Thu.Mar 16, 2023

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Impact of Machine Learning on HR in 2023

Analytics Vidhya

Introduction Since the last decade, technology has been an integral part of all businesses. It is now the most critical factor determining the success of all business operations. New-age technologies like artificial intelligence and machine learning help drive greater efficiency and productivity and improve other business metrics. Until 2021, the machine learning market was estimated […] The post Impact of Machine Learning on HR in 2023 appeared first on Analytics Vidhya.

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A Complete Guide To Bar Charts With Examples, Benefits, And Different Types 

datapine

Table of Contents 1) What Are Bar Charts & Graphs? 2) Pros & Cons Of Bar Charts 3) When To Use A Bar Graph 4) Types Of Bar Charts 5) Bar Graphs & Charts Best Practices 6) Bar Chart Examples In today’s fast-paced analytical landscape, data visualization has become one of the most powerful tools organizations can benefit from to be successful with their analytical efforts.

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Difference Between ETL and ELT Pipelines

Analytics Vidhya

Introduction The data integration techniques ETL (Extract, Transform, Load) and ELT pipelines (Extract, Load, Transform) are both used to transfer data from one system to another. The information is taken from one or more data sources, transformed into a target system-compatible format, and then loaded into the target system as part of the ETL process. […] The post Difference Between ETL and ELT Pipelines appeared first on Analytics Vidhya.

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Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

DataKitchen

Introduction. How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. You’ve got a new boss. And she is numbers driven – great! But wait, she asks you for your team metrics. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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Introduction to Apache Oozie

Analytics Vidhya

Introduction This article will be a deep guide for Beginners in Apache Oozie. Apache Oozie is a workflow scheduler system for managing Hadoop jobs. It enables users to plan and carry out complex data processing workflows while handling several tasks and operations throughout the Hadoop ecosystem. Users of Oozie can describe dependencies between various jobs […] The post Introduction to Apache Oozie appeared first on Analytics Vidhya.

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What an IT career will look like in 5 years

CIO Business Intelligence

While crystal ball technology is notoriously fallible, tech leaders say there are a handful of changes to IT work that we’ll likely see half a decade from now. IT pros will work in environments that are more task-based than position-based, experts say, relying more on automation and AI, and using tools that are increasingly portable yet powerful. At the same time, automation through AI in particular will need a human touch, to review processes and results, creating a need for soft skills in the

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OpenChatKit: Open-Source ChatGPT Alternative

KDnuggets

OpenChatKit enables developers to fine-tune the model, maintain context in dialog, moderate responses, and effortlessly build their own custom chatbot applications.

Modeling 112
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Maximizing Profits through Bayesian Demand Forecasting

Analytics Vidhya

Introduction Demand forecasting helps companies determine the necessary quantity of products to produce, among others things. Bayesian Learning is one of the existing techniques that can help to accomplish this task. Bayesian Learning is a machine learning tool that evaluates the veracity of hypothetical data, which may be initial beliefs about a given parameter, based […] The post Maximizing Profits through Bayesian Demand Forecasting appeared first on Analytics Vidhya.

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Powering Efficient Data Prep & Effective MLOps: Dataiku + Snowflake

Dataiku

How can your organization practically and pervasively deploy innovative technology while still maintaining control? When you break it down, the answer is actually fairly simple: gaining topic literacy and choosing the right platform. Enhancing your technology stack while tapping into your preexisting knowledge base and unfettering expert talent to work on high-value projects will give your organization the flexibility and competitive edge needed to emerge ahead.

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Low Code No Code Development and Platforms Explained

Analytics Vidhya

Introduction The technology department across all industries faces tremendous challenges in creating software applications rapidly as per end-user expectations. The need for more skilled resources and a backlog of operations makes their work even harder. To tackle these challenges, no code and low code platforms were created. These approaches enable non-technical users to create applications […] The post Low Code No Code Development and Platforms Explained appeared first on Analytics Vidhy

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Private 5G and edge computing: a perfect match for manufacturing

CIO Business Intelligence

Private 5G is the next evolution of networking for mission-critical applications used in factories, logistics centers and hospitals. In fact, any environment that needs the reliability, security and speed of a wired connection combined with the movement of people, things and data. The element of movement is often a factor in Industry 4.0 digital transformation – and that’s where private 5G shines.

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Difference between ETL and ELT Pipeline

Analytics Vidhya

Introduction This article will be a deep guide for Beginners in Apache Oozie. Apache Oozie is a workflow scheduler system for managing Hadoop jobs. It enables users to plan and carry out complex data processing workflows while handling several tasks and operations throughout the Hadoop ecosystem. Users of Oozie can describe dependencies between various jobs […] The post Difference between ETL and ELT Pipeline appeared first on Analytics Vidhya.

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CTO Dwayne Allen on delivering transcendent business impact

CIO Business Intelligence

Dwayne Allen is an ORBIE-award winning technology executive primed for times like these. Equipped with experiences across a range of industries, a healthy dose of self-awareness, and a passion for learning and people, Allen is redefining the art of the possible as a strategic and innovative CTO. In his current role as senior vice president and CTO at Unisys, he has accountability not just for technology but also solution innovation, architecture and IP, and patents.

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Microsoft Azure OpenAI Service and DataRobot Modernize Data Science Work with Cutting-Edge Technology Innovations

DataRobot Blog

Over the last 12 years, I’ve been fortunate to explore what’s possible with AI through innovation, starting with graduate school at Cornell University, to building a company based on Eureqa algorithms, and leading a team of innovators at DataRobot. Since then, I’ve become increasingly motivated to take what I’ve learned over the years and push these boundaries even further.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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NoSQL Databases and Their Use Cases

KDnuggets

Learn about NoSQL Databases and their types like key-value, document, graph and column family with their use cases.

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The Key Components of a Successful Data Lake Strategy

Data Virtualization

Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3. The post The Key Components of a Successful Data Lake Strategy appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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How SafetyCulture scales unpredictable dbt Cloud workloads in a cost-effective manner with Amazon Redshift

AWS Big Data

This post is co-written by Anish Moorjani, Data Engineer at SafetyCulture. SafetyCulture is a global technology company that puts the power of continuous improvement into everyone’s hands. Its operations platform unlocks the power of observation at scale, giving leaders visibility and workers a voice in driving quality, efficiency, and safety improvements.

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KPN CloudNL: providing customers with full say and control over their data and applications

CIO Business Intelligence

KPN, the largest infrastructure provider in the Netherlands, offers a high-performance fixed-line and mobile network in addition to enterprise-class IT infrastructure and a wide range of cloud offerings, including Infrastructure-as-a-Service (IaaS) and Security-as-a-Service. Drawing on its extensive track record of success providing VMware Cloud Verified services and solutions, KPN is now one of a distinguished group of providers to have earned the VMware Sovereign Cloud distinction.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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A New Era of Value-Driven AI

DataRobot Blog

Artificial intelligence is undoubtedly having a moment – and in response to market hype and increased AI investments, we’re even seeing tech companies reinvent themselves with AI identities. DataRobot was built by data scientists for data scientists, and for more than a decade we have been the only technology company solely-focused on AI and ML.

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The Key Components of a Successful Data Lake Strategy

Data Virtualization

Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3. The post The Key Components of a Successful Data Lake Strategy appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Bridging the gap

3AG Systems

Picture this: a world where technology doesn't just reshape industries, but bridges the gap between innovation and energy. Curious? Keep reading to discover how digital transformation is revolutionizing the manufacturing sector. The unstoppable force of technology has dramatically changed the landscape of manufacturing. With the rise of the Internet of Things (IoT) and other advancements, we're now witnessing a revolution in how businesses operate.

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How the DataRobot AI Platform Is Delivering Value-Driven AI

DataRobot Blog

One of the most common challenges today in the adoption of AI is that far too many projects do not complete and fail to deliver clear business outcomes. In speaking with hundreds of our customers over the past year, and analyzing projects further, we quickly realized that a new approach to AI was needed. To deliver on this new approach, one that we are calling Value-Driven AI , we set out to design new and enhanced platform capabilities that enable customers to realize value faster.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Long Live Spreadsheets! A Brief History & Their Modern Foothold

Alation

Spreadsheets. The very word can cast a shiver of dread through many a hardened data professional’s spine. They are everywhere, they seem to multiply, and no one can be entirely sure how many their organization may have, nor — perhaps more worryingly — where the data they contain may have originated. In the past I have listened to BI team members in various organisations bemoan the fact that they are being asked why the data in their BI report does not reconcile with a business user’s spreadsheet

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New DataRobot and Snowflake Integrations: Seamless Data Prep, Model Deployment, and Monitoring

DataRobot Blog

Data scientists run experiments. They iterate. They experiment again. They generate insights that drive business decisions. They work with partners in IT to harden ML use cases into production systems. To work effectively, data scientists need agility in the form of access to enterprise data, streamlined tooling, and infrastructure that just works. Agility and enterprise security, compliance, and governance are often at odds.