Sat.Jul 27, 2019 - Fri.Aug 02, 2019

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A Data Science Leader’s Guide to Managing Stakeholders

Analytics Vidhya

Overview Managing the various stakeholders in a data science project is a must-have aspect for a leader Delivering an end-to-end data science project is. The post A Data Science Leader’s Guide to Managing Stakeholders appeared first on Analytics Vidhya.

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Data Virtualization: Thinking Outside the Bowl

Data Virtualization

Across all vertical markets, organizations adopt data virtualization as a core part of their IT infrastructure because data is becoming more distributed, more heterogeneous, and larger in volume.

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4 Data Goldmines Your Company Should Not Ignore

Smart Data Collective

In an earlier age, perhaps as little as a decade ago, businesses had to rely on intuition and educated guesses to guide their spending. The situation was famously captured by John Wanamaker, who said, “Half the money I spend on advertising is wasted; the trouble is, I don’t know which half.” Today, data is everywhere. Phones track our locations and our social media usage.

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Are Employees More Important To Your Business Than Customers?

Corinium

My key focus area is, and has always been, how the customer experience is founded upon the employee experience because I believe that focussing on your employees ultimately benefits your customers.

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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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7 Innovative Machine Learning GitHub Projects you Should Try Out in Python

Analytics Vidhya

Overview Looking for machine learning projects to do right now? Here are 7 wide-ranging GitHub projects to try out These projects cover multiple machine. The post 7 Innovative Machine Learning GitHub Projects you Should Try Out in Python appeared first on Analytics Vidhya.

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Master Salesforce Reports With Modern Reporting Tools – Examples And Templates

datapine

In a data-driven age, modern organizations need access to advanced data analytics solutions to help them improve the business in a wealth of key areas—Salesforce is one of those solutions. One of the world’s most popular cloud-based customer relationship management (CRM) platforms, the software is designed to help companies across sectors plan and optimize their sales processes.

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Shifting towards a more customer focused culture

Corinium

What is the biggest challenge you face within your role today and how are you looking to tackle it? I think a challenge faced by many more traditional organisations (including our own) is how to put a financial value on Customer Experience. Traditionally business cases are built on the financial value that can be derived from an initiative with specific expectations around pay-back time frames.

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OpenAI’s GPT-2: A Simple Guide to Build the World’s Most Advanced Text Generator in Python

Analytics Vidhya

Overview Learn how to build your own text generator in Python using OpenAI’s GPT-2 framework GPT-2 is a state-of-the-art NLP framework – a truly. The post OpenAI’s GPT-2: A Simple Guide to Build the World’s Most Advanced Text Generator in Python appeared first on Analytics Vidhya.

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The 5 Sampling Algorithms every Data Scientist need to know

MLWhiz

Data Science is the study of algorithms. I grapple through with many algorithms on a day to day basis so I thought of listing some of the most common and most used algorithms one will end up using in this new DS Algorithm series. This post is about some of the most common sampling techniques one can use while working with data. Simple Random Sampling Say you want to select a subset of a population in which each member of the subset has an equal probability of being chosen.

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7 Tips for Dealing With Small Data

KDnuggets

At my workplace, we produce a lot of functional prototypes for our clients. Because of this, I often need to make Small Data go a long way. In this article, I’ll share 7 tips to improve your results when prototyping with small datasets.

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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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Driving value and insight driven decision-making

Corinium

Tell us a bit about your background and how you ended up in your current role. I have always worked in software, but as technology moved on I spent more and more time in customer facing roles. I have been lucky to have experience of business operations across many countries and different styles of business which gives me a good understanding and perspective of what our customers are trying to achieve and the way in which we interact with them.

Software 150
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Building a Recommendation System using Word2vec: A Unique Tutorial with Case Study in Python

Analytics Vidhya

Overview Recommendation engines are ubiquitous nowadays and data scientists are expected to know how to build one Word2vec is an ultra-popular word embeddings used. The post Building a Recommendation System using Word2vec: A Unique Tutorial with Case Study in Python appeared first on Analytics Vidhya.

Analytics 301
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New Online Data Summit Coming Fall 2019

Data Science 101

A new online conference focused on cloud data technologies is coming this fall. It is not just a conference or webinar, it will be an interactive online platform. The focus of the event is data in the cloud (migrating, storing and machine learning). You can pre-register for the conference now. Some of the topics from the summit include: Data Science IoT Streaming Data AI Data Visualization.

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Understanding Tensor Processing Units

KDnuggets

The Tensor Processing Unit (TPU) is Google's custom tool to accelerate machine learning workloads using the TensorFlow framework. Learn more about what TPUs do and how they can work for you.

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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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The Biggest Challenges Faced In CX

Corinium

Tell us a bit about your background and how you ended up in your current role. I have over 15 years’ marketing experience within FMCG, Tourism and Financial Services. I’ve worked as a marketing generalist, but my real passion is for data-driven marketing; using data insights focusing on acquisition, nurture, loyalty building & churn reduction. Most of my career has been within the financial services industry.

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Why Consumer Data Privacy Is More Important Than Ever

Smart Data Collective

Your corporation might collect thousands of data points on your global customers, or your local business might simply maintain and regularly update an email list of your most interested buyers. Whether you fall into one of these extremes or somewhere in the middle, you’re responsible for collecting and maintaining consumer data. And these days, that data privacy matters more than ever before.

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Forrester 2019 Enterprise BI Platform Waves ™ Research Update

Boris Evelson

Forrester has just published 2019 refresh of out Enterprise Business Intelligence (BI) Platforms Waves ™. As the BI market and the technology continue to evolve, so does our research. This year we emphasized New market segmentation by Vendor-Managed vs. Client-Managed platforms, which roughly equated to on-premise vs. cloud based platforms, but not quite.

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Ten more random useful things in R you may not know about

KDnuggets

I had a feeling that R has developed as a language to such a degree that many of us are using it now in completely different ways. This means that there are likely to be numerous tricks, packages, functions, etc that each of us use, but that others are completely unaware of, and would find useful if they knew about them.

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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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How to Set Up Snowflake Elevated Accounts

CDW Research Hub

When planning for a cloud data warehouse such as Snowflake, it is important to have a strategic plan in place to initialize the environment for development, testing and production. Using standard patterns for this initialization is a best practice. Sirius is publishing a four-part series to demonstrate best practices in reusable patterns for initializing Snowflake environments.

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Today’s Biggest Cyber Security Threat is Inside Your Business

Smart Data Collective

Computer breaches from Russian or Chinese hackers get the headlines, but the reality is you are more likely to be a victim from an insider. It turns out that as much as 60 percent of all attacks were carried out by insiders – either overtly or inadvertently. The High Cost of Breaches. If it’s your business that falls victim, the cost can be high. Your company’s reputation can be damaged.

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Cloud Pak for Data on Red Hat OpenShift: The best of both worlds

IBM Big Data Hub

IBM’s integrated platform for Data & AI, which is 100% complimentary to Red Hat offerings. It runs on OpenShift today and has a hardware version called Cloud Pak for Data System. The beauty of Cloud Pak for Data is that it includes all of IBM’s strategic Data and AI services – including Watson – as one integrated offering. This allows customers to consume what they need in a cloud-native fashion on the infrastructure of their choice (on-prem, IBM Cloud, AWS, Azure and more) and build persona

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Pytorch Cheat Sheet for Beginners and Udacity Deep Learning Nanodegree

KDnuggets

This cheatsheet should be easier to digest than the official documentation and should be a transitional tool to get students and beginners to get started reading documentations soon.

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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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Leveling Up to Custom Actionable Analytic Apps with Sisense BloX

Sisense

Blog. As a Lead Analytics Developer working on Luzern’s Platform, I spend a good amount of time building and turning KPIs into meaningful visualizations that our clients use to connect and drive marketplace sales on Amazon. At Luzern, we leverage Sisense to provide white-labeled, embedded analytics to our clients on the data unified in Luzern’s platform.

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Why Data Analysis Is the Key to Link Building Success

Smart Data Collective

Link building is one of the best online marketing strategies in use today, thanks to its synergy with other marketing strategies and its incredibly high return on investment (ROI). Link building basics are easy to grasp, even if you’re completely new to the strategy, but if you want to succeed long-term, you’ll need something more: the ability to measure and analyze data related to your campaign.

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3 business realities fueling the need for enterprise data preparation

IBM Big Data Hub

The pressure is rising for business users, automation, and governed data lakes to drive business value. Learn how enterprise data preparation fits in.

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How a simple mix of object-oriented programming can sharpen your deep learning prototype

KDnuggets

By mixing simple concepts of object-oriented programming, like functionalization and class inheritance, you can add immense value to a deep learning prototyping code.

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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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The latest edition of The Data & Analytics Dictionary is now out

Peter James Thomas

After a hiatus of a few months, the latest version of the peterjamesthomas.com Data and Analytics Dictionary is now available. It includes 30 new definitions, some of which have been contributed by people like Tenny Thomas Soman, George Firican, Scott Taylor and and Taru Väre. Thanks to all of these for their help. Analysis. Application Programming Interface (API).

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Big Data Meets Divorce: How Companies Take Advantage Of Life Changes

Smart Data Collective

Big data is everywhere. Each time you swipe a grocery store card, make a purchase online or buy from a big-box store, your shopping habits are being stored somewhere. What many consumers don’t realize is that companies are using this information to take advantage of their major life changes , including divorce. While divorce rates are down compared to 20 years ago, nearly 50% of all marriages will still end in a divorce in the U.S.

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Enterprise Data Strategy: The Upside of Scarce Funding

Teradata

In a cost-cutting culture, directly linking data projects to top business initiatives is a good way to keep them from getting clipped. Learn more.

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A 2019 Guide to Object Detection

KDnuggets

Object detection has been applied widely in video surveillance, self-driving cars, and object/people tracking. In this piece, we’ll look at the basics of object detection and review some of the most commonly-used algorithms and a few brand new approaches, as well.

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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.