generative AI ho

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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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How to Deliver a Modern Data Experience Your Customers Will Love

In embedded analytics, keeping up with the pace of innovation is challenging. Download Qrvey's guide to ensure your analytics keep pace so you can solve your user's biggest challenges, delight them, and set your product apart from the competition. The guide outlines how to use embedded analytics to: Increase user satisfaction Go to market faster Create additional opportunities to monetize your product It also shares what to look for to ensure your embedded analytics are keeping up with the lates

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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 288
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Oracle updates Fusion Cloud suites to aid healthcare firms

CIO Business Intelligence

Oracle has updated several applications within its various Fusion Cloud suites in order to align them toward supporting use cases for its healthcare enterprise customers. These updates, which include changes to multiple applications within its Enterprise Resource Planning (ERP), Human Capital Management (HCM), Enterprise Performance Management (EPM), and Supply Chain and manufacturing (SCM) Fusion Clouds, are expected to help healthcare enterprises unify operations and improve patient care, Orac

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IBM TechXchange underscores the importance of AI skilling and partner innovation

IBM Big Data Hub

Generative AI and large language models are poised to impact how we all access and use information. But as organizations race to adopt these new technologies for business, it requires a global ecosystem of partners with industry expertise to identify the right enterprise use-cases for AI and the technical skills to implement the technology. During TechXchange , IBM’s premier technical learning event in Las Vegas last week, IBM Partner Plus members including our Strategic Partners, reseller

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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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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. You’ll learn about use cases, technology and deployment options, top ten evaluation criteria and more.

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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 286
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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.

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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 114
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iFoodDS and IBM forge new path to food safety with IBM Food Trust™

IBM Big Data Hub

Picture this: You’re at your local supermarket, eagerly exploring the fresh produce section. You carefully select a carton of ripe, juicy fresh-cut strawberries, envisioning them as the star ingredient in your weekend’s mouthwatering desserts. You’re all set to enjoy a delightful culinary adventure. But as you savor your first bite of a luscious strawberry shortcake, you receive a notification on your smartphone.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are le

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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 286
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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 127
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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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What can AI and generative AI do for governments?

IBM Big Data Hub

Few technologies have taken the world by storm the way artificial intelligence (AI) has over the past few years. AI and its many use cases have become a topic of public discussion no longer relegated to tech experts. AI—generative AI, in particular—has tremendous potential to transform society as we know it for good, boost productivity and unlock trillions in economic value in the coming years.

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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.

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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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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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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.

Modeling 114
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Spear phishing vs. phishing: what’s the difference?

IBM Big Data Hub

The simple answer: spear phishing is a special type of phishing attack. Phishing is any cyberattack that uses malicious email messages, text messages, or voice calls to trick people into sharing sensitive data (e.g., credit card numbers or social security numbers), downloading malware, visiting malicious websites, sending money to the wrong people, or otherwise themselves, their associates or their employers.

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How Intent Data Helps Marketers Convert A-List Accounts

One of the biggest challenges for any B2B marketer is understanding your prospects’ next move — who is most likely to buy and when. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return. We’re here to tell you there’s a better way. By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates.