Dataconomy

DECEMBER 18, 2018

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.

Big Data 195

Big Data Big Data Internet of Things 195

Eugene Yan

DECEMBER 19, 2018

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

Artificial Intelligence 100

Artificial Intelligence Artificial Intelligence 100

Depends on the Definition

DECEMBER 25, 2018

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.

52

52

DataCentric podcast

DECEMBER 6, 2018

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

52

52

Advertisement

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?

AI

Dataconomy

DECEMBER 21, 2018

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.

Artificial Intelligence 194

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 194

Dataconomy

DECEMBER 10, 2018

The challenges facing cities in the 21st century are greater than ever. A new focus is required to overcome the emerging social, technological, economic, environmental, and political forces exerting pressure on cities. This new focus must address how to create cities that are sustainable– for citizens, for business and for. The post Improving Quality of Life in Future Cities: Data as a Tool to Promote Sustainability appeared first on Dataconomy.

Internet of Things 192

Internet of Things Analytics Analytics Data Science 192

Dataconomy

DECEMBER 27, 2018

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.

AI 182

AI AI Analytics Analytics 182

Dataconomy

DECEMBER 4, 2018

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.

Data Scientist 153

Data Scientist Big Data Big Data Data Science 153

Dataconomy

DECEMBER 21, 2018

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.

137

137

Dataconomy

DECEMBER 12, 2018

“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?

132

132

Advertisement

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.

Database

Depends on the Definition

DECEMBER 9, 2018

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.

Natural Language Processing 52

Natural Language Processing 52

DataCentric podcast

DECEMBER 18, 2018

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

Azure 40

Azure 40