Dataconomy
JULY 25, 2016
Construction is a costly and time-consuming process. There are several layers to every project, and average profit margins are relatively narrow. That’s why any and every money-saving measure counts. It’s nearly impossible to flawlessly budget, manage, and organize a construction project. From employees to suppliers and logistics, there’s one tool.
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Dataconomy
JULY 22, 2016
When it comes to pets, there’s almost nothing an owner wouldn’t do. Many people have a certain soft spot for cats and dogs, and it’s no surprise that organizations and individuals alike are looking to utilize big data to make pets’ lives better. Data’s greatest use may be in adoption. The post From Shelter to Forever Home, Big Data Helps Pets appeared first on Dataconomy.
Dataconomy
JULY 21, 2016
As can likely be expected, big data analytics is in the midst of an evolution. It’s a typical sight for nearly any new technology as experts and organizations get more used to all of its capabilities. Big data is certainly no exception to these changes, especially as businesses understand its. The post What Real Time Streaming Means for Big Data 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
JULY 18, 2016
FinTech is easy to get wrapped up in. It’s an exciting field that’s taking power away from traditional, bloated banks and giving the industry a much needed facelift. It’s helping the underbanked (as any FinTech enthusiast will tell you a hundred times), and many popular FinTech technologies are becoming integrated. The post A Beginner’s Guide to FinTech Terminology appeared first on Dataconomy.
Dataconomy
JULY 11, 2016
Who doesn’t want to learn about data scientist these days? The field is still hot, and the ample job listings for data scientists might make folks working in other fields instantly jealous. For young students, there are full degree programs and specialized courses to prepare them for the data-driven world. The post 10 Online Big Data Courses and Where to Find Them 2016 appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
JULY 19, 2016
Big data is becoming increasingly useful in the technology-driven market of the 21st Century. Using methods to collect huge sets of statistics about customers allows businesses to enhance their services greatly. The online casino sector is an area of the internet in which competition is fierce. Big players in the. The post Big Data Bets on the Online Casino Industry appeared first on Dataconomy.
Dataconomy
JULY 26, 2016
If you didn’t already know, let me be the first to break the good news to you: data on the Indian data analytics sector is very encouraging. Today, India’s BI (Business Intelligence) and Data Analytics industry is worth a princely $10 billion and is expected to skyrocket to $26.9 billion. The post Why India is a great place to build your Data Analytics knowledge appeared first on Dataconomy.
Dataconomy
JULY 4, 2016
Many industry prognosticators (and not a few vendors) are pushing Internet of Things (IoT) technology but are somewhat vague as to how financial results for actual businesses will be materially improved. Instead, they tend to focus on concepts like “digital transformation,” which sound promising but is difficult to quantify. This. The post Where, really, is the ROI in IoT?
Dataconomy
JULY 14, 2016
Where do I get started with data-driven engineering? How can the 3 I’s of data-driven engineering help me get off to a running start? How can I avoid the common pitfalls of data-driven engineering? What are the 3 I’s? The 3 I’s of data-driven engineering are insights, indicators and investments. The post 3 I’s of data-driven engineering 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
JULY 15, 2016
Dr. Veera Anantha is an experienced hands-on tech entrepreneur. He has held executive positions at tech startups and Fortune 100 companies with 2 successful startup exits (Apple and Motorola). Veera has founded and launched several award winning enterprise software and consumer oriented tech products in the past decade. Veera has. The post “Precision medicine is going to play a key role in the future of healthcare…” – Interview with Constant Therapy’s Veera Anantha
Dataconomy
JULY 1, 2016
Jessica Graves is a Data Scientist who currently works on fashion problems in New York City. She’s worked with Hilary Mason at Fast Forward Labs and keeps in regular contact with the London startup scene. She shares her unique perspective on the datafication of Fashion. She comes from a background. The post “Fashion needs ‘datafication’ that clearly benefits fashion.” – Interview with Data Scientist Jessica Graves appeared first on Dataconomy.
Dataconomy
JULY 28, 2016
Despite the advances in data integration and the blurring of the lines between batch (ETL) and real-time (EAI) integration, the process of managing and blending third-party or externally public datasets continues to be a burden for IT, and a cost for business, both in dollars and missed opportunities. Identifying and. The post Simplifying Data acquisition & augmentation appeared first on Dataconomy.
Dataconomy
JULY 29, 2016
Tech Open Air (TOA) Berlin took place over three days (July 13-July 15). With more than 150 speakers and 11,221 attendees, the event shaped up to be one of Europe’s leading interdisciplinary technology festivals. Attendees participated in a two day conference and more than 175 satellite events took place where. The post Tech Open Air – Bringing everyone together 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
JULY 7, 2016
Want to innovate faster? Then it’s time to get your head into the cloud. The true value of the cloud software is not that it’s a cheaper alternative to hardware, but that it is a fast and flexible environment where innovation can flourish – for both traditional companies and companies. The post Turbocharge Innovation with the Cloud appeared first on Dataconomy.
Dataconomy
JULY 12, 2016
Self-service analytics has become quite the buzz word recently. As organizations look to become more data-driven, the promise of self-service is certainly alluring: the ability for all users, regardless of their role or skills, to analyze data and make smarter decisions. And even though self-service analytics tools have become increasingly. The post 3 Steps to Finding Self-Service Nirvana appeared first on Dataconomy.
Dataconomy
JULY 5, 2016
Love virtual reality? Whether you want to learn from developers, read up on the latest trends, or check out new games and releases, there’s a blog for you. Here’s some of the best virtual reality blogs around in mostly alphabetical order. Road to VR THE VR. Blog This is pretty. The post Top Virtual Reality Blog for VR Lovers and Developers appeared first on Dataconomy.
Eugene Yan
JULY 30, 2016
Learning Scala from Martin Odersky, father of Scala.
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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