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 Blog

We read about it everywhere. The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason.

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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.

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

Supply Chain Strategy (And Why Yours Isn't Working)

Speaker: Michelle Meyer, Founder and CEO of MatterProviders

Michelle Meyer is here to walk you through the future of supply chain strategy, and why your current approach is probably not working. In this exclusive webinar, she will explore ways to develop and perfect your new supply chain strategy in this post-pandemic era of uncertainty.

Waterfall to Agile: A Necessary Mindset Shift For Business Analysts

BA Learnings

I tend to describe the agile approach as a way of working; A targeted way of working that allows us to make changes, respond to customers’ needs and manage uncertainty with minimal delays, and without needing to wade through “red tape”.

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.

More Trending

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.

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.

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.

Five strategic benefits of business analytics

Phocas

Business analytics can provide companies with an accurate and holistic view of their business.

The Top 5 Business Outcomes Companies Can Achieve From Monitoring Consolidation

In this eBook, learn what the top five business outcomes are that organizations see when leveraging Datadog's end-to-end monitoring tool.

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.

Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. At present, around 2.7 Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. By gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish.

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

How Blockchain and IoT Can Defeat Counterfeiting in the Fashion Industry

DataFloq

Imitation is the sincerest form of flattery. But brands that lose billions to counterfeit products don’t feel it that way. . Cambridge dictionary defines counterfeiting as “something that is made to look like the original of something else, usually for dishonest or illegal purposes”.

IoT 279

5 Powerful Prescriptive Analytics Examples in Supply Chain

Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing a recommended action. Supply chain, with its complex planning questions, is typically an area where optimization technology is required. Read about 5 use cases.

Ten Trends of Blockchain in 2020

DataFloq

Big Data is Transforming the Financial Industry at its Core

DataFloq

Earlier this year, Investopedia published a very insightful article on the intersection of big data and the financial industry. Big data is changing every facet of the financial industry, from insurance actuary processes to the management of the stock market.

4 Steps to Digitally Transform Your Business

DataFloq

According to McKinsey, data-driven organisations are 23x more likely to acquire customers, 6x more likely to retain customers and 19x more likely to be profitable. Being data-driven is good for business.

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.

Gain a Competitive Edge: The Importance of a Supplier Diversity Program

Speaker: Rod Robinson, SVP of the Supplier Diversity Practice, Insight Sourcing Group

In this exclusive webinar, Rod Robinson, SVP of the Supplier Diversity Practice Lead & Center of Excellence at Insight Sourcing Group, dives into the key benefits corporations are seeing emerge from their supplier diversity programs, and how you can gain unique competitive advantages with a supplier diversity program of your own.

The road to Software 2.0

O'Reilly on Data

Roughly a year ago, we wrote “ What machine learning means for software development.” In that article, we talked about Andrej Karpathy’s concept of Software 2.0. Karpathy argues that we’re at the beginning of a profound change in the way software is developed.

What You Need to Know Before You Implement ETL in Your Company

DataFloq

Data is the new oil -- pretty sure you have heard that like a million times by now. But it's true -- the information is, indeed, among the most precious commodities in the world.

Stock Coverage: days cover calculation and other stock metrics

Phocas

Anyone who manages inventory is familiar with stock coverage. The question is, how do you measure 'days cover calculation' and other useful inventory metrics. Industry - Wholesale Distribution Job Role - Inventory/Operations

5 Key Reasons Why Data Scientists Are Quitting their Jobs

Analytics Vidhya

Introduction The stock of a data scientist is at an all-time high right now. There aren’t too many professions out there that can rival. The post 5 Key Reasons Why Data Scientists Are Quitting their Jobs appeared first on Analytics Vidhya.

Modernizing Workloads with the Cloud: How to Improve Performance & Reduce Costs

In this eBook, you’ll learn how to migrate workloads to Azure and optimize performance for your serverless and containerized applications in Azure.

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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How Data Democratization Will Transform Banking

Corinium

Data culture has become a huge focus for data leaders in recent years. It’s clear that data leaders will only be able to maximize the value of their companies’ data assets if they can get frontline staff to adopt new, data-driven ways of thinking and working.

5 Ways AI and Big Data Are Changing the Customer Experience

DataFloq

AI-driven technologies (e.g., natural language processing and machine learning) are now used in many customer service applications to help brands deliver an outstanding customer experience that will drive sales and increase customer retention.

How to Gain Real Business Value from the Internet of Events

DataFloq

Most companies today rely heavily on analytics, and those that can effectively understand massive amounts of data can stay on top of their industry. In just a few years, our society shifted from “analog” to “digital.”

Getting Started With Scenario Modeling in Supply Chain Network Design

To build your supply chain’s agility and responsiveness, you need to look at scenarios more frequently instead of relying on a single plan. Let’s explore how you can apply scenario modeling in supply chain network design.

3 Reasons Your “Little” Data is a Big Deal

DataFloq

Big data is no longer some nascent trend riding a cycle of media hype. It’s here to stay, and it’s transforming how businesses make decisions, build products, and engage customers.

5 industries that are using Artificial Intelligence the most

DataFloq

Ever since the Industrial Revolution (IR) 4.0 has kicked in, it’s been like a rain fire of emerging technologies and surprisingly most of them are interconnected and work in tandem with each other.

Historical Databases: Becoming a Thing of the Past?

David Menninger's Analyst Perspectives

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. These seemingly ever-increasing volumes of devices and data streams offer both challenges and opportunities to capture information about a business and improve its operations.

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.

Secure Your Supply Chain: How to Build Resiliency for the Future

Speaker: Bart Huthwaite, Principal, RSM, Operations and Supply Chain

In this webinar, Bart Huthwaite will explore best practices in building and improving supply chain resilience for a successful and productive future.