Tue.Oct 04, 2022

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Key Components and Challenges of Data Lakes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Today, Data Lake is most commonly used to describe an ecosystem of IT tools and processes (infrastructure as a service, software as a service, etc.) that work together to make processing and storing large volumes of data easy. An ecosystem consists of […]. The post Key Components and Challenges of Data Lakes appeared first on Analytics Vidhya.

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Process Mining Improves Business Processes

David Menninger's Analyst Perspectives

Process mining is defined as the analysis of application telemetry including log files, transaction data and other instrumentation to understand and improve operational processes. Log data provides an abundance of information about what operations are occurring, the sequences involved in the processes, how long the processes are taking and whether or not the processes are completed successfully.

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Real-time Challenges of Machine Learning Projects

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning projects can be extremely challenging in the IT industry. Several factors can make them difficult, including the volume of data that needs to be processed, the complexity of the algorithms involved, and the need to ensure that the systems are […].

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Key-Value Databases, Explained

KDnuggets

Among the four big NoSQL database types, key-value stores are probably the most popular ones due to their simplicity and fast performance. Let’s further explore how key-value stores work and what are their practical uses.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Reduce Equation of Quantum Physics Using Artificial Intelligence

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Physicists have reduced a quantum physics problem that required 100,000 equations into a bite-size task that only requires four equations using Artificial Intelligence (AI). Researchers at the US-based Flatiron Institute trained a machine learning tool to grasp the physics of electrons moving on […].

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How to Make a Not-So-Scary Starter Dashboard in Excel

Depict Data Studio

Dashboards aren’t scary! In this video, let’s make a starter dashboard in Microsoft Excel. You’ll learn how to make four quick visuals: Sparklines Data bars Symbol fonts Color scales. I use these visuals over and over in my real-life consulting projects. Watch the Tutorial. Sparklines. Sparklines are helpful for visualizing patterns over time, like daily, weekly, monthly, quarterly, or annual data.

More Trending

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Interview Kickstart Data Science Interview Course — What Makes It Different?

KDnuggets

Interview Kickstart’s Data Science Interview Course is built by Data Scientists from MAANG and other big tech companies, the course promises to get you interview-ready in 15 weeks.

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A Detailed Guide to Apache Storm Fundamentals

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Continuous data streams are ubiquitous and become even more so as the number of IoT devices in use increases. Of course, data is stored, processed, and analyzed to provide predictive and actionable results. But analyzing petabytes takes a long time, even with […].

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Top Posts September 26 – October 2: Free Algorithms in Python Course

KDnuggets

Free Algorithms in Python Course • How to Select Rows and Columns in Pandas • Lessons from a Senior Data Scientist • A Day in the Life of a Data Scientist: Expert vs. Beginner • 7 Machine Learning Portfolio Projects to Boost the Resume.

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Book your Seats now for Upcoming DataHour Sessions!

Analytics Vidhya

Introduction From the past two decades machine learning, Artificial intelligence and Data Science have completely revolutionized the traditional technologies. Hence the demand of the professionals of this field is rising exponentially and Analytics Vidhya is bridging this gap by training and providing necessary aids to the aspiring tech enthusiasts.

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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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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax. From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. New research co-authored by Marco Iansiti, the co-founder of the Digital Initiative at Harvard Business School, sheds further light on how a data platform with robust real-time capabilities contribute to delivering competitive, ML-driven e

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AI Governance: Break open the black box

IBM Big Data Hub

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. While the promise of AI isn’t guaranteed and doesn’t always come easy, adoption is no longer a choice.

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How CIOs Can Transform Data From a Cost to an Advantage

CIO Business Intelligence

The CIO has a real ability to achieve a competitive advantage for its business through data. This is the underlying purpose of the digital transformation exercises that have been so significant to IT in recent years. For the CIO to be successful with this, there needs to be a comprehensive strategy that extends far beyond simply deploying new technologies.

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Diffusion Models – More than Adding Noise | Domino Data Lab

Domino Data Lab

Go to your favourite social media outlet and use the search functionality to look for DALL-E. You can take a look at this link to see some examples in Twitter. Scroll a bit up and down, and you will see some images that, at first sight, may be very recognisable. Depending on the scenes depicted, if you pay a bit more attention you may see that in some cases something is not quite right with the images.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Comment relever les défis du recrutement en TI au Québec

CIO Business Intelligence

Par les temps qui courent, il fait bon être un professionnel des TI à la recherche d’un emploi au Québec. Pour les entreprises en quête de talents, c’est une tout autre histoire. Fin 2021, le comité sectoriel TECHNOCompétences recensait quelque 13 000 postes disponibles en TI. Dont environ 4 000 attendaient « des gens qui n’existent pas », dit Stéphanie Carle Tavera, directrice générale de l’organisme.

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Key Takeaways from BigData London Conference and Exhibition

KDnuggets

Read some of the key takeaways from BigData LDN, one of the UK's free data & analytics conferences, which took place recently.

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7 signs it’s time for a new CIO job

CIO Business Intelligence

Parting may be a sweet sorrow, but it can be inevitable when a CIO detects a tell-tale sign that a quick and clean employment departure represents the best course of action. Most CIOs at one time or another have found themselves working at an enterprise that has seriously altered course, lost its focus, neglected competitiveness, or changed in some other significantly detrimental way.

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Machine Learning for Everybody!

KDnuggets

Who is machine learning for? Everybody!

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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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Scaling Kafka Brokers in Cloudera Data Hub

Cloudera

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. Kafka brokers contained within host groups enable the administrators to more easily add and remove nodes. This creates flexibility to handle real-time data feed volumes as they fluctuate.

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6 Best Free Online Courses to Jumpstart Your Learning of SQL

KDnuggets

We scoured the internet for the best free courses for anyone looking to learn SQL. We’re excited to share the top 6 resources we found.

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NCMS CIO exploits ‘Great Resignation’ to slash costs, streamline IT operations

CIO Business Intelligence

The end of the Great Resignation — the latest buzzword referring to a record number of people quitting their jobs since the pandemic — seems to be nowhere in sight. “New employee expectations, and the availability of hybrid arrangements, will continue to fuel the rise in attrition. An individual organization with a turnover rate of 20% before the pandemic could face a turnover rate as high as 24% in 2022 and the years to come,” says Piers Hudson, senior director in the Gartner HR practice.

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Which Metric Should I Use? Accuracy vs. AUC

KDnuggets

Depending on the problem you’re trying to solve, one metric may be more insightful than another.

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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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Mythbuster: Exploring data will reveal hidden insights

Aryng

What is data exploration? Myth: Explore Data to find actionable insights How to go about data exploration There’s a famous saying that goes, “knowledge is power.” And while that may be true in some cases, it’s not always the case when it comes to data. In fact, some data can be misleading. That’s why it’s […] The post Mythbuster: Exploring data will reveal hidden insights appeared first on Aryng's Blog.

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Quest EMPOWER: Day two is all about data operations

erwin

In our last post, we explored reasons why you’ll want to attend day one of Quest ® EMPOWER 2022. Now, we’ll get into some of the highlights and can’t-miss sessions you can expect on day two. Day two will focus on data operations. The second day of Quest EMPOWER will help you lay a foundation to become truly data driven. If you want to efficiently modernize data infrastructure, optimize system performance and deliver applications that will empower your business, mastering data operations is the k

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Will My Business Benefit from Mobile Analytics for Tally ERP?

Smarten

How Do I Know if I Need to Integrate Analytics with My Tally ERP Solution? You made sure you gave your business users the software they need to support their business function. Tally® ERP is popular among your team members. Accountants are using the appropriate module to enter data and print reports. Inventory managers are managing stock, and purchasing managers are coordinating suppliers, supplies and expenses.

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Building Your Dream Dashboard: Getting Started

InsightOut

That looks dreamy, right? Your dashboard should function like the cockpit of a plane, enabling you to get a bird's eye view of your organization or business function. But how do you design the ultimate dashboard to achieve that? Here are a few of the guiding principles we use to get you there. Start with the five Ws: 1. Define the why. Why do you need the dashboard?

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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3 data-driven approaches to raise the bar on customer experience

CIO Business Intelligence

In the digital age, customers expect seamless experiences from the brands they do business with, regardless of where or how they buy goods and services. Customers gravitate to personalized interactions and show a preference for companies that anticipate and cater to their unmet needs. PwC research found that customers are willing to pay a 16% price premium on products and services associated with great experiences – but one in three customers say they’ll walk away from a beloved brand after just

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Get Creative with AI Forecasting in Changing Economic Conditions

DataRobot Blog

The shift in consumer habits and geopolitical crises have rendered data patterns collected pre-COVID obsolete. This has prompted AI/ML model owners to retrain their legacy models using data from the post-COVID era, while adapting to continually fluctuating market trends and thinking creatively about forecasting. In this blog, we’ll review the DataRobot new Time Series clustering feature, which gives you a creative edge to build time series forecasting models by automatically grouping series that

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Increase Customer Loyalty with Payment Tokenization

CIO Business Intelligence

Your customers expect their payment experiences to be simple, secure, and consistent, whether they’re buying online, on their devices, or in store. They also want to pay the way that best suits them. Customers are increasingly adopting alternative payment methods, such as eChecks and digital wallets. However, all that choice has made the payment environment increasingly complex.

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Why Data Governance is Essential for the Insurance Industry

Alation

The foundation of insurance is data and analytics. Actuaries and their mathematical models enable insurers to calculate risk to determine premiums. Today, the rise of digital insurance companies and the changing risk landscape together drive the industry’s digital transformation. As the volume, veracity, variety, and volume of data expands, insurance companies need a stable framework to govern data and democratize access.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.