Corinium

OCTOBER 16, 2019

One of the first questions new clients generally ask us is: “How do we maximize the value from our data?”.

Data Strategy 191

Data Strategy Strategy 191

datapine

OCTOBER 17, 2019

Management reporting is a source of business intelligence that helps business leaders make more accurate, data-driven decisions. But, these reports are only as useful as the work that goes into preparing and presenting them. In this blog post, we’re going to give a bit of background and context about management reports, and then we’re going to outline 10 essential best practices you can use to make sure your reports are effective.

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Reporting Management Dashboards KPI 263

Analytics Vidhya

OCTOBER 14, 2019

Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including. The post Mathematics behind Machine Learning – The Core Concepts you Need to Know appeared first on Analytics Vidhya.

Machine Learning 307

Machine Learning Analytics 307

Corinium

OCTOBER 15, 2019

I’ve spent the last few months chatting with all manner of information security professionals in developing my next agenda. Over the next few weeks, I’ll be dig a little into some of the topics and themes brought up during this research period, and share some uninitiated yet sanguine opinions.

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Advertiser: ZoomInfo

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

Sales

Andrew White

OCTOBER 14, 2019

A debate resurfaced in our team recently as we were discussing plans for research topics next year. I am not actually sure why we do such things; the ‘year’ is an artificial thing we created to organize certain activities. Often it is more a strait-jacket that prevents continuous processes like innovation. But I digress. We were discussion ideas and brainstorming how they connect and impact each other, and one of our team said, “The model doesn’t matter to me.

Strategy 69

Strategy Modeling Forecasting Marketing 69

O'Reilly on Data

OCTOBER 17, 2019

People from across the AI world came together in London for the Artificial Intelligence Conference. Below you’ll find links to highlights from the event. When flying is cheaper than standing still. Raffaello D’Andrea presents his vision of how autonomous indoor drones will drive the next wave of robotics development. Watch “ When flying is cheaper than standing still “ When to trust AI.

Machine Learning 161

Machine Learning Structured Data 161

Corinium

OCTOBER 14, 2019

Netflix’s recommendation engine may have made waves when the company’s streaming platform launched in 2010. But in the years that followed, the broadcast industry was surprisingly slow to adopt other AI or machine learning (ML) technologies.

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Broadcasting Machine Learning Technology 186

KDnuggets

OCTOBER 16, 2019

This post is about various evaluation metrics and how and when to use them.

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Metrics Machine Learning 123

O'Reilly on Data

OCTOBER 17, 2019

This is a keynote highlight from the O’Reilly Artificial Intelligence Conference in London 2019. Watch the full version of this keynote on the O’Reilly online learning platform. You can also see other highlights from the event.

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Analytics Vidhya

OCTOBER 16, 2019

Overview Swift is quickly becoming one of the most powerful and effective languages for data science Swift is quite similar to Python so you’ll. The post A Comprehensive Guide to Learn Swift from Scratch for Data Science appeared first on Analytics Vidhya.

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Data Science Analytics Machine Learning 298

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

Testing

Corinium

OCTOBER 18, 2019

Approaching an Artificial Intelligence (AI) Strategy while Accounting for Bias.

Strategy 150

Strategy 150

KDnuggets

OCTOBER 16, 2019

A guide covering the things you should learn to become a data scientist, including the basics of business intelligence, statistics, programming, and machine learning.

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Statistics Machine Learning Business Intelligence 123

CIO Business Intelligence

OCTOBER 16, 2019

Business intelligence definition. Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts and maps to provide users with detailed intelligence about the state of the business.

Business Intelligence 108

Business Intelligence Dashboards Strategy Reporting 108

Analytics Vidhya

OCTOBER 15, 2019

Overview Qlik is widely associated with powerful dashboards and business intelligence reports Did you know that you can use the power of Qlik to. The post Build your First Linear Regression Model in Qlik Sense appeared first on Analytics Vidhya.

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Modeling Business Intelligence Dashboards Reporting 248

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Strategy

Corinium

OCTOBER 14, 2019

Business Intelligence investment is booming. And, the amount of data available for reporting and analysis is skyrocketing. So, it’s never been harder, or more important, to quickly uncover and communicate the actionable insights within your data. But, how do you separate the gold from the guff, and deliver value from your BI deployment? Download this data visualization best practice guide – and learn how to choose, design and deliver the best visualizations to effectively communicate the signifi

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Visualization Metrics Business Intelligence Reporting 30

KDnuggets

OCTOBER 17, 2019

This post aims to make you get started with putting your trained machine learning models into production using Flask API.

Machine Learning 123

Machine Learning Modeling 123

erwin

OCTOBER 17, 2019

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. As enterprise architecture has evolved, so to have the use cases for enterprise architecture. Analyst firm Ovum recently released a new report titled Ovum Market Radar: Enterprise Architecture. In it, they make the case that enterprise architecture (EA) is becoming AE – or “architect everything” The transition highlights enterprise architect

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Enterprise Digital Transformation Data Governance Risk Management 106

Bruno Aziza

OCTOBER 13, 2019

You’ve read it in the papers. You’ve experienced it in life. Machines are taking over. And they are doing it fast. Siri turned 9 on October 4 (go ahead, ask her if you don’t believe me). Tesla’s first Autopilot program is also 9. And Alexa is less than 5 years old.

IT 104

IT 104

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Testing

Corinium

OCTOBER 13, 2019

The answer to creating an inclusive data culture is in your hands. At Yellowfin, we firmly believe that organisations are far more successful when all their people engage with data. And whilst this has always been the goal of organisations on their journey to being “data-led”, the reality is most are still a long way off. For this to happen, all decision makers need access to insights, in a way that they can understand, not just the data analysts.

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Recreation/Entertainment Dashboards Interactive Data-driven 150

KDnuggets

OCTOBER 14, 2019

As an engineer, scientist, or researcher, you may want to take advantage of this new and growing technology, but where do you start? The best place to begin is to understand what the concept is, how to implement it, and whether it’s the right approach for a given problem.

Technology 122

Technology IT 122

Smart Data Collective

OCTOBER 14, 2019

From the tech industry to retail and finance, big data is encompassing the world as we know it. More organizations rely on big data to help with decision making and to analyze and explore future trends. For current and future software development companies that want to be knowledgeable about using data and analysis, a few big data skillsets will help give them leverage in the coming year.

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Big Data Software Data mining Prescriptive Analytics 99

Juice Analytics

OCTOBER 15, 2019

I’m a big admirer of Nancy Duarte and her new book DataStory. One thing that Nancy knows is that data communication isn’t just about data visualization — any more than a movie is just about moving images. Audiences are moved by a movie because of so much more: storyline, characters, conflict, context, mood, specificity, meaning, and relatability. She makes this point in a recent HBR article The more data we collect, the more mind-boggling these figures become.

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Sales Measurement Visualization Marketing 89

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Reporting

DataRobot

OCTOBER 18, 2019

There have been anecdotal complaints that the postseason baseball is deader than its regular-season counterpart, so we used DataRobot to analyze 100k+ batted balls in 2019.

IT 15

IT 15

KDnuggets

OCTOBER 17, 2019

While the average salary for a Software Engineer is around $100,000 to $150,000, to make the big bucks you want to be an AI or Machine Learning (Specialist/Scientist/Engineer.).

Machine Learning 121

Machine Learning Software 121

Smart Data Collective

OCTOBER 14, 2019

Regardless of if you’re a data science professional or an IT department who wants to help your company have more successful data science projects, it’s essential to have some data science tools under your belt to avail of when needed. Here are some open-source options to consider. 1. Ludwig. Ludwig is a tool that allows people to build data-based deep learning models to make predictions.

Data Science 94

Data Science Machine Learning Big Data Interactive 94

Sisense

OCTOBER 16, 2019

Blog. A Three-Step Guide for BI Professionals. Launching a new business intelligence initiative or project can be tricky: while we’re staunch believers in agile BI and quick wins, it’s important for both the BI person and the business executives to first align their needs and expectations, and to understand what the organization hopes to achieve. The good news is, an efficient business analyst can get it done in a day or two.

Management 76

Management IT Dashboards Business Intelligence 76

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Optimization

Dataiku

OCTOBER 14, 2019

Roger Magoulas, VP of Radar at O'Reilly Media, Inc., asks: Why is the final mile such a challenge for so many organizations who are working on AI and machine learning? Dataiku Data Scientist Jed Dougherty has answers.

Machine Learning 14

Machine Learning Data Science 14

KDnuggets

OCTOBER 18, 2019

Read this quick overview of neural networks and learn how to implement your first in very few lines using Keras.

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Smart Data Collective

OCTOBER 14, 2019

Advances in mass storage and mobile computing brought about the phenomenon we now know as “big data.” These developments then ushered in solutions and tools that can process vast amounts of information — think terabytes of it or more — in real-time. That is how “big” the need for big data analytics came to be. More specifically, big data analytics offers users the ability to generate relevant insights from heaps of data.

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Big Data Data Analytics Analytics Unstructured Data 89

DataRobot

OCTOBER 17, 2019

In the past 12 months, artificial intelligence has become headline news, and not always for the right reasons. We’ve heard stories of sexist AI hiring algorithms , racist face detection algorithms , and AIs using your private social media data to influence elections. Embarrassing AI failures such as these can damage your reputation, incur regulatory penalties, and even negatively impact a company’s stock prices.

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence