Trending Articles

Enterprise Architecture is Dead! Long Live Agile EA!

Corinium

Republished courtesy of Suren Pillay. Orginally published here: [link]. Join Suren at Future Enterprise Systems Africa 2019, 16-17 October, Focus Rooms Sunninghill, Johannesburg ( www.fes-africa.com ). FESA Insights

AI Demystification: On Human-Machine Cooperation

DataFloq

Sci-Fi writers, futurologists and IT researchers and practitioners sometimes conceptualize ‘human-level AI’ as the Holy Grail of AI research. The idea of symbiosis between humans and machines is also settled in mass conscience creating new hopes and new phobias.

10 Powerful Python Tricks for Data Science you Need to Try Today

Analytics Vidhya

Overview Presenting 10 powerful and innovative Python tricks and tips for data science This list of Python tricks contains use cases from our daily. The post 10 Powerful Python Tricks for Data Science you Need to Try Today appeared first on Analytics Vidhya.

How to be more effective at execution in a wholesale business

Phocas

Speed may never be more important to your business than it is today. The right data analytics solution can help your team to react quickly to the needs of your customers and the changes in your industry, products and suppliers that influence your business.

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.

Take Advantage Of The Top 16 Sales Graphs And Charts To Boost Your Business

datapine

Billionaire Tilman Fertitta walks into the room. You can’t believe this heavyweight, the CEO and sole owner of multiple restaurant franchises, has given you the time of day. Tilman sits down, settles himself, and glances at the clock.

Sales 146

More Trending

Automated Business Analysis Is Spotting Insights Humans Missed

Corinium

Data overload is a growing problem for enterprise businesses. Analysis teams must often work manually to navigate seas of data and generate the specific insights their colleagues request.It can take multiple analysts weeks to gather, integrate and process the data they need.

What Does the Marriage of Data Analytics and Robotics Bring?

DataFloq

They say robots are conquering the world, and there is some truth in it. Statista expects the robotics market to grow at an annual rate of around 37.4%. If the trend remains, by 2025 the market size will reach almost 500 billion U.S. dollars.

Integrating your tech: is your stack working together to deliver data results?

Phocas

In a manufacturing or wholesale business, there is a lot of information to keep track of. As an IT manager, you might find that everyone is looking to you for all the answers too, which can be stressful.

Big Data Ingestion: Parameters, Challenges, and Best Practices

datapine

Businesses are going through a major change where business operations are becoming predominantly data-intensive. As per studies , more than 2.5 quintillions of bytes of data are being created each day. This pace suggests that 90% of the data in the world is generated over the past two years alone.

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.

The Most Comprehensive Guide to K-Means Clustering You’ll Ever Need

Analytics Vidhya

Overview K-Means Clustering is a simple yet powerful algorithm in data science There are a plethora of real-world applications of K-Means Clustering (a few. The post The Most Comprehensive Guide to K-Means Clustering You’ll Ever Need appeared first on Analytics Vidhya. Machine Learning Python clustering kmeans kmeans clustering kmeans in python machine learning python unsupervised learning

Data: The New Weapon Against our Humanity

Corinium

What does a new device, downloading of an app, signing up on a platform all have in common……the “accepting” of t’s & c’s.

IT 195

Why non Data Scientists can lead Data Science teams

DataFloq

I recently discovered a LinkedIn debate over whether or not non-data scientists could lead data science teams. The debate was polarised between those arguing for technical knowledge & those who focussed on leadership skills.

[eBook] Run your business by your data: Electrical suppliers transform using data analytics

Phocas

According to IBISWorld the electrical wholesale industry generated $219bn in the last 12 months in the US, UK and Australia and has an expected annual grow rate of two per cent. Those using data analytics are reportedly getting a $9 return for every dollar spent.

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.

Top Handy SQL Features for Data Scientists

KDnuggets

Whenever we hear "data," the first thing that comes to mind is SQL! SQL comes with easy and quick to learn features to organize and retrieve data, as well as perform actions on it in order to gain useful insights. 2019 Aug Tutorials, Overviews Data Science Data Scientist SQL

IT 110

NLP Essentials: Removing Stopwords and Performing Text Normalization using NLTK and spaCy in Python

Analytics Vidhya

Overview Learn how to remove stopwords and perform text normalization in Python – an essential Natural Language Processing (NLP) read We will explore the.

Tackling the growing gap between technology and humans (Atlassian)

Corinium

CCO Melbourne CCO New Zealand CCO Sydney 2019

Learning, Innovation and Business Change

DataFloq

Creating new knowledge is an intuitive human endeavour and it brings value and change to individuals, companies and society by shedding light the patterns, practices, inconsistencies and paradoxes in the observed world.

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.

Power BI Project Good and Best Practices

Paul Turley

The purpose of this article is to outline a set of guidelines and recommended practices for managing Microsoft Power BI projects. This guide is primarily focused on the work performed by the IT-managed BI Solution Developers for formally-managed BI projects.

BI 103

Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens.

An Overview of Python’s Datatable package

KDnuggets

Modern machine learning applications need to process a humongous amount of data and generate multiple features. Python’s datatable module was created to address this issue. It is a toolkit for performing big data (up to 100GB) operations on a single-node machine, at the maximum possible speed.

Is Big Data Leading to More Quantitative Strategic Decision Making Models?

Smart Data Collective

Big data is changing the future of organizational decision making. Belkacem Athamena, a professor at Al Ain University of Science and Technology wrote a white paper on the evolution of big data in decision making.

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.

Managing High Availability in PostgreSQL – Part III: Patroni

DataFloq

In our previous blog posts, we discussed the capabilities and functioning of PostgreSQL Automatic Failover (PAF) by Cluster Labs and Replication Manager (repmgr) by 2ndQuadrant.

What Your Employees Need to Learn to Work With Data in the 21st Century

DataCamp

Hugo Bowne-Anderson, data scientist and host of our podcast DataFramed, deconstructs the essential topics and skills that employees need to know to work with data

Data Stewardship in the Age of Machine Learning

Tamr

Suppose you are a data steward, responsible for integrating a collection of data sources, S1, …, Sn. Historically, you would perform the following steps: Have your best programmer define a global schema GS, which the various sources will accommodate.

Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch

KDnuggets

Entirely implemented with NumPy, this extensive tutorial provides a detailed review of neural networks followed by guided code for creating one from scratch with computational graphs. 2019 Aug Tutorials, Overviews Backpropagation Neural Networks numpy Python

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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.

How Big Data Could Spare Seniors From A Terrifying Retirement Crisis

Smart Data Collective

Millman has introduced some articles on the benefits of big data in the retirement industry. Wade Matterson wrote an article on LinkedIn on the value of big data for solving the retirement riddle. A growing body of research shows that big data can be invaluable for people planning for retirement.

Why Breach and Attack Simulations are a Must for Cybersecurity

DataFloq

Due to the increasing risks brought about by cyberattack threats, cybersecurity has risen to the top of the agenda of most organizations. Companies are investing heavily in IT and cybersecurity solutions are expected to account a significant portion of overall spending.

The Incompatible Marriage of Data Visualization and VR

Perceptual Edge

Every once in a while, someone claims that data visualization can be enhanced when viewed in virtual reality (e.g., by wearing a VR headset). Not once, however, has anyone demonstrated any real benefits. If you think about it for a moment, this isn’t surprising.