Catégorie : #DATA ENG
L’actualité anglophone de la data, du Bigdata et de l’Opendata : utilisation, traitement et perspectives dans les secteurs publics et privés.
Voices in AI – Episode 103: A Conversation with Ben Goertzel
On Episode 103 of Voices in AI, Byron Reese discusses AI with Ben Goertzel of SingularityNET, diving into the concepts of a master algorithm and AGI’s. Source : https://gigaom.com/2019/12/26/voices-in-ai-episode-103-a-conversation-with-ben-goertzel/ Date : December 26, 2019 at 02:01PM Tag(s) : #DATA ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print
Study of Smart City Data
ABSTRACT. Lately, the world attention is directed to transforming daily life to a smarter one, we cannot deny the smart city concept that became. Source : https://dl.acm.org/ft_gateway.cfm?id=3368965&ftid=2100989&dwn=1&CFID=93530537&CFTOKEN=2085959f2a96609a-53FD3BA0-F91E-84CB-947E6D605FDC6D71 Date : December 26, 2019 at 04:02AM Tag(s) : #SMARTCITY ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print
2019 DATAVERSITY Top 20
It is once again time to look back and evaluate the struggles and successes of the previous year and then build those lessons into the year to come. Part of how we do that here at DATAVERSITY is to look at the content consumed by the community over the year…
Pros and Cons of Predictive Analytics in Healthcare
Click here to learn more about author Harsh Arora. As part of the Fourth Industrial Revolution, predictive analytics is surely a hot buzz word and is something that most of industries, including healthcare, are implementing. Predictive analytics is the branch of analytics that recognize patterns and predict future trends from…
RWDG Webinar: Utilize Governance Working Teams to Improve Data Quality
About the Webinar Data Governance working teams are typically formed with a specific purpose or function in mind. Teams are deployed to address enterprise-wide data issues, business function issues and operational issues. These teams are made up of the “right” people to solve the “right” […] Source : https://dama.org/content/rwdg-webinar-utilize-governance-working-teams-improve-data-quality Date…
How Big Data Analyst helped to increase Business Sales & turnover?
The market has been deluged with big data, it has become a driving force to dictate the outcome of enterprises. Source : https://datafloq.com/read/how-big-data-analyst-helped-to-increase-business-s/7359 Date : December 24, 2019 at 08:41AM Tag(s) : #DATA ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print
Massachusetts Auditor Says Revenue Department Needs to Better Protect Data
… to respond to or mitigate cyber attacks that it or its vendors … tax payment history, vulnerable to cyber attacks and inappropriate disclosure. The audit … Source : https://it.einnews.com/article/505661802/MEec9yf6BfSF_nwy?ref=rss&ecode=Pzxpqm_mVieIWF8G Date : December 24, 2019 at 01:58PM Tag(s) : #SECURITE ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print
The 3 biggest storage advances of the 2010s
It may be to remember, but 10 years ago our storage options were much less convenient – and way more expensive. Here’s my top 3 picks for the most consequential storage of the last decade. Source : https://www.zdnet.com/article/the-3-biggest-storage-advances-of-the-2010s/#ftag=RSSbaffb68 Date : December 24, 2019 at 03:40PM Tag(s) : Médias internationaux Share…
How to create a business glossary on Talend Data Catalog using API Services and Data Stewardship
We often come across people talking about managing their data by one means such as a Data Lake, MDM or data governance. Modern data management is not only about managing your data but also about making data useful for the business. Source : https://www.talend.com/blog/2019/12/23/how-to-create-business-glossary-talend-data-catalog-api-services-data-stewardship/ Date : December 23, 2019 at…
How the ‘big 5’ bolstered their AI through acquisitions in 2019
All the big tech firms secured AI talent and technology through acquisitions this year, including Facebook, Amazon, Apple, Microsoft, and Google.Read More Source : https://venturebeat.com/2019/12/23/how-the-big-5-bolstered-their-ai-through-acquisitions-in-2019/ Date : December 23, 2019 at 02:33PM Tag(s) : #DATA ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print
Working with nested data types using Amazon Redshift Spectrum
Redshift Spectrum is a feature of Amazon Redshift that allows you to query data stored on Amazon S3 directly and supports nested data types. This post discusses which use cases can benefit from nested data types, how to use Amazon Redshift Spectrum with nested data types to achieve excellent performance…
Smart city: Huge investment in data essential –Experts
o ensure a sustainable development of futuristic smart city anywhere in the country, government at all levels have been urged to invest massively in … Source : https://www.newtelegraphng.com/2019/12/smart-city-huge-investment-in-data-essential-experts/ Date : December 24, 2019 at 04:46AM Tag(s) : #SMARTCITY ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print
Predictive Analytics Techniques in One Picture
Predictive analytics is a wide field of techniques that share a common goal of predicting future behavior. Choosing the right prediction modeling method is perhaps the most important step in the process, because predictive models are the driving force behind predictive analytics. Source : http://www.datasciencecentral.com/xn/detail/6448529:BlogPost:916524 Date : December 22, 2019…
Twitter and Microsoft show data privacy is moving from sticking point to selling point
A couple of tech heavyweights are making data privacy part of their branding, hoping to stay ahead of regulations.Read More Source : https://venturebeat.com/2019/12/21/twitter-and-microsoft-show-data-privacy-is-moving-from-sticking-point-to-selling-point/ Date : December 22, 2019 at 12:09AM Tag(s) : #DATA ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print
AI and the future of work: Will Artificial Intelligence make us all into Polymaths in the future?
AI and the future of work is a major topic of discussion. Most views on this subject are negative … Source : http://www.datasciencecentral.com/xn/detail/6448529:BlogPost:917027 Date : December 23, 2019 at 02:28AM Tag(s) : #DATA ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print
Free Books Data Science & AI
I share a list of recommended free books for Data Science & AI from introductory level to advanced techniques. Source : http://www.datasciencecentral.com/xn/detail/6448529:BlogPost:915339 Date : December 23, 2019 at 01:55AM Tag(s) : #DATA ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print
Top 9 Data Science Use Cases in Analytics
Data science and analytics are growing in their popularity and range of applications in the modern world. Data science deals with answering questions and uncovering hidden insights, while analytics is rather concentrated on the processing itself and conducting of statistical analysis of data sets. Source : http://www.datasciencecentral.com/xn/detail/6448529:BlogPost:915421 Date : December…
Top NLP Algorithms & Concepts
Today, one of the most popular tasks in Data Science is processing information presented in the text form. Exactly this is text representation in the form of mathematical equations, formulas, paradigms, patterns in order to understand the text semantics (content) for its further processing: classification, fragmentation, etc. Source : http://www.datasciencecentral.com/xn/detail/6448529:BlogPost:916808…
Why Digital Adoption Rests On Understanding Employee Data
Digital transformation is one of the biggest challenges facing enterprises today. In a rapidly changing market, many organizations are struggling to keep up with the pace of business. Source : https://www.smartdatacollective.com/why-digital-adoption-rests-on-understanding-employee-data/ Date : December 21, 2019 at 11:21AM Tag(s) : #DATA ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print
Key Criteria for Evaluating Data Storage for Kubernetes
Enterprises of all sizes are embracing hybrid cloud strategies that are becoming more complex and structured. We are quickly moving from a first adoption phase where data and applications are distributed manually and statically in different on-premises and cloud environments, to a new paradigm in which data and application mobility…