December, 2018

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How Big Data Assists in Disaster Relief and Preparedness

Dataconomy

Disasters are dangerous, but Big Data can help improve disaster relief and preparedness to cut back on lives lost and community damage. Historically, public policies have proved ineffective in providing adequate help for disaster-stricken citizens. A year after hurricane Harvey in 2017, for example, residents are still in the midst. The post How Big Data Assists in Disaster Relief and Preparedness appeared first on Dataconomy.

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OMSCS CS6601 (Artificial Intelligence) Review and Tips

Eugene Yan

OMSCS CS6601 (Artificial Intelligence) - First, start with the simplest solution, and then add intelligence.

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Text analysis with named entity recognition

Depends on the Definition

This is the second post of my series about understanding text datasets. If you read my blog regularly, you probably noticed quite some posts about named entity recognition. In this posts, we focused on finding the named entities and explored different techniques to do this.

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Dec 6 2018: Recapping Amazon re:Invent & HPE Discover

DataCentric podcast

In this episode of the DataCentric podcast, hosts Matt and Steve discuss the large number of datacenter-impacting announcements at Amazon’s premier cloud event re:Invent, including news of Amazon deploying their custom-built ARM parts, bringing cloud on-prem, and more. The team also recaps the highlights from HPE Discover in Madrid, where the focus was on edge computing, composable infrastructure and intelligent storage. * Here are some links to explore, should you want to go deeper: * We've

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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.

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Dad And The Egg Controller

Hacker News

After dad died, trying to be useful, we looked through his office. ‘Office’ is underselling it – there was so much equipment that it could equally qualify as a workshop or even a lab. It had the special kind of ordely chaos of a place filled with a thousand incredibly specific things, meticulously organised by type, when you don’t know any of the types.

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Artificial Intelligence Predictions for the year 2019

Dataconomy

Artificial Intelligence is dominating innovation in companies across the globe- doesn’t matter if they are giant conglomerates or young startups. According to a report by Research and Markets titled Artificial Intelligence Market by Technology, and Industry Vertical – Global Opportunity Analysis and Industry Forecast, 2018-2025, the global Artificial Intelligence market.

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What is the future of data-driven advertising?

Dataconomy

The digital advertising market has doubled in size over the past five years, with the total ad spend in Europe approaching €50 billion, according to the IAB. The success and continued growth of the market is reliant on the massive volumes of data produced each day – an estimated 2.5 quintillion. The post What is the future of data-driven advertising?

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Not Accounting for Bias in AI Is Reckless

Dataconomy

I’ll never forget my “aha” moment with bias in AI. I was working at IBM as the product owner for Watson Visual Recognition. We knew that the API wasn’t the best in class at returning “accurate” tags for images, and we needed to improve it. I was nervous about the. The post Not Accounting for Bias in AI Is Reckless appeared first on Dataconomy.

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It’s a Wrap: Highlights from Data Natives 2018

Dataconomy

How do you merge the perspectives of the data scientists, entrepreneurs, investors, student and CTO’s under one roof when it comes to data-driven decisions? How do you bring together the likes of Google and IBM with academics and universities to find answers to the most relevant questions in the world. The post It’s a Wrap: Highlights from Data Natives 2018 appeared first on Dataconomy.

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Why AIOps Must Move From Monitoring to Observability

Dataconomy

For some time, observability in IT operations has been associated with three data types that monitoring systems must ingest in order to be at least somewhat effective: logs, metrics, and traces. This limit to the type of data consumed is far from efficient when it comes to the true needs. The post Why AIOps Must Move From Monitoring to Observability appeared first on Dataconomy.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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IT ‘Mix and Match’ – Can We Make It Work?

Dataconomy

“Mix and match” might work for products on sale at the supermarket, but it’s not necessarily the best strategy for an IT department. In this case, the “mixing” involves adopting cloud solutions along with in-house IT systems, with the IT team managing the relationship between the different systems. The issue. The post IT ‘Mix and Match’ – Can We Make It Work?

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Named entity recognition with Bert

Depends on the Definition

In 2018 we saw the rise of pretraining and finetuning in natural language processing. Large neural networks have been trained on general tasks like language modeling and then fine-tuned for classification tasks. One of the latest milestones in this development is the release of BERT.

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Dec 19 2018: 2018 Datacenter Trends

DataCentric podcast

In this episode of the DataCentric podcast, hosts Matt and Steve from Moor Insights & Strategy discuss the trends that drove the past year in enterprise compute. They touch on the just-released market numbers for enterprise server and storage, talk about how the realities of cloud are impacting innovation in a hybrid-cloud world, Nutanix, Microsoft Azure, and more. 00:00 Introductions 01:20 3Q18 Server and Enterprise Storage Numbers 02:20 The Impact of China on the Enterprise Hardwarwe Marke

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