June, 2022

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Understanding Loss Function in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The loss function is very important in machine learning or deep learning. let’s say you are working on any problem and you have trained a machine learning model on the dataset and are ready to put it in front of your client. […]. The post Understanding Loss Function in Deep Learning appeared first on Analytics Vidhya.

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Domo Enables Real-Time Collaboration for Analytics

David Menninger's Analyst Perspectives

Organizations are constantly trying to streamline and optimize business data to solve complex problems and identify opportunities to increase revenue and accelerate business growth. The data is usually stored in multiple systems with various data governance rules, which makes it complicated to democratize data and analytics within an organization. The most pressing concerns cited by participants in our Analytics and Data Benchmark Research include difficulty integrating with business processes,

Analytics 246
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Closer to AGI?

O'Reilly on Data

DeepMind’s new model, Gato, has sparked a debate on whether artificial general intelligence (AGI) is nearer–almost at hand–just a matter of scale. Gato is a model that can solve multiple unrelated problems: it can play a large number of different games, label images, chat, operate a robot, and more. Not so many years ago, one problem with AI was that AI systems were only good at one thing.

Modeling 363
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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

I recently attended the Splunk.conf22 conference. While the event was live in-person in Las Vegas, I attended virtually from my home office. Consequently I missed the incredible in-person experience of the brilliant speakers on the main stage, the technodazzle of 100’s of exhibitors’ offerings in the exhibit arena, and the smooth hip hop sounds from the special guest entertainer — guess who ?

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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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Why Do You Need To Visualize Your Accounting Reports?

datapine

Table of Contents. 1) What Are Accounting Reports? 2) Why Do You Need Accounting Reports? 3) Types Of Accounting Reports. 4) Accounting Reports Examples. 5) The Role Of Visuals In Accountant Reports. On the basis of every company’s competent management, we can find accounting reports. Tracking the financial health of a business and its evolution over time is essential: to organize important business transactions, and keep track of invoices, but also for legal purposes.

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24 SQL Questions You Might See on Your Next Interview

KDnuggets

Preparing for the SQL job interview can be overwhelming enough. You don’t need someone telling you that you need to know everything on top of that! Be smart and focus on preparing the SQL questions that appear most often at the job interview.

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Where Web 3.0 is taking the software industry

CIO Business Intelligence

Like many breakthroughs, the central idea behind blockchain is simple but obscured by the surrounding embellishments and hoopla. At its heart, the idea is a purely technical one, beguiling in its counterintuitiveness: by broadcasting information, it becomes more secure. Ground zero for the blockchain idea is the Satoshi whitepaper , which presents a novel approach to avoiding the double spend problem in digital currencies.

Software 145
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Using Data Analytics and QR Codes to Boost Your Marketing Strategy

Smart Data Collective

Data analytics technology has helped countless companies improve their marketing strategies. Global companies are spending over $3 billion a year on marketing analytics technology and this figure is growing over 12% a year. There are a lot of different ways that companies can use data analytics to improve their marketing strategies. One of the most effective approaches involves taking advantage of QR codes.

Marketing 145
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How Data Storytelling Can Build Better Customer Connections

Juice Analytics

“Like a good neighbor, State Farm is there.”. The State Farm tagline — like so many advertisements — does more than connect with new customers. It also wants to convince existing customers that they made the right decision in choosing State Farm for their insurance. The same is true about delivering data to your customers. Reporting is more than a feature of your product, it is an opportunity to remind customers of the value your solution provides.

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A Complete Guide On How To Set Smart KPI Targets And Goals

datapine

Table of Contents. 1) What Are KPI Goals? 2) What Are KPI Targets. 3) Benefits Of Setting KPIs Targets & Goals. 4) How To Set KPIs Targets? 5) How To Implement A KPI System? 6) KPI Targets Examples. In a world where data represents a major competitive advantage for businesses, the need to monitor performance based on specific goals and targets is critical.

KPI 152
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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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Data Preparation with SQL Cheatsheet

KDnuggets

If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?

Data Lake 160
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Translate Spanish Audio transcriptions to Quechua

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Quechua In this article, we will create an app for translating Spanish Audio transcriptions to Quechua. We will leverage the Gradio Python package for creating a web interface for the model and deploy our app on Hugging Face Spaces. With the advent […]. The post Translate Spanish Audio transcriptions to Quechua appeared first on Analytics Vidhya.

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Computer vision is primed for business value

CIO Business Intelligence

Over the past few years, computer vision applications have become ubiquitous. From phones that recognize the faces of their users, to cars that drive themselves, to satellites that track ship movements, the value of computer vision has never been clear. But hardware shortages and labor disruptions in the pandemic’s wake are challenging companies’ ability to make good on the promise of computer vision, even as the pandemic itself has accelerated the potential of its use cases.

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How Understanding Data Can Improve Your Marketing Efforts

Smart Data Collective

Global companies spent over $2.83 billion on marketing analytics in 2020. This figure certainly increased in light of the pandemic, as digitization accelerated. Marketing has always been about numbers. Now, those numbers are highly refined, narrowed by algorithms and databases, and processed by people with advanced degrees. Indeed, data and marketing are a match made in heaven, taking much of the guesswork out of a profession that once was as much about luck as it was about creativity.

Marketing 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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Semantic Models Benefit Analytical Processes

David Menninger's Analyst Perspectives

I’ve never been a fan of talking about semantic models because most of the workforce probably doesn’t understand what they are, or doesn’t recognize them by name. But the findings in our recent Analytics and Data Benchmark Research have changed my mind. The research shows how important a semantic model can be to the success of data and analytics processes.

Modeling 130
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DataOps Risk Insurance & Mission Control

DataKitchen

Chris Bergh shares how to manage data quality and pipeline risk through implementing a 'Mission Control' center for DataOps. The post DataOps Risk Insurance & Mission Control first appeared on DataKitchen.

Insurance 130
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Introducing Objectiv: Open-source product analytics infrastructure

KDnuggets

Collect validated user behavior data that’s ready to model on without prepwork. Take models built on one dataset and deploy & run them on another.

Analytics 160
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Is Adult Income Dataset Imbalanced?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Introduction How many rows of sample data are required (or what should be the size of the training dataset required) to build a machine learning model that can predict fraudulent transactions in a credit card fraud detection dataset containing around 284407 rows? […]. The post Is Adult Income Dataset Imbalanced?

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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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12 tips for achieving IT agility in the digital era

CIO Business Intelligence

Pre-COVID, agility became an aspiration and rallying cry for organizations seeking to embrace emerging technologies and pursue technology-enabled innovation, often to stave off digital disruption in their industries. Once the pandemic hit, that nice-to-have became an existential necessity. “As CIO, I’m constantly looking at ways to become more agile and using IT as a strategic differentiator,” says Scott duFour, global CIO at digital payment solutions company Fleetcor.

IT 145
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Migrating to the cloud? Follow these steps to encourage success

Smart Data Collective

Enterprise cloud adoption increased dramatically during the COVID-19 pandemic — now, it’s the rule rather than the exception. In fact, 9 in 10 companies currently use the cloud in some capacity, according to a recent report from O’Reilly. Although digital transformation initiatives were already well underway in many industries, the global health crisis introduced two new factors that forced almost all organisations to move operations online.

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6 Tips For Software Vendor Selection

BA Learnings

Selecting vendors for software implementation projects can seem like a complicated process but it doesn’t have to be with the right tips in mind. This article discusses tips for vendor selection you should know about: Ensure your requirements are cleared ad devoid of ambiguities: Documented requirements will guide the vendors in determining their suitability to respond and should as much as possible, reflect what is to be achieved during the implementation.

Software 130
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Kyvos Accelerates Business Intelligence in the Cloud

David Menninger's Analyst Perspectives

Organizations are scaling business intelligence initiatives to gain a competitive advantage and increase revenue as more data is created. Lack of expertise, data governance and slow performance can impact these efforts. Our Analytics and Data Benchmark Research finds some of the most pressing complaints about analytics and BI include difficulty integrating with other business processes and flexibility issues.

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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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Deep Learning Key Terms, Explained

KDnuggets

Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.

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Differences Between Web 2.0 and Web 3.0

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you have been paying close attention to the blockchain industry, then you have undoubtedly been familiar with the words “Web 2.0” and “Web 3.0.” There’s a good chance that you’re confused about the precise meaning of these phrases and how they […].

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The Edison Ratio: What business and IT leaders get wrong about innovation

CIO Business Intelligence

Genius, opined Thomas Edison, who had firsthand knowledge of the subject, consists of 1% inspiration and 99% perspiration. Call it the “Edison Ratio.”. While one might haggle over the exact numbers, the Edison Ratio provides a useful benchmark for what it takes to make an inspired idea real. And it cuts straight to a key reason organizations often fail at innovation: They overemphasize innovation’s need for new ideas while remaining oblivious to — or eternally optimistic about — the volume of wo

IT 145
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Why Are Organizations Focusing on Data Security?

Smart Data Collective

Data breaches are becoming more common than ever. The International Association of Privacy Professionals reports that there were 1,862 data breaches in 2021 alone. This figure is growing by the year. Organizations must make data security a top priority. Those that do not risk bankruptcy, as the costs of data breaches are horrifying. Rising Data Breaches Have Made Greater Data Security a Necessity.

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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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Introduction to Keycloak

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In a Technological Era, application security is becoming a much more important concept. In a security principle, we may heard the importance of authorization. Unauthorized access to data can potentially cost a high amount of money. Even rather than money, there […].

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Data Visualisation: Alluvial Diagram vs. Sankey Diagram

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Most people tend to have a very minimal set of information about Alluvial and Sankey diagrams. The reality is that the two diagrams have superficial similarities to each other. On the flip side, the two diagrams are completely different, underlying superficial assumptions. […].

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Deploying Django App on Google Compute Engine

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Compute Engine Compute Engine is computing and hosting service that lets you create and run virtual machines on Google infrastructure. It provides an IaaS (Infrastructure-as-a-Service) that allows clients to run their applications on Google’s physical hardware instead of their own hardware […].

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Use a Load Balancer on Google Cloud to Host Web Applications

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction What is a Load Balancer, and why do we need it? Load Balancer is a must component when we want to scale our systems horizontally. Horizontal scaling means the addition of extra servers and machines to the existing infrastructure so that it […]. The post Use a Load Balancer on Google Cloud to Host Web Applications appeared first on Analytics Vidhya.

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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!