Dataconomy
MARCH 7, 2017
We hear the term “machine learning” a lot these days (usually in the context of predictive analysis and artificial intelligence), but machine learning has actually been a field of its own for several decades. Only recently have we been able to really take advantage of machine learning on a broad. The post Infographic: A Beginner’s Guide to Machine Learning Algorithms appeared first on Dataconomy.
Ines Montani
MARCH 8, 2017
The way we talk about AI is a mess. It starts with the most obvious, the imagery. Just like stock photos of happy people pointing at whiteboards were a symbol of the modern workplace, wired brains and robots have now come to represent “the AI”. But the visual messaging is only a small part of a much larger problem. Sources: WallpaperHD , GettyImages , CodePen Illustration is symbolic — it relies on familiarity and evokes associations and expectations.
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Dataconomy
MARCH 13, 2017
As the scale of data grows across organizations with terabytes and petabytes coming into systems every day, running ad hoc queries across the entire dataset to generate important metrics and intelligence is no longer feasible. Once the quantum of data crosses a threshold, even simple questions such as what is. The post If you care about Big Data, you care about Stream Processing 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
MARCH 20, 2017
Data Science, Data Analytics, Data Everywhere Jargon can be downright intimidating and seemingly impenetrable to the uninformed. While complicated vernacular is an unfortunate side effect of the similarly complicated world of machines, those involved in computers, data and whole host of other tech-intensive sectors don’t do themselves any favors with.
Dataconomy
MARCH 17, 2017
Managing your relationships with customers, suppliers, and partners and constantly improving their experience is a proven way to build a sustainable and profitable business, and contrary to popular assumption, this doesn’t apply to B2C businesses only. With 89% of B2B research studies using the internet during the internet research process, The post How Big Data Can Transform B2B Sales and Marketing appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
MARCH 27, 2017
Blockchain is a peer-to-peer (P2P) distributed ledger technology that enables transparent transactions. Satoshi Nakamoto’s pioneering work in using Proof-of-Work (POW) for solving the double spending problem sparked a worldwide interest in the field of distributed, trustless consensus systems. Although POW is not a new idea, the way Nakamoto utilized it.
Dataconomy
MARCH 6, 2017
Did you doze off and miss the digital banking revolution? If so, here is your indispensable guide to choosing a digital banking platform The innovative nature of the financial services industry calls for constantly introducing new solutions to the market. Nowadays, implementing digital banking platform is a must, and should. The post The Definitive Guide to Digital Banking Platforms appeared first on Dataconomy.
Dataconomy
MARCH 23, 2017
We’ve published a white paper, where we look back at the big data and business intelligence trends over the past years and highlight examples of successful Data-as-a-Service products with deep dives into Social Media Monitoring, Self-Service BI and Visual Data Discovery and Analytics Merging the Physical and Virtual Worlds, complete with lessons.
Dataconomy
MARCH 15, 2017
As humans, we were born to trust and form social connections. When we enter the world, within an hour we will draw our heads to seek the eyes or face of the person gazing at us. The Oxford Dictionary defines trust as “a firm belief in the reliability, truth, ability, The post FinTech’s Greatest Challenge – Identity & Trust in a Data Economy 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
MARCH 31, 2017
The term AI (Artificial Intelligence) is being thrown around left and right these days. Many companies claim they have an AI play even when they don’t. But there’s another type of AI—an algorithmic approach to intelligence—that is smart and is emerging as the type of AI that IT organizations of. The post AIOps – The Type of ‘AI’ with Nothing Artificial About It appeared first on Dataconomy.
Dataconomy
MARCH 10, 2017
I recently stumbled across a research paper, Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US, which piqued my interest in derivative uses of data, an ongoing research interest of mine. A variety of deep learning techniques were used to draw conclusions about relationships. The post The Problem With (Statistical) False Friends appeared first on Dataconomy.
Dataconomy
MARCH 7, 2017
Data is one of the most prized commodities of the 21st. century. As companies face the challenges arising from a surge in the number of customer interactions and data, it can be difficult to successfully manage the vast quantities of information and still provide a positive customer experience. Businesses need. The post Free Webinar: How to Set up and Manage a Corporate Self Service Analytics Environment [DE] appeared first on Dataconomy.
Dataconomy
MARCH 25, 2017
Do you know what an Exabyte is? One Exabyte is equal to one billion gigabytes. So if something is 2.5 exabytes in size, numerically it is written as 2,500,000,000 gigabytes. The full value, showing the gigabytes numerically as well, is probably too many zeroes for anyone to comprehend. Regardless, 2.5. The post Using Data To Build Better Online User Experiences 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
MARCH 29, 2017
Categorical data is a kind of data which has a predefined set of values. Taking “Child”, “Adult” or “Senior” instead of keeping the age of a person to be a number is one such example of using age as categorical. However, before using categorical data, one must know about various. The post Programming with R – How to Get a Frequency Table of a Categorical Variable as a Data Frame appeared first on Dataconomy.
Dataconomy
MARCH 22, 2017
On a sunny Friday morning, the IoT-EPI Challenge started bright and early at 9 AM (which is quite early, for Berlin standards) with an introductory talk for the participants and the media to get the rundown of the day. This wasn’t a typical idea-hackathon. Collaboration was key. The goal was. The post What Does Trust Mean in IoT? – IoT-EPI Challenge appeared first on Dataconomy.
Dataconomy
MARCH 14, 2017
Pyramid Analytics and Big Data Expert Ronald van Loon are hosting a free webinar on March 23rd. Register now and find out how to adopt a data-driven approach that will help your organization grow with predictive analytics. This webinar has been tailored to meet the needs of corporations in the DACH. The post Corporate Self Service Analytics: 4 Questions You Should Ask Yourself Before You Start appeared first on Dataconomy.
Dataconomy
MARCH 29, 2017
In today’s world of never ending cybersecurity threats, companies must be more diligent than ever in protecting their data from external and internal threats. The question of dealing with cybersecurity incidents is not a matter of if but WHEN. How a company responds to a breach is vital – the. The post White Paper: The Importance of a Strategic Response to Cyber Incidents 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.
Dataconomy
MARCH 22, 2017
Collaboration and innovation go hand in hand, and are based in transcending frontiers – physical, technological, economical, you name it. Open innovation is one of the ways in which Europe can secure global competitiveness. The H2020 research and innovation program is the EU’s financial instrument to achieve this, and within. The post “Collaboration is the key for transformation” – Open Innovation at the IoT-EPI Meet & Greet appeared first on Dataconomy.
Dataconomy
MARCH 2, 2017
The world is increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is only going to continue growing in the coming years. It is a fantastic career move and it could be just the type of career you. The post How to Boost Your Career in Big Data and Analytics appeared first on Dataconomy.
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