Sat.Apr 06, 2019 - Fri.Apr 12, 2019

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Top 5 Interesting Applications of GANs for Every Machine Learning Enthusiast!

Analytics Vidhya

Introduction Can you guess what’s common among all the faces in this image? None of these people are real! These faces were generated by. The post Top 5 Interesting Applications of GANs for Every Machine Learning Enthusiast! appeared first on Analytics Vidhya.

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How can you be AI ready?

Dataconomy

Organizations implementing AI have increased by 270 per cent over the last four years, according to a recent survey by Gartner. Even though the implementation of AI is a growing trend, 63 per cent of organizations haven’t deployed this technology. What is holding them back: cost, talent shortage? For many. The post How can you be AI ready? appeared first on Dataconomy.

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Big Data Should be a Priority in Every College Curriculum

Smart Data Collective

As technology progresses, more companies are producing huge amounts of data as a by-product of their day-to-day operations. While I’m not one to claim that “most businesses are practically drowning” in a sea of data, it’s fair to say that companies wanting a long future had better start taking Big Data seriously. To put this in perspective, many pundits in the field predicted a few years back that Big Data will double in size every couple of years until 2020.

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Top Companies to work for if you are a data scientist

Data Science 101

LinkedIn’s 2017 report had put Data Scientist as the second fastest growing profession and it’s number one on 2019’s list of most promising jobs. There are three main reasons why data science has been rated as a top job according to research. Firstly, the number of available job openings is rapidly increasing and the highest in comparison to other jobs, data science has an extremely high job satisfaction rating, and the median annual salary base is undeniably desirable.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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DataHack Radio #21: Detecting Fake News using Machine Learning with Mike Tamir, Ph.D.

Analytics Vidhya

Introduction Fake news is one of the biggest scourges in our digitally connected world. That is no exaggeration. It is no longer limited to. The post DataHack Radio #21: Detecting Fake News using Machine Learning with Mike Tamir, Ph.D. appeared first on Analytics Vidhya.

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Velocity's Frequent Flyer Program Gains Better Insight and Greater Rewards

DataRobot

For a company that has a laser-like focus on delighting its customers, Velocity--the frequent flyer program of Virgin Australia--is constantly looking for new ways to improve members’ experience. CEO Karl Schuster and his team were constantly asking themselves, “How can we serve customers the best and most relevant offers that will deliver the most value for them?”.

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Prescriptive Analytics: An Introduction

DataRobot Blog

by Jen Underwood. Where descriptive analytics reveals what has happened in the past, prescriptive analytics delivers insight into optimizing future decisions. As data-driven organizations mature, they will begin to apply prescriptive analytics. This. Read More.

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Random Forests for Complete Beginners

Victor Zhou

In my opinion, most Machine Learning tutorials aren’t beginner-friendly enough. Last month, I wrote an introduction to Neural Networks for complete beginners. This post will adopt the same strategy, meaning it again assumes ZERO prior knowledge of machine learning. We’ll learn what Random Forests are and how they work from the ground up. Ready? Let’s dive in. 1.

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The Algorithmic Accountability Act of 2019: Taking the Right Steps Toward AI Success

DataRobot

This week, two U.S. senators have introduced a bill that would require large companies and specialist data traders to assess and manage the risks associated with automated decision systems.

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Is Cloud Communication A Good Alternative To Mobile Communications?

Smart Data Collective

Cloud technology is starting to have a major impact on the communications sector. Klaris Chua, a cloud communications expert, wrote a detailed overview of the trends in cloud communications in Martech Advisor. Most of her discussions focused on the implications of cloud solutions for email and interconnected apps. However, there is a growing demand for cloud VoIP services too.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Introduction to n-gram language models

Depends on the Definition

You might have heard, that neural language models power a lot of the recent advances in natural language processing. Namely large models like Bert and GPT-2. But there is a fairly old approach to language modeling that is quite successful in a way.

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April 11, 2019: Intel Throws a Party + Storage News + More!

DataCentric podcast

In this episode of the DataCentric podcast, hosts Matt Kimball and Steve McDowell (both from Moor Insights & Strategy) go deep on Intel's DataCentric Innovation Day, where Intel formally launches its new Cascade Lake Xeons, while also opening the kimono on Intel Optane DC Persistent Memory. Optane promises to be disruptive to storage and how the industry thinks about in-memory compute.

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Automating Machine Learning for Time Series – Navigating in the Valley of the Blind

DataRobot

Guest post by Dr. Chris Marshall, Associate Vice President, Big Data and Analytics, Cognitive Computing, IDC Asia/Pacific.

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6 Valuable Business Intelligence Lessons From Brexit

Smart Data Collective

Almost everyone has heard of Brexit, even if they aren’t directly feeling the change. The term has made news around the world almost immediately upon conception and hasn’t stopped circulating. For those not in the know, Brexit started as the 2016 vote for the United Kingdom to leave the European Union for a whole host of reasons. The vote was incredibly divisive.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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University Web Developer Programs Must Prep Students For Big Data Era

Smart Data Collective

Big data is playing a monumental role in economic development in 2019. It is being used in every industry from healthcare delivery to insurance modeling to political science. According to economic analysts, the market size for big data is currently estimated to be $203 billion. Unfortunately, there is a growing shortage of data scientists. As we pointed out in a previous post, a white paper from PwC shows that the time that it takes to fill a Data scientist job is twice as high as the national a

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What Cyber Criminals Can Do With Your Metadata

Smart Data Collective

We have read many articles and watched the news about hackers breaking into websites of unsuspecting corporations and small businesses more and more often. When that happens, tens of thousands of people are put at risk for identity theft when their metadata is stolen. What is metadata and how is it used? That is what this article is going to explain.

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iGaming Providers Turn To New Data Technology For Payment Solutions

Smart Data Collective

Over the last seven years, the iGaming industry has come a very long way. In 2019, it has become one of the largest industries in the world. It is comprised of several different online gambling sectors like the online casino sites that accept PayPal , live sports betting, and poker. Big data is going to have a large impact on the direction of this growing industry.

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3 Reasons Call Center Software Integration Is a Must in 2019

Smart Data Collective

With the growing prevalence of technology, more and more businesses are beginning to integrate digital channels in their customer service models. Call centers know that a poor customer experience is all it takes to lose a customer forever, while consistent bad service can ruin the center’s reputation. In order to stand out from competitors, call center software integration is a necessary addition to your call center’s customer service approach.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.