Analytics Vidhya
NOVEMBER 27, 2022
This article was published as a part of the Data Science Blogathon. Introduction Which language do we use when it comes to data analysis? Of course, Python, isn’t it? But there is one more language for data analysis which is growing rapidly. Some of you might guess the language – I am talking about Julia. […]. The post An Introduction to Julia for Data Analysis appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 1, 2022
The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. Each of these trends will continue to shape the way companies use data in the coming years.
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Analytics Vidhya
NOVEMBER 27, 2022
This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction Until recently, developing new, improved transformers specifically for a single modality was common practice. However, to tackle real-world tasks, there was a pressing need to develop multi-modal transformers models. Multi-modal transformers models are the type of models that employ the […].
IBM Big Data Hub
NOVEMBER 28, 2022
Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities.
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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?
CONTACT Software
NOVEMBER 29, 2022
When someone asks me something about Material Data Management, I always counter by asking what exactly is meant by “material”? This may not be the answer the other person expects at that moment, but it saves us both long minutes of confusion and talking past each other. The reason: not all materials are the same. … Continue reading "Material Data Mana-What??".
Dataiku
DECEMBER 1, 2022
Have you ever been part of a digital transformation that did not go so well? The answer is probably yes. Yet the truth is, that the “digital” part of the transformations are generally done quite well these days. There are enough good platforms, enough good ideas, enough people focused on the customer out there who also understand technology, that the “front end” of the exercise can be done very reliably.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
David Menninger's Analyst Perspectives
NOVEMBER 29, 2022
In today’s data-driven world, organizations need real-time access to up-to-date, high-quality data and analysis to keep pace with changing market dynamics and make better strategic decisions. By mining meaningful insights from enterprise data quickly, they gain a competitive advantage in the market. Yet, organizations face a multitude of challenges when transitioning into an analytics-driven enterprise.
DataKitchen
DECEMBER 1, 2022
Data Team members, have you ever felt overwhelmed? The never-ending flow of new information can be stressful, and it’s hard to know where to start. Well, don’t worry because DataOps is here to help! In this post, we’ll discuss how DataOps Observability and Automation can relieve team stress and show you how to get started. So don’t wait any longer.
KDnuggets
DECEMBER 1, 2022
In this blog, I shared my story on getting 4 data science job offers including Airbnb, Lyft and Twitter after being laid off. Any data scientist who was laid off due to the pandemic or who is actively looking for a data science position can find something here to which they can relate.
Analytics Vidhya
NOVEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Source: Image by Gerd Altmann from Pixabay Smart contracts are blockchain-based computer programs that activate at predefined times. In most cases, they are used to eliminate the need for a third party during the execution of a contract, allowing all parties to […].
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📌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.
CIO Business Intelligence
DECEMBER 1, 2022
For any IT leader new to an organization, gaining employee trust is paramount — especially when, like PepsiCo’s Athina Kanioura, you’ve been brought in to transform the way work gets done. Kanioura, who was hired away from Accenture two years ago to serve as the food and beverage multinational’s first chief strategy and transformation officer, says earning employee trust was one of her greatest challenges in those early months.
DataKitchen
NOVEMBER 28, 2022
Part 4: Reviewing the Benefits. This is the final post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.
KDnuggets
DECEMBER 2, 2022
The data science field is full of job opportunities, yet there is still a lot of confusion about what data scientists actually do. This confusion is largely due to the many myths that exist about the role of a data scientist. In this article, we will bust the top 10 myths about data science. By the end of this article, you will have a better understanding of the role of a data scientist and what it takes to be one.
Analytics Vidhya
NOVEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Let’s say you want to build Dapp on top of the blockchain. So you wrote the code and configured your specification. Now you need to deploy it on the blockchain. But wait, you need to download the entire network to do so! […]. The post Dapp Deployment Using Quick Node RPC appeared first on Analytics Vidhya.
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.
Smart Data Collective
NOVEMBER 29, 2022
The Internet of Things (IoT) has changed our lives in extraordinary ways. A number of new IoT devices have made it easier to manage smart homes and have improved or lives. According to Dell Technologies, there will be over 41.6 billion IoT devices online by 2025 , as more people discover their benefits. More homeowners and businesses are looking for IoT devices to invest in.
CIO Business Intelligence
DECEMBER 1, 2022
In the war for talent, sometimes the solution is right in front of you. For businesses struggling to compete for tech talent, investing in your current talent through upskilling and training initiatives can provide invaluable returns, as many IT leaders are finding. A study from Korn Ferry estimates that by 2030 more than 85 million jobs will go unfilled due to a lack of available talent, a talent shortage that could result in the loss of $8.5 trillion annual revenue globally.
KDnuggets
NOVEMBER 30, 2022
The best way to learn Data Science is by solving real-world problems with the data and building your own portfolio. In this article, we will discuss three projects that you can work on to build your portfolio and impress interviewers.
Analytics Vidhya
NOVEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Hey, are you working on a data science project, solving a problem statement related to data science, or experimenting with a statistical test to make further decisions and handling the most repeatedly cited statistical term, ‘correlation’? Willing to correctly interpret these statistical […].
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
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.
Smart Data Collective
NOVEMBER 29, 2022
Cloud technology has driven a number of changes in the financial sector. Alternative financial systems such as cryptocurrency trading have also changed as a result of cloud technology. We have talked about the benefits of using the cloud to trade bitcoins in developing economies like Algeria. However, it can be even more useful for trading newer currencies.
CIO Business Intelligence
NOVEMBER 29, 2022
In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect. AWS launched Amazon Connect in 2017 in an effort to offer a low-cost, high-value alternative to traditional customer service software suites.
KDnuggets
DECEMBER 1, 2022
The latest KDnuggets exclusive cheatsheet covers the essentials of machine learning with Scikit-learn.
Analytics Vidhya
NOVEMBER 27, 2022
This article was published as a part of the Data Science Blogathon. Source: DDI Introduction Autoencoders are an unsupervised model that takes unlabeled data and learns effective coding about the data structure that can be applied to another context. It approximates the function that maps the data from input space to lower dimensional coordinates and […].
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.
Smart Data Collective
NOVEMBER 28, 2022
Last September, various news outlets picked up the story of an AI-generated painting taking first place at the Colorado State Fair’s art contest. To create the winning piece, the contestant entered some text into Midjourney, an online app that creates images based on text input. The result is a piece called ‘Théâtre D’opéra Spatial,’ one of the first AI-generated images to win an art contest.
CIO Business Intelligence
NOVEMBER 29, 2022
By George Trujillo, Principal Data Strategist, DataStax Innovation is driven by the ease and agility of working with data. Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. It’s the only way to drive a strategy to execute at a high level, with speed and scale, and spread that success to other parts of the organization.
KDnuggets
NOVEMBER 29, 2022
First steps to learning data science & machine learning are the foundations.
Analytics Vidhya
NOVEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Data and Information about a Customer are important for all businesses and companies. For a business to be data-driven, a Company needs to be highly data-driven and focus highly on customer analytics. Information about customers can be collected from many sources. It […].
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
Smart Data Collective
NOVEMBER 29, 2022
Data analytics technology has had a profound effect on the nature of customer engagement. Analytics is especially important for companies trying to optimize their online presence. Website optimization is absolutely vital for any brand striving to do business online. According to Northern Arizona University, 88% of customers will leave a website due to a poor user experience.
CIO Business Intelligence
DECEMBER 1, 2022
By Milan Shetti, CEO Rocket Software In today’s digitalized world, customers value transparency and accessibility above all else. As a result, organizations are taking a proactive approach to provide critical content to end users at the click of a button. For over 130 years, Hastings Mutual Insurance Company has served and protected its clients throughout the Midwest.
KDnuggets
DECEMBER 1, 2022
Introduction to PyTorch Lightning and how it can be used for the model building process. It also provides a brief overview of the PyTorch characteristics and how they are different from TensorFlow.
Analytics Vidhya
NOVEMBER 28, 2022
This article was published as a part of the Data Science Blogathon. Introduction Web3 is being heralded as the internet’s future. This new blockchain-based web’s vision includes cryptocurrencies, NFTs, DAOs, decentralized finance, and other features. It provides a read/write/own version of the web to which users have a monetary stake in and greater control over […].
Speaker: Jesse Simms, VP at Giant Partners
This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.
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