August, 2019

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.

Five Ways AI is Changing Customer Service

Corinium

AI is transforming the customer service profession. Gartner predicts that 15% of all customer service interactions will be handled using AI by 2021. That means half of all enterprises could be spending more on AI than traditional mobile within two years. Artificial Intelligence

Artificial Intelligence and Big Data are Helping to Make Smart Cities

DataFloq

A smart city uses big data and artificial intelligence to build an infrastructure that enhances the living conditions of people. It is all about using advanced technology creatively so that the residents can live in the best possible conditions. .

Midway Dental uses data to take advantage of industry growth

Phocas

Midway Dental is a second-generation company and the fastest-growing full-service dental supply company in the United States. This growth has come from the consolidation of the industry and Midway supplying much larger customers.

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.

Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data.

More Trending

A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code

Analytics Vidhya

Overview What are loss functions? And how do they work in machine learning algorithms? Find out in this article Loss functions are actually at. The post A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code appeared first on Analytics Vidhya.

What is the difference between Shared Services today and Shared Services in 2007?

Corinium

In 2007 I was asked to produce an event around shared services. I was awe struck at how many developments there were in the industry at that time. There was all this talk about significant cost benefits, enhanced service quality and manageable challenges. This was an exciting time.

A Layman’s Guide to Data Science: How to Become a (Good) Data Scientist

DataFloq

How simple is Data Science? Sometimes when you hear data scientists shoot a dozen of algorithms while discussing their experiments or go into details of Tensorflow usage you might think that there is no way a layman can master Data Science.

Loeb Electric spots trends using data analytics

Phocas

As Loeb Electric grew and data inquiries increased, the company needed better technology. The company was ready to try a different approach to Excel and CRM for analysis and reporting.

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.

SaaS Dashboard Examples For Modern Business Management Practices

datapine

In the Age of Information, digital technologies have evolved to such an extent that a wealth of tools, applications, and platforms exists to enhance the way businesses operate in a number of areas.

How to Become More Marketable as a Data Scientist

KDnuggets

As a data scientist, you are in high demand. So, how can you increase your marketability even more? Check out these current trends in skills most desired by employers in 2019. 2019 Aug Opinions Advice Andriy Burkov Carla Gentry Data Science Skills Data Scientist

A Comprehensive Guide to Build your own Language Model in Python!

Analytics Vidhya

Overview Language models are a crucial component in the Natural Language Processing (NLP) journey These language models power all the popular NLP applications we. The post A Comprehensive Guide to Build your own Language Model in Python! appeared first on Analytics Vidhya.

Top 5 use cases for an open CRM platform

Corinium

Customer relationship management (CRM) is about knowing every critical piece of information about your customers. It’s absolutely necessary to have a CRM platform that can harness and manage data about your customers, no matter where it comes from.

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.

What Is IoT And How Will It Affect You?

DataFloq

In basic terms, the Internet of Things (IoT) are devices connected to each other via the Internet and sensors that we use in everyday life that respond to what we want. These special gadgets collect all data we make and share it with other gadgets and systems.

IoT 246

Increase data visibility into your business

Phocas

Business leaders want to make decisions faster and with more efficiency. Without visible data that is accessible and organized, it’s nearly impossible to make well-informed decisions.

How Data Analytics Tools Eliminate Business Owner Headaches

Smart Data Collective

Big data has the power to transform any small business. However, many small businesses don’t know how to utilize it. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today.

Understanding Cancer using Machine Learning

KDnuggets

Use of Machine Learning (ML) in Medicine is becoming more and more important. One application example can be Cancer Detection and Analysis. 2019 Aug Tutorials, Overviews Cancer Detection Healthcare Machine Learning Medical

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.

11 Important Model Evaluation Metrics for Machine Learning Everyone should know

Analytics Vidhya

Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, The post 11 Important Model Evaluation Metrics for Machine Learning Everyone should know appeared first on Analytics Vidhya.

The Fourth Industrial Revolution Risks Leaving Women Behind

Corinium

The Fourth Industrial Revolution is, ostensibly, upon us. The term was coined in 2016 by Klaus Schwab, the founder and executive chairman of the World Economic Form. Data Science Africa

Risk 195

How Companies Are Using Big Data to Boost Sales

DataFloq

Big data has already revolutionized several businesses across the globe. Big data technologies have been helping marketing and sales professionals better define products and services and managing sales network.

Sales 229

Are you treating your data as an asset?

Phocas

While most executives understand that their data is an asset, many haven’t harnessed the valuable insights accessible with a data analytics solution. The immense amount of data you generate may seem impossible to understand, but data analytics will transform it into clear, actionable information.

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.

Big Data Makes Black Hat Hackers More Terrifying Than Ever

Smart Data Collective

Big data is the lynchpin of new advances in cybersecurity. Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity.

The Easy Way to Do Advanced Data Visualisation for Data Scientists

KDnuggets

Creating effective data visualisations is a core skill for data scientists. This tutorial will guide you through how to easily develop interactive visualisations using the Python library plotly. 2019 Aug Opinions D3.js Data Visualization Jupyter Plotly

A Friendly Introduction to Real-Time Object Detection using the Powerful SlimYOLOv3 Framework

Analytics Vidhya

Overview Real-time object detection is taking the computer vision industry by storm Here’s a step-by-step introduction to SlimYOLOv3, the latest real-time object detection framework.

A matter of chickens and unicorns by Pieter Vorster

Corinium

Joining us at the Chief Data & Analytics Officer Melbourne (9-11 September), we are pleased to welcome Pieter Vorster, Executive General Manager, Customer Solutions & Insights at Bankwest. He shares his insight on the knowledge gap growing between decision-makers and data specialists.

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.

Serverless Computing — a New Business’ Little Helper

DataFloq

Several years ago commercial development of applications was an expensive process that required capital investment in hardware and software before a single line of code was generated.

Established BI solutions vs. in-house development

Phocas

Management teams are no longer questioning whether or not to dig into the data; rather it’s which is the best tool to use for their businesses: an established, dedicated data analytics solution or software developed in-house.

BI 139

Team TIBCO–SVB is Better Together

TIBCO

Here at TIBCO, we’re all about being better together. TIBCO knows that innovation does not happen in isolation—innovation is a team sport. When provided with the right tools, the right mindset, and the right teammates, the impact of innovation can change the game.