David Menninger's Analyst Perspectives
SEPTEMBER 22, 2022
Organizations are collecting data from multiple data sources and a variety of systems to enrich their analytics and business intelligence (BI). But collecting data is only half of the equation. As the data grows, it becomes challenging to find the right data at the right time. Many organizations can’t take full advantage of their data lakes because they don’t know what data actually exists.
Analytics Vidhya
SEPTEMBER 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction “Big data in healthcare” refers to much health data collected from many sources, including electronic health records (EHRs), medical imaging, genomic sequencing, wearables, payer records, medical devices, and pharmaceutical research. Its characteristics distinguish it from traditional electronic medical and human health data […].
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KDnuggets
SEPTEMBER 28, 2022
We explain how choosing a small, representative dataset from a large population can improve model training reliability.
datapine
SEPTEMBER 16, 2022
“Most of us need to listen to the music to understand how beautiful it is. But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. datapine is filling your bookshelf thick and fast. Previously, we discussed the top 19 big data books you need to read, followed by our rundown of the world’s top business intelligence books as well as our list of the best SQL books for beginners and intermediates.
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Rocket-Powered Data Science
SEPTEMBER 25, 2022
[link]. I was asked by the publisher to provide an editorial review of the book “Building Industrial Digital Twins: Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins“, by Shyam Varan Nath and Pieter van Schalkwyk. For this, I received a complimentary copy of the book and no other compensation. Let us begin….
CIO Business Intelligence
SEPTEMBER 10, 2022
In the wake of the COVID-19 pandemic, airlines have struggled with bad weather, fewer air traffic controllers, and a shortage of pilots, all leading to an unprecedented number of cancelations in 2022. According to Reuters , more than 100,000 flights in the US were canceled between January and July, up 11% from pre-pandemic levels. American Airlines, the world’s largest airline, is turning to data and analytics to minimize disruptions and streamline operations with the aim of giving travelers a s
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Analytics Vidhya
SEPTEMBER 17, 2022
This article was published as a part of the Data Science Blogathon. Introduction Conventionally, an automatic speech recognition (ASR) system leverages a single statistical language model to rectify ambiguities, regardless of context. However, we can improve the system’s accuracy by leveraging contextual information. Any type of contextual information, like device context, conversational context, and metadata, […].
KDnuggets
SEPTEMBER 28, 2022
Generate the prompt using Phraser and create realistic art using the Diffusion model.
datapine
SEPTEMBER 27, 2022
Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books. Now it’s time to ponder over our hand-picked list of the 20 best SQL learning books available today.
DataRobot Blog
SEPTEMBER 1, 2022
The latest McKinsey Global Survey on AI proves that AI adoption continues to grow and that the benefits remain significant. But in the COVID-19 pandemic’s first year, many felt more strongly about the cost-savings front than the top line. At the same time, AI remains complex and out of reach for many. For example, a recent IDC study 1 shows that it takes about 290 days on average to deploy a model into production from start to finish.
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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?
CIO Business Intelligence
SEPTEMBER 8, 2022
Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine
David Menninger's Analyst Perspectives
SEPTEMBER 16, 2022
Business intelligence has evolved. It now includes a spectrum of analytics , one of the most promising of which has been described as augmented intelligence. Some organizations have used the term to describe the practical reality that artificial intelligence with machine learning is not replacing human intelligence, but augmenting it. The term also represents the application of AI/ML to make business intelligence and analytics tools more powerful and easier to use.
Analytics Vidhya
SEPTEMBER 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets. Any data stored on the blockchain cannot be modified, making the technology a legitimate disruptor for payments, cybersecurity, and healthcare industries. Blockchain is a system of registering […].
KDnuggets
SEPTEMBER 22, 2022
How to increase your chances of avoiding the mistake.
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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.
datapine
SEPTEMBER 29, 2022
Table of Contents. 1) What Is Data Quality Management? 2) Why Do You Need DQM? 3) The 5 Pillars of DQM. 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.
Smart Data Collective
SEPTEMBER 9, 2022
Data-driven ecommerce companies have a strong advantage over their competitors. As we stated before, data-driven marketing strategies are extremely valuable for ecommerce companies. What kind of ROI can big data offer for the ecommerce sector? One study showed that big data helps companies in all sectors increase profitability by 60%. Ecommerce companies can increase their profit margins even more by investing in big data, because they have access to more digital information that they can use to
CIO Business Intelligence
SEPTEMBER 29, 2022
These days, it’s difficult to find a company that isn’t looking for qualified professionals to fill vital IT roles. In fact, despite layoffs and hiring freezes reported among technology companies, IT job postings grew month-over-month in the first half of 2022, a boom Dice.com attributes to IT hiring having strengthened in nearly every other industry outside of tech, according to its Tech Jobs Report.
David Menninger's Analyst Perspectives
SEPTEMBER 28, 2022
In my first perspective on cloud computing realities , I covered some of the cost considerations associated with cloud computing and how the cloud costing model may be different enough from on-premises models that some organizations are taken by surprise. In this perspective. I’d like to focus on realities of hybrid and multi-cloud deployments.
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.
Analytics Vidhya
SEPTEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Evaluation metrics are used to measure the quality of the model. Selecting an appropriate evaluation metric is important because it can impact your selection of a model or decide whether to put your model into production. The mportance of cross-validation: Are evaluation metrics […].
KDnuggets
SEPTEMBER 20, 2022
When building and optimizing your classification model, measuring how accurately it predicts your expected outcome is crucial. However, this metric alone is never the entire story, as it can still offer misleading results. That's where these additional performance evaluations come into play to help tease out more meaning from your model.
datapine
SEPTEMBER 6, 2022
Table of Contents. 1) What Is Content Reporting? 2) What Is A Content Dashboard? 3) Why Is Content Report Analysis Important? 4) Content Dashboards Examples. 5) Content Reporting Best Practices. As a content manager, you most likely spend most of your time writing quality blogs, email newsletters, and social media posts, all in an effort to ensure the business is growing and achieving its goals.
Smart Data Collective
SEPTEMBER 30, 2022
Last decade made a pretty bold promise to digital advertising, which more than other industries suffers from insufficient transparency and a fraudulent environment. The IAB Tech Lab conferences , in particular, frequently gathered blockchain evangelists and ad tech experts who discussed how this technology would finally drive authentication to programmatic chains.
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.
CIO Business Intelligence
SEPTEMBER 23, 2022
Employee experience has become a key factor in defining your company’s overall success. Positive or negative, employee experience can significantly impact your company’s productivity, efficiency, and its ability to recruit and retain talent. It can even impact your brand’s reputation long after an employee has exited the company. The COVID-19 pandemic has drastically changed the future of work by normalizing remote work , placing a new emphasis on workplace flexibility , and introducing hybrid w
TDAN
SEPTEMBER 21, 2022
Data is the viral sensation crashing the data governance capacity. Use of data is disrupting industries, economies, even some government elections. Unlocking the secrets data holds is the number one challenge in every single company regardless of the size or industry. However, organizations are facing a challenge: having the framework is key. And yet, execution, […].
Analytics Vidhya
SEPTEMBER 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction I’ve always wondered how big companies like Google process their information or how companies like Netflix can perform searches in concise times. That’s why I want to tell you about my experience with two powerful tools they use: Apache Hive and Elasticsearch. […].
KDnuggets
SEPTEMBER 16, 2022
Why is Gradient Descent so important in Machine Learning? Learn more about this iterative optimization algorithm and how it is used to minimize a loss function.
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.
Dataiku
SEPTEMBER 16, 2022
This is a guest article from Eric Kahuha. Kahuha is an ambitious data scientist and an experienced technical writer. His work has been published in many blogs. He writes highly technical yet easy-to-understand content for beginners and experts in the tech field.
Smart Data Collective
SEPTEMBER 26, 2022
An increasing number of businesses are interested in investing in blockchain technology. The technology is attracting the attention of global business executives due to its huge real-world applications. In addition, blockchain applications are more scalable and secure compared to traditional apps. Enterprise blockchain will greatly benefit businesses due to the continual expansion of digital ecosystems.
CIO Business Intelligence
SEPTEMBER 9, 2022
It’s difficult to visualise the true scale of AI, as it’s almost certainly more than you imagine – it’s going to contribute more to the global economy than the current GDP of India and China combined. PwC research suggests that AI could contribute as much as $15.7 trillion by 2030, and by singularly responsible for a 26 per cent boost in the GDP of local economies.
Juice Analytics
SEPTEMBER 26, 2022
Let the data run free! Government organizations, academic institutions, non-profits, and even passionate sports fans are gathering and sharing valuable data sets with the public. The topics are wide ranging, from climate change to health to inequality to happiness. It is a powerful way to support a cause and encourage data-driven analysis. These open data sets are set loose on a website in hopes that interested visitors will come flocking.
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