Dataconomy
OCTOBER 22, 2018
The explosion in renewable energy projects on blockchain is already promising—there are 122 startups operating in the space, with nearly half launching since 2017. More impressively, these startups have raised over $320 billion between the second quarter of 2017 and the first of 2018. Electricity is undoubtedly one of the. The post How Blockchain is Boosting Renewable Energy appeared first on Dataconomy.
Eugene Yan
OCTOBER 27, 2018
Yes, Agile can be adopted by data science teams. Moderating a panel at GovTech STACK.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
DataRobot Blog
OCTOBER 28, 2018
by Jen Underwood. Tableau’s right place, right time, right solution market momentum continues to fuel what seems to be unstoppable growth over the past five years. Hosted in New Orleans at the massive. Read More.
Machine Learning World
OCTOBER 17, 2018
One man said “To become a genius you need to learn new thing every day”. So instead watching stupid TV-shows, TV-series or new SUPER DUPER BLOCKBUSTER with 3 lines of scenario, it’s much better to spent this time on learning something new. That’s where popular science do her job :) So thanks to my friends, we gathered list of YouTube channels that we are watching in a free time, and which are pretty cool: Kurzgesagt — In a Nutshell 3Blue1Brown Physics Videos by Eugene Khutoryansky acapellascienc
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?
Christian Haschek
OCTOBER 19, 2018
As a geek who has a few servers and other devices at home I can't stop thinking about my power out
Twilio Segment
OCTOBER 23, 2018
Segment was impacted by Apollo.io’s recent security incident. Here’s what you need to know.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
OCTOBER 3, 2018
Kevin Ashton, the man who coined the term “Internet of Things” (IoT), wrote in 1999: “If we had computers that knew everything there was to know about things – using data they gathered without any help from us – we would be able to track and count everything, and greatly. The post What is the future of Internet of Things (IOT) – Blockchain? appeared first on Dataconomy.
Dataconomy
OCTOBER 23, 2018
The success of data-driven projects has quite a few challenges and barriers. Here is a look at how you could overcome them by simply asking yourself three questions. Data has become probably the most valuable asset that companies could have nowadays. It can give you insights into your customers’ behaviour. The post Three questions you need to answer to succeed in data-driven projects appeared first on Dataconomy.
Dataconomy
OCTOBER 8, 2018
Internet of things or IoT has become one of the most influential technologies, currently connecting more than 23 billion devices. This number is expected to reach 30 billion by 2020 and more than 60 billion by 2024. But the future of this technology is largely debatable, considering that it’s plagued. The post The Birth Of Block-Cloud: Reinventing The Cloud With Blockchain appeared first on Dataconomy.
Dataconomy
OCTOBER 17, 2018
The cart before the horse? What are we talking about: You have the perfect scenario in front of you. You or your team just learnt about an exciting way to analyse data, found a new data-source that looks very promising, or were impressed by a new data visualisation tool. Understandably, The post The cart before the horse in data-science projects: back to basics 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
OCTOBER 4, 2018
In the face of overwhelming evidence, consumers can no longer ignore the fact that major tech and social media companies engage in mass data harvesting and the selling of user information to third parties – one need only look to the recent Cambridge Analytica scandal (which impacted not only the users. The post How to monetize your data in the right way appeared first on Dataconomy.
Dataconomy
OCTOBER 19, 2018
The data necessary to account for every aspect of our human complexity poses significant challenges to health AI systems. There’s certainly no way around data science to get a hold of it – but don’t you count physicians out too soon! Precision Medicine bears the promise to bring highly individualized. The post Is your Precision Medicine AI ready for the Bio-Psycho-Socio-Cultural Patient?
Dataconomy
OCTOBER 31, 2018
There is nothing that turns off users as much as bad UX. Your mobile app should provide a seamless user experience if you want it to be one of the most successful apps. Everything from the moment your users download the app to the moment they check out needs to. The post Best Methods To Overcome Mobile App Usability Problems appeared first on Dataconomy.
Dataconomy
OCTOBER 9, 2018
The Ruhr region known to be a steel and coal mine hub in Europe is reimagining the entrepreneurial spirit which was it’s foundation 150 to 200 years ago. This time lies a huge opportunity for data-driven startups to innovate and collaborate with the big traditional corporates that exist in the. The post What can data-driven startups gain from Ruhrgebiet region in Europe?
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
OCTOBER 25, 2018
The pace of life and industry is accelerating at an unprecedented rate. Interconnected tech, inconceivably fast data processing capabilities and sophisticated methods of using this data all mean that we’re living in fast-forward. The Data Natives Conference 2018 will be exploring life at an accelerated pace, and what rapid innovation. The post Ethics to Ecotech: 5 Unmissable Talks At Data Natives 2018 appeared first on Dataconomy.
DataRobot Blog
OCTOBER 4, 2018
by Jen Underwood. Long time, no news summaries…what happened? I’ll share the scoop on that soon. In the meantime, Cloudera and Hortonworks announced a merger that was really “big” news yesterday. That merger. Read More.
Expert insights. Personalized for you.
195 
Let's personalize your content