2019

How Do You Define Unfair Bias in AI?

DataRobot

Art is subjective and everyone has their own opinion about it. When I saw the expressionist painting Blue Poles , by Jackson Pollock, I was reminded of the famous quote by Rudyard Kipling, “It’s clever, but is it Art?” Pollock’s piece looks like paint messily spilled onto a drop sheet protecting the floor. The debate of what constitutes art has a long history that will probably never be settled, there is no definitive definition of art.

IT 84

Why Data Driven Decision Making is Your Path To Business Success

datapine

We read about it everywhere. The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. By leveraging the wealth of digital insights available at your fingertips and embracing the power of business intelligence , it’s possible to make more informed decisions that will lead to commercial growth, evolution, and an increased bottom line.

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The quest for high-quality data

O'Reilly on Data

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners.

Tukey, Design Thinking, and Better Questions

Simply Statistics

Roughly once a year, I read John Tukey’s paper “The Future of Data Analysis” , originally published in 1962 in the Annals of Mathematical Statistics. I’ve been doing this for the past 17 years, each time hoping to really understand what it was he was talking about. Thankfully, each time I read it I seem to get something new out of it. For example, in 2017 I wrote a whole talk around some of the basic ideas. Well, it’s that time of year again, and I’ve been doing some reading.

The 7 Ways to Source and Attract Diverse Technology Talent

Just talking about diversity and inclusion won’t move the needle. Diversity, equity, and inclusion efforts are at the forefront for organizations looking to recruit and retain top talent, but nowhere does this remain more of a challenge and opportunity than in the tech sector. In this guide, we provide seven strategies organizations can use to source and attract diverse tech talent.

How to Perfect Your Data Culture Recipe

Corinium

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

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Why a data scientist is not a data engineer

O'Reilly on Data

Or, why science and engineering are still different disciplines. "A A scientist can discover a new star, but he cannot make one. He would have to ask an engineer to do it for him.". Gordon Lindsay Glegg, The Design of Design (1969). A few months ago, I wrote about the differences between data engineers and data scientists. I talked about their skills and common starting points.

Strategy is Unleashing the Potential of Enterprise Data

Corinium

Enterprises across the globe are waking up to the fact that data is an asset that requires its own strategy. Those that treat it as such are now seeing substantial returns on their investments. Data Strategy

Analytics and Business Intelligence for a Data-Driven World

David Menninger's Analyst Perspectives

Ventana Research provides unique insight into the analytics and business intelligence (BI) industry. This is important, as its processes and technology play an instrumental role in enabling an organization’s business units and IT to utilize its data in both tactical and strategic ways to perform optimally. To accomplish this, organizations must provide technology that can access the data, generate and apply insights from analytics, communicate the results and support collaboration as needed.

Research quality data and research quality databases

Simply Statistics

When you are doing data science, you are doing research. You want to use data to answer a question, identify a new pattern, improve a current product, or come up with a new product. The common factor underlying each of these tasks is that you want to use the data to answer a question that you haven’t answered before. The most effective process we have come up for getting those answers is the scientific research process. That is why the key word in data science is not data, it is science.

The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

A next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. This new open data architecture is built to maximize data access with minimal data movement and no data copies.

Automating ethics

O'Reilly on Data

Machines will need to make ethical decisions, and we will be responsible for those decisions. We are surrounded by systems that make ethical decisions: systems approving loans, trading stocks, forwarding news articles, recommending jail sentences, and much more. They act for us or against us, but almost always without our consent or even our knowledge. In recent articles, I've suggested the ethics of artificial intelligence itself needs to be automated.

How Salesforce’s Tableau acquisition will impact IT

CIO

Salesforce.com’s $15.7 billion bid for Tableau Software has many organizations wondering how the proposed acquisition will impact their operations. According to industry analysts, it all depends on how your enterprise makes use of their respective platforms.

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5 Weird and Hilarious Uses of Data Science

Analytics Vidhya

Introduction “Ripley’s Believe or Not” features some of the weirdest and most bizarre facts from around the world. How about creating our own Ripley’s. The post 5 Weird and Hilarious Uses of Data Science appeared first on Analytics Vidhya. Beginner Entertainment Listicle Use Cases Applications of GANs bizarre Computer Vision data science deep learning funny funny data science NLP

An Introduction To Data Dashboards: Meaning, Definition & Industry Examples

datapine

“It is a capital mistake to theorize before one has data.”– Arthur Conan Doyle. Data is all around us. According to the EMC Digital Universe study, by 2020, around 40 trillion megabytes – or 40 zettabytes – will exist in our digital landscape. That’s an unfathomable amount of information. Data has changed our lives in many ways, helping to improve the processes, initiatives, and innovations of organizations across sectors through the power of insight.

How to Foster Data Culture (with Data Intelligence Technology!)

Speaker: Aaron Kalb, Co-Founder and CDAO at Alation

Watch Aaron Kalb, co-founder and CDAO at Alation, dive into the role of technology in shaping culture and show how a modern data catalog is helping innovative enterprises create thriving data cultures. Register for the webinar today!

How to overcome reporting challenges in your business

Phocas

The ability to generate accurate, relevant and timely reports is critical if a company is to remain competitive in today's marketplace. However, as many executives know, traditional (static) reporting methods have a range of shortcomings. In this blog we will discuss a few key solutions to the challenges of static reporting. Strategy, Management and Performance

The Top Seven Technology Trends for 2020

DataFloq

We have reached the end of 2019 and just like in previous years, I am looking ahead to see what organisations can expect next year. 2019 was the year of truth, with many enterprises developing blockchain proof of concepts, Google confirming a quantum supremacy breakthrough and more data breaches with the latest breach containing 1.2 billion records. Now for the 8th year in a row, I offer you my technology predictions for the next year, which I hope will help you prepare for 2020.

Glossaries of Data Science Terminology

Rocket-Powered Data Science

Here is a compilation of glossaries of terminology used in data science, big data analytics, machine learning, AI, and related fields: Glossary of common Machine Learning, Statistics and Data Science terms. Data Science Glossary on DataScienceCentral. Data Science Glossary. Machine Learning Glossary at Google. Glossary of Artificial Intelligence Terms (From A to Z). Big Glossary of Artificial Intelligence on Wikipedia. 28 Artificial Intelligence Terms You Need to Know.

Top 10 BI data visualization tools

CIO

There is golden knowledge in the sea of data that businesses are swimming in. Being able to fish out the business intelligence you need — when you need it — is the key to steering your ship. To read this article in full, please click here (Insider Story

Realizing the Benefits of Automated Machine Learning

How are organizations using machine learning and artificial intelligence (AI) to derive business value? Renowned author and professor Tom Davenport explains the rise of automated machine learning, its benefits, and success stories from businesses that are already using it.

Laying the Foundations for AI Success

Corinium

AI is now well into its ‘early adoption’ phase, with businesses throughout the Middle East and Africa clamoring to launch new initiatives. AI & Machine Learning

Data Management on Display at Informatica World 2019

David Menninger's Analyst Perspectives

This year, I attended Informatica World 2019, Informatica's annual user conference. The main focus this year was on the cloud with a heavy does of AI. Under that focus, Informatica's conference emphasized capabilities across six areas (all strong areas for Informatica): data integration, data management, data quality & governance, Master Data Management (MDM), data cataloging, and data security.

10 things R can do that might surprise you

Simply Statistics

Over the last few weeks I’ve had a couple of interactions with folks from the computer science world who were pretty disparaging of the R programming language. A lot of the critism focused on perceived limitations of R to statistical analysis. It’s true, R does have a hugely comprehensive list of analysis packages on CRAN , Bioconductor , Neuroconductor , and ROpenSci as well as great package management.

Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

How companies in Europe are preparing for and adopting AI and ML technologies. In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources.

Leading Advertising and Analytics Company Outperforms With a Graph Database

Xandr, a division of AT&T, has built an identity graph that connects information on people, households, and more. The company is using this graph to provide advertisers an ability to deliver commercials more successfully than ever before. Learn more.

An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP

Analytics Vidhya

Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing. The post An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP appeared first on Analytics Vidhya.

What is a business intelligence analyst? A role for driving business value with data

CIO Business Intelligence

Business intelligence (BI) analysts transform data into insights that drive business value. Through use of data analytics, data visualization and data modeling techniques and technologies, BI analysts can identify trends that can help other departments, managers and executives make business decisions to modernize and improve processes in the organization. The BI analyst role is becoming increasingly important as organizations move to capitalize on the volumes of data they collect.

Top 5 Tips For Conducting Successful BI Projects With Examples & Templates

datapine

BI projects aren’t just for the big fishes in the sea anymore; the technology has developed rapidly, the software has become more accessible while business intelligence and analytics projects implemented in various industries regularly, no matter the shape and size, small businesses or large enterprises. With the help of online data analysis tools , these kinds of projects have become easy to manage and agile in performance.

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7 metrics every sales manager must know and measure

Phocas

Sales managers need to be savvy and strategic to get ahead. Here's the 7 metrics every sales manager must know and measure. Job Role - Sales

What is Contextual Analytics? The Next Evolution of Embedded Analytics

Download this white paper to learn what contextual analytics is, how BI platforms like Yellowfin revolutionize the way users discover insights from their data with native contextual analytics, and how it adds value to your software solution by elevating the user experience.

5 Data Science Career Trends for 2020

DataFloq

Netflix reached its current level of success, as a popular streaming service and content creator, with its original show, House of Cards. The secret of the successful making of this popular TV show was the extensive data-research that went in. The platform used data science to leverage the huge quantities of data gathered by it to identify key elements – visual elements, actors, subject matter. Incorporating these elements made the show a success among the audience as well as critics.

Game (Theory) for AI? An Illustrated Guide for Everyone

Analytics Vidhya

Overview What is Game Theory? And how does it apply to artificial intelligence (AI)? Game theory for AI is a fascinating concept that we. The post Game (Theory) for AI? An Illustrated Guide for Everyone appeared first on Analytics Vidhya. Technique Artificial Intelligence Game Theory game theory for AI

Power BI vs. Tableau: Self-service analytics tools compared

CIO

Business intelligence (BI) and analytics platforms have long been a staple for business, but thanks to the rise of self-service BI tools, responsibility for analytics has shifted from IT to business analysts, with support from data scientists and database administrators.