INDUSTRY INSIGHTS YOUR PEERS ARE READING
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 MORE
Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected increase. Data now streams into organizations from myriad sources, among them social media feeds and internet-of-things devices. MORE
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. MORE
Big data is the lynchpin of new advances in cybersecurity. Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. MORE
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
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. MORE
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. MORE
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. MORE
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 MORE
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. MORE
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. MORE
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. MORE
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 MORE
107 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 MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. . MORE
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. MORE
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 MORE
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. MORE
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. MORE
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. MORE
Analytics Vidhya
AUGUST 1, 2019
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.
Corinium
AUGUST 16, 2019
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
DataFloq
AUGUST 2, 2019
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. .
Phocas
AUGUST 6, 2019
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.
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.
datapine
AUGUST 14, 2019
Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data.
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Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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Analytics Vidhya
AUGUST 13, 2019
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.
Corinium
AUGUST 12, 2019
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.
DataFloq
AUGUST 7, 2019
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.
Phocas
AUGUST 13, 2019
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.
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.
datapine
AUGUST 7, 2019
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.
KDnuggets
AUGUST 16, 2019
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
Analytics Vidhya
AUGUST 7, 2019
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.
Corinium
AUGUST 11, 2019
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.
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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.
DataFloq
AUGUST 1, 2019
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.
Phocas
AUGUST 15, 2019
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.
Smart Data Collective
AUGUST 7, 2019
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.
KDnuggets
AUGUST 16, 2019
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
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.
Analytics Vidhya
AUGUST 5, 2019
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.
Corinium
AUGUST 6, 2019
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
DataFloq
AUGUST 9, 2019
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.
Phocas
AUGUST 4, 2019
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.
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.
Smart Data Collective
AUGUST 8, 2019
Big data is the lynchpin of new advances in cybersecurity. Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity.
KDnuggets
AUGUST 13, 2019
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
Analytics Vidhya
AUGUST 6, 2019
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.
Corinium
AUGUST 4, 2019
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.
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.
DataFloq
AUGUST 12, 2019
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.
Phocas
AUGUST 11, 2019
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.
TIBCO
AUGUST 14, 2019
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.
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