datapine
DECEMBER 4, 2019
Business intelligence has undergone many changes in the last decade. Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward. That’s why we have prepared a list of the most prominent business intelligence buzzwords that will dominate in 2020. Without further ado, let’s get started. Exclusive Bonus Content: Get Our 2020 BI Buzzwords Handbook!
Analytics Vidhya
DECEMBER 29, 2019
Introduction The stock of a data scientist is at an all-time high right now. There aren’t too many professions out there that can rival. The post 5 Key Reasons Why Data Scientists Are Quitting their Jobs appeared first on Analytics Vidhya.
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Corinium
DECEMBER 12, 2019
“There’s no gender bias in our process for extending credit,” Goldman Sachs CEO David Solomon insisted in a recent TV interview. “We don’t ask, when someone applies, if they’re a man of a woman.”.
MLWhiz
DECEMBER 24, 2019
Creating a great machine learning system is an art. There are a lot of things to consider while building a great machine learning system. But often it happens that we as data scientists only worry about certain parts of the project. But do we ever think about how we will deploy our models once we have them? I have seen a lot of ML projects, and a lot of them are doomed to fail as they don’t have a set plan for production from the onset.
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TDAN
DECEMBER 31, 2019
Organizations that have implemented Data Governance programs, or Information Governance, Data/Information Management or Records Management programs will be the first to tell you that these data disciplines are not easy to operationalize. Data Management requires that the organization care for data as an asset. Managing data as an asset sounds pretty complicated.
TDAN
DECEMBER 31, 2019
The Nonverbal Dilemma Nonverbal communication is composed of body gestures and vocal inflections. The words you speak are a small fraction of communication. In a 1971 book titled, “Silent Messages,” by Albert Mehrabian, the combination of non-verbal and spoken words is referred to as the 7%-38%-55% rule (source). Think of it this way. When you […].
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Analytics Vidhya
DECEMBER 26, 2019
Introduction “Ripley’s Believe or Not” features some of the weirdest and most bizarre facts from around the world. How about creating our own Ripley’s. The post 5 Weird and Hilarious Uses of Data Science appeared first on Analytics Vidhya.
Corinium
DECEMBER 9, 2019
AI is now well into its ‘early adoption’ phase, with businesses throughout the Middle East and Africa clamoring to launch new initiatives.
datapine
DECEMBER 11, 2019
“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. SaaS is taking over the cloud computing market. Gartner predicts that the service-based cloud application industry will be worth $143.7 billion by 2022—a level of growth that will shape SaaS trends
O'Reilly on Data
DECEMBER 10, 2019
Roughly a year ago, we wrote “ What machine learning means for software development.” In that article, we talked about Andrej Karpathy’s concept of Software 2.0. Karpathy argues that we’re at the beginning of a profound change in the way software is developed. Up until now, we’ve built systems by carefully and painstakingly telling systems exactly what to do, instruction by instruction.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Smart Data Collective
DECEMBER 2, 2019
Data science has shifted the existing ether bringing in new marvelous opportunities to many industries. In line with these immense possibilities, comes rapid changes and challenges. And in this case, the travel and tourism industry is no exception here. Travel industry may not be the first to inculcate emerging technology for its benefit, but it sure is benefiting from it now.
KDnuggets
DECEMBER 26, 2019
Getting ready to leap into the world of Data Science? Consider these top machine learning courses curated by experts to help you learn and thrive in this exciting field.
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.
Corinium
DECEMBER 10, 2019
Navigating A Digital World.
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
datapine
DECEMBER 17, 2019
As in many other industries, the information technology sector faces the age-old issue of producing IT reports that boost success by helping to maximize value from a tidal wave of digital data. While integral to organizational success and development, without the ability to gain actionable insights from your most important data, IT reporting could be considered somewhat of a fruitless exercise.
O'Reilly on Data
DECEMBER 12, 2019
For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Without being able to troubleshoot models when they underperform or misbehave, organizations simply won’t be able to adopt and deploy ML at scale.
erwin
DECEMBER 6, 2019
In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Today, data governance needs to be a ubiquitous part of your organization’s culture. As the CIO, your stakeholders include both IT and business users in collaborative relationships, which means data governance is not only your business, it’s everyone’s business.
KDnuggets
DECEMBER 26, 2019
Let us see how random forest competes with neural networks for solving a real world business problem.
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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
Analytics Vidhya
DECEMBER 1, 2019
Overview Here are 6 challenging open-source data science projects to level up your data scientist skillset There are some intriguing data science projects, including. The post 6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist appeared first on Analytics Vidhya.
Corinium
DECEMBER 2, 2019
The proper powers and responsibilities for a CDAO to wield have been a topic of debate in the business world for some years now. However, it has become clear that having someone who is responsible for maximizing the value of a company’s data asset is essential for businesses operating in the digital age.
Data Science 101
DECEMBER 14, 2019
The fine folks at Microsoft have put together an excellent Single Page Cheatsheet for Azure Machine Learning Algorithms. It is very helpful for Azure, but it is also helpful for understanding when and why to use a particular algorithm. Microsoft’s Azure Machine Learning Algorithm Cheat Sheet. Start in the large blue box, “What do you want to do?
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].
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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.
DataRobot
DECEMBER 26, 2019
I read most of my news online, and I'm not alone. According to a. Pew Research Center survey , a third of people prefer to get their news online. For some demographics the percentage is even higher. For example, 76% of people aged 18 to 49 who prefer to read the news also prefer to read their news online, versus only 8% via printed newspapers. The percentage of people reading news online is probably even higher due to social media, with. 68% of U.S. adults using Facebook, most of them daily.
KDnuggets
DECEMBER 3, 2019
What follows is a set of broad recommendations, and it will inevitably require a lot of adjustments in each implementation. Given that caveat, here are our curriculum recommendations.
Analytics Vidhya
DECEMBER 10, 2019
Overview The rise of artificial intelligence (AI) has disrupted many industries in recent years One of the most impacted industries – retail! Retail operations. The post 10 Exciting Real-World Applications of AI in Retail appeared first on Analytics Vidhya.
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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?
Data Science 101
DECEMBER 12, 2019
It is Computer Science Education Week and in 2019 Machine Learning and Artificial Intelligence are two of the most popular and influential topics in technology. That is why I was so excited when Code.org launched a training specifically aimed at the topics. It is called AI for Oceans and it is geared for children (or really anyone, I had fun with it and so did my children).
O'Reilly on Data
DECEMBER 9, 2019
Three reasons why confidence intervals should not be used in financial data analyses. Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment.
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.
KDnuggets
DECEMBER 24, 2019
This article is about Market Basket Analysis & the Apriori algorithm that works behind it.
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