TDAN
DECEMBER 17, 2019
Data is commonly referred to as the new oil, a resource so immensely powerful that its true potential is yet to be discovered. We haven’t achieved enough with data research and other statistical modeling techniques to be able to see data for what it truly is and even our methods of accruing data are rudimentary […].
ScienceSoft
DECEMBER 16, 2019
Explore 5 important benefits of a BI solution and see how a company can make good use of them.
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Analytics Vidhya
DECEMBER 15, 2019
Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing. The post An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP appeared first on Analytics Vidhya.
O'Reilly on Data
DECEMBER 18, 2019
Roger Magoulas recently sat down with Rob Thomas and Tim O’Reilly to discuss Thomas’s AI framework called the AI Ladder, which, according to his recent paper , is a framework that describes “the increasing levels of analytic sophistication that lead to, and buttress, a thriving AI environment.” Thomas notes both in his paper and in a recent keynote discussion he had with O’Reilly that “there is no AI without IA [information architecture].
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr
KDnuggets
DECEMBER 19, 2019
The third part in a series on leveraging techniques to take a look inside the black box of AI, this guide considers methods that try to explain each prediction instead of establishing a global explanation.
IBM Big Data Hub
DECEMBER 18, 2019
The expectation to achieve faster results continues to rise. Businesses everywhere are looking for ways to improve their operational efficiency and effectiveness to enable the best decision-making. The need to optimize typically comes to a head with the reality that there are many silos within any company.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
FineReport
DECEMBER 16, 2019
Di era ledakan informasi ini, semakin banyak data yang perlu dikelola. Namun demikian, data padat ini seringkali tidak fokus dan tidak mudah dibaca. Sehingga kita membutuhkan visualisasi data untuk membuat data lebih mudah dipahami dan diterima. Sebaliknya, visualisasi lebih bersifat intuitif dan penuh makna, dan sangatlah penting untuk menggunakan grafik yang tepat untuk memvisualisasi suatu data.
KDnuggets
DECEMBER 18, 2019
Ready to try to get hired as a data scientist for the first time? Avoiding these common mistakes won’t guarantee an offer, but not avoiding them is a sure fire way for your application to be tossed into the trash bin.
Jet Global
DECEMBER 17, 2019
SAP is one of the world’s largest tech companies, but that doesn’t mean it excels in all areas. Take SAP reporting as an example. The tools that come built into the ERP make reporting possible, but they miss the mark when it comes to finance. Some of the most common complaints relate to the fact that the SAP financial reporting process is confusing and cumbersome, often requiring help from the IT team.
Analytics Vidhya
DECEMBER 17, 2019
Introduction High-quality machine learning and deep learning content – that’s the piece de resistance our community loves. That’s the peg we hang our hat. The post 20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019 appeared first on Analytics Vidhya.
Speaker: Jason Tanner
While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.
FineReport
DECEMBER 17, 2019
In this article, I review some of the top free and open source reporting tools. These reporting tools have many advantages: low cost, meeting basic reporting needs, having a dedicated discussion board to solve user problems… 1.FineReport. FineReport is a reporting tool that is free for personal use, without time and function limits. From FineReport.
KDnuggets
DECEMBER 20, 2019
Google has started offering a new service for “explainable AI” or XAI, as it is fashionably called. Presently offered tools are modest, but the intent is in the right direction.
Smart Data Collective
DECEMBER 14, 2019
Predictive analytics is one of the biggest disruptive technologies shaping the eCommerce industry. IQLECT published an article on this last year titled The Importance of Predictive Analytics for E-commerce Stores. The article pointed out that companies have lagged implementing predictive analytics technology, due to cost and complexity concerns. However, this has changed as new AI technology has become more widely available.
Analytics Vidhya
DECEMBER 16, 2019
Introduction NeurIPS is THE premier machine learning conference in the world. No other research conference attracts a crowd of 6000+ people in one place. The post Decoding the Best Machine Learning Papers from NeurIPS 2019 appeared first on Analytics Vidhya.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
FineReport
DECEMBER 19, 2019
For super rookies, the first task is to understand what data analysis is. Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. From Google. There are two points here. One is how to gain insights from the data. Data is cold and can’t speak. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen.
KDnuggets
DECEMBER 16, 2019
Once you have deployed your machine learning model into production, differences in real-world data will result in model drift. So, retraining and redeploying will likely be required. In other words, deployment should be treated as a continuous process. This guide defines model drift and how to identify it, and includes approaches to enable model training.
IBM Big Data Hub
DECEMBER 18, 2019
DataOps is the orchestration of people, process, and technology to accelerate the quick delivery of high-quality data to data citizens. When done right, DataOps creates business value because users know what data they have, can trust the quality and its meaning, and use it without violating compliance or privacy laws.
Juice Analytics
DECEMBER 20, 2019
Juice wouldn’t be the successful company that it is today without our friends who have championed our mission and expanded our network. We have identified several of Juice’s closest friends and advocates and we want to introduce them to you! Meet Jessica Walker, the CEO of Care Sherpa! For over 14 years, Jessica has been consulting with health care organizations and providers to support patient and employee engagement strategies with demonstrated financial and quality improvement impact.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
FineReport
DECEMBER 17, 2019
Microsoft Excel adalah perangkat lunak perkantoran yang paling populer. Banyak perusahaan menggunakannya setiap hari untuk menangani data. Tetapi orang-orang yang sering berurusan dengan laporan tahu bahwa sangat sulit untuk menggunakan Excel sebagai alat pelaporan. Untungnya, dengan munculnya alat pelaporan excel, Anda tidak perlu menghabiskan waktu berjam-jam untuk belajar bagaimana membuat alat pelaporan interaktif di Excel.
KDnuggets
DECEMBER 19, 2019
Over the years new alternative providers have risen to provided a solitary data science environment hosted on the cloud for data scientist to analyze, host and share their work.
IBM Big Data Hub
DECEMBER 18, 2019
Imagine a day in the life of Sarah, a hypothetical Chief Data Officer at a major bank in South Africa. There are many expectations on her shoulders. She struggles to deliver business-ready data to fuel her organization and support the decision makers within the bank. It is her job to put in place a team that will make sense of the myriad of data sources and different representations of data, multiple formats and technologies used to store and move that data.
Data Science 101
DECEMBER 18, 2019
Following the creation and massive popularity of the internet and all things digital, it became clear to many that data was soon to be the way of the future. Historically, our use of data could provide us with information that would influence decisions but required extensive work to collect, track, and interpret. With the introduction to modern digital data during the 21st century, the power of our computers and technology has broadened the accessibility of data collection, tracking, and interpr
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Andrew White
DECEMBER 19, 2019
The year is almost up and though there is only a couple of weeks left, the enthusiasm that drives folks to gartner.com and access our research is slowing down. I can’t think why! Maybe it’s something to do with the holidays? Well, it’s time to give you a summary of the years’ most popular research in data and analytics. I exclude our branded notes as they are always very popular.
KDnuggets
DECEMBER 18, 2019
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about Automatic Text Summarization and the various ways it is used.
erwin
DECEMBER 19, 2019
Data has been the driving force of the decade. Digital pioneers like Amazon, Netflix and Uber account for some of the most extreme market disruption their respective industries have faced. But such success cannot be attributed soley to head-starts. Many organizations have tried and failed to become truly “data-driven,” and many organizations will continue to do so.
Data Science 101
DECEMBER 20, 2019
The year is coming to an end. The Christmas/Hanukkah/New Years/Holiday season is upon us. Thus, the announcements are pretty slow and will probably continue for the next couple weeks. However, there are still a few cloud data science announcements to highlight. News. Microsoft SandDance v2 This is a very neat tool for visualizing and exploring your data.
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
IBM Big Data Hub
DECEMBER 18, 2019
Most businesses collect data but are unable to use it to generate business value or deliver insights in a timely fashion. Data volume and data types continue to grow, as do the different types of data citizens—ranging from business users to data scientists. As a result, data management and delivery often become critical bottlenecks. Enter DataOps.
KDnuggets
DECEMBER 18, 2019
This post is about working with a mixture of color and grayscale images and needing to transform them into a uniform format - all grayscale. We'll be working in Python using the Pillow, Numpy, and Matplotlib packages.
Insight
DECEMBER 19, 2019
Understanding the Bias-Variance tradeoff at three different levels: simple, intermediate and advanced. In this post, we explain the bias-variance tradeoff in machine learning at three different levels: simple, intermediate and advanced. We will follow up with some illustrative examples and discuss some practical implications in the end. If you can’t explain it simply, you don’t understand it well enough.?
Data Science 101
DECEMBER 16, 2019
Wow, the last two weeks were taken over by the flurry of announcements from Amazon. Even though Amazon is taking a break from announcements (probably focusing on Christmas shoppers), there are still some updates in the cloud data science world. Here they are. News. Google AutoML for Natural Language goes GA Extracting meaning from text is still a challenging and important task faced by many organizations.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
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