May, 2018

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Hadoop Evolved: How Industries Are Being Transformed By Big Data

Dataconomy

A 50-year-old man runs on the treadmill and receives an alert on his Apple Watch. The message tells him to get off immediately because his pulse is abnormally high, which puts him at risk of a heart attack. Such a scenario is not far off thanks to Pontem, a platform. The post Hadoop Evolved: How Industries Are Being Transformed By Big Data appeared first on Dataconomy.

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Building a Strong Data Science Team Culture

Eugene Yan

Culture >> Hierarchy, Process, Bureaucracy.

professionals

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Rapid NLP annotation

Explosion

This talk presents a fast, flexible and even somewhat fun approach to named entity annotation. Using our approach, a model can be trained for a new entity type in only a few hours, starting from only a feed of unannotated text and a handful of seed terms.

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PyData Amsterdam 2018

Depends on the Definition

Last weekend I participated at the PyData Amsterdam 2018 Conference in, you guess it, in Amsterdam. It has been a great conference and I meet a lot of great people and had a very good time in Amsterdam.

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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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Fascinating 2018 Gartner Critical Capabilities Results for Analytics and BI

DataRobot Blog

by Jen Underwood. Earlier this month without nearly the grandiose fanfare or market madness of Gartner Magic Quadrant releases, the Gartner Critical Capabilities for Analytics and Business Intelligence Platforms Report 2018 was quietly. Read More.

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Multi-Modal Methods: Visual Speech Recognition (Lip Reading)

ML Review

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Readers are encouraged to view the piece through our website for the best experience: [link] Part One: Visual Speech Recognition (Lip Reading) Part Two: Image Captioning (From Translation to Attention) Feedback and comments are welcomed, either

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Machine Learning to Mineral Tracking: The 4 Best Data Startups From CUBE Tech Fair 2018

Dataconomy

Great tech events often feature a stunt or two that attendees will be talking about long after the conference hall has closed its doors; on this front, CUBE Tech Fair 2018 certainly delivered. Attendees got to witness an audience member pilot a drone with his mind (thanks to Emotiv’s President. The post Machine Learning to Mineral Tracking: The 4 Best Data Startups From CUBE Tech Fair 2018 appeared first on Dataconomy.

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To Avoid Cyberattacks, You Must Clean Your Data. Here’s Why.

Dataconomy

How clean is your data? If you don’t already know the answer to that question, you might be in some trouble – especially if you become the target of a cyberattack. While 2018 hasn’t seen any cyberattacks on the level of WannaCry just yet, the year is still young. I. The post To Avoid Cyberattacks, You Must Clean Your Data. Here’s Why. appeared first on Dataconomy.

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6 Incredible HealthTech Devices of 2018

Dataconomy

With the way that technology is constantly evolving at such a quick pace, many incredible health devices have recently been invented with the purposes of saving and improving lives. We’ve already been exposed to multiple extraordinary health technologies in 2018, and there is plenty to look forward to. Thanks to. The post 6 Incredible HealthTech Devices of 2018 appeared first on Dataconomy.

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Blockchain Alone Can’t Solve the Facebook Data Privacy Problem

Dataconomy

Tech giants are in the dock, politicians are calling for Mark Zuckerberg’s head, and many Facebook users are so incensed about the misuse of their data that they’re thinking about deleting their accounts – perhaps, some time in the future, for at least a day or two. Meanwhile, blockchain is. The post Blockchain Alone Can’t Solve the Facebook Data Privacy Problem appeared first on Dataconomy.

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Get Better Network Graphs & Save Analysts Time

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.

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Food Delivery Via Drones: A Reality in Iceland

Dataconomy

Goldman Sachs predicts that a $100+ billion market opportunity for drones will exist until 2020 – and that’s not just for military usage. The aviation sector is clearly an attractive market capable of drawing in young entrepreneurial teams from across the world, such as the German startup AIRTEAM – an. The post Food Delivery Via Drones: A Reality in Iceland appeared first on Dataconomy.

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Zuckerberg’s False Promises: Examining The Ethics of Data in the Social Media Era

Dataconomy

During his appearance before the United States Senate’s Commerce and Judiciary committees, Facebook CEO Mark Zuckerberg did quite the job tiptoeing through a minefield of potentially threatening inquiries. Based on his answers, he either has no idea how the platform – which was founded controversially – works, or he blatantly. The post Zuckerberg’s False Promises: Examining The Ethics of Data in the Social Media Era appeared first on Dataconomy.

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The Definitive Guide to Building A No-Nonsense, Clutter-Free Knowledge Base

Dataconomy

Are you struggling to keep up with the increasing volume of support tickets clogging mailboxes and ticketing tools? Do you find yourself juggling with truckloads of manuals, flowcharts and other documentation at your organization? Don’t worry, you are not alone. Most organizations give utmost importance to streamlining their customer support. The post The Definitive Guide to Building A No-Nonsense, Clutter-Free Knowledge Base appeared first on Dataconomy.

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How Germany’s BDSG-neu Will Impact Mobile Data Collection

Dataconomy

Mobile adoption in Germany is rising — with smartphone user volumes tipping 59 million and set to reach 65 million in just four years. For companies, this swelling popularity is a gift – providing insight into customers’ online interactions and habits. However, the way they access this data is changing. The post How Germany’s BDSG-neu Will Impact Mobile Data Collection appeared first on Dataconomy.

Big Data 101
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Understanding User Needs and Satisfying Them

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.

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Embed, encode, attend, predict

Explosion

While there is a wide literature on developing neural networks for natural language understanding, the networks all have the same general architecture. This talk explains the four components (embed, encode, attend, predict), gives a brief history of approaches to each subproblem, and explains two sophisticated networks in terms of this framework.

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Infoworks Automated Big Data Engineering

DataRobot Blog

by Jen Underwood. Recently I engaged in a guided “hands-on” evaluation of Infoworks, a “no code” big data engineering solution that expedites and automates Hadoop and cloud workflows. Within four hours of logging. Read More.

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DataRobot Automated Machine Learning

DataRobot Blog

by Jen Underwood. DataRobot is the world’s most advanced automated machine learning platform. It empowers data analysts and data scientists to rapidly find key insights, hidden data patterns and make better predictions faster. Read More.

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Industry Pulse April 2018 Highlights

DataRobot Blog

by Jen Underwood. This past month we had news from SAS Global Forum, Microstrategy, Oracle, AWS, Google, Qlik Qonnections, Tableau and several other smaller vendors. Fallout from the March Facebook scandal continued while GDPR. Read More.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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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When Comparing Blockchains, Decentralization Comes in Degrees

Dataconomy

Word clouds are an easy way to see which topics within any subject are most prominent. Generate a word cloud from the Reddit cryptocurrency forum or an array of blockchain whitepapers, and one will quickly see that a single term – “decentralized” – is the biggest and boldest. It’s no. The post When Comparing Blockchains, Decentralization Comes in Degrees appeared first on Dataconomy.

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