Dataconomy
FEBRUARY 19, 2016
Some of the most inspiring data can be found in an unexpected place… TED Talks. Here are the best talks on everything data science. Big data and data science appear on both sides of a coin: they are driving forces behind both business and science, yet they are also a. The post Best TED Talks On Why “Data Is Beautiful” appeared first on Dataconomy.
Explosion
FEBRUARY 14, 2016
If you were doing text analytics in 2015, you were probably using word2vec. Sense2vec (Trask et. al, 2015) is a new twist on word2vec that lets you learn more interesting, detailed and context-sensitive word vectors. This post motivates the idea, explains our implementation, and comes with an interactive demo that we've found surprisingly addictive.
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Christian Haschek
FEBRUARY 17, 2016
NOTE: For maximum fun, activate the [Cloud to butt]( [link]
Dataconomy
FEBRUARY 11, 2016
In the future imagined by science fiction, artificial intelligence will reign supreme and take over pretty much everything humans can do. Frankly this sci-fi vision isn’t helpful when it comes to applying technology because it distracts us from thinking about what people do well and what advanced techniques such as. The post 3 Reasons Why People, Not Robots, Are Key to Data Science appeared first on Dataconomy.
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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
FEBRUARY 15, 2016
Understanding how the Internet of Things is going to change childhood is hard to imagine. The IoT (Internet of Things) describes the way objects can “talk” to each other via technology. Your smart watch talks to your phone. Your apps can talk to your new smart thermostat. Widespread fear about. The post The IoT For Kids: How Technology Affects Our Children appeared first on Dataconomy.
Dataconomy
FEBRUARY 9, 2016
What’s the most romantic city in America? What kind of gifts are people buying their Valentine? Given the size of the online dating industry, it’s no surprise that they’ve started leveraging big data to create better matching systems. The real million dollar question is: can you leverage all those numbers. The post Can Big Data Save Your Love Life?
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
FEBRUARY 29, 2016
In spite of the fact that the term “360-degree view of the customer” has become ubiquitous in the data management and CRM realm for quite some time, it is still quite rare to find a company that has achieved it. The same problems that have plagued companies for years, blocking. The post Are you taking control of your data or is it controlling you? appeared first on Dataconomy.
Dataconomy
FEBRUARY 12, 2016
The Henn-na Hotel in Japan just got more futuristic. Walking up to the front desk, customers are greeted with the familiar bow and the typical “Welcome” spiel from a typical Japanese woman. The catch: she’s a robot. Henn-na means either “flower” or “it’s weird,” depending on your interpretation. This new. The post AI Usages in the Hospitality Industry: Do We Need Robotic Velociraptor Receptionists?
Dataconomy
FEBRUARY 23, 2016
The common usage cases for big data and employees usually stops at HR and recruiting. However, recent news has sparked interest in the dark uses of data in the workplace. Until recently, the biggest concern about data collection was whether Target would find out you were pregnant, or you would. The post Data Tracking In The Workplace: Is Big Data Hurting Employees?
Dataconomy
FEBRUARY 18, 2016
‘Big Data’ Analytics and Data Science are the latest buzzwords in corporate enterprises across the globe. Surprisingly it’s not just big players in the field who use them, rather companies in medium to small scale sectors. Regardless of the size of your enterprise, data is a valuable asset whether in. The post Taking a bite into Big Data appeared first on Dataconomy.
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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
FEBRUARY 22, 2016
Business intelligence has come a long way in the last 20 years. From its humble beginnings as a marriage between Excel and complex SQL queries to the latest user-friendly self-service functionalities, BI software has become the go-to resource for analytics and reporting. However, there’s still a gap in what companies. The post More Companies are Choosing Full-Service BI – Here’s why!
Dataconomy
FEBRUARY 24, 2016
Jigsaw Academy and Analytics Vidhya launch The Analytics and Big Data Salary Report 2016 Press Release: Unlike large companies, which pay around 9.6 lakhs, Indian startups are willing to pay over Rs.10.8 lakhs per annum to attract the best talent in the analytics industry, according to the Analytics and Big. The post Start-ups Pay Huge Salaries to Attract Talented Data Scientists, says Report appeared first on Dataconomy.
Dataconomy
FEBRUARY 8, 2016
As Hadoop gains traction among companies of all sizes, many are discovering that getting a cluster to run optimally is a daunting task. In fact, it’s impossible for any human to respond in real time to all the changing conditions across multiple nodes to fix problems causing bottlenecks or performance. The post Smoke Signals Coming From Your Hadoop Cluster appeared first on Dataconomy.
Dataconomy
FEBRUARY 25, 2016
When it comes to collecting customer data, the games industry is in a unique and enviable position. Unlike other sectors where customer data is often incomplete, games makers and marketers can access a wealth of live data about every single one of their players. But it wasn’t always so. Games. The post The games industry’s shift to deep data 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
FEBRUARY 26, 2016
Talking about FinTech can be a bit tricky. Even when we think outside of the box, leaving behind California, London and Stockholm, many will still forget one of the biggest FinTech contributors today: Israel. Despite having four Israelis listed among HotTopic’s recent “100 Most Influential FinTech Leaders,” and a large. The post The Rise of FinTech in Israel appeared first on Dataconomy.
Explosion
FEBRUARY 14, 2016
If you were doing text analytics in 2015, you were probably using word2vec. Sense2vec (Trask et. al, 2015) is a new twist on word2vec that lets you learn more interesting, detailed and context-sensitive word vectors. This post motivates the idea, explains our implementation, and comes with an interactive demo that we’ve found surprisingly addictive.
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