Domino Data Lab
JULY 22, 2019
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.
Analytics Vidhya
JULY 21, 2019
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.
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David Menninger's Analyst Perspectives
JULY 26, 2019
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.
Corinium
JULY 24, 2019
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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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
datapine
JULY 24, 2019
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—
Analytics Vidhya
JULY 22, 2019
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Corinium
JULY 23, 2019
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. -.
KDnuggets
JULY 26, 2019
This article takes a closer look at the four fantastic things we should keep in mind when approaching every new data science project.
Analytics Vidhya
JULY 25, 2019
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.
erwin
JULY 26, 2019
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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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?
Smart Data Collective
JULY 25, 2019
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?
KDnuggets
JULY 26, 2019
Different neural network architectures excel in different tasks. This particular article focuses on crafting convolutional neural networks in Python using TensorFlow and Keras.
Analytics Vidhya
JULY 24, 2019
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.
BizAcuity
JULY 22, 2019
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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📌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.
Boris Evelson
JULY 24, 2019
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 […].
KDnuggets
JULY 26, 2019
Education, coding, SQL, big data platforms, storytelling and more. These are the 13 skills you need to master to become a rockstar data scientist.
Analytics Vidhya
JULY 23, 2019
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.
DataRobot
JULY 25, 2019
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.
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.
Martha Bennett
JULY 26, 2019
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 […].
KDnuggets
JULY 25, 2019
Here are the top certificates and certifications in Analytics, AI, Data Science, Machine Learning and related areas.
Smart Data Collective
JULY 25, 2019
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.
Sisense
JULY 24, 2019
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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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
Peter James Thomas
JULY 24, 2019
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?
KDnuggets
JULY 24, 2019
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.
Smart Data Collective
JULY 22, 2019
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.
Ontotext
JULY 26, 2019
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. .
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.
Jet Global
JULY 23, 2019
We all know that data is the key to actionable decision making. In a fast-paced job like sales, you are surrounded by it. From gathering customer data to monitoring sales status to tracking goals, salespeople are collecting and using data at every possible minute. The challenge with having all of this data at your fingertips is organizing it. Without the right strategy and business intelligence tool in place, you are not able to derive meaningful insights from the data you work so hard to accumu
KDnuggets
JULY 25, 2019
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.
Smart Data Collective
JULY 25, 2019
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
Perceptual Edge
JULY 22, 2019
Simply stated, data sensemaking is what we do to make sense of data. We do this in an attempt to understand the world, based on empirical evidence. Those who work to make sense of data and communicate their findings are data sensemakers. Data sensemaking, as a profession, is currently associated with several job titles, including data analyst, business intelligence professional, statistician, and data scientist.
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.
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