December, 2016

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How Blockchains could transform Artificial Intelligence

Dataconomy

From Decentralized Model Exchanges to Model Audit Trails [This is based on a talk I first gave on Nov 7, 2016. Here are the slides.] In recent years, AI (artificial intelligence) researchers have finally cracked problems that they’ve worked on for decades, from Go to human-level speech recognition. A key piece. The post How Blockchains could transform Artificial Intelligence appeared first on Dataconomy.

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Product Classification API Part 2: Data Preparation

Eugene Yan

Cleaning up text and messing with ascii (urgh!

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Experiments in Handwriting with a Neural Network

Distill

Several interactive visualizations of a generative model of handwriting. Some are fun, some are serious.

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A Big Market For Big Data – An Outlook on 2017

Dataconomy

Another year, another stellar run for the tech world’s darling – data. Big Data analytics and Business Intelligence are both fueling the growth of Enteprises all over the world, and also getting heavy investment within the Big Data market. The ability to gain insights laying dormant in unstructured data is enabling organizations to compete and.

Big Data 196
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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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A Big Market For Big Data – An Outlook on 2017

Dataconomy

Another year, another stellar run for the tech world’s darling – data. Big Data analytics and Business Intelligence are both fueling the growth of Enteprises all over the world, and also getting heavy investment within the Big Data market. The ability to gain insights laying dormant in unstructured data is enabling organizations to compete and.

Big Data 195
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What are banks telling to their investors about FinTech?

Dataconomy

Interest in fintech disruption is at an all-time high, but who will be the winners and who the losers is far from clear. Banks themselves have been sending mixed messages. As a particularly high profile example, JP Morgan Chase CEO Jamie Dimon famously raised the alarm when he said in. The post What are banks telling to their investors about FinTech?

More Trending

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4 Ways Predictive Data Analytics Changes How Consumers Behave

Dataconomy

Smartphones have made it possible for businesses to monitor you at all times. Take a company like Google for example. You may look up the name of a restaurant over Google Search, turn on your navigation to the destination using Google Maps and perhaps also check for weather and traffic. The post 4 Ways Predictive Data Analytics Changes How Consumers Behave appeared first on Dataconomy.

Analytics 195
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4 Things Businesses Need to Know About Fintech

Dataconomy

The term ‘Fintech’, applies to a very broad range of innovative solutions for the financial sector. Because this term is so broad, it doesn’t just impact financial businesses. All kinds of companies must make financial decisions, accept payments, and pay invoices. Since new and cutting-edge financial tools may impact the. The post 4 Things Businesses Need to Know About Fintech appeared first on Dataconomy.

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This is the Data Science bootcamp that guarantees a data science job or a 100% tuition refund

Dataconomy

Springboard launches data science bootcamp with a job guarantee – Springboard is launching its Data Science Career Track — the first online data science bootcamp that offers a job guarantee to its graduates. The company tracked 50 of its graduates and saw that all 50 got a job within six. The post This is the Data Science bootcamp that guarantees a data science job or a 100% tuition refund appeared first on Dataconomy.

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The Rise of Insurtech in the Age of Algorithms

Dataconomy

Titled ‘Data Science for Banking & Insurance’, Dataiku’s free eBook includes recommendations, use cases, testimonials, and how-to checklists that enable you to make your mark in this new era of Fintech and Insurtech. Whether you are working in marketing, risk management, product design, finance, actuarial science, underwriting, or claim management, The post The Rise of Insurtech in the Age of Algorithms appeared first on Dataconomy.

Algorithm 189
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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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4 Things Businesses Need to Know About Fintech

Dataconomy

The term ‘Fintech’, applies to a very broad range of innovative solutions for the financial sector. Because this term is so broad, it doesn’t just impact financial businesses. All kinds of companies must make financial decisions, accept payments, and pay invoices. Since new and cutting-edge financial tools may impact the. The post 4 Things Businesses Need to Know About Fintech appeared first on Dataconomy.

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3 Things Every Business Needs to know About Second-Party Data Sharing

Dataconomy

As 2017 quickly approaches, businesses are focused more than ever before on gleaning insights from first-party, third-party and most recently, second-party data. Yes, that’s right – second-party data. Now, some of you might be wondering, What exactly is second-party data? Unlike first and third-party data, second-party data is shared between. The post 3 Things Every Business Needs to know About Second-Party Data Sharing appeared first on Dataconomy.

Big Data 180
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“Technology can free people from wage slavery” – An Interview with Xavier Damman, Open Collective

Dataconomy

Xavier Dammanis is an entrepreneur working on a new lightweight and transparent form of association to enable the Internet generation to fund communities in full transparency: Open Collective. He founded Tribal in 1999, a site that gathered student content from around Belgium that was published in a 30,000-circulation magazine distributed. The post “Technology can free people from wage slavery” – An Interview with Xavier Damman, Open Collective appeared first on Dataconomy.

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Our vision of the future: The Dataconomy Manifesto

Dataconomy

About us We are Europe’s leading media & events portal serving techies and entrepreneurs with in-depth insight, cutting-edge research, and established thought leadership on data-driven technology. We’ve worked on creating and cultivating a strong community of data enthusiasts both online and offline. Our Values & Goals: We pride ourselves in.

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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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How different companies think about Data Science

Dataconomy

Data science can mean something completely different depending on context. The problems you’ll face at an early-stage startup will be vastly different from the ones you’ll face at a Fortune 500 giant. Not only are there different roles in data science, there are also different companies with vastly different data. The post How different companies think about Data Science appeared first on Dataconomy.

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3 days to save you 2 years – An IoT Workshop with Alexandra Deschamps-Sonsino

Dataconomy

Dataconomy has joined forces with Alexandra Deschamps-Sonsino, one of the world’s leading IoT entrepreneurs and influencers, to run an exclusive, 3-day IoT workshop in Berlin, February 24-26, 2017. Alexandra will host an intensive course where she will provide guidance and share everything she knows about how to build a business that offers. The post 3 days to save you 2 years – An IoT Workshop with Alexandra Deschamps-Sonsino appeared first on Dataconomy.

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“The future of humanity is to direct one’s own evolution” – An Interview with Amal Graafstra

Dataconomy

Amal Graafstra is a double RFID implantee, author of the book RFID Toys, and TEDx speaker. His interest in biohacking, RFID, and NFC began in 2005 as a simple solution to a problem. He wanted easy access to his office. He explored biometric options only to find they were too. The post “The future of humanity is to direct one’s own evolution” – An Interview with Amal Graafstra appeared first on Dataconomy.

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4 Ways Predictive Data Analytics Changes How Consumers Behave

Dataconomy

Smartphones have made it possible for businesses to monitor you at all times. Take a company like Google for example. You may look up the name of a restaurant over Google Search, turn on your navigation to the destination using Google Maps and perhaps also check for weather and traffic. The post 4 Ways Predictive Data Analytics Changes How Consumers Behave appeared first on Dataconomy.

Analytics 173
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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.

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What is Metadata and why is it as important as the data itself?

Dataconomy

Metadata. You may have heard the term before, and may have asked yourself either “what is metadata” or “why is it as important as data?” This article will be an attempt to clear up those two subjects. As this can often be quite dense, let’s jump right in! Metadata can. The post What is Metadata and why is it as important as the data itself? appeared first on Dataconomy.

Big Data 164
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“I look forward to working on a Sunday evening” – Scala development with Tobias Johansson

Dataconomy

Tobias Johannson is technical lead developer for Valo.io in London. Tobias has nearly 15 year’s experience developing in.NET and Scala. He has a background in the financial sector as a front-office developer but changed track in 2013 to be part of a team building Valo, a new real-time analytics. The post “I look forward to working on a Sunday evening” – Scala development with Tobias Johansson appeared first on Dataconomy.

Analytics 150
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This is the Data Science bootcamp that guarantees a data science job or a 100% tuition refund

Dataconomy

Springboard launches data science bootcamp with a job guarantee – Springboard is launching its Data Science Career Track — the first online data science bootcamp that offers a job guarantee to its graduates. The company tracked 50 of its graduates and saw that all 50 got a job within six. The post This is the Data Science bootcamp that guarantees a data science job or a 100% tuition refund appeared first on Dataconomy.

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3 Things Every Business Needs to know About Second-Party Data Sharing

Dataconomy

As 2017 quickly approaches, businesses are focused more than ever before on gleaning insights from first-party, third-party and most recently, second-party data. Yes, that’s right – second-party data. Now, some of you might be wondering, What exactly is second-party data? Unlike first and third-party data, second-party data is shared between. The post 3 Things Every Business Needs to know About Second-Party Data Sharing appeared first on Dataconomy.

Big Data 140
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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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The Rise of Insurtech in the Age of Algorithms

Dataconomy

Titled ‘Data Science for Banking & Insurance’, Dataiku’s free eBook includes recommendations, use cases, testimonials, and how-to checklists that enable you to make your mark in this new era of Fintech and Insurtech. Whether you are working in marketing, risk management, product design, finance, actuarial science, underwriting, or claim management, The post The Rise of Insurtech in the Age of Algorithms appeared first on Dataconomy.

Algorithm 135
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How different companies think about Data Science

Dataconomy

Data science can mean something completely different depending on context. The problems you’ll face at an early-stage startup will be vastly different from the ones you’ll face at a Fortune 500 giant. Not only are there different roles in data science, there are also different companies with vastly different data. The post How different companies think about Data Science appeared first on Dataconomy.

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Strata x Hadoop 2016 - How Lazada Ranks Products

Eugene Yan

How Lazada ranks products to improve customer experience and conversion at Strata 2016.

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“I look forward to working on a Sunday evening” – Scala development with Tobias Johansson

Dataconomy

Tobias Johannson is technical lead developer for Valo.io in London. Tobias has nearly 15 year’s experience developing in.NET and Scala. He has a background in the financial sector as a front-office developer but changed track in 2013 to be part of a team building Valo, a new real-time analytics. The post “I look forward to working on a Sunday evening” – Scala development with Tobias Johansson appeared first on Dataconomy.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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How to use ElasticSearch for Natural Language Processing and Text Mining?—?Part 1

Dataconomy

ElasticSearch is a search engine and an analytics platform. But it offers many features that are useful for standard Natural Language Processing and Text Mining tasks. 1. Preprocessing (Normalization) Have you ever used the _analyze endpoint? As you know ElasticSearch has over 20 language-analyzers built in. What is an analyzer. The post How to use ElasticSearch for Natural Language Processing and Text Mining — Part 1 appeared first on Dataconomy.

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“The future of humanity is to direct one’s own evolution” – An Interview with Amal Graafstra

Dataconomy

Amal Graafstra is a double RFID implantee, author of the book RFID Toys, and TEDx speaker. His interest in biohacking, RFID, and NFC began in 2005 as a simple solution to a problem. He wanted easy access to his office. He explored biometric options only to find they were too. The post “The future of humanity is to direct one’s own evolution” – An Interview with Amal Graafstra appeared first on Dataconomy.

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“Technology can free people from wage slavery” – An Interview with Xavier Damman, Open Collective

Dataconomy

Xavier Dammanis is an entrepreneur working on a new form of association that enables the Internet generation to fund communities in full transparency: Open Collective. He founded Tribal in 1999, a site that gathered student content from around Belgium that was published in a 30,000-circulation magazine distributed nationwide to high schools. The post “Technology can free people from wage slavery” – An Interview with Xavier Damman, Open Collective appeared first on Dataconomy.

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