Dataconomy
JUNE 27, 2016
Lindsey Thorne, Manager of the Open Source & Big Data Practice at Greythorn Lindsey has been in HR and recruiting for more than 12 years, and after narrowing her focus to the open source and data science market in 2012, she’s built a reputation for being the one recruiter “inside”. The post What Recruiters and Hiring Managers Are Looking for in a Data Scientist appeared first on Dataconomy.
Explosion
JUNE 27, 2016
Let’s say you’re writing an application, and you want to give it a conversational interface: your users will type some command, and your application will do something in response, possibly after asking for clarification. There are lots of terms associated with this technology — conversational commerce, bots, AI agents, etc. I think it’s much clearer to call it a Linguistic User Interface (LUI), by analogy with the Graphical User Interface (GUI) you could attach to the same application.
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Christian Haschek
JUNE 4, 2016
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Dataconomy
JUNE 28, 2016
Every day, human beings create 2.5 quintillion bytes of data – data that is generated, accessed and shared on laptops, mobile devices and social media. In the political realm, data drives today’s campaigns – from studying voter demographics and conducting outreach to tailoring and testing specific messages. Data, Data, Everywhere. The post The Human Element of the Data-Driven Campaign 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
JUNE 20, 2016
Platforms used for big data are a bit of a conundrum. Big data and data science are two of the biggest business buzzwords, and the biggest companies around the world are hard at work to get ahead of the data curve. Normally, when it comes to big money opportunities, the. The post The Future of Big Data Is Open Source appeared first on Dataconomy.
Dataconomy
JUNE 16, 2016
Data mining is everywhere, but its story starts many years before Moneyball and Edward Snowden. The following are major milestones and “firsts” in the history of data mining plus how it’s evolved and blended with data science and big data. Data mining is the computational process of exploring and uncovering patterns. The post The History of Data Mining appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
JUNE 2, 2016
Global warming. For a topic as massive, important, and (somehow) controversial, big data is a clear option for sorting through the muck. What information is reliable? What solutions are realistic? When a global issue pits the future of humanity against, well, everything humanity is accustomed to, facts are vital. Big. The post Big Data Plays Surprising Role In Fight Against Climate Change appeared first on Dataconomy.
Dataconomy
JUNE 21, 2016
The “unreasonable effectiveness” of data for machine-learning applications has been widely debated over the years (see here, here and here). It has also been suggested that many major breakthroughs in the field of Artificial Intelligence have not been constrained by algorithmic advances but by the availability of high-quality datasets (see. The post 5 Data Acquisition Strategies for Startups appeared first on Dataconomy.
Dataconomy
JUNE 6, 2016
Your phone is already smart, so what’s next? Artificial intelligence and machine learning is coming to the smartphone in ways much bigger than Siri. Earlier this year, Google announced they’ll be working with semiconductor company Movidius By licensing some very special Visual Processing Unit chips, Google plans to move away. The post Forget Siri: Machine Learning and AI is Coming For Your Smartphone appeared first on Dataconomy.
Dataconomy
JUNE 9, 2016
Amusement parks are big. Rides cost several million dollars, and operators need to keep track of thousands of visitors every day. Big data may be just the solution amusement parks have been looking for, but it won’t be an easy transition. From updating data practices and hardware to convincing customers. The post Three Times Big Data Made Amusement Parks Better 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
JUNE 13, 2016
Everyone in the data chain has to worry about the question of ethics and security. Individuals want to protect their data. Companies and researchers want to learn from it. Big data, like many other emerging areas of technology, suffer from very real ethical problems. Regulations, governing bodies, and even general. The post Social Data Gets Sticky: The Ethics of Big Data in Research appeared first on Dataconomy.
Dataconomy
JUNE 17, 2016
The rise of data science in the last decade has been driven by the ease of access to deep data and significant reductions in the costs associated with processing it. These days anyone with a credit card can now setup a cloud-based data warehouse and tracking system within minutes, but. The post 3 reasons why data science can fail appeared first on Dataconomy.
Dataconomy
JUNE 14, 2016
Data lakes are based on a simple idea: You can store and analyze massive amounts of raw data at scale. But why data lakes? Here are five reasons why IT leaders are excited about this idea: Unfortunately, lots of companies end up with a data swamp instead of a data. The post The Data Lake: A Reservoir or a Swamp? It Depends on Your Approach appeared first on Dataconomy.
Dataconomy
JUNE 30, 2016
Big data breaches aren’t going away any time soon and the recent revelation that Russia’s criminal underworld is in possession of account data for 272.3 million people is a testament to that. Initially announced by Reuters at the start of May but constantly referred to by other media outlets ever. The post Big Data Breaches Shouldn’t be a Concern for Small Business (But They Still Are) 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
JUNE 10, 2016
You know who you are. You’re a Data Scientist. In interview rooms across the world, fat cat executives are pushing contracts under your noses with extortionately high numbers on them. What a time to be one of a few doing backstrokes at the world’s most exclusive pool party, right!? What. The post Data Scientists…futureproof yourselves! appeared first on Dataconomy.
Dataconomy
JUNE 24, 2016
As CTO, Peter leads the tech team of solarisBank. He’s the former CTO of HitFox Group and software engineering company Zweitag. Peter is experienced in building tech-heavy startups and fintechs. Tell us about the mission of SolarisBank and why you chose Berlin as your headquarters? We’re offering a horizontally-integrated. The post “From my point of view, FinTech won’t exist as a stand alone industry…” – Interview with SolarisBanks’ Peter Grosskopff appeared
Dataconomy
JUNE 3, 2016
Joe Betts-Lacroix is the CTO and Co-Founder of Vium. He is a proven entrepreneur and as an inventor holds over 80 granted and pending patents in fields ranging from biophysics and safety systems to antennas, thermal systems, user interfaces and analog electronics. He was the primary technical founder of OQO. The post “The application of informatics will continue to grow with access to more data and technology, enhancing human health innovation…” – Interview with Vium̵
Dataconomy
JUNE 7, 2016
Reza Sadri is the CEO of Levyx, the creators of high-performance processing technology for big-data applications. Prior to Levyx, Sadri was the CTO for software at sTec, which was acquired by Western Digital Corporation in 2013. What is the potential of Spark? How far is the market from realizing. The post “Spark has the potential to be as transformational in the computing landscape as the emergence of Linux…” – Interview with Levyx’s Reza Sadri appeared first on Da
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.
Explosion
JUNE 27, 2016
Let’s say you’re writing an application, and you want to give it a conversational interface: your users will type some command, and your application will do something in response, possibly after asking for clarification.
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