Dataconomy
APRIL 9, 2018
For those with chronic health issues or life-threatening illnesses, the line of specialists and procedures can seem endless. Moreover, each time a new practitioner or clinic is visited, the patient is required to fill in long and complicated forms – especially if a medical insurance is involved. It’s now clear. The post The Role of Big Data and Mobile Apps in Healthcare appeared first on Dataconomy.
Eugene Yan
APRIL 24, 2018
And my idiosyncratic journey to VP of Data Science at Lazada (Alibaba). A Lunchtime chat at INSEAD.
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Machine Learning World
APRIL 27, 2018
This is a step by step guide into how I hacked my Bluetooth Low Energy (BLE) fitness tracker so I could control it from Linux. This story started from a Facebook post I made talking about a problem of the absence of an API for fitness trackers, and why that’s not helping data scientists make cool stuff for them. The post generated quite a lot of discussion and after caught the attention of my friend Volodymyr Shymanskyy who tried to help me and found some code on Github from Leo Soares for my fi
Depends on the Definition
APRIL 14, 2018
This is the fifth post in my series about named entity recognition. If you haven’t seen the last four, have a look now. The last time we used a CRF-LSTM to model the sequence structure of our sentences.
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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?
DataRobot Blog
APRIL 25, 2018
by Jen Underwood. Classic! On the same day as Qlik’s roadmap keynote and Power BI’s Summit in Ireland, Tableau decides to rain on both of those parades. Tableau stole the thunder yesterday with. Read More.
Christian Haschek
APRIL 5, 2018
Our Austrian banks (seemingly) hate developers as they don't give you an API to check banking stat
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
APRIL 6, 2018
Data science has taken an enormous stride forward in a relatively brief period of time. The field of data analytics, specifically, has widened with the integration of computer technology, and more recently with the use of machine learning and AI algorithms. The field is now a major component for several. The post Blockchain is the Great Equalizer for Predictive Analytics appeared first on Dataconomy.
Dataconomy
APRIL 19, 2018
Are you one of those project management professionals inclined to handle big data proposals? Having a strong project management background would add excellent support to your aspirations. However, for setting up a big data project team, you don’t just need good project management skills. You also need to supersize the. The post Do You Have the Expertise to be a Big Data Project Manager?
Dataconomy
APRIL 27, 2018
In the world of IT, data’s role as MVP is rapidly becoming an industry standard. But when it comes to athletics, there’s still some room to grow — at least in the case of American soccer. Where some sports have adopted the use of data analytics to shape predictions and. The post Can Data Analytics Elevate Soccer’s Profile in the U.S.? appeared first on Dataconomy.
Dataconomy
APRIL 25, 2018
With businesses holding more data than ever before, the frequency of cyber breaches grows exponentially. A recent survey showed that there were over 1,792 reported data breaches in 2016 alone. The breaches compromised almost 1.4 billion data records. Furthermore, studies suggest that most of these fraudulent activities were orchestrated by. The post Five Critical Layers of Protection to Ensure Data Security 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
APRIL 23, 2018
Today, marketing is more complicated and diverse than it’s ever been. Getting people to come to your website or check out your business is a challenge. When a customer has found their way through your content and into a position where they could convert, that’s where the most difficult task. The post Why Data Driven Sales Teams are the Most Advantageous appeared first on Dataconomy.
Dataconomy
APRIL 30, 2018
Big data these days is a lot like the Wild West – an untamed, vast vista with untold resources ripe for the plucking. More of it keeps coming; this year, more data will be created than has ever existed before – much of it unstructured. By 2020, forty-four times more. The post How Semantics Technology Is Taking the Risk Out of Hiring appeared first on Dataconomy.
Dataconomy
APRIL 17, 2018
People all over the United States have been preparing themselves for the impact of tax reforms passed in 2017. Of course, some of these changes provide massive benefits to businesses and individuals, while others remove certain deductions we’ve become accustomed to. An accountant is still a filer’s best friend when. The post It’s Tax Season: How Big Data Is Transforming The Filing Process appeared first on Dataconomy.
Dataconomy
APRIL 20, 2018
Whether you’re already working in IT management or still on your way up, you should be sure of one thing: that you’re as comfortable working with people as you are working with tech. As a leader in IT, you’re responsible for much more than technology. You’ll likely spend as much –. The post 4 Ways IT Managers Should Expand Their Skills for Career Growth 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
APRIL 4, 2018
In the field of data, ease of access and portability are becoming increasingly important. Businesses need to utilize data to remain competitive; meaning, they must have quick, real-time access to their data. Now more than ever, accessing this data can mean the difference between competition being one step ahead or. The post Frictionless Data: Why Ease and Portability Are More Important Than Ever appeared first on Dataconomy.
Dataconomy
APRIL 11, 2018
Machine learning and AI are the latest technologies transforming business — carrying on from digitization and big data. It is difficult, however, to pull apart the hype from implementation and distinguish the realities from the marketing jargon. Pete Williams is a “data evangelist” who works with companies to get them. The post Getting to Base Camp: A Conversation with Pete Williams on the Mistakes Made in AI Implementation appeared first on Dataconomy.
DataRobot Blog
APRIL 1, 2018
Paxata was a Silver Sponsor at the recent Gartner Data and Analytics Summit in Grapevine Texas. From all the sessions and conversations, we took away three important themes. For those of you who did not attend the summit, we have cited Gartner research as the sessions predominantly reflected the most recent Gartner published papers. 1) People and machines come together to create a more powerful and agile experience.
Dataconomy
APRIL 2, 2018
The Cambridge Analytica story is starting to take over the news cycle, as the public learns just how the Trump campaign and its donors used Facebook ads to create a massive sociopolitical shakeup. Facebook has come under extreme scrutiny about what went wrong when it came to protecting our data. The post Cambridge Analytica Scandal Marks a Shakeup of the Big Data Landscape 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.
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