Sat.Oct 26, 2019 - Fri.Nov 01, 2019

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‘Phase Two’ of Europe’s Data Transformation

Corinium

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.

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Fundamentals of Data Mining

Data Science 101

Today we are generating data more than ever before. Over the last two years, 90 percent of the data in the world was generated. This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD).

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How To Create Data Reports That Will Skyrocket Your Business Performance

datapine

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
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Data Sources 101

KDnuggets

Data collection is one of the first steps of the data lifecycle — you need to get all the data you require in the first place. To collect the right data, you need to know where to find it and determine the effort involved in collecting it. This article answers the most basic question: where does all the data you need (or might need) come from?

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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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How to Make an Agile Team Work for Big Data Analytics

KDnuggets

Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value your Big Data products.

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PySpark for Beginners – Take your First Steps into Big Data Analytics (with Code)

Analytics Vidhya

Overview Big Data is becoming bigger by the day, and at an unprecedented pace How do you store, process and use this amount of. The post PySpark for Beginners – Take your First Steps into Big Data Analytics (with Code) appeared first on Analytics Vidhya.

Big Data 284

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Why Data Security Is Seen As a Value Creator

Corinium

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
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Data Governance Makes Data Security Less Scary

erwin

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

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Build Better and Accurate Clusters with Gaussian Mixture Models

Analytics Vidhya

Overview Gaussian Mixture Models are a powerful clustering algorithm Understand how Gaussian Mixture Models work and how to implement them in Python We’ll also. The post Build Better and Accurate Clusters with Gaussian Mixture Models appeared first on Analytics Vidhya.

Modeling 268
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“Human error”: How can we help people build models that do what they expect

O'Reilly on Data

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

Modeling 135
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌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.

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‘Phase Two’ of Europe’s Data Transformation

Corinium

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.

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5 Statistical Traps Data Scientists Should Avoid

KDnuggets

Here are five statistical fallacies — data traps — which data scientists should be aware of and definitely avoid.

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Here are 8 Powerful Sessions to Learn the Latest Computer Vision Techniques

Analytics Vidhya

Do you want to build your own smart city? Picture it – self-driving cars strolling around, traffic lights optimised to maintain a smooth flow, The post Here are 8 Powerful Sessions to Learn the Latest Computer Vision Techniques appeared first on Analytics Vidhya.

Analytics 259
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TensorFlow Lite: ML for mobile and IoT devices

O'Reilly on Data

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

IoT 132
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Marketing Operations in 2025: A New Framework for Success

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.

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Interview with: Amaresh Tripathy, Business Leader of Analytics at Genpact

Corinium

Tell us about your experience in working with the data analytics community at Genpact? Why do you like working in this space?

Analytics 150
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Predictions 2020: Distributed Ledger Technology Moves Beyond Proof Of Concept

Martha Bennett

In 2020 users of blockchain and distributed ledger technology will focus on operational matters, deployment flexibility and, interconnectivity. Read our 2020 predictions to learn more.

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Top Machine Learning Software Tools for Developers

KDnuggets

As a developer who is excited about leveraging machine learning for faster and more effective development, these software tools are worth trying out.

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TensorFlow World 2019 opening keynote

O'Reilly on Data

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

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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eLearning Learning Blog Post

Corinium

We are thrilled to partner with eLearning Learning for our upcoming Chief Learning Officer, APEX Fall 2019 conference!

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Did You Know Atlas Can Also Fix Your Reporting Challenges?

Jet Global

Many of our legacy Atlas users know us for the ability to import back into Dynamics AX/365. But Atlas is so much more than this! Atlas is a single solution for reporting and uploading with Dynamics AX/365. If you are currently running Atlas and don’t know how we can easily help you to solve some of your reporting challenges, this webinar is exactly for you!

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How to Build Your Own Logistic Regression Model in Python

KDnuggets

A hands on guide to Logistic Regression for aspiring data scientist and machine learning engineer.

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TensorFlow Hub: The platform to share and discover pretrained models for TensorFlow

O'Reilly on Data

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

Modeling 131
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

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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HR Tech Central Blog Post

Corinium

We are thrilled to partner with HR Tech Central for our upcoming Chief Learning Officer, APEX Fall 2019 conference!

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3 Steps to an Effective Financial Statement Analysis

FineReport

In general, Financial statement reports can show the enterprise’s financial situation, operating results, and cash flow. However, this is just a vague concept because the original data is unable to speak, and you cannot know the conclusion just from financial data. To let the data speak and reflect the enterprise’s financial situation and problems, you need to do an effective financial statement analysis and display financial statement reports in the right form and method.

Sales 74
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How Low Conversion Data Seriously Hinders Machine Learning

Smart Data Collective

Machine learning is changing the future of marketing in many beneficial ways. The Digital Marketing Institute reports that 97% of decision makers believe it is the future of marketing. There are a number of tactics that marketers can pursue to optimize campaigns with machine learning algorithms. However, some of these strategies are more limited then marketers would like to think.

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MLIR: Accelerating AI

O'Reilly on Data

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

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Launching LLM-Based Products: From Concept to Cash in 90 Days

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.

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Sustainable Behavior Change: Metrics, Measurements and Methods

Corinium

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How Bayes’ Theorem is Applied in Machine Learning

KDnuggets

Learn how Bayes Theorem is in Machine Learning for classification and regression!

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How to Streamline Report Management to Enhance Your Data-Driven Business

Sisense

Blog. A critical part of effectively exploring your data, transforming it into actionable insights, and enhancing decision-making for your business is being empowered to slice and dice your data, and be less dependent on technical resources for new updates. Improved visibility into insights will enable you to get more out of them. And as the business users, you’re best placed to identify which of them most closely meet your organization’s needs.

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TFX: An end-to-end ML platform for everyone

O'Reilly on Data

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

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.