Dataconomy
DECEMBER 21, 2016
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.
Eugene Yan
DECEMBER 8, 2016
How Lazada ranks products to improve customer experience and conversion at Strata 2016.
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Distill
DECEMBER 6, 2016
Several interactive visualizations of a generative model of handwriting. Some are fun, some are serious.
Dataconomy
DECEMBER 12, 2016
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.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Dataconomy
DECEMBER 12, 2016
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.
Dataconomy
DECEMBER 2, 2016
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?
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
DECEMBER 7, 2016
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.
Dataconomy
DECEMBER 14, 2016
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.
Dataconomy
DECEMBER 12, 2016
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.
Dataconomy
DECEMBER 16, 2016
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.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Dataconomy
DECEMBER 14, 2016
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.
Dataconomy
DECEMBER 8, 2016
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.
Dataconomy
DECEMBER 5, 2016
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.
Dataconomy
DECEMBER 23, 2016
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.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Dataconomy
DECEMBER 19, 2016
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.
Dataconomy
DECEMBER 20, 2016
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.
Dataconomy
DECEMBER 8, 2016
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.
Dataconomy
DECEMBER 7, 2016
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.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Dataconomy
DECEMBER 26, 2016
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.
Dataconomy
DECEMBER 4, 2016
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.
Dataconomy
DECEMBER 12, 2016
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.
Dataconomy
DECEMBER 8, 2016
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.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
Dataconomy
DECEMBER 16, 2016
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.
Dataconomy
DECEMBER 19, 2016
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.
Dataconomy
DECEMBER 4, 2016
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.
Dataconomy
DECEMBER 30, 2016
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.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
Dataconomy
DECEMBER 9, 2016
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.
Dataconomy
DECEMBER 5, 2016
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.
Eugene Yan
DECEMBER 10, 2016
Cleaning up text and messing with ascii (urgh!
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