Dataconomy
APRIL 26, 2017
According to the prediction of IDC Futurescapes, Two-thirds of Global 2000 Enterprises CEOs will center their corporate strategy on digital transformation. A major part of the strategy should include machine-learning (ML) solutions. The implementation of these solutions could change how these enterprises view customer value and internal operating model today.
Distill
APRIL 4, 2017
We often think of optimization with momentum as a ball rolling down a hill. This isn't wrong, but there is much more to the story.
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Christian Haschek
APRIL 23, 2017
I wanted to do this project for years but only recently decided to give it a try.
Explosion
APRIL 1, 2017
Short of Artificial General Intelligence, we'll always need some way of specifying what we're trying to compute. Labelled examples are a great way to do that, but the process is often tedious. However, the dissatisfaction with supervised learning is misplaced. Instead of waiting for the unsupervised messiah to arrive, we need to fix the way we're collecting and reusing human knowledge.
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
APRIL 21, 2017
It is no doubt that the sub-field of machine learning / artificial intelligence has increasingly gained more popularity in the past couple of years. As Big Data is the hottest trend in the tech industry at the moment, machine learning is incredibly powerful to make predictions or calculated suggestions based. The post Intro to Machine Learning: 10 Essential Algorithms For Machine Learning Engineers appeared first on Dataconomy.
Dataconomy
APRIL 24, 2017
Many process manufacturing owner-operators in this next phase of a digital shift have engaged in technology pilots to explore options for reducing costs, meeting regulatory compliance, and/or increasing overall equipment effectiveness (OEE). Despite this transformation, the adoption of advanced analytics tools still presents certain challenges. The extensive and complicated tooling.
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Dataconomy
APRIL 10, 2017
Business leaders are growing weary of making further investments in business intelligence (BI) and big data analytics. Beyond the challenging technical components of data-driven projects, BI and analytics services have yet to live up to the hype. Early adopters and proponents were quick to frame solutions as miraculous reservoirs of. The post The Data Pipeline – Analytics at the Speed of Business appeared first on Dataconomy.
Dataconomy
APRIL 28, 2017
As your business succeeds, there will come a point when you have to expand your market. A research by Accenture predicts that B2C ecommerce will reach $3.4 trillion globally as more people around the globe prefer purchasing online. Forrester also expects more B2B purchases to shift online as well. Because. The post Payments – How Fintech Can Fuel Global Expansion appeared first on Dataconomy.
Dataconomy
APRIL 19, 2017
Deep neural networks and Deep Learning are powerful and popular algorithms. And a lot of their success lays in the careful design of the neural network architecture. I wanted to revisit the history of neural network design in the last few years and in the context of Deep Learning. For. The post The History of Neural Networks appeared first on Dataconomy.
Dataconomy
APRIL 25, 2017
In May of 2012, just 4 weeks before the official date, the opening of Berlin’s new international airport is announced to be delayed for another couple of weeks. Weeks became months and months became years. The latest prediction for its actual opening is late 2018. There is a huge mismatch. The post Before Artificial Intelligence takes over our jobs, it will organize our work. 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
APRIL 5, 2017
Financial markets offer countless ways of making (or losing) money. A key distinction among them is the investment horizon, which can range from fractions of a second to years. Walnut Algorithms and Global Systematic Investors are new investment management firms representing the high-frequency and low-frequency sides, respectively. I sat down. The post Investing, fast and slow – Part 1: The Present and the Future of AI in Investment appeared first on Dataconomy.
Dataconomy
APRIL 6, 2017
Big data is big news at the moment. The latest Yahoo! data breach, which affected data from over 500 million customers, continues to be discussed by press and public alike, while the role of big data in predicting and even influencing last year’s US election brought the term firmly into. The post Big Data Symbiosis: Using Lessons from Big Data to Protect Big Data appeared first on Dataconomy.
Dataconomy
APRIL 3, 2017
As the collectors of actionable input information, networked smart devices with embedded sensors, software and electronics are a key driving force behind the Internet of Things (IoT). However, they do not generate value for organizations on their own. Powerful, fast database technologies are required to create meaningful insight from the. The post Three Key Facts About Sensors That Are Driving IoT Forward appeared first on Dataconomy.
Dataconomy
APRIL 14, 2017
The latest version of MySQL is one of the world’s most popular databases. It is open source, reliable, compatible with all major hosting providers, cost-effective, and easy to manage. Many organizations are leveraging the data security and strong transactional support offered by MySQL to secure online transactions and enhance customer. The post The 5 Best Reasons to Choose MySQL – and its 5 Biggest Challenges 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
APRIL 12, 2017
Financial markets offer countless ways of making (or losing) money. A key distinction among them is the investment horizon, which can range from fractions of a second to years. Walnut Algorithms and Global Systematic Investors are new investment management firms representing the high-frequency and low-frequency sides, respectively. I sat down. The post Investing, fast and slow – Part 2: Investment for Data Scientists 101 appeared first on Dataconomy.
Dataconomy
APRIL 17, 2017
Oftentimes while analyzing big data we have a need to make checks on pieces of data like number of items in the dataset, number of unique items, and their occurrence frequency. Hash tables or Hash sets are usually employed for this purpose. But when the dataset becomes so enormous that. The post Big Data 101: Intro To Probabilistic Data Structures appeared first on Dataconomy.
Dataconomy
APRIL 7, 2017
For those of you similarly interested (obsessed?) with the changing role of government statistics relative to the explosion of highly dimensional private sector data, I recommend having a look at Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy from the National Academy of Sciences. It’s an easy read and offers a solid.
Christian Haschek
APRIL 17, 2017
[update] I have extended the bot to be able to trade *
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.
Explosion
APRIL 1, 2017
We wrote this post while working on Prodigy , our new annotation tool for radically efficient machine teaching. Prodigy features many of the ideas and solutions for data collection and supervised learning outlined in this blog post. It’s a cloud-free, downloadable tool and comes with powerful active learning models. For more details, see the website or try the live demo.
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