September, 2022

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Enhancing Data Catalog with AI

David Menninger's Analyst Perspectives

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.

Data Lake 278
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How is Big Data Helping in the Development of Healthcare?

Analytics Vidhya

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 […].

Big Data 400
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How to Correctly Select a Sample From a Huge Dataset in Machine Learning

KDnuggets

We explain how choosing a small, representative dataset from a large population can improve model training reliability.

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The Top 20 Data Visualization Books That Should Be On Your Bookshelf

datapine

“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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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

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Editorial Review of “Building Industrial Digital Twins”

Rocket-Powered Data Science

[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….

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A Year After: Has Blockchain Changed Advertising by 2022?

Smart Data Collective

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.

More Trending

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Underlying Engineering Behind Alexa’s Contextual ASR

Analytics Vidhya

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, […].

Metadata 400
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The Mistake Every Data Scientist Has Made at Least Once

KDnuggets

How to increase your chances of avoiding the mistake.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

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.

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American Airlines takes flight with analytics transformation

CIO Business Intelligence

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

Analytics 145
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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.

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Data-Driven Companies Leverage OCR for Optimal Data Quality

Smart Data Collective

OCR is the latest new technology that data-driven companies are leveraging to extract data more effectively. There are a number of benefits of using it to your company’s advantage. OCR and Other Data Extraction Tools Have Promising ROIs for Brands. Big data is changing the state of modern business. A growing number of companies have leveraged big data to cut costs, improve customer engagement, have better compliance rates and earn solid brand reputations.

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Augmented Intelligence Reduces Dependency on AI/ML Skill Sets

David Menninger's Analyst Perspectives

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.

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Blockchain Technology and its Types

Analytics Vidhya

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 […].

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More Performance Evaluation Metrics for Classification Problems You Should Know

KDnuggets

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.

Metrics 160
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Enterprise ABM Marketing Tools: A Marketers Guide

Savvy B2B marketers know that a great account-based marketing (ABM) strategy leads to higher ROI and sustainable growth. In this guide, we’ll cover: What makes for a successful ABM strategy? What are the key elements and capabilities of ABM that can make a real difference? How is AI changing workflows and driving functionality? This Martech Intelligence Report on Enterprise Account-Based Marketing examines the state of ABM in 2024 and what to consider when implementing ABM software.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

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.

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The Future of Machine Learning in Cybersecurity

CIO Business Intelligence

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

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Top 4 Blockchain Trends Shaping Business in 2022

Smart Data Collective

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.

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Cloud Computing Realities Part 2: Hybrid and Multi-Cloud Architectures

David Menninger's Analyst Perspectives

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.

Modeling 162
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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.

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Get to Know All About Evaluation Metrics

Analytics Vidhya

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 […].

Metrics 397
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5 Concepts You Should Know About Gradient Descent and Cost Function

KDnuggets

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.

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A Guide To Performing Successful Content Reporting Using Modern Dashboards

datapine

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.

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MLOps Helps Mitigate the Unforeseen in AI Projects

DataRobot Blog

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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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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Data-Driven Marketers Must Configure Outlook Data Files

Smart Data Collective

Big data has changed the marketing profession in extraordinary ways. Global companies spent over $3.2 billion on marketing analytics software last year. This figure is expected to grow in the future. There are many different ways that marketers can leverage data analytics to create successful marketing strategies. One of the biggest benefits is in the realm of email marketing.

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12 fastest growing US cities for IT talent

CIO Business Intelligence

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.

IT 28
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Basic Concept Behind Apache Hive and Elasticsearch

Analytics Vidhya

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. […].

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5 Data Science Skills That Pay & 5 That Don’t

KDnuggets

This article will go over the top 5 data science skills that pay you and 5 that don’t.

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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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AI Meets Data Access Governance

TDAN

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, […].

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How to Avoid Burning Out if You Are a Data Scientist

Dataiku

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.

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Safety and Security Tips To Know in the Era of Big Data

Smart Data Collective

Today, data has become more critical than it has ever been in the past. We have talked about the importance of investing in good data collection methodologies. There are a growing number of risks with big data. Some of them stem from security issues if data is compromised. There are also physical safety issues associated with using the hardware that big data depends on.

Big Data 145
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What is employee experience? A vital factor for business success

CIO Business Intelligence

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

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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.