Analytics Vidhya
APRIL 7, 2019
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.
Dataconomy
APRIL 11, 2019
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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Data Science 101
APRIL 12, 2019
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.
Smart Data Collective
APRIL 10, 2019
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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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Analytics Vidhya
APRIL 10, 2019
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.
DataRobot
APRIL 10, 2019
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?”.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
APRIL 12, 2019
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.
Victor Zhou
APRIL 10, 2019
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.
DataRobot
APRIL 12, 2019
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.
Depends on the Definition
APRIL 6, 2019
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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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Smart Data Collective
APRIL 12, 2019
Big data is frequently used to enhance social media marketing campaigns. However, data analytics can be just as important for customer retention. Social media has been central to customer service strategies for the past few years. However, some brands are taking a shot in the dark with it. They have found that more effective data analytics technology has made it easier for them to optimize customer service processes through social media.
DataCentric podcast
APRIL 11, 2019
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.
DataRobot
APRIL 9, 2019
Guest post by Dr. Chris Marshall, Associate Vice President, Big Data and Analytics, Cognitive Computing, IDC Asia/Pacific.
Smart Data Collective
APRIL 11, 2019
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
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Smart Data Collective
APRIL 12, 2019
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.
Smart Data Collective
APRIL 10, 2019
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.
Smart Data Collective
APRIL 9, 2019
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.
Smart Data Collective
APRIL 9, 2019
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.
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.
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