datapine

OCTOBER 30, 2019

Historically, the terms data report or business report haven’t got the crowds excited. Data reports have always been important for businesses. However, they have been a necessary evil, created by analysts and consultants. The term usually conjures up images of static PDFs, old-school PowerPoint slides and big tables. Usually created with past data without the possibility to generate real-time or future insights, these reports were obsolete, comprised of numerous external and internal files, with

Reporting 127

Reporting Visualization Dashboards KPI 127

Analytics Vidhya

OCTOBER 14, 2019

Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including. The post Mathematics behind Machine Learning – The Core Concepts you Need to Know appeared first on Analytics Vidhya.

Machine Learning 307

Machine Learning Analytics 307

Corinium

OCTOBER 3, 2019

The benefits of becoming a data-driven organization are clear. Enterprises that succeed in creating data environments where innovation can flourish tend to have happier customers and generate more revenue as a result.

Data-driven 199

Data-driven Enterprise Digital Transformation Data Strategy 199

O'Reilly on Data

OCTOBER 31, 2019

People from across the TensorFlow community came together in Santa Clara, California for TensorFlow World. Below you’ll find links to highlights from the event. Opening keynote. Jeff Dean explains why Google open-sourced TensorFlow and discusses its progress. Watch “ Opening keynote “ Accelerating ML at Twitter. Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product.

IoT 198

IoT Machine Learning Modeling Software 198

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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?

Business Intelligence

KDnuggets

OCTOBER 7, 2019

Are you looking to learn natural language processing? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to learning NLP and its varied topics.

IT 123

IT 123

DataCamp

OCTOBER 1, 2019

This cheat sheet guides you through the basics of how data science can help your business, including building your data science team and the common steps in the data science workflow.

Data Science 111

Data Science 111

Analytics Vidhya

OCTOBER 13, 2019

Overview Knowledge graphs are one of the most fascinating concepts in data science Learn how to build a knowledge graph using text from Wikipedia. The post Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code) appeared first on Analytics Vidhya.

Data Science 302

Data Science Analytics Unstructured Data 302

Corinium

OCTOBER 31, 2019

For the UK and Europe’s most data-led companies, phase one of the data transformation is now complete. The strategies have been agreed, the foundations have been laid and the real work is well underway.

Data Transformation 186

Data Transformation Strategy Data Strategy 186

O'Reilly on Data

OCTOBER 17, 2019

People from across the AI world came together in London for the Artificial Intelligence Conference. Below you’ll find links to highlights from the event. When flying is cheaper than standing still. Raffaello D’Andrea presents his vision of how autonomous indoor drones will drive the next wave of robotics development. Watch “ When flying is cheaper than standing still “ When to trust AI.

Machine Learning 146

Machine Learning Structured Data 146

KDnuggets

OCTOBER 22, 2019

For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview is a road map for the history and current state of the expansive options for data storage and infrastructure solutions.

Management 121

Management Machine Learning Data Science 121

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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.

Data-driven

erwin

OCTOBER 3, 2019

Enterprise architecture (EA) benefits modern organizations in many ways. It provides a holistic, top down view of structure and systems, making it invaluable in managing the complexities of data-driven business. Once considered solely a function of IT, enterprise architecture has historically operated from an ivory tower. It was often siloed from the business at large, stifling the potential benefits of the holistic view it could have provided.

Enterprise 111

Enterprise Cost-Benefit Data-driven Risk 111

datapine

OCTOBER 10, 2019

If you want to convey crucial information to decision-makers in the easiest and most effective way possible, you need to embrace the power of interactive dashboards. A business dashboard offers at-a-glance insights based on key performance indicators (KPIs) and is an intuitive and visually pleasing way to consume data. Unlike early predecessors, they give presenters the ability to engage audiences with real-time data.

Dashboards 146

Dashboards Visualization Sales Metrics 146

Analytics Vidhya

OCTOBER 9, 2019

Overview Web scraping is a highly effective method to extract data from websites (depending on the website’s regulations) Learn how to perform web scraping. The post Hands-On Introduction to Web Scraping in Python: A Powerful Way to Extract Data for your Data Science Project appeared first on Analytics Vidhya.

Data Science 301

Data Science Analytics Machine Learning 301

Corinium

OCTOBER 28, 2019

The passing of the California Data Privacy Act and first wave of GDPR fines are clear signs that data leaders can’t afford to take their eyes of the ball when it comes to compliance and security.

IT 186

IT Data Governance 186

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.

Marketing

O'Reilly on Data

OCTOBER 17, 2019

This is a keynote highlight from the O’Reilly Artificial Intelligence Conference in London 2019. Watch the full version of this keynote on the O’Reilly online learning platform. You can also see other highlights from the event.

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132

KDnuggets

OCTOBER 21, 2019

If you are interested in learning more about the latest Youtube recommendation algorithm paper, read this post for details on its approach and improvements.

IT 123

IT 123

Ontotext

OCTOBER 10, 2019

What is AI? Defining artificial intelligence is tricky. Firstly, we aren’t agreed on what intelligence actually is, natural or artificial. The most famous test for artificial intelligence, the Turing Test, is little more than a process where, after asking a series of questions, a person decides if the thing they are interacting with seems intelligent or not.

Testing 109

Testing Interactive Data-driven IT 109

CIO Business Intelligence

OCTOBER 16, 2019

Business intelligence definition. Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts and maps to provide users with detailed intelligence about the state of the business.

Business Intelligence 108

Business Intelligence Dashboards Strategy Software 108

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

Business Intelligence

Analytics Vidhya

OCTOBER 2, 2019

Overview Here are eight ambitious data science projects to add to your data science portfolio We have divided these projects into three categories – The post Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub appeared first on Analytics Vidhya.

Data Science 304

Data Science Analytics Machine Learning Big Data 304

Corinium

OCTOBER 1, 2019

‘Ethics’, ‘strategy’ and ‘collaboration’ were the words on everyone’s lips when 115 data and analytics leaders descended on Berlin for CDAO Europe 2019 last week.

Strategy 191

Strategy Analytics Data Architecture Data Strategy 191

O'Reilly on Data

OCTOBER 31, 2019

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

Modeling 135

Modeling 135

KDnuggets

OCTOBER 2, 2019

Applying a clustering algorithm is much easier than selecting the best one. Each type offers pros and cons that must be considered if you’re striving for a tidy cluster structure.

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111

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.

Data-driven

erwin

OCTOBER 17, 2019

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. As enterprise architecture has evolved, so to have the use cases for enterprise architecture. Analyst firm Ovum recently released a new report titled Ovum Market Radar: Enterprise Architecture. In it, they make the case that enterprise architecture (EA) is becoming AE – or “architect everything” The transition highlights enterprise architect

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

Bruno Aziza

OCTOBER 13, 2019

You’ve read it in the papers. You’ve experienced it in life. Machines are taking over. And they are doing it fast. Siri turned 9 on October 4 (go ahead, ask her if you don’t believe me). Tesla’s first Autopilot program is also 9. And Alexa is less than 5 years old.

IT 104

IT 104

Analytics Vidhya

OCTOBER 16, 2019

Overview Swift is quickly becoming one of the most powerful and effective languages for data science Swift is quite similar to Python so you’ll. The post A Comprehensive Guide to Learn Swift from Scratch for Data Science appeared first on Analytics Vidhya.

Data Science 295

Data Science Analytics Machine Learning 295

Corinium

OCTOBER 16, 2019

One of the first questions new clients generally ask us is: “How do we maximize the value from our data?”.

Data Strategy 191

Data Strategy Strategy 191

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

O'Reilly on Data

OCTOBER 31, 2019

This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.

IoT 132

IoT 132

KDnuggets

OCTOBER 2, 2019

As data scientists who are the brains behind the AI-based innovations, you need to understand the significance of data preparation to achieve the desired level of cognitive capability for your models. Let’s begin.

Machine Learning 111

Machine Learning IT Modeling Data Science 111

erwin

OCTOBER 31, 2019

Happy Halloween! Do you know where your data is? What data you have? Who has had access to it? These can be frightening questions for an organization to answer. Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. In fact, we’ve seen some frightening ones play out already: Google’s record GDPR fine – France’s data privacy enforcement agency hit the tech giant with a $57 million penalty in earl

Data Governance 105

Data Governance Metadata Risk Data Lake 105

Domino Data Lab

OCTOBER 9, 2019

This article covers clustering including K-means and hierarchical clustering. A complementary Domino project is available. Introduction. Clustering is a machine learning technique that enables researchers and data scientists to partition and segment data. Segmenting data into appropriate groups is a core task when conducting exploratory analysis. As Domino seeks to support the acceleration of data science work, including core tasks, Domino reached out to Addison-Wesley Professional (AWP) Pearson

Statistics 100

Statistics Machine Learning Metrics Measurement 100

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The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

Visualization