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Stability AI Launches Stable Artisan with New Image Generation and Editing Tools

Analytics Vidhya

Stability AI has unveiled Stable Artisan, a new addition to its Discord channel, enabling seamless media generation and editing. This innovative Discord bot integrates cutting-edge AI models, empowering users to craft high-quality images and videos effortlessly. Let’s delve into the game-changing features and functionalities of Stable Artisan.

Modeling 279
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The Five Use Cases in Data Observability: Overview

DataKitchen

Harnessing Data Observability Across Five Key Use Cases The ability to monitor, validate, and ensure data accuracy across its lifecycle is not just a luxury—it’s a necessity. Data observability extends beyond simple anomaly checking, offering deep insights into data health, dependencies, and the performance of data-intensive applications. This blog post introduces five critical use cases for data observability, each pivotal in maintaining the integrity and usability of data throughout its journe

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DataKitchen Training And Certification Offerings

DataKitchen

DataKitchen Training And Certification Offerings For Individual contributors with a background in Data Analytics/Science/Engineering Overall Ideas and Principles of DataOps DataOps Cookbook (200 page book over 30,000 readers, free): DataOps Certificatio n (3 hours, online, free, signup online): DataOps Manifesto (over 30,000 signatures) One Day DataOps training (paid) Data Observability (the first step in DataOps) I deas and Principles of Data Observability Four-part Da

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Google Expands AI Capabilities at Cloud Next ’24

David Menninger's Analyst Perspectives

The artificial intelligence (AI) market is exploding with activity, which is part of the reason we recently announced that we have dedicated an entire practice at Ventana Research to the topic. Large language models (LLMs) and generative AI (GenAI) have taken the AI world by storm. In fact, we assert that through 2026, one-half of all AI investments will be based on generative rather than predictive AI.

Finance 130
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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10 IT skills where expertise pays the most

CIO Business Intelligence

The list of highest-paying IT skills is always shifting as technology evolves, but some skills have consistently maintained earning power for IT pros over the years. And while several factors impact one’s salary, such as tenure, experience, and location, expert-level competency comes at a higher premium for some skills versus others. Data from the Dice 2024 Tech Salary Report shows that, for certain IT skills, organizations are willing to pay more to hire experts than IT pros with strong compe

IT 126
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A Roadmap to Machine Learning Algorithm Selection

KDnuggets

The goal of this article is to help demystify the process of selecting the proper machine learning algorithm, concentrating on "traditional" algorithms and offering some guidelines for choosing the best one for your application.

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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Beyond artificial intelligence (AI) , deep learning drives many applications that improve automation , including everyday products and services like digital assistants, voice-enabled consumer electronics, credit card fraud detection and more.

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Essential skills and traits of chief AI officers

CIO Business Intelligence

The rapid rise of artificial intelligence — especially generative AI — is prompting many organizations to hire or promote a chief AI officer (CAIO). To date, many of these positions are with technology vendors or at government entities in the wake of recent AI mandates. But the ranks of the CAIO are expected to increase at enterprise organizations as well in the coming years.

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Free AI Courses from NVIDIA: For All Levels

KDnuggets

Want to build cool AI applications? Start learning AI today with these free courses from NVIDIA.

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How to Learn Python? [Step-by Step Guide]

Analytics Vidhya

Introduction Acquiring knowledge Python provides a variety of options for programmers, regardless of skill level. It is rewarding and pleasant with its simple syntax and large library ecosystem. You can make a lot of different kinds of applications with Python, from simple python code to difficult software packages. This guide provides resources, pointers, and guidance […] The post How to Learn Python?

Software 282
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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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The Five Use Cases in Data Observability: Ensuring Data Quality in New Data Source

DataKitchen

The Five Use Cases in Data Observability: Ensuring Data Quality in New Data Sources (#1) Introduction to Data Evaluation in Data Observability Ensuring their quality and integrity before incorporating new data sources into production is paramount. Data evaluation serves as a safeguard, ensuring that only cleansed and reliable data makes its way into your systems, thus maintaining the overall health of your data ecosystem.

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Chart Snapshot: Box-Percentile Plots

The Data Visualisation Catalogue

The Box-Percentile Plot was developed by Warren W. Esty and Jeffrey D. Banfield in their 2003 paper The Box-Percentile Plot. It is considered an improvement over the traditional Box Plot as it provides a more informative display of the data distribution shape, especially for skewed or multimodal data, while still being a compact visualisation. Box-Percentile Plots display the same summary statistics as regular Box Plots (median, quartiles, minimum, and maximum), but instead use line markers on a

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Innovating Services for a Digital, Intelligent Future

CIO Business Intelligence

Digital transformation remains top of mind worldwide. According to Foundry’s State of the CIO 2024 study, technology leaders will be focused on driving digital innovation, redesigning processes, and modernising infrastructure and apps in the next three years in order to stay ahead. At the same time, Artificial Intelligence (AI) is quickly becoming recognised as a keystone for future growth.

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A Comprehensive Guide to Essential Tools for Data Analysts

KDnuggets

Data analyst tools encompass programming languages, spreadsheets, BI, and big data tools. Here are 9ish tools that cover all the tasks of data analysts well.

Big Data 108
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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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Google DeepMind’s New AI Model Can Create Life!

Analytics Vidhya

Google DeepMind has just unveiled AlphaFold 3, a revolutionary AI model redefining biomolecular modeling. Unlike its predecessors, AlphaFold 3 extends its modeling skills beyond proteins. This new model is capable of generating DNA, RNA, and smaller molecules known as ligands. Its breakthrough technology promises to accelerate advancements across various scientific disciplines.

Modeling 277
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The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring

DataKitchen

The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring (#2) Introduction Ensuring the accuracy and timeliness of data ingestion is a cornerstone for maintaining the integrity of data systems. Data ingestion monitoring, a critical aspect of Data Observability, plays a pivotal role by providing continuous updates and ensuring high-quality data feeds into your systems.

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IBM Mainframe Skills Council brings the global community together to grow mainframe talent

IBM Big Data Hub

The global economy runs on transactions, and 70% of transactions by value run through an IBM Z® mainframe. Many of the world’s largest enterprises rely on IBM Z to support their core business, and by a process of continued innovation, IBM Z brings industry-first technologies to our clients with each new generation. Modern mainframe skills are critical as businesses implement AI, modernize their applications, integrate across the enterprise and continue digital transformation.

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Strong CIO-CISO relations fuel success at Ally

CIO Business Intelligence

Technology has enabled Ally Financial to move at the speed of customers, embrace and drive disruptions, and see around corners to anticipate and stay ahead of trends. Helping lead the continual evolution of the nation’s largest all-digital bank are two award-winning technology executives: Sathish Muthukrishnan, Ally’s chief information, data, and digital officer, and Donna Hart, the company’s CISO.

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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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Ollama Tutorial: Running LLMs Locally Made Super Simple

KDnuggets

Want to run large language models on your machine? Learn how to do so using Ollama in this quick tutorial.

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Build ATS Friendly Resume Using Overleaf and ChatGPT for Big 4s

Analytics Vidhya

Introduction Do you have the experience and skills to get your dream job in companies like Bain & Company, BCG, or McKinsey but cannot pass the screening process with your current resume? If yes, then you are not alone! Want to know why you are unable to pass the first hurdle? These companies automate resume […] The post Build ATS Friendly Resume Using Overleaf and ChatGPT for Big 4s appeared first on Analytics Vidhya.

Analytics 262
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The Five Use Cases in Data Observability: Mastering Data Production

DataKitchen

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs. This blog explores the third of five critical use cases for Data Observability and Quality Validation—data Production—highlighting how DataKitchen’s Open-Source Data Observability solutions empower organizations to manage this critical s

Testing 100
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Unlocking business value: Maximizing returns from your SAP investments

IBM Big Data Hub

Amid the dynamic realms of modern business and technology, organizations seek to maintain a competitive edge and elevate business outcomes and user experiences through their SAP investments. The crux of this endeavor lies in fostering continuous value creation throughout the journey. Drawing from my experience with clients across expansive, multi-year SAP engagements, there are three areas where collaborative value creation and charting future roadmaps intertwine seamlessly. 1.

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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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TIAA modernizes the customer journey with AI

CIO Business Intelligence

Customer experience is a key pillar of TIAA’s mission to help employees of nonprofit institutions achieve their retirement goals. And just as retirement decisions can be complex, so too can be easing customer journeys, from contributions to investment decisions to beneficiary designations and more. Achieving end-to-end visibility — in real-time — into these journeys, some of which involve highly customized legacy contracts typical of a 100-year-old company, would enable TIAA to better serve its

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5 Free Stanford AI Courses

KDnuggets

Want to learn more about Artificial Intelligence? These five courses from Stanford will help you kickstart that journey.

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LLMs Get a Speed Boost: New Tech Makes Them BLAZING FAST!

Analytics Vidhya

Introduction Large Language Models (LLMs) are crucial in various applications such as chatbots, search engines, and coding assistants. Enhancing LLM inference efficiency is vital due to the significant memory and computational demands during the ‘decode’ phase of LLM operations, which handles token processing one at a time per request. Batching, a key technique, helps manage […] The post LLMs Get a Speed Boost: New Tech Makes Them BLAZING FAST!

Modeling 261
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The Five Use Cases in Data Observability: Fast, Safe Development and Deployment

DataKitchen

The Five Use Cases in Data Observability: Fast, Safe Development and Deployment (#4) Introduction The integrity and functionality of new code, tools, and configurations during the development and deployment stages are crucial. This blog post delves into the third critical use case for Data Observation and Data Quality Validation: development and Deployment.

Testing 100
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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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We’ll See You at the Gartner Data and Analytics Summit

Cloudera

The Gartner Data and Analytics Summit in London is quickly approaching on May 13 th to 15 th , and the Cloudera team is ready to hit the show floor! The theme of this year’s summit, “Generating Value Together: Creating Synergies between Data, Analytics & AI,” could not have come at a better time as we push forward on our AI and analytics journey together.

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SAP forecasts clarity in the cloud

CIO Business Intelligence

Martin Bayer: At the moment, user companies are still hesitant to adopt cloud computing, but also SAP’s RISE and GROW programs, especially in Germany. Last year’s message that certain core innovations would only be offered in the cloud has also caused some resentment among users. How do you want to take your customers with you on their journey? Christian Klein: I understand there’s some reluctance among [German-speaking SAP user group] DSAG and some other customers to embrace the cloud.

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Chart Snapshot: Trail Bubble Charts

The Data Visualisation Catalogue

Also known as an Impact Bubble Chart. A Trail Bubble Chart is a variation of a regular Bubble Chart that shows the progression of data points over time by displaying bubbles with (typically) lighter trailing bubbles. This kind of visualisation is useful for printed visualisations, where the animation of the bubbles over time is not an option. Trail Bubble Charts allow for the visualisation of a category’s trajectory over time between three different variables (assigned for X, Y, and bubble size)

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5-Step Guide to Automate Data Cleaning in Python

Analytics Vidhya

Introduction Data cleaning is crucial for any data science project. The collected data has to be clean, accurate, and consistent for any analytical model to function properly and give accurate results. However, this takes up a lot of time, even for experts, as most of the process is manual. Automating data cleaning can speed up […] The post 5-Step Guide to Automate Data Cleaning in Python appeared first on Analytics Vidhya.

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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