Sat.Sep 07, 2019 - Fri.Sep 13, 2019

13 Analytics & Business Intelligence Examples Illustrating The Value of BI


Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success.

There is No Free Lunch in Data Science


There is no such thing as a free lunch in life or data science. Here, we'll explore some science philosophy and discuss the No Free Lunch theorems to find out what they mean for the field of data science. 2019 Sep Opinions Data Science Machine Learning Optimization

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A Data Scientist’s Guide to 8 Types of Sampling Techniques

Analytics Vidhya

Overview Sampling is a popular statistical concept – learn how it works in this article We will also talk about eight different types of. The post A Data Scientist’s Guide to 8 Types of Sampling Techniques appeared first on Analytics Vidhya. Statistics Descriptive statistics different kinds of sampling Inferential Statistics random sampling Sampling statistics

How Can Artificial Intelligence Help in Business?


Business intelligence meets Artificial Intelligence. Ask someone what springs to mind when they hear the words AI or Business Artificial Intelligence, and the first thing they might mention is a young Haley Joel Osment in the film version of AI.

Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? In which format? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently.

Interview with: Nadeem Asghar and Cindy Maike at Cloudera


Tell us about your experience in working with the data analytics community at Cloudera? Why do you like working in this space? Data Analytics Interview Insights

How pricing strategies work better with data analytics


Every company must have a strategy to price their goods. Your pricing strategy is a fundamental component to your marketing process as pricing can increase sales or send customers to your competitors.

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Artificial Intelligence in Future and Present


One of the most cherished dreams?—?and and fears?—?of of today is penetration of Artificial Intelligence in all aspects of our life. Books and movies about wars with robots, artificial masterminds and the forever changed Earth emerge every year to stir our imagination.

Interview with: Dr. Mike Kim, CTO and Co-Founder of


Tell us about your experience in working with the data analytics community at Outlier? Why do you like working in this space? From the very beginning of Outlier, I have really enjoyed collaborating with others in the data analytics community. Data Analytics Interview Insights

How IT Managers can slash reporting times


The IT manager is often burdened with ad hoc report requests and solving organizational data challenges. These tasks take you away from important jobs like improving the business by adding or upgrading systems or driving efficiencies with your tech stack. Job Role - IT

4 Key Aspects of a Data Science Project Every Data Scientist and Leader Should Know

Analytics Vidhya

Overview A data-science-driven product consists of multiple aspects every leader needs to be aware of Machine learning algorithms are one part of a whole. The post 4 Key Aspects of a Data Science Project Every Data Scientist and Leader Should Know appeared first on Analytics Vidhya.

The Best Sales Forecasting Models for Weathering Your Goals

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

5 ways Data Analytics is a Game Changer for the Insurance Industry


We are in the age of ‘Big Data’ and while it is becoming a big business in the emerging technological world, let us understand and get a deeper insight on what Data Analysis basically is. .

Conversational Computing and More News from Oracle Analytics Summit 2019

David Menninger's Analyst Perspectives

The Oracle Analytics Summit 2019 was the inaugural user event for Oracle Analytics customers, and they also broadcast the video for thousands of others. You can watch the keynote at [link].

Train sklearn 100x Faster


As compute gets cheaper and time to market for machine learning solutions becomes more critical, we’ve explored options for speeding up model training. One of those solutions is to combine elements from Spark and scikit-learn into our own hybrid solution.

WNS Analytics Wizard 2019: Top 3 Winners’ Solutions from our Biggest Data Science Hackathon

Analytics Vidhya

Overview Here’s a unique data science challenge we don’t come across often – a marketing analytics hackathon! We bring you the top 3 inspiring. The post WNS Analytics Wizard 2019: Top 3 Winners’ Solutions from our Biggest Data Science Hackathon appeared first on Analytics Vidhya. Analytics Vidhya Data Science data science hackathon datahack Hackathon hackathon solutions marketing analytics hackathon marketing hackathon

Future-Proofing Your Information Governance Strategy

Speaker: Crystal Cao, Lindsey Simon & Lisa Ripley

Join Onna and experts from Quip, Airbnb, and Oracle for this live webinar as they dive into proactive data deletion policies, retention strategies, and legal hold practices that are essential to a modern enterprise information governance strategy.

Descriptive Statistics in Python for Understanding Your Machine Learning Data


Statistics has its own significance in data science, but it’s not the only thing which data scientists have to deal with. Statistics are of two kinds – Bayesian and Classical.

Natural Language in Python using spaCy: An Introduction

Domino Data Lab

This article provides a brief introduction to natural language using spaCy and related libraries in Python. The complementary Domino project is also available. Introduction.

Many Heads Are Better Than One: The Case For Ensemble Learning


While ensembling techniques are notoriously hard to set up, operate, and explain, with the latest modeling, explainability and monitoring tools, they can produce more accurate and stable predictions. And better predictions can be better for business.

The Role of Big Data In The Maintenance Industry

Smart Data Collective

As industry buzzwords, “Big Data” is one of those phrases that has become seemingly ubiquitous. Everyone wants to be using big data to better their operation. The maintenance department is no exception to this trend.

The North Star Playbook

Every product needs a North Star. In this guide, we will show you the metrics product managers need to tie product improvements to revenue impact. If you are looking for a more-focused, less-reactive way to work, this guide is for you.

3 Ways to Support the Shift Towards Cloud-Based Systems in Digital Transformation


Cloud-based systems are becoming an integral part of digital transformation and data utilization for companies of all shapes and sizes. These systems allow for faster development and deployment, as well as increased revenue and reduced operating costs.

Semantic Search or Knowing Your Customers So Well, You Can Finish Their Sentences For Them


My great grandparents were married for more than sixty years. They had a telepathy that comes from living together that long. They could finish each other’s sentences or anticipate when one wanted a coffee or lunch. An exchange could go like this. Remember those figs?’ Grandma said.

Classification vs Prediction


It is important to distinguish prediction and classification. In many decision-making contexts, classification represents a premature decision, because classification combines prediction and decision making and usurps the decision maker in specifying costs of wrong decisions.

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How Big Data Is Transforming Social Media Marketing

Smart Data Collective

Big Data is among one of the most impressive tech advancements that have hit the marketing world in recent memory. While it has been tossed around as a buzzword in certain circles, Big Data is so much more than just a phrase.

How to Choose the Best Embedded Analytics Solution to Modernize Your Application

If you are looking to modernize your application to improve competitiveness, then one of the quickest wins you can have is to embed sophisticated analytics that will wow your existing and prospective customers.

The Fuzzy Line Between Good and Evil Data Science


The vast majority of people building analytics and data science processes have every intention of being good and ethical. As a result, most potentially unethical and evil processes arise in situations where that wasn’t the intention.

Exponential Organizations Start with Internal Business Process Modeling


Strong internal business process modeling and management helps data-driven organizations compete and lead. In short, an internal business process is a documented account of how things should be done to maximize efficiency and achieve a particular goal.

Scikit-Learn vs mlr for Machine Learning


How does the scikit-learn machine learning library for Python compare to the mlr package for R? Following along with a machine learning workflow through each approach, and see if you can gain a competitive advantage by knowing both frameworks.

5 Reasons Why You Should Store Big Data In The Cloud

Smart Data Collective

Gone are the days when storage of information can only be done with the traditional remote servers which are located in a secluded location. Today, the in-thing is cloud data storage where information and data are stored electronically online.

Machine Learning for Builders: Tools, Trends, and Truths

Speaker: Rob De Feo, Startup Advocate at Amazon Web Services

Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute. But that doesn’t mean machine learning techniques are a perfect fit for every situation (yet). So how can a startup harness machine learning for its own set of unique problems and solutions, and does it require a warehouse filled with PhDs to pull it off?

Smart & Reliable Transport Systems Based on the Internet of Things


No doubt, the Internet of Things (IoT) has brought a significant change in how we live, commute, and how we perform our daily activities through automated intelligence and fast connectivity. Travelers can book a schedule on their smartphones to plan their trip right from their house.

Five Steps for Building a Successful BI Strategy


We’ve been talking a lot recently about companies needing to use their data in order to stay in business in the future. We’ve even gone as far as saying that every company is a data company , whether they know it or not.

Common Machine Learning Obstacles


In this blog, Seth DeLand of MathWorks discusses two of the most common obstacles relate to choosing the right classification model and eliminating data overfitting. 2019 Sep Opinions Cross-validation Decision Trees Logistic Regression Machine Learning MathWorks Overfitting SVM

AI Drives The Inception Of Three Cutting-Edge Smart Home Products

Smart Data Collective

Artificial intelligence is coming to our homes. A growing number of people use smart devices that are developed with state-of-the-art AI technology. The market for smart homes is going to rise as new AI advances bring big changes to the industry.

B2B Pocket Playbook: End-to-End Guide to Sales Enablement

Sales enablement is the strategic process of providing sales teams with the content, guidance, and mentorship needed to engage targeted buyers. It’s all about equipping sales professionals with the tools they need to put their best-selling foot forward. And if sales teams want to continuously sell better -- and faster -- their sales enablement process must have a game-winning strategy. It's time for you to start selling smarter - and hitting your sales number - with the best B2B database in the market. Get started today.