Analytics Vidhya

JANUARY 14, 2020

Overview Looking to transition into data science? Here are 5 paths for a non-data science person to land a role in this space The. The post 5 Thoughts on How to Transition into Data Science from Different Backgrounds appeared first on Analytics Vidhya.

Data Science 395

Data Science Analytics Deep Learning Machine Learning 395

Corinium

JANUARY 16, 2020

Paul Morley.

Analytics 377

Analytics 377

O'Reilly on Data

JANUARY 15, 2020

Roger Magoulas recently sat down with Edward Jezierski, reinforcement learning AI principal program manager at Microsoft, to talk about reinforcement learning (RL). They discuss why RL’s role in AI is so important, challenges of applying RL in a business environment, and how to approach ethical and responsible use questions. Here are some highlights from their conversation: Reinforcement learning is different than simply trying to detect something in an image or extract something from a da

Insurance 282

Insurance Measurement Risk IT 282

datapine

JANUARY 14, 2020

“There is only one boss. The customer.” – Sam Walton, Walmart’s founder. Customer experience is slowly but surely exceeding both price and product as the world’s most critical brand differentiator, according to numerous articles over the Internet written by industry experts. Brands with the ability to build flawless customer experiences and offer exceptional standards of customer service (CS) stand to set themselves apart from their competitors in a notable way.

Reporting 168

Reporting KPI Metrics Dashboards 168

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Optimization

Analytics Vidhya

JANUARY 12, 2020

Overview Generative models and GANs are at the core of recent progress in computer vision applications This article will introduce you to the world. The post What are Generative Models and GANs? The Magic of Computer Vision appeared first on Analytics Vidhya.

Modeling 328

Modeling Analytics Deep Learning 328

Corinium

JANUARY 13, 2020

In the last decade regulatory requirements in financial services increased significantly.

Data Quality 311

Data Quality Analytics 311

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise. As the value of data and the way it is used by organizations has changed over the years, so too has data modeling.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Analytics Vidhya

JANUARY 13, 2020

Overview How do machine learning pipelines work? What’s the role of AI in retail? How important is ethics in this field? We are thrilled. The post Building Machine Learning Pipelines and AI in Retail – A Powerful Interview with Rossella Blatt Vital appeared first on Analytics Vidhya.

Machine Learning 272

Machine Learning Analytics 272

Corinium

JANUARY 16, 2020

AI is coming to the disrupt the insurance industry. From Ping An in China to Lemonade in the US, companies across the globe are harnessing AI technologies to drag the sector into the 21st century.

Insurance 243

Insurance Technology Machine Learning 243

KDnuggets

JANUARY 16, 2020

With integrations of multiple emerging technologies just in the past year, AI development continues at a fast pace. Following the blueprint of science and technology advancements in 2019, we predict 10 trends we expect to see in 2020 and beyond.

Technology 160

Technology IoT 160

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Data Science 101

JANUARY 17, 2020

Some news this week out of Microsoft and Amazon. News. Azure is now ISO/IEC 27701 Certified Azure becomes the first public cloud to receive this certification for Privacy and Information Management Python in Visual Studio Code Visual Studio Code now allows a user to select which version of python should be used for the Jupyter Notebook AWS Quick Start now deploys Matillion ETL for Amazon Redshift Title says it all, but if you use Matillion and Redshift, this is a big win for you.

Data Science 120

Data Science Visualization Machine Learning Software 120

Analytics Vidhya

JANUARY 15, 2020

Overview An introduction to link prediction, how it works, and where you can use it in the real-world Learn about the importance of Link. The post A Guide to Link Prediction – How to Predict your Future Connections on Facebook appeared first on Analytics Vidhya.

Analytics 236

Analytics IT Unstructured Data Machine Learning 236

Corinium

JANUARY 13, 2020

Data leaders at Latin America’s tech ‘unicorns’ are in a unique position. Young companies often have data in their bones but lack the budget for truly innovative data projects. Meanwhile, established enterprises have the resources for data initiatives, but are stubborn and resistant to change. Unicorns represent the best of both worlds.

Data Transformation 243

Data Transformation Enterprise Analytics 243

KDnuggets

JANUARY 17, 2020

This summary overviews the keynote at TensorFlow World by Jeff Dean, Head of AI at Google, that considered the advancements of computer vision and language models and predicted the direction machine learning model building should follow for the future.

Machine Learning 150

Machine Learning Modeling 150

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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven

Smart Data Collective

JANUARY 17, 2020

Big Data has a lot of great uses in the work of consumer marketing. Experts recognize that its benefits go well beyond the needs of individual consumers. In fact, Big Data has many uses in helping patient lives in the world of healthcare. The market for big data in healthcare is growing 22% a year. From predicting risk factors to helping cure disease, Big Data in healthcare is multi-faceted.

Big Data 110

Big Data Insurance Risk Testing 110

Data Science and Beyond

JANUARY 11, 2020

The passage of time makes wizards of us all. Today, any dullard can make bells ring across the ocean by tapping out phone numbers, cause inanimate toys to march by barking an order, or activate remote devices by touching a wireless screen. Thomas Edison couldn’t have managed any of this at his peak—and shortly before his time, such powers would have been considered the unique realm of God. – Rob Reid, After On.

Software 103

Software Data Science Machine Learning Deep Learning 103

Corinium

JANUARY 15, 2020

Bringing together a collection of stories to celebrate success and to further drive and inspire data innovation in Australia. With a unique data story around financial wellbeing, Andrea Nicastro, Data Scientist at Commonwealth Bank took us through their journey. Through listening to customers to understand what is important to them, working with community groups, experts in economic and social studies, and policy makers, CBA were able to better understand Australia’s most pressing financial chal

Reporting 195

Reporting Analytics 195

KDnuggets

JANUARY 16, 2020

This post is about fast-tracking the study and explanation of tree concepts for the data scientists so that you breeze through the next time you get asked these in an interview.

Data Science 146

Data Science 146

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

BizAcuity

JANUARY 17, 2020

Microsoft Dynamics 365 can easily be integrated with other Microsoft solutions as well as a myriad of third-party applications such as web portals, BI applications, and ERP systems. Such integration allows B2B companies and enterprises to leverage all tools and resources of Microsoft to get their business done. Managing end-to-end business processes becomes easier with the power of Dynamics 365 coupled with the required business applications that can be integrated.

Cost-Benefit 99

Cost-Benefit B2B Software Management 99

DataRobot

JANUARY 16, 2020

AI has made great impacts on organizations across all industries and around the world. As AI adoption increases, more use cases are beginning to emerge, especially within the healthcare industry. Looking over the past decade, we can see how many healthcare organizations have been transformed with regard to the way they use data. And, as healthcare groups continue to leverage AI throughout their teams and departments, they’ll need to focus on monitoring and management to prevent misuse and ensure

IT 19

IT Management 19

Data Science 101

JANUARY 15, 2020

We all are familiar with experiments , we read about them in books or newspapers. Researchers/ scientists perform experiments to validate their hypothesis/ statements or to test a new product. Unlike observational studies, experiments are performed in a controlled environment so that the effect of other external factors/variables can be eliminated from it.

Experimentation 96

Experimentation Statistics Measurement Testing 96

KDnuggets

JANUARY 15, 2020

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.

139

139

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Reporting

Sisense

JANUARY 15, 2020

Blog. In our Event Spotlight series, we cover the industry events of all kinds to help builders learn about the latest tech, trends, and people innovating in the data and analytics space. Sisense Hackathon 2020 continues our annual tradition of pushing the envelope for innovation, creativity, and collaboration, company-wide. A diverse array of Sisensers with different backgrounds brainstorm wild ideas to build new products and solve problems. .

Big Data 89

Big Data Visualization Testing Data Science 89

TDAN

JANUARY 14, 2020

Recording requirements for success is an important first step toward demonstrating the value of a Data Governance program. Practitioners know that Data Governance requires planning, resources, money and time and that several of these objects are in short supply. Data Governance requirements are instrumental to 1) planning for Data Governance, 2) the definition of Data […].

Data Governance 89

Data Governance Metadata Data Strategy Business Intelligence 89

Decision Management Solutions

JANUARY 16, 2020

The Machine Learning Times (previously Predictive Analytics Times) is the only full-scale content portal devoted exclusively to predictive analytics. It has become a standard must-read and machine learning professionals’ premier resource, delivering timely, relevant industry-leading articles, videos, events, white papers, and community. In this month’s featured article, Eric Siegel, Ph.D., executive editor of The Machine Learning Times and founder of the Predictive Analytics World and Deep Learn

Machine Learning 87

Machine Learning Predictive Modeling Predictive Analytics Deep Learning 87

KDnuggets

JANUARY 14, 2020

All you need to know about decision trees and how to build and optimize decision tree classifier.

Optimization 123

Optimization 123

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

DataRobot

JANUARY 15, 2020

A few days ago, Kaggle --and its data science community--was rocked by a cheating scandal. Kaggle is a popular online forum that hosts machine learning competitions with real-world data, often provided by commercial or non-profit enterprises to crowd-source AI solutions to their problems. For every competition, the host provides a training and test set of data.

Data Processing 16

Data Processing Testing Metrics Machine Learning 16

TDAN

JANUARY 14, 2020

Recently, I’ve encountered many client staff, course students, and conference attendees who are grappling with the basic question: “What is the difference between Data Managementand Data Governance?” It seems that the more our industry expands, the more frequently this question is asked. ———- I attribute this to a few factors: The increasing volume of data […].

Data Governance 87

Data Governance IT Data Strategy Business Intelligence 87

Octopai

JANUARY 12, 2020

For the past year, I’ve had the opportunity to speak with scads of BI professionals from multiple verticals, in dozens of countries on a daily basis. From Data Analysts, BI Architects, Developers, and Data Governance Leaders to IT and BI Managers. If you’re in the Business Intelligence world, there is a chance that you and I had a brief chat about metadata.

Metadata 83

Metadata Management Data Governance Business Intelligence 83

KDnuggets

JANUARY 13, 2020

Building Machine Learning models is fun, but making sure we build the best ones is what makes a difference. Follow this quick guide to appreciate how to effectively evaluate a classification model, especially for projects where accuracy alone is not enough.

Machine Learning 122

Machine Learning Modeling Predictive Modeling 122

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven