KDnuggets
NOVEMBER 15, 2019
With artificial intelligence and machine learning now a mainstay of our daily awareness, news organizations have been seen to overstate the reality behind progress in the field. Learn more about recent examples of media hyperbole and explore why this may be happening.
Analytics Vidhya
NOVEMBER 10, 2019
Overview What is Game Theory? And how does it apply to artificial intelligence (AI)? Game theory for AI is a fascinating concept that we. The post Game (Theory) for AI? An Illustrated Guide for Everyone appeared first on Analytics Vidhya.
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Domino Data Lab
NOVEMBER 14, 2019
This Domino Data Science Field Note covers a proposed definition of interpretability and distilled overview of the PDR framework. Insights are drawn from Bin Yu, W. James Murdoch, Chandan Singh, Karl Kumber, and Reza Abbasi-Asi’s recent paper, “Definitions, methods, and applications in interpretable machine learning” Introduction. Model interpretability continues to spark public discourse among industry.
O'Reilly on Data
NOVEMBER 13, 2019
In this interview from O’Reilly Foo Camp 2019, Eric Jonas, assistant professor at the University of Chicago, pierces the hype around artificial intelligence. Highlights from the interview include: Jonas argues that “AI is a lie”—meaning that our expectations far outsize the reality of what’s currently possible. One of the issues arising from that disconnect is a level of corporate investment in the research process that hasn’t been seen before.
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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?
Corinium
NOVEMBER 11, 2019
Digitization is one of the most popular customer experience (CX) optimization techniques. It involves taking analogue or manual customer interactions and replacing them with digitally assisted or automatic ones.
datapine
NOVEMBER 13, 2019
It doesn’t matter how innovative your brand is or how groundbreaking your business model might be; if your business is ridden with glaring inefficiencies, your potential for growth is eventually going to get stunted. In fact, an IDC study showed that over 80% of business leaders surveyed from sales, HR, procurement, and other departments agreed that issues arise because companies are equipped with different internal systems and applications that don’t ‘talk’ to one other. 43% of the surveyed sta
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Data Science 101
NOVEMBER 14, 2019
Last week at Microsoft Ignite 2019, Microsoft Research announced the release of Project Silica. This is an amazing new technology to store data on a piece of glass. I was lucky enough to get the opportunity to sit down with Antony Rowstron , Deputy Lab Director at Microsoft Research, and ask him all my questions. An interview with Project Silica Researcher, Ant Rowstron.
Corinium
NOVEMBER 14, 2019
Shrian Ramsamuj, Cyber Security Professional, Grindrod Bank will be presenting at the CISO Africa 2020 event in February 2020 and we caught up with him to find out more about himself and his current view of the industry.
Juice Analytics
NOVEMBER 12, 2019
As we watch Tableau and PowerBI pile on new capabilities, it has never been more obvious that the options for visualization tools have become a pile-up of copycat, me-too solutions. It is time for something fundamentally different: We have plenty of visual analysis tools designed for an elite group of data analysts; we need a solution for better data communication that anyone with data can use.
KDnuggets
NOVEMBER 11, 2019
A primary advantage of data analytics tools is that they can handle massive quantities of information at once. These solutions typically learn what's normal within a collection of information and how to spot anomalies.
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Data Science 101
NOVEMBER 15, 2019
Here are this weeks major announcements and news for doing data science in the cloud. Microsoft Azure. Microsoft and Salesforce form Partnership While not just for data science, this is big news. Azure has become the cloud provider for the Salesforce marketing cloud. GitHub Actions for Azure go GA GitHub actions can now deploy databases and fire off pipelines in Azure Announcing FarmBeats All about using AI and ML on the farm.
Corinium
NOVEMBER 11, 2019
255 delegates from local and global leading organizations attended the CDAO Africa 2019 event, which delivered as promised. The attendees could be categorized into three main types of people that attended the event.
Smart Data Collective
NOVEMBER 12, 2019
Did you know there are over 3.5 billion Facebook users? Social media has become the best way to market your brand when you want to reach specific audiences. There are 50,000 or more new posts on Instagram every day, and nearly 500,000 Tweets a day. So how are all these brands becoming so visible overnight? They are using data to target new and previous customers.
KDnuggets
NOVEMBER 11, 2019
With so many Data Scientists showing up on LinkedIn, it's time to make sure your profile is top-notch because your talent is still highly sought after. Recruitment specialists want to find you fast, and this guide will help you create the best profile to feature your expertise.
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.
Data Science 101
NOVEMBER 11, 2019
Welcome to the first beta edition of Cloud Data Science News. This will cover major announcements and news for doing data science in the cloud. If the first few are well received, this will become a weekly segment. Microsoft Azure. Azure Arc You can now run Azure services anywhere (on-prem, on the edge, any cloud) you can run Kubernetes. Azure Synapse Analytics This is the future of data warehousing.
DataRobot
NOVEMBER 15, 2019
Heraclitus, a Greek philosopher who lived 2,500 years ago, is credited with saying, “Change is the only constant.” Similarly, in 1789, Benjamin Franklin wrote, “In this world nothing can be said to be certain, except death and taxes.” This blog is about how we sometimes forget these two ideas when using artificial intelligence systems.
KDnuggets
NOVEMBER 13, 2019
While the revolution of deep learning now impacts our daily lives, these networks are expensive. Approaches in transfer learning promise to ease this burden by enabling the re-use of trained models -- and this hands-on tutorial will walk you through a transfer learning technique you can run on your laptop.
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.
Smart Data Collective
NOVEMBER 15, 2019
Big data is changing the future of SEO in countless ways. All ecommerce companies need to look for ways to utilize big data to make the most of their SEO strategies, because organic search is essential to their success. The Overwhelming Importance of Big Data in SEO of eCommerce Companies. Big data has created a paradox for the SEO community. Although Google is becoming a lot stricter with its algorithms, smart marketers are finding better ways to implement SEO strategies with data analytics.
FineReport
NOVEMBER 11, 2019
When data reporting was composed of a jumble of scribbled numbers, we couldn’t imagine technology has revolutionized the data reporting?beautiful, convenient, and closely integrated with various systems. Today, data reports have been the basis of data-decision, as well as be closely connected with data analysis and business intelligence to help us discover the insights in our business.
Paul Turley
NOVEMBER 13, 2019
This is a series of posts and exercises from a recent full-day workshop called Next Level Power BI. Check back for additional lessons and freely post your questions and feedback in the comments section after this post. Power Query is a modern data acquisition and transformation technology and it is the "Get Data" component of Power BI and many other Microsoft tools.
KDnuggets
NOVEMBER 14, 2019
This article provides covers how to automatically identify the topics within a corpus of textual data by using unsupervised topic modelling, and then apply a supervised classification algorithm to assign topic labels to each textual document by using the result of the previous step as target labels.
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.
Smart Data Collective
NOVEMBER 12, 2019
The CBD industry is growing at an astounding rate. So fast, in fact, that some companies are struggling to keep up with demand. And new companies are cropping up daily to get in on this brand new billion-dollar industry. But as the market becomes flooded with online outlets, it is essential for new companies to make proper use of the highly valuable resources that big data and artificial intelligence can offer.
IBM Big Data Hub
NOVEMBER 12, 2019
Making the case for AI, or any nascent technology for that matter, can be a struggle for companies today. While large enterprises know they need to be fast, agile and innovation-obsessed to survive disruption, their age-old policies, antiquated systems, disconnected data and entrenched corporate habits can be serious blockers to adoption.
bridgei2i
NOVEMBER 13, 2019
Case study: Improved customer satisfaction for global financial information provider. About the Client. A global financial information provider – publisher of one of world’s largest business news and financial information in a variety of media. Business Context. The enterprise has a High volume of Customer interaction data and feedback coming in from many disparate systems in varying formats.
KDnuggets
NOVEMBER 13, 2019
The following article is an introduction to classification and regression — which are known as supervised learning — and unsupervised learning — which in the context of machine learning applications often refers to clustering — and will include a walkthrough in the popular python library scikit-learn.
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.
Smart Data Collective
NOVEMBER 14, 2019
The digital gaming industry has undergone jolting changes over the past decade, as more organizations are looking towards data driven solutions. Gaming organizations have started to use big data to develop a deeper understanding of target customers. They have refined their data decision-making approaches to include new predictive analytics models to forecast trends and adapt to evolving customer behavior.
Teradata
NOVEMBER 11, 2019
An integrated data foundation allows data science models to be more accurate, actionable and engage more customers. Find out how your model can positively impact your bottom line.
Jet Global
NOVEMBER 15, 2019
Single source of truth reporting is exactly what it sounds like: reporting based on a shared repository of facts that includes all information relevant to every user. It’s the ideal approach to reporting, but it’s rarer than people realize. PeopleSoft users are an excellent example. Despite the fact that massive amounts of information lives inside this solution, PeopleSoft reporting is a cumbersome process, mostly because the data are poorly integrated.
KDnuggets
NOVEMBER 14, 2019
Producing accessible data visualizations is a key data science skill. The following guidelines will help you create the best representations of your data using R and Python's Pandas library.
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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