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.
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
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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.
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.
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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?
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.
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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.
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.
KDnuggets
JANUARY 17, 2020
This article will tell you about the top 9 mobile apps that help the user in learning and practicing data science and hence is improving their productivity.
Corinium
JANUARY 13, 2020
In the last decade regulatory requirements in financial services increased significantly.
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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 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.
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.
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.
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
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.
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.
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.
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.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
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.
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.
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.
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.
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. .
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.
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 […].
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
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.
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.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
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 […].
Andrew White
JANUARY 16, 2020
Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Pieter den Hamer storms into top spot last week with this new note on migrating your data and analytics platform. Its a must-read for those of you looking at analytics, BI and data science, data management, and emerging data and analytics governance platforms.
KDnuggets
JANUARY 15, 2020
In this post I want to show how to use public available (open) data to create geo visualizations in python. Maps are a great way to communicate and compare information when working with geolocation data. There are many frameworks to plot maps, here I focus on matplotlib and geopandas (and give a glimpse of mplleaflet).
Data Science 101
JANUARY 11, 2020
The Data Science for Social Good Summer Fellowship , now hosted at Carnegie Mellon University, is accepting applications. This is a 12-week program to train data scientists about working on projects which positively impact society. There are a number of roles available. Fellows Mentors Project Managers. Most applications are due January 31, 2020. They are also still accepting applications for projects, so if you are an organization working on social problems, this could be a great opportunity to
Speaker: Jesse Simms, VP at Giant Partners
This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.
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