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.

Reporting 263

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

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

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

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.

Broadcasting 186

Broadcasting Machine Learning Technology 186

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 144

Machine Learning Structured Data 144

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.

Statistics 121

Statistics Machine Learning Business Intelligence 121

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 Software 108

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.

132

132

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.

Data Science 298

Data Science Analytics Machine Learning 298

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

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 114

Technology IT 114

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

Enterprise 106

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

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.

Modeling 241

Modeling Business Intelligence Dashboards Reporting 241

Advertisement

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

IT

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 110

Machine Learning Software 110

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.

Sales 74

Sales Measurement Visualization Marketing 74

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.

Big Data 73

Big Data Software Data mining Prescriptive Analytics 73

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.

73

73

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

Customer Analytics

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 119

Machine Learning Modeling 119

Jen Stirrup

OCTOBER 18, 2019

Here is my checklist of Azure infrastructure handy materials that I use for AZ101 students as homework or additional class learning. I was asked for this by one of my students and I thought I’d share it here. The focus here is on just some of the topics and it is not exhaustive: Azure Migrate. Azure Site Recovery. Disaster Recovery. Azure Migrate.

Metadata 67

Metadata Testing Reporting Management 67

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.

Big Data 69

Big Data Data Analytics Analytics Unstructured Data 69

IBM Big Data Hub

OCTOBER 14, 2019

We recommend Cloud Pak for Data to our clients who are considering machine-learning based Data analytics to get best ROI out of the volumes of data they accumulated over the years.

ROI 65

ROI Machine Learning Data Analytics Analytics 65

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

Data-driven

KDnuggets

OCTOBER 18, 2019

If you want to launch your data science skills into freelance work, then check out these important tips to help you kick start your next adventure in data.

Data Science 91

Data Science Consulting 91

Jen Stirrup

OCTOBER 14, 2019

As a freelance industry analyst who has worked with GigaOm , I’m pleased to see the GigaOM Transactional Field Test derived from the industry-standard TPC Benchmark E (TPC-E) report which compares Amazon Web Services Relational Database Service (AWS RDS) and Microsoft Azure SQL Database. It’s written by William McKnight and Jake Dolezal from GigaOm.

IT 67

IT Data mining Business Intelligence Testing 67

TDAN

OCTOBER 15, 2019

Data Leadership hasn’t really been addressed before in the way I am talking about it in my new book; it is not about data at all — it is all about changing people’s behavior. We know a few truths about people: 1. People resist change. 2. People are watching out for themselves above all else. […].

IT 66

IT Data Strategy Data Governance Business Intelligence 66

Andrew White

OCTOBER 15, 2019

It was a dream: to be able to read something about information theory and economics- from the IMF. If you are like me, grab a coffee and read The Economics and Implications of Data. First a most important quote from the paper: “…[D]ata has the potential to contribute to economic growth through its use as an input in the production of goods and services, and by facilitating firm productivity through learning by doing.”.

Strategy 63

Strategy Big Data Reporting Marketing 63

Advertisement

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

Strategy

KDnuggets

OCTOBER 14, 2019

Selecting the perfect machine learning model is part art and part science. Learn how to review multiple models and pick the best in both competitive and real-world applications.

Machine Learning 82

Machine Learning Modeling 82

erwin

OCTOBER 18, 2019

erwin positioned as a Leader in Gartner’s “2019 Magic Quadrant for Metadata Management Solutions”. We were excited to announce earlier today that erwin was named as a Leader in the @Gartner _inc “2019 Magic Quadrant for Metadata Management Solutions.”. The report, by the world’s leading research and advisory company, provides a detailed overview of the metadata management market, including evaluations of 18 vendors based on completeness of vision and ability to execute.

Metadata 63

Metadata Management Reporting Marketing 63

Jet Global

OCTOBER 15, 2019

Richard Sampson, SVP EMEA at insightsoftware, explains why the role of the CFO has expanded and how the CFO can become a storyteller when armed with the right data. Richard Sampson, SVP EMEA, insightsoftware. Decades ago, the perception of the CFO was as the “head bookkeeper” and in many organisations their strategic impact was limited to simply “looking at and presenting the numbers” and recommending departmental improvements.

Finance 63

Finance Reporting Dashboards Software 63

Andrew White

OCTOBER 16, 2019

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Lydia Clougherty Jones new note entered the charts last week at number 14 and in its second week stole the show and moved into top spot!

Analytics 59

Analytics Interactive IT 59

Advertisement

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

Analytics