Sat.Jul 20, 2019 - Fri.Jul 26, 2019

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Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. Session Summary. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

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Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code)

Analytics Vidhya

Overview Mask R-CNN is a state-of-the-art framework for Image Segmentation tasks We will learn how Mask R-CNN works in a step-by-step manner We will. The post Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code) appeared first on Analytics Vidhya.

Analytics 307
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Big Data, Machine Learning and Alteryx Inspires 2019

David Menninger's Analyst Perspectives

Alteryx Inspire 2019, this year's user conference for Alteryx, drew around 4500 customers, partners, and prospects to Nashville’s Gaylord Opryland Resort & Convention Center in Tennessee last month. The strong attendance was a reflection of the strong growth Alteryx has experienced over the last year; roughly 50% growth year-over-year. This year's conference focused on Alteryx's evolution from data preparation to AI and machine learning, and both were front and center.

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Guide to Automated Analytics By Yellowfin

Corinium

There are three problems hamstringing your access to data insights. Insights are hard to unearth because it requires a lot of systematic drilling and filtering. And that isn’t how your business people want to spend their day (nor is it what they’re paid for). Plus, your analysts are stretched to breaking point. Moreover, analysts know that trawling for insights takes a huge amount of time and there is simply too much data to search thoroughly.

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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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BI Dashboard Best Practices And The Power Of Knowledge In The Digital Age

datapine

It’s often said that knowledge is equal to power. While it isn’t possible to apply this statement in a universal sense (and in fact, it’s somewhat cliché), the notion does serve to highlight an important truth regarding today’s digital world: consumer values are continually evolving. Data has never been more readily accessible. Approaches to communication are changing, and success in today’s technology-driven world correlates directly to the quantity rather than the quality of one’s information—

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10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources)

Analytics Vidhya

Overview Linear algebra powers various and diverse data science algorithms and applications Here, we present 10 such applications where linear algebra will help you. The post 10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources) appeared first on Analytics Vidhya.

More Trending

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3-Minutes Q&A with Gary Zalaveta

Corinium

Corinium’s data analytics events are designed to provide deep value to senior leaders and decision makers who are responsible for driving the strategic growth of data analytics within their organisations. Cheryl Yong , Senior Conference Producer conducted a brief interview with. Gary Zavaleta , Director of Data & Analytics at Global Hotel Alliance. -.

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Convolutional Neural Networks: A Python Tutorial Using TensorFlow and Keras

KDnuggets

Different neural network architectures excel in different tasks. This particular article focuses on crafting convolutional neural networks in Python using TensorFlow and Keras.

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Introduction to Bayesian Adjustment Rating: The Incredible Concept Behind Online Ratings!

Analytics Vidhya

Overview Curious how the big product companies like Amazon, Walmart, AirBnb, etc. manage the ratings we see? The core idea behind these ratings systems. The post Introduction to Bayesian Adjustment Rating: The Incredible Concept Behind Online Ratings! appeared first on Analytics Vidhya.

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Is Big Data Transforming Our Broken Hospital Management Systems?

Smart Data Collective

The healthcare industry is happily embracing big data. Hospitals around the world are finding that data can have a profound impact on their operations. A lot of the emphasis so far has been on the use of big data to better engage with external third-parties, but big data can be equally valuable for managing internal hospital systems. Big Data is the Key to Improving the Efficiency of Hospital Management Systems?

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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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Why EA Needs to Be Part of Your Digital Transformation Strategy

erwin

Enterprise architecture (EA) isn’t dead, you’re just using it wrong. Part three of erwin’s digital transformation blog series. . I’ll let you in on a little secret: the rumor of enterprise architecture’s demise has been greatly exaggerated. However, the truth for many of today’s fast-moving businesses is that enterprise architecture fails. But why?

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Top 13 Skills To Become a Rockstar Data Scientist

KDnuggets

Education, coding, SQL, big data platforms, storytelling and more. These are the 13 skills you need to master to become a rockstar data scientist.

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DATAMIN – Unveiling the World’s Biggest Online Data Science Quizzing Platform

Analytics Vidhya

We are thrilled to announce the launch of the world’s biggest online data science quizzing platform: Datamin! Do you feel some of your peers. The post DATAMIN – Unveiling the World’s Biggest Online Data Science Quizzing Platform appeared first on Analytics Vidhya.

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Big Data Is Already A Thing Of The Past: Welcome To Big Data AI

Smart Data Collective

Not long ago, big data was one of the most talked about tech trends , as was artificial intelligence (AI). But, in case people need a reminder of how fast technology evolves , they only need to consider something newer — big data AI. It combines elements of both technologies. AI allows computers to perform cognitive functions, much like the human brain.

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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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IoT Connectivity & the Significance of Fleet Management in Logistics Industry

BizAcuity

This is the era of IoT (the Internet of Things). One where every sector around us, right from transport, retail and manufacturing to automobiles, is undergoing a major transformation. Fleet management is the latest to join this revolution. Today, the science and study of fleet management is transforming the way traditional fleets were managed. The confluence of connected gadgets, networks, and its consequent by-product of big data is enhancing the impact of fleet management.

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Fantastic Four of Data Science Project Preparation

KDnuggets

This article takes a closer look at the four fantastic things we should keep in mind when approaching every new data science project.

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DataHack Radio #24: Exploring and Designing Chatbots with RASA’s Justina Petraityt?

Analytics Vidhya

Introduction Chatbots are the most common application of Natural Language Processing (NLP). Organizations are scrambling to integrate chatbots into their daily functions to enhance. The post DataHack Radio #24: Exploring and Designing Chatbots with RASA’s Justina Petraityt? appeared first on Analytics Vidhya.

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The 10 Best Business Intelligence Tools For Small And Big Business

Smart Data Collective

Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. Business intelligence tools are means that help companies get insights from their data and get a better understanding of what directions and trends to follow. Regardless of the scale of your business, implementing the right business intelligence tool can help you get more use of your data than ever and drive more profit.

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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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Business Intelligence (BI) market consolidation – what to expect next?

Boris Evelson

The past two years have seen a significant divergence in the maturity of the supply and the demand sides of the BI market. This divergence will influence market dynamics for the next two years and affect enterprise insights leaders making strategic vendor and platform decisions. Specifically, the: Supply side is very mature. BI technology has […].

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Top Certificates and Certifications in Analytics, Data Science, Machine Learning and AI

KDnuggets

Here are the top certificates and certifications in Analytics, AI, Data Science, Machine Learning and related areas.

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AI Ethics: Building Trust by Following Ethical Practices (Part 2)

DataRobot

In our first blog post on the topic of AI Ethics, we covered the promise that artificial intelligence (AI) holds to improve the speed, accuracy, and operations of businesses across a range of industries. With the potential of AI, it’s hard to believe that businesses are hesitating to move forward with AI projects, but fear holds people back. They fear making mistakes that could damage their company’s reputation or doing something illegal or unethical.

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Data Privacy Advocates Must Avoid GDPR Complacency at All Costs

Smart Data Collective

The Global Data Protection Regulation (GDPR) was enacted in May 2018. This law was one of the most revolutionary attempts to strengthen privacy rights in the European Union. Many experts are still trying to determine how effective the law has been. The GDPR has provided some important safeguards to consumers in the European Union and abroad. Since all companies that cater to European consumers must abide by these regulations, consumers outside of the European Union can still benefit from them wh

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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!

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Many Blockchain Use Cases Need IoT To Succeed, And More

Martha Bennett

Many of the most advanced and successful blockchain projects involve use cases related to supply chain and logistics, ranging from documentation management and goods tracking to trade finance. Having access to a ‘golden record’ of key data is clearly a benefit in its own right – no more phone calls and email exchanges to reconcile […].

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This New Google Technique Help Us Understand How Neural Networks are Thinking

KDnuggets

Recently, researchers from the Google Brain team published a paper proposing a new method called Concept Activation Vectors (CAVs) that takes a new angle to the interpretability of deep learning models.

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AI in Analytics: The NLQ Use Case

Sisense

Blog. In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. NLQ is one of the oldest AI disciplines, but we’ve only recently started hearing about it in conjunction with BI and analytics. In this blog, I would like to expand on NLQ and discuss how this AI technology can be leveraged in our domain.

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New Report Shows Big Data Plays Key Role In Improving Driver Safety

Smart Data Collective

Big data is often used to make the world safer. We can use big data to develop better predictive analytics tools to identify risks and take the right precautions. One of the best examples is with using big data to protect driver safety. Companies that use big data can create better contingency plans. They will make sure that the right measures are in place to avoid the risk of injuries and deaths on the road.

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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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Why are so many businesses still doing a poor job of managing data in 2019?

Peter James Thomas

I was asked the question appearing in the title of this short article recently and penned a reply, which I thought merited sharing with a wider audience. Here is an expanded version of what I wrote: Let’s start by considering some related questions: Why are so many businesses still doing a bad job of controlling their costs in 2019? Why are so many businesses still doing a bad job of integrating their acquisitions in 2019?

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Is SQL needed to be a data scientist?

KDnuggets

As long as there is ‘data’ in data scientist, Structured Query Language (or see-quel as we call it) will remain an important part of it. In this blog, let us explore data science and its relationship with SQL.

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Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Ontotext

In this article, we argue that a knowledge graph built with semantic technology (the type of Ontotext’s GraphDB) improves the way enterprises operate in an interconnected world. With several examples, you will see how knowledge management can be made smarter using the potential of semantic technology to fuse data, analyze relationships, detect patterns and infer new facts from enriched datasets. .

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The 6 Biggest Problems Of Professional Crypto Traders

Smart Data Collective

C rypto trading is a risky activity that may lead to substantial losses. The author doesn’t take responsibility for any consequences of the readers’ deals. What do you think about expert steel-makers? What about professional truck drivers? How do committed teachers feel? All of them succeed because they dedicate everything they have to one occupation or one goal.

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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?