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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Distill
DECEMBER 6, 2016
Several interactive visualizations of a generative model of handwriting. Some are fun, some are serious.
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?
Advertisement
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?
Dataconomy
DECEMBER 27, 2016
The world of business and customer service has changed immensely over the past few years. Whereas once business was largely driven by outbound marketing and advertising, in today’s world you have to consider the customer experience and your customers’ journey as they interact with your brand. Today, thanks to the. The post Using Data to Discover Hidden Value in Your Customer Journey 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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
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.
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.
Advertisement
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.
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.
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.
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.
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.
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.
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.
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.
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.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
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.
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.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Eugene Yan
DECEMBER 10, 2016
Cleaning up text and messing with ascii (urgh!
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 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.
Expert insights. Personalized for you.
195 
Let's personalize your content