Sat.May 27, 2023 - Fri.Jun 02, 2023

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Unraveling Data Anomalies in Machine Learning

Analytics Vidhya

Introduction In the realm of machine learning, the veracity of data holds utmost significance in the triumph of models. Inadequate data quality can give rise to erroneous predictions, unreliable insights, and overall performance. Grasping the significance of data quality and making oneself familiar with techniques to unearth and tackle data anomalies is important for constructing […] The post Unraveling Data Anomalies in Machine Learning appeared first on Analytics Vidhya.

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UPCOMING 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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The Data Architect’s Role in Data Governance

Alation

The state of data governance is evolving as organizations recognize the significance of managing and protecting their data. With stricter regulations and greater demand for data-driven insights, effective data governance frameworks are critical. To run an effective governance program, partnerships or collaborations between business and technical parts of the organization need to be made.

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Bard for Data Science Cheat Sheet

KDnuggets

Check out our latest cheat sheet to get you up to speed and provide a handy reference for using Google's LLM chat tool Bard for data science.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Key IT initiatives reshape the CIO agenda

CIO Business Intelligence

When it came to cybersecurity projects, Daniel Uzupis could always count on executive and board support during his tenure as CIO at Jefferson County Health Center in Fairfield, Iowa. “Any cybersecurity initiative I wanted to do, they didn’t argue with it; they always did it,” Uzupis says. In fact, Uzupis says he has seen over his years in IT how leadership has become more security aware and, with that, more enthusiastic supporters of security-related initiatives.

IT 131
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Top 10 AI Companies to Watch in 2023

Analytics Vidhya

The quest for the best AI companies heightens in the super-evolving terrain of artificial intelligence. The need for cutting-edge technology and ground-breaking innovation has risen dramatically as we progress through 2023. The top AI companies that succeed in their industry and offer the greatest AI software and solutions are avidly sought after by investors and […] The post Top 10 AI Companies to Watch in 2023 appeared first on Analytics Vidhya.

Software 343

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Programming Languages for Specific Data Roles

KDnuggets

What programming language do you need for a specific data role?

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Resilient data backup and recovery is critical to enterprise success

CIO Business Intelligence

As businesses digitally transform and leverage technology such as artificial intelligence, the volume of data they rely on is increasing at an unprecedented pace. Analysts IDC [1] predict that the amount of global data will more than double between now and 2026. Meanwhile, F oundry’s Digital Business Research shows 38% of organizations surveyed are increasing spend on Big Data projects.

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10 Data Visualization Books

Analytics Vidhya

Introduction to Data Visualization The amount of data has changed in the digital age, becoming both a challenge and an opportunity. Data visualization has become an efficient method for communicating insights and making sense of complex information. Making sense of data through visualization facilitates informed decision-making across various sectors by simplifying interpretation and improving understanding. […] The post 10 Data Visualization Books appeared first on Analytics Vidhya.

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Configure Amazon OpenSearch Service for high availability

AWS Big Data

Amazon OpenSearch Service is a fully open-source search and analytics engine that securely unlocks real-time search, monitoring, and analysis of business and operational data for use cases like recommendation engines, ecommerce sites, and catalog search. To be successful in your business, you need your systems to be highly available and performant, minimizing downtime and avoiding failure.

Snapshot 102
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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 Top AutoML Frameworks You Should Consider in 2023

KDnuggets

AutoML frameworks are powerful tool for data analysts and machine learning specialists that can automate data preprocessing, model selection, hyperparameter tuning, and even perform complex tasks like feature engineering.

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Survey: Marketers embrace AI at expense of metaverse investments

CIO Business Intelligence

The B2B marketing landscape is experiencing a seismic shift fueled by the ascent of ChatGPT and other generative AI (GAI) apps. In a testament to its growing importance, 80% of marketers have experimented with or deployed the burgeoning technology, in some cases redirecting budgets from last year’s forays into the metaverse. These moves reflect a realization among businesses that GAI holds a key to unlocking remarkable marketing possibilities; the promise of stretching marketing budgets by boost

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Knock Knock, the Future is Here: Gen AI!

Analytics Vidhya

“The development of full artificial intelligence could spell the end of the human race. It would take off on its own and re-design itself at an ever-increasing rate. Humans, limited by slow biological evolution, couldn’t compete and would be superseded.” Stephen Hawkings Introduction While the truth in this quote by one of the prominent individuals […] The post Knock Knock, the Future is Here: Gen AI!

Analytics 328
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Accelerate Financial Forecasting With Dataiku

Dataiku

Financial forecasting is one of the primary and also most challenging tasks of finance teams. Using existing historical data, like balance sheets, income statements, or business data sources, financial analysts attempt to predict future outcomes.

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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 10 Tools for Detecting ChatGPT, GPT-4, Bard, and Claude

KDnuggets

Top free tools for detecting thesis, research papers, assignments, documentation, and blogs generated by AI models.

Modeling 154
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L’IA nelle imprese italiane, a che punto siamo?

CIO Business Intelligence

L’intelligenza artificiale è già tra noi, soprattutto se guardiamo il livello di implementazione da parte delle grandi imprese: dati alla mano, risulta che, nel 2022, il 61% del campione esaminato (174 organizzazioni) ha avviato almeno un progetto di IA, mentre il 34% si dichiara in possesso di capitali, competenze e strategie per integrare l’AI nei propri processi.

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Classifying Emotions in Sentence Text Using Neural Networks

Analytics Vidhya

Introduction Classifying emotions in sentence text using neural networks involves attributing feelings to a piece of text. It can be achieved through techniques like neural networks or lexicon-based methods. Neural networks involve training a model on tagged text data to predict emotions in new text. Lexicon-based methods use emotion-associated word dictionaries.

Modeling 327
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Trakstar unlocks new analytical opportunities for its HR customers with Amazon QuickSight

AWS Big Data

This is a guest post by Brian Kasen and Rebecca McAlpine from Trakstar, now a part of Mitratech. Trakstar , now a part of Mitratech , is a human resources (HR) software company that serves customers from small businesses and educational institutions to large enterprises, globally. Trakstar supercharges employee performance around pivotal moments in talent development.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Deep Learning with R

KDnuggets

In this tutorial, learn how to perform a deep learning task in R.

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Hybrid working: the new workplace normal

CIO Business Intelligence

The new and still evolving world of hybrid work has created a fresh set of challenges for IT leaders who are tasked with ensuring that employees have the tools to get their work done productively and securely, regardless of their location. CIO recently gathered a group of IT executives from a broad range of enterprises for a discussion on hybrid work and how work models continue to change as the Covid pandemic winds down.

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Demystifying UNet and Learning Image Segmentation

Analytics Vidhya

Introduction The UNet is the first model that comes to mind these days whenever we want to use image segmentation in machine learning. In comparison to earlier state-of-the-art techniques, it has been revolutionary in terms of performance improvement. Extensive medical imaging, autonomous driving, and satellite imaging applications are all supported by the encoder-decoder convolutional neural network UNet.

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What to Know Before Recruiting an Analyst to Handle Company Data

Smart Data Collective

The rate of growth at which world economies are growing and developing thanks to new technologies in information data and analysis means that companies are needing to prepare accordingly. As a result of the benefits of business analytics , the demand for Data analysts is growing quickly. The Bureau of Labor Statistics reports that the role of research and data analysts is projected to grow as much as 23% in the next 8 years.

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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.

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OpenAI’s Whisper API for Transcription and Translation

KDnuggets

This article will show you how to use OpenAI's Whisper API to transcribe audio into text. It will also show you how to use it in your own projects and how to integrate it into your data science projects.

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API security: key to interoperability or key to an organization?

CIO Business Intelligence

Most applications built today leverage Application Programming Interfaces (APIs), code that makes it possible for digital devices, applications, and servers to communicate and share data. This code, or collection of communication protocols and subroutines, simplifies that communication, or data sharing. The use of APIs is growing exponentially, year over year, and with the growth of cloud computing, cloud APIs have become the essential building blocks for developing applications in the cloud usi

Testing 98
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What is AI for Recruiting and How Does it Work?

Analytics Vidhya

AI is changing the way we live and work. It is impacting how work happens across all industries. Human Resource Management is a popular field that is getting impacted by AI. AI-powered tools and technology have become game-changers for hiring in the ever-changing recruiting world. AI can boost applicant engagement, minimize prejudice, speed hiring procedures, […] The post What is AI for Recruiting and How Does it Work?

IT 319
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Connected products at the edge

IBM Big Data Hub

There are many overlapping business usage scenarios involving both the disciplines of the Internet of Things (IoT) and edge computing. But there is one very practical and promising use case that has been commonly deployed without many people thinking about it: connected products. This use case involves devices and equipment embedded with sensors, software and connectivity that exchange data with other products, operators or environments in real-time.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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LLM Apocalypse Now: Revenge of the Open Source Clones

KDnuggets

This is a story about how open-source projects are taking on the LLM industry.

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Broadcom’s Andy Nallappan on what cloud success really looks like

CIO Business Intelligence

Companies moving to the cloud often find themselves at a crossroads near the midpoint of their migrations , spending more than they intended and getting out less than they hoped. Often that’s because their IT organization isn’t equipped with the culture, mindset, and skills necessary to capitalize on the cloud. Andy Nallappan has had a long career in IT, including CIO roles, but his current job at Broadcom is managing the company’s external cloud platform, DevOps, and SaaS operations across mult

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The Art of Crafting Powerful Prompts: A Guide to Prompt Engineering

Analytics Vidhya

Introduction Prompt engineering is a relatively new field focusing on creating and improving prompts for using language models (LLMs) effectively across various applications and research areas. We can easily understand the capabilities and restrictions of large language models( LLMs) with the aid of quick engineering skills. Researchers intensively use prompt engineering to increase LLMs’ capacity for […] The post The Art of Crafting Powerful Prompts: A Guide to Prompt Engineering ap

Modeling 318
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Preventive maintenance vs. predictive maintenance

IBM Big Data Hub

Your maintenance strategy may not be the first thing that springs to mind when thinking about the bottom line. Yet, given that machinery, equipment and systems keep businesses running, maintenance strategies have a major role to play. Without due care and attention, things break—regardless of whether that’s a transformer in an electricity grid, an axle bearing on a train or a refrigerator in a restaurant.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.