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.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
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 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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
MARCH 22, 2017
It used to be a maxim that expanding too fast was the quickest way to kill a successful business. Rapid growth brings risks as well as opportunities. But utilizing augmented intelligence, an already-popular technology which surfaces patterns in data without humans having to look at it, means that organizations can. The post How Augmented Intelligence Helps Businesses Grow appeared first on Dataconomy.
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.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
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.
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.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
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.
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.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
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.
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.
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