Dataconomy
NOVEMBER 24, 2017
At some point, almost every company faces questions like How good are the customers that we acquire? How do they differ from each other? How much can we spend to encourage their first or next transaction? As a measure that determines the amount of profit a customer brings over the. The post Understanding the value of your customer: CLV 101 appeared first on Dataconomy.
Explosion
NOVEMBER 21, 2017
[Update on 11–29–2017: I’ve posted multiple datasets and my code containing enough for you to reproduce the analysis. Please share with the rest of us what else you find — *gets on soapbox* — a free internet will always be filled with competing narratives, but well-researched, reproducible data analyses can establish a ground truth and help cut through all of that.
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DataRobot Blog
NOVEMBER 9, 2017
After attending this year’s HR Tech World in Amsterdam, journalist Phil Wainwright made an interesting observation about a trend amongst product companies. He explained that they’re layering in a superficial layer of artificial intelligence (AI) — e.g., an Alexa skill — into their products just to be able to claim that their product uses AI. He calls this trend “Machine Washing.”.
Depends on the Definition
NOVEMBER 26, 2017
This is the fourth post in my series about named entity recognition. If you haven’t seen the last three, have a look now. The last time we used a recurrent neural network to model the sequence structure of our sentences.
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
NOVEMBER 10, 2017
Blockchain technology has rapidly asserted itself as one of the most potentially disruptive technological forces of the 21st century. Just like the internet has had far-reaching implications and touched upon nearly every aspect of modern life, blockchain architecture can create a wave of radical changes similar to those brought on by. The post Why Smart Contracts Will Bring Blockchain to the Masses appeared first on Dataconomy.
Dataconomy
NOVEMBER 28, 2017
The inside story of the Paradise Papers leak With more than 1,4 terabytes of data, the Paradise Papers is the illustration of the new possibilities for the fraud investigation world. Conducting investigations is a challenge in the age of big data. Massive volumes, unstructured and siloed data make it harder. The post How big data technology is transforming fraud investigations appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
NOVEMBER 7, 2017
When we think about the future, we might imagine flying cars, superior technology and the potential to cure all diseases, extend our lifespan and improve the general health of world’s population. These hopes are more or less realistic, but this is so in lare part thanks to the advancement of. The post 4 Reasons why Advancing Big Data Helps The HealthTech Industry appeared first on Dataconomy.
Dataconomy
NOVEMBER 13, 2017
In recent years, tech giants such as Amazon, Google, Microsoft and IBM (along with a slew of startups) have all begun to offer what’s known as Artificial Intelligence as a service (AIaaS). These services, in a nutshell, make a wide range of AI algorithms available to the public. Examples for. The post Artificial Intelligence as a Service – AI off the shelf appeared first on Dataconomy.
Dataconomy
NOVEMBER 20, 2017
Countless words have been written in recent years about the rise of the ‘gig economy’. As the natural evolution of the freelance model, the gig economy is based on short-term and temporary jobs handled by contractors and other independent workers. Instead of hiring full-time staff, freelancers offer a concise way. The post Can Blockchain Supercharge the Gig Economy?
Dataconomy
NOVEMBER 22, 2017
To state the value of technology at this point would be a needless redundancy, but for as great a resource as the world of cyber information is, it also leaves crucial infrastructure vulnerable in a way that it has never been before. Without question this (relatively speaking) new threat is. The post 5 Insights on Infrastructure Cyber Attacks appeared first on Dataconomy.
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
NOVEMBER 8, 2017
GDP forecasting for the world’s major economies is no easy task, but new tools and ideas are always offering us ever more pragmatic insights. For that reason, I am very optimistic about the possibilities that machine learning opens up for us in macroeconomic forecasting. In my work, I try to. The post Making Better Economic Forecasts with Machine Learning appeared first on Dataconomy.
Dataconomy
NOVEMBER 20, 2017
Graph databases are now common within a range of industries such as life sciences, healthcare, financial services, government and intelligence. Graphs are particularly valuable in these sectors because of the complex nature of the data and need for powerful, yet flexible data analytics. In addition, graph databases allow visibility across. The post How to keep graph databases both flexible and secure appeared first on Dataconomy.
Dataconomy
NOVEMBER 6, 2017
By Peter Friess // Programme Officer // Media Policy Directorate – Social Media & Networks – STARTS // European Commission, DG Connect, Brussels, Belgium There is much talk on the subject of digitization. While many think that digitization is just an inevitable force in our world, others are making the important point that in. The post A Better way to Digitize European Industries appeared first on Dataconomy.
Dataconomy
NOVEMBER 12, 2017
The sudden evolution of the phone from a single-function device for making calls to a multifunctional pocket computer is one that’s already changed how we conduct business and live our lives a great deal. Now more than ever before, however, our behavior is also influencing this evolution to create products. The post Taking a look at “Hyper-personalization” 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
NOVEMBER 10, 2017
Startup expert Maren Lesche is an adept communicator – especially when she’s advising tech entrepreneurs on their business strategy. Maren’s expertise from her work at European Innovation Hub, European Pioneers and Startupbootcamp Digital has provided her with ample evidence that even the most tech-savvy companies can’t afford to slack.
Dataconomy
NOVEMBER 14, 2017
Ada’s AI-powered health companion helps individuals understand and manage their health. In practice, Ada works much like a GP in your pocket, asking relevant, personalized questions, enabling people to self-assess their symptoms and identify possible causes and appropriate next steps. Ada xais supported by a sophisticated AI engine and curated. The post A Look at Ada’s AI-Powered Health Companion appeared first on Dataconomy.
Dataconomy
NOVEMBER 27, 2017
With the constant threat of cyber attacks looming, the old adage “It’s not a matter of if you’re going to be breached, it’s a matter of when” still rings true. It’s no secret that the number of cyber attacks have sharply increased against organizations, each of them more destructive than. The post Automation and Effective Attack Frameworks: The Lifeblood of Today’s Red and Blue Teams appeared first on Dataconomy.
Dataconomy
NOVEMBER 3, 2017
This article was originally published on cmo.com Every decade or so, a new, game-changing technology platform changes the way the world works. From the desktop, to mobile, and to the cloud, the landscape continues to advance. And now? We are knee-deep in the artificial intelligence (AI) revolution—one so big that. The post How 3 Brands Are Using AI For Enhanced Creativity 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
NOVEMBER 1, 2017
By Dale T. Anderson, Talend Regional Manager, Customer Success Architect & Kent Graziano, Snowflake Senior Technical Evangelist So you want to build a Data Lake? Ok, sure let’s talk about that. Perhaps you think a Data Lake will eliminate the need for a Data Warehouse and all your business users will merely. The post Building a Governed Data Lake in the Cloud appeared first on Dataconomy.
Dataconomy
NOVEMBER 9, 2017
Whatever your field expertise, it’s a near guarantee that a handful of nimble, data-driven technologies have changed the game for you and everyone you work with. Stay up to date on how industry leaders are responding by checking out these four panels (among many more) taking place at Data Natives. The post DN2017: 4 Data Natives Panels That are all about industry disruption appeared first on Dataconomy.
Dataconomy
NOVEMBER 22, 2017
If you think for a moment about the world of computers and gaming, your mind might initially drift to the perceived glitz and glamor of the latest releases that showcase 4K graphics, or perhaps even the might of the PS VR, which hints at console gaming being ready to move into. The post Can Data Explain Why Online Slots Are Succeeding Against Tech-heavy Rivals?
Dataconomy
NOVEMBER 2, 2017
Necessity might be the mother of all inventions, but it takes many forward-thinking minds to figure out what customers want before even they realize it. That’s the main reason why so many companies have been putting real money and resources behind setting up “innovation labs.” Indeed, a 2015 study by. The post Adobe and AI: Making Sense of Sensei appeared first on Dataconomy.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Dataconomy
NOVEMBER 13, 2017
Franz Inc is an early AI innovator and a leading supplier Semantic Graph Database technology for Knowledge Graphs. On November 6th, the company has announced Triple Attributes for its Semantic Graph Database, known as AllegroGraph. This innovative feature for AllegroGraph provides the necessary power and flexibility to address high-security data environments such as.
Explosion
NOVEMBER 11, 2017
spaCy v2.0’s Named Entity Recognition system features a sophisticated word embedding strategy using subword features and "Bloom" embeddings, a deep convolutional neural network with residual connections, and a novel transition-based approach to named entity parsing.
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