Sat.Jul 29, 2023 - Fri.Aug 04, 2023

article thumbnail

7 Steps to Mastering Data Cleaning and Preprocessing Techniques

KDnuggets

Are you trying to solve your first data science project? This tutorial will help you to guide you step by step to prepare your dataset before applying the machine learning model.

article thumbnail

Empower your Jira data in a data lake with Amazon AppFlow and AWS Glue

AWS Big Data

In the world of software engineering and development, organizations use project management tools like Atlassian Jira Cloud. Managing projects with Jira leads to rich datasets, which can provide historical and predictive insights about project and development efforts. Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (A

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Keras 3.0: Everything You Need To Know

KDnuggets

Unlock the power of AI collaboration with Keras 3.0! Seamlessly switch between TensorFlow, JAX, and PyTorch, revolutionizing your deep learning projects. Read now and stay ahead in the world of AI.

article thumbnail

OpenAI Unveils 6 Exciting ChatGPT Features to Revolutionize User Experience

Analytics Vidhya

OpenAI, the pioneering company behind ChatGPT, continues to innovate and elevate the user experience with six exciting new features. These enhancements, set to launch in the coming week, aim to make interactions with ChatGPT more engaging, efficient, and productive. From prompt examples to keyboard shortcuts, let’s explore how these updates transform the way users interact […] The post OpenAI Unveils 6 Exciting ChatGPT Features to Revolutionize User Experience appeared first on Analy

article thumbnail

State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

article thumbnail

Improving Fleet Management with Blockchain Technology

Smart Data Collective

As the logistics sector continues to expand and evolve, blockchain technology is becoming an integral part of supply chain procedures. Its implementation offers numerous benefits and applications that streamline operations and enhance efficiency. Also, it enables the compilation of detailed information on container movement, providing real-time and transparent tracking throughout the supply chain.

article thumbnail

Full Steam Ahead: CIO Kopal Raj of WABTEC on staying ‘on-track’ with AI, IoT and sustainability goals

CIO Business Intelligence

With a mission to revolutionize the future of global mobility, WABTEC delivers transformative transportation systems that quite literally propel the world forward. Initiated in 1869, with an expansive legacy built on the shoulders of giants such as Westinghouse (which gives it the name Westinghouse Airbrakes technology), Edison and Faiveley, WABTEC has been pioneering force in modern transportation solutions.

IoT 98

More Trending

article thumbnail

AI-Driven ‘Deepfake’ Fraud: Kerala’s Ongoing Battle Against Scammers

Analytics Vidhya

In recent months, Kerala has witnessed a surge in a devious form of fraud exploiting AI-driven ‘deepfake’ technology. With over 300 individuals losing a staggering Rs. 4 crore to these scammers, the state is grappling with a new wave of cybercrime. The AI scam targets vulnerable victims with enticing ‘work from home’ and ‘business at […] The post AI-Driven ‘Deepfake’ Fraud: Kerala’s Ongoing Battle Against Scammers appeared first on Analytics

article thumbnail

How to Compensate for Blind Spots and Biases in Your Security Strategy

Smart Data Collective

Many businesses have at least some kinds of cybersecurity plan in place, but not all cybersecurity strategies are equally thorough. Most business decision makers suffer from blind spots and biases that cause them to neglect or underestimate certain risks. How do you compensate for these and improve your cybersecurity approach? Blind Spots, Biases, and Misperceptions As any experienced IT consultant will tell you, human beings are imperfect.

article thumbnail

Improving visibility and security in hybrid cloud environments

CIO Business Intelligence

When it comes to keeping our digital world secure, there’s a saying that really hits home: “ You can’t protect what you can’t see.” It’s a reminder that without a clear view of our data and systems, we’re leaving ourselves vulnerable to all sorts of risks. That’s where centralized visibility comes in. By bringing together information from different sources and analyzing it, we gain a powerful tool to identify and respond to potential threats.

Risk 98
article thumbnail

Multivariate Time-Series Prediction with BQML

KDnuggets

Google's BQML can be used to make time series models, and recently it was updated to create multivariate time series models. With the simple code, this article shows how to use it to predict multivariate time series and it can be more powerful than a univariate time series model in this article.

Modeling 108
article thumbnail

How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

article thumbnail

Exploring Multithreading: Concurrency and Parallel Execution in Python

Analytics Vidhya

Introduction Concurrency is a key component of computer programming that helps enhance applications’ speed and responsiveness. Multithreading is a potent method for creating concurrency in Python. Multiple threads can run concurrently within a single process using multithreading, enabling parallel execution and effective use of system resources.

Analytics 271
article thumbnail

Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight

AWS Big Data

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. Due to the exponential growth of data volume, it has become common practice to replace read replicas with data lakes to have better scalability and performance.

article thumbnail

Enterprises enthusiastic about generative AI, Foundry survey shows

CIO Business Intelligence

Generative AI is already making deep inroads into the enterprise, but not always under IT department control, according to a recent survey of business and IT leaders by Foundry, publisher of CIO.com. The survey found tension between business leaders seeking competitive advantage, and IT leaders wanting to limit risks. Some 62% of respondents said their organizations were actively using generative AI, with 23% saying they were in the early stages of exploring its use, and 14% saying they were con

article thumbnail

Using SHAP Values for Model Interpretability in Machine Learning

KDnuggets

Discover how SHAP can help you understand the impact of model features on predictions.

article thumbnail

Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

article thumbnail

A Comprehensive Guide to Fine-Tuning Large Language Models

Analytics Vidhya

Introduction Over the past few years, the landscape of natural language processing (NLP) has undergone a remarkable transformation, all thanks to the advent of large language models. These sophisticated models have opened the doors to a wide array of applications, ranging from language translation to sentiment analysis and even the creation of intelligent chatbots.

Modeling 271
article thumbnail

How FIS ingests and searches vector data for quick ticket resolution with Amazon OpenSearch Service

AWS Big Data

This post was co-written by Sheel Saket, Senior Data Science Manager at FIS, and Rupesh Tiwari, Senior Architect at Amazon Web Services. Do you ever find yourself grappling with multiple defect logging mechanisms, scattered project management tools, and fragmented software development platforms? Have you experienced the frustration of lacking a unified view, hindering your ability to efficiently manage and identify common trending issues within your enterprise?

article thumbnail

10 tips for modernizing legacy apps for the cloud

CIO Business Intelligence

To fully capitalize on the cloud’s scalability and flexibility, most enterprises go beyond a simple lift-and-shift approach, instead injecting them with cloud-native capabilities — a strategy that sounds simple but can quickly prove complex. After all, as with many seemingly easy tasks, the devil is in the details. Fortunately, modernizing a legacy app for the cloud doesn’t have to be a lengthy, painful process, as long as you have realistic expectations and are fully prepared to approach the ta

article thumbnail

KDnuggets News, August 2: ChatGPT Code Interpreter: Fast Data Science • Can’t Keep Up? Catch up on This Week in AI

KDnuggets

ChatGPT Code Interpreter: Do Data Science in Minutes • This Week in AI • Introduction to Statistical Learning, Python Edition: Free Book • 8 Programming Languages For Data Science to Learn in 2023 • Mastering GPUs: A Beginner's Guide to GPU-Accelerated DataFrames in Python

article thumbnail

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.

article thumbnail

Must Know 10 Common Bad Data Cases and Their Solutions

Analytics Vidhya

Introduction In the data-driven era, the significance of high-quality data cannot be overstated. The accuracy and reliability of data play a pivotal role in shaping crucial business decisions, impacting an organization’s reputation and long-term success. However, bad or poor-quality data can lead to disastrous outcomes. To safeguard against such pitfalls, organizations must be vigilant in […] The post Must Know 10 Common Bad Data Cases and Their Solutions appeared first on Analytics

article thumbnail

Amazon Kinesis Data Streams on-demand capacity mode now scales up to 1 GB/second ingest capacity

AWS Big Data

Amazon Kinesis Data Streams is a serverless data streaming service that makes it easy to capture, process, and store streaming data at any scale. As customers collect and stream more types of data, they have asked for simpler, elastic data streams that can handle variable and unpredictable data traffic. In November 2021, Amazon Web Services launched the on-demand capacity mode for Kinesis Data Streams, which is capable of serving gigabytes of write and read throughput per minute and helps reduce

Metrics 98
article thumbnail

Revolutionize your site for growth, innovation, and customer satisfaction with composable architecture

CIO Business Intelligence

If your business can’t adapt, your business can’t compete. In the fast-paced world of business, adaptability is the key to success. Unfortunately, most turn-key website platforms have a hidden flaw – they are inherently limited in their potential. As your business grows, your unique needs may diverge from what your vendor’s monolithic platform can offer, resulting in a system that does many things but excels at none.

article thumbnail

I Created An AI App In 3 Days

KDnuggets

After being impressed by ChatGPT, I created an innovative AI cover letter generator that matches user skills to job requirements to automate customized and relevant application letters.

107
107
article thumbnail

The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

article thumbnail

Adapting BERT Through Fine-tuning For Downstream Tasks

Analytics Vidhya

Introduction Adapting BERT for downstream tasks entails utilizing the pre-trained BERT model and customizing it for a particular task by adding a layer on top and training it on the target task. This technique allows the model to learn dependent on the task details from the data used for training while drawing on the knowledge of […] The post Adapting BERT Through Fine-tuning For Downstream Tasks appeared first on Analytics Vidhya.

Modeling 271
article thumbnail

Estimating Scope 1 Carbon Footprint with Amazon Athena

AWS Big Data

Today, more than 400 organizations have signed The Climate Pledge , a commitment to reach net-zero carbon by 2040. Some of the drivers that lead to setting explicit climate goals include customer demand, current and anticipated government relations, employee demand, investor demand, and sustainability as a competitive advantage. AWS customers are increasingly interested in ways to drive sustainability actions.

article thumbnail

Invoking IT to help revitalize Indigenous languages at risk of extinction

CIO Business Intelligence

The Miami-Illinois language of the Miami Tribe of Oklahoma (Myaamiaki tribe) fell dormant during the 19th and 20th centuries, at a time when Indigenous populations faced forced relocations and abusive boarding schools, where children were forced to assimilate and were punished for using their own language. It wasn’t until the 1990s that Indigenous rights were recognized by the US government, along with the right to their heritage, language, and culture.

Risk 98
article thumbnail

Mastering Regular Expressions with Python

KDnuggets

This article dives deep into the world of regular expressions with Python, providing a comprehensive guide for anyone looking to master this complex yet powerful tool, with detailed explanations and code examples.

108
108
article thumbnail

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.

article thumbnail

Codey: Google’s Generative AI for Coding Tasks

Analytics Vidhya

Introduction Since its introduction, OpenAI has released countless Generative AI and Large Language Models built on top of their top-tier GPT frameworks, including ChatGPT, their Generative Conversational AI. After the successful creation of conversational language models, developers are constantly trying to create Large Language Models that can either develop or assist developers in coding applications. […] The post Codey: Google’s Generative AI for Coding Tasks appeared first on Analytic

Modeling 271
article thumbnail

How AI-powered chatbots are transforming marketing and sales operations

IBM Big Data Hub

In this AI and digital age, customer expectations have evolved. Customers increasingly expect instant gratification: personalized, accurate answers faster and easier than ever before. They don’t want to fill out a form to request a quote, send an email to get pricing information, or wait to get simple answers; they want real-time answers and action.

Sales 70
article thumbnail

CIO legend Chris Hjelm on developing future-ready IT leaders

CIO Business Intelligence

Chris Hjelm is a CIO legend with a career spanning Fortune 50 behemoths like Kroger and FedEx, innovative tech companies like Orbitz and eBay, and other high-growth e-commerce and startup businesses. The 2023 recipient of the Ohio CIO of the Year ORBIE Leadership Award is known for his track record of building and heading global technology strategy initiatives to drive innovation and transform legacy operations.

IT 98
article thumbnail

LGBMClassifier: A Getting Started Guide

KDnuggets

This tutorial explores the LightGBM library in Python to build a classification model using the LGBMClassifier class.

Modeling 108
article thumbnail

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?