Étiquette : #DATA ENG
How Explain Data’s MIT origins helped bring AI to the analyst
Explain Data, now in Tableau 2019.3, helps accelerate your analytics by leveraging the power of artificial intelligence (AI) to explain specific points in your data. Before the technology made its way into Tableau, it started as an academic project at the MIT Probabilistic Computing Project, funded through a grant around…
Data Science in 90 Seconds: Deep Learning
Click to learn more about video blogger Laura Kahn. This is Lesson 16 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees…
What Makes a Data Analyst?
Click to learn more about author Mathias Golombek. Today’s businesses rely heavily on customer, product, process, input and market data. They increasingly need talented, skilled people who can extract information and insights from the data. But what skills are employers looking for? In data analytics, there are some skills and qualities employers…
Talend Introduces New Cloud Solution
Talend has announced the Talend Cloud, which is “now available on Microsoft Azure, offering a secure and scalable Integration Platform-as-a-Service for collecting, transforming and cleaning data. With embedded data quality and native integration performance, Talend Cloud on Microsoft Azure delivers the trusted data companies need to make real-time business decisions,…
DataEd Slides: Data Quality Success Stories
Data Quality Success Stories from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> Original Air Date: October 8, 2019 This webinar is sponsored by: About the Webinar Good data is like good water: best served fresh, and ideally well-filtered. Data Management strategies can produce tremendous…
DataEd Webinar: Data Quality Success Stories
To view just the slides from this presentation, click HERE>> Original Air Date: October 8, 2019 This webinar is sponsored by: About the Webinar Good data is like good water: best served fresh, and ideally well-filtered. Data Management strategies can produce tremendous procedural improvements and increased profit margins across the…
Why We Should Be Careful When Building AI
Artificial intelligence offers a lot of advantages for organisations by creating better and more efficient organisations, improving customer services with conversational AI and reducing a wide variety of risks in different industries. Although we are only at the start of the AI revolution, we can already see that artificial intelligence…
How New Health Care Platforms Will Improve Patient Care
Combining data from multiple sources, they create a more holistic view of the patient. Source : https://hbr.org/2019/10/how-new-health-care-platforms-will-improve-patient-care Date : October 11, 2019 at 04:31PM Tag(s) : #DATA ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print
How Informatica Data Engineering Goes Hadoop-less with Databricks
It’s been exciting work for the team because of what we can do for joint customers that combine our Managed Delta Lake with Informatica’s Big Data Management and Enterprise Data Catalog. Source : https://databricks.com/blog/2019/10/10/how-informatica-data-engineering-goes-hadoop-less-with-databricks.html Date : October 10, 2019 at 09:41PM Tag(s) : #DATA ENG Share this… Email Facebook Twitter…
Big Data Developments in Astroparticle Physics with Dr.Bradley Kavanagh
Because of the advancements in machine-learning based image recognition and AI-driven optimization, the influence of big data in the context of computer science is given a lot of attention. But today, we will explore the effect of big data on one of the most exciting fields of science. Astroparticle physics…
Catalyst and Accelerant for Decision Making: Data Engineering and Analytics Applications
We live in a world driven by insights and decision making fueled by data and analytics. Information and technologies are so ubiquitous that no organization needs to be a digital titan (such as Amazon or Google) to compete in today’s world of business. Source : http://www.datasciencecentral.com/xn/detail/6448529:BlogPost:896348 Date : October 10, 2019…
Understanding Dataflow graphs in TensorFlow
In order to be a highly efficient, flexible, and production-ready library, TensorFlow uses dataflow graphs to represent computation in terms of the relationships between individual operations. Dataflow is a programming model widely used in parallel computing and, in a dataflow graph, the nodes represent units of computation while the edges…
Preparing for AI Driven Future with Hybrid Cloud
Organizations across the globe are buzzing about the cloud as the savior of their data management needs that provides them with the assistance they require for their business solutions. In this digital era of insights and analytics, the cloud has emerged as the best possible source for data management. Source…
Leverage AI to Create Autonomous Policies that Adapts without Human Intervention
Policies are the foundation for any successful organization. Policies are the rules, or laws, of an organization. Policies document the principles, best practices and compliance guidelines that aid decision-making in supporting the consistent and repeatable operations of the business. Heck, one could argue that an organization’s culture is better defined…
AI startups stand out at Comcast Lift Labs Accelerator 2019
Comcast held the demo day for its second Lift Labs Accelerator class, powered by Techstars and headquartered in Philadelphia, Pennsylvania.Read More Source : https://venturebeat.com/2019/10/10/ai-startups-stand-out-at-comcast-lift-labs-accelerator-2019/ Date : October 11, 2019 at 12:06AM Tag(s) : #DATA ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print
Detroit initiative selects five quick mobility wins for the city
The Detroit Mobility Innovation Initiative (DMII) has developed five pilot programs to tackle the city’s transportation challenges, with the schemes designed to offer residents and visitors easier, safer and more affordable ways to get around the city within the next 12 months. Source : https://www.traffictechnologytoday.com/news/public-transit/detroit-initiative-selects-five-quick-mobility-wins-for-the-city.html Date : October 11, 2019…
It’s Time to Productionize Data Science
To make Data Science part of business value creation, business users have to be part of the Data Science lifecycle. They need to be able to go back to Data Science teams and provide feedback so that the Data Science process reflects their requirements — and quickly. Models may need…
Making Data Simple – What it takes to drive transformation, with Bill Higgins
Source : https://www.ibmbigdatahub.com/podcast/making-data-simple-what-it-takes-drive-transformation-bill-higgins Date : October 10, 2019 at 12:22PM Tag(s) : #DATA ENG Share this… Email Facebook Twitter Linkedin Whatsapp Print
How AI Imperfections Can Help Us
Artificial intelligence (AI) is improving in astounding ways. The systems that use it can often diagnose illnesses more accurately than physicians with decades of experience or determine the content of images and then automatically tag them for easier retrieval later. Source : https://datafloq.com/read/how-ai-imperfections-can-help-us/7006 Date : October 10, 2019 at 05:28PM…
CityLab Daily: The Cities Where Emissions Are Dropping
The press conference at the World Mayors’ Summit also announced that Los Angeles Mayor Eric Garcetti will be the new chair of C40 Cities Climate Leadership Group, replacing Paris Mayor Anne Hidalgo, who has led the group for the past two years. Source : https://www.citylab.com/newsletter-editions/2019/10/citylab-daily/599695/?utm_source=feed Date : October 9, 2019…