Sat.Jul 06, 2019 - Fri.Jul 12, 2019

Responsible Citizen Data Science. Yes, it is Possible.

Jen Underwood

by Jen Underwood. To retain market leadership in the algorithm economy, enterprises require new ways to maximize the value of data and AI with citizen data scientists. Don’t think citizen data science is. Read More.

Does your Backup have a Backup?


Backup is important for every enterprise environment because data has become an integral part of every industry. And with backups, enterprises can make sure they do not lose crucial data. But what if they lose their data and their backups? Troublesome thought, isn’t it?

14 Dashboard Design Principles & Best Practices To Enhance Your Data Analysis


The rise of innovative, interactive, data-driven dashboard tools has made creating effective dashboards – like the one featured above – swift, simple, and accessible to today’s forward-thinking businesses.

Strategy, Leadership, Culture & Innovation: Interview with Cary Correia, GE USA: Part 1


Drawing on over 30 years of experience, we caught up with our international keynote, Cary Correia, Chief Commercial Data Scientist, GE USA to share some golden nuggets on how to truly achieve a data-driven culture and become an intelligent enterprise.

Build Product Progress with a Strong Data Culture

Speaker: Nima Gardideh, CTO, Pearmill

Have you ever thought your product's progress was headed in one direction, and been shocked to see a different story reflected in big picture KPIs like revenue? It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you. Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why. Then, he'll explain how you can use your analytics to regularly review progress and successes. Finally, he'll discuss what you should keep in mind when instrumenting your analytics.

Heading for a Data Science Interview? 6 Things to Do 1 Day Before your Interview

Analytics Vidhya

Introduction You’ve finally done it! You have landed an interview for a data science role. Now, a day before your interview, you’re not sure. The post Heading for a Data Science Interview? 6 Things to Do 1 Day Before your Interview appeared first on Analytics Vidhya.

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Machine learning: Changing the Beauty Industry


Several years ago a friend of mine, who was a biologist, was talking about their weird experiments. They were shaving mice and if this was done this in a particular way, the mice remained bald for the rest of their short lives.

Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

Career Relevance. Definitions of terminology frequently seen and used in discussions of emerging digital technologies. NOTE: This page is a WIP = Work In Progress.). AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4) 4) Credit Card Fraud Alerts. (5)

21 Must-Know Open Source Tools for Machine Learning you Probably Aren’t Using (but should!)

Analytics Vidhya

Overview Presenting 21 open source tools for Machine Learning you might not have come across Each open-source tool here adds a different aspect to. The post 21 Must-Know Open Source Tools for Machine Learning you Probably Aren’t Using (but should!) appeared first on Analytics Vidhya. Big data Machine Learning Python Big Data tools data science data science tools machine learning Machine Learning tools python python tools reinforcement learning tools

Phocas celebrates 1000 customers on cloud solution


Businesses seek tools to analyze data for improved decision making, and increasingly, they want to leverage cloud solutions to optimize operational efficiency. Phocas cloud data analytics is the combination of these two services.

What Is (and Isn’t) Product Management?

Speaker: Steve Johnson, VP of Products, Pragmatic Institute

Product Management is one of the most exciting - and most misunderstood - functions in technical organizations. Is it strategic or tactical? Is it a planning role or a support role? Many product professionals are unclear about what is (and isn't) product management. After all, product management spans many activities from business planning to market readiness. In this session, we’ll examine many product activities and artifacts for product strategy, planning, and growth, and introduce a simple tool that you can use in your organization to clarify the roles of product management and others. Steve Johnson explores the many roles of Product Management in this fun talk focused on why product managers should obsess on problems instead of solutions.

Data Veracity: a New Key to Big Data


In his speech at Web Summit 2018, Yves Bernaert, the Senior Managing Director at Accenture, declared the quest for data veracity that will become increasingly important for making sense of Big Data. In short, Data Science is about to turn from data quantity to data quality.

Technology Is Transforming the Real Estate Market

Smart Data Collective

Do you remember what it was like trying to buy a house before the days of online listings? If you were born after about 1980, you probably never experienced that.

8 Simple and Unique Data Science Projects to Create Art, Generate Music and Much More!

Analytics Vidhya

Overview Using data science algorithms to generate art and music? These 8 AI projects will blow your mind Tap into your creative and artistic. The post 8 Simple and Unique Data Science Projects to Create Art, Generate Music and Much More! appeared first on Analytics Vidhya.

Validate decisions with data


Do you ever make decisions on the run? Have you dropped the price on a product by a few percent for a good customer and then found they didn’t increase sales and you lost money?

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Dresner Advisory Services’ 2019 Wisdom of Crowds Data Catalog Market Study

The 3rd annual Dresner 2019 Wisdom of Crowds® Data Catalog Market Study explores the strong link between data catalogs and successful BI usage. Learn about the core set of capabilities that make data catalogs critical for self-service analytics.

How Big Data Can Help With Crop Yield


Agriculture has long been the backbone of a healthy civilization and with the capabilities technology currently offers, it would be irresponsible to not embrace an opportunity to unite both and maximize our efforts towards the improvement of sustainable farming.

How To Use Big Data To Deliver Optimized Customer Experiences

Smart Data Collective

Business success begins and ends with customer experience. According to recent studies, 90 percent of buyers would gladly spend more for a better customer experience. That’s exactly why understanding what an improved experience means for customers is so important.

How to Build an Effective Data Science Resume? 4 Key Aspects that Will Make or Break your Application

Analytics Vidhya

Overview How can you build an effective and powerful data science resume that will win over recruiters? Here are 4 key aspects you should. The post How to Build an Effective Data Science Resume? 4 Key Aspects that Will Make or Break your Application appeared first on Analytics Vidhya.

Using Strategic Data Governance to Manage GDPR/CCPA Complexity


In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. News broke earlier this week of British Airways being fined 183 million pounds – or $228 million – by the U.K.

The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.

7 Companies Protecting Your Food with Blockchain


Food is important and you are what you eat. Eating healthy and good food is important if you wish to be fit and healthy. Even if you have an unhealthy diet, the occasional big mac, you want your food to be of good quality.

A Practitioner’s Guide to Deep Learning with Ludwig

Domino Data Lab

Joshua Poduska provides a distilled overview of Ludwig including when to use Ludwig’s command-line syntax and when to use its Python API. Introduction. New tools are constantly being added to the deep learning ecosystem.

How Big Data Can Help Forex Traders And Brokers Build A Better Future

Smart Data Collective

It is no longer a secret that Big Data has left a major footprint on the financial market and has changed the way we interact with financial institutions. However, its influence goes much farther.

Our Commitment to Open Source Software


Open source has been core to the missions of both Hortonworks and Cloudera and central to our values and culture. With more than 700 engineers in the new Cloudera, our company writes a prodigious amount of open source code each year that’s contributed to more than 30 different open source projects. We’re also a very innovative open source company, having collectively launched more than a dozen new open source projects since the founding of the two companies. .

Your 2-Part Metrics Audit for High-Value Products

Speaker: Sam McAfee, Product Development Consultant, Startup Patterns

You know what they say: what's measured improves. As product managers we're in a golden age of being able to get all sorts of metrics and run all sorts of experiments. But what are your measurements and analytics focused on? Are they really truly objective? Do they contribute to the ultimate vision of your product? And is everybody clear on that vision? Join Sam McAfee, Product Development Consultant, as he takes you through a two-part measurement audit. First, you'll learn how to make sure your measurements actually align with your product strategy. And second, you'll learn how to evaluate your culture of using measurements, so future experiments will more consistently provide high-value results.

CASB: A Single Platform to Multiple Data Security Problems


With the advent of global scenarios such as globalization and the internet, there has been a rapid inflow of information and data. This is without a doubt the age of information and everyone in the world, ranging from MNCs and governments to SMEs and individuals rely heavily on data.

Data Science at The New York Times

Domino Data Lab

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. He covered examples of how his team addressed business problems with descriptive, predictive, and prescriptive ML solutions.

The Evolving Role Of Big Data In Accident Cost Containment

Smart Data Collective

Companies around the world are looking for ways to minimize the costs of accidents. Many regulators have found that the number of accidents in various industries is grossly unacceptable and have started imposing new penalties.

Business Architecture and Process Modeling for Digital Transformation


At a fundamental level, digital transformation is about further synthesizing an organization’s operations and technology, so involving business architecture and process modeling is a best practice organizations cannot ignore.

Measure the Immeasurable: Beyond Vanity Metrics

Speaker: Sari Harrison, Product Management Instructor, Product School

As a product manager, it's your job to realize your product’s vision by executing your chosen strategy. It’s also your job to deliver value to the business. Ultimately, these two outcomes are aligned so the temptation is to focus primarily on business metrics. Doing this can cause you to lose focus on the real value you are trying to achieve, in favor of moving the vanity metrics such as launches and time spent. Join Sari Harrison, Product Management Instructor at Product School, as she explains how to use immeasurable success criteria along with your more standard KPIs to deliver products that don't just get used a lot, but deliver real value.

Data Ownership Challenges and Controversies: 2019


Technology has rapidly advanced in the past decade, an impossible feat without the use of large quantities of data. But businesses and consumers alike are now talking about who owns this data — and what it's worth.

Working at Tamr: Meet our Summer Interns


Last month, we posted about what it’s like to work at Tamr — from our office vibe to the way we focus on career growth and collaboration.

The Dual Utilization of Big Data In SEO And UX

Smart Data Collective

Big data plays a prominent role in almost every facet of our lives these days. We are witnessing a growing number of companies using big data in healthcare , criminal justice and many other fields. One area that benefits from big data the most is website management and outreach.