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Unite.AI
NOVEMBER 28, 2023
To make sure your organization can win with AI, consider the following steps: Analyze your needs and understand what challenges you are seeking to overcome: No one rushes out to buy a new car. Despite being in its infancy, artificial intelligence (AI) is already irrevocably impacting the IT industry and the way people across teams.
Analytics Vidhya
JUNE 27, 2021
The post Style your Pandas DataFrame and Make it Stunning appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Pandas is an important data science library and everybody involved.
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AI News
AUGUST 29, 2023
But what gets buried in the small print is the acknowledgement that many data projects never make it to production. Operationalisation needs good orchestration to make it work, as Basil Faruqui, director of solutions marketing at BMC , explains. “If In 2016, Gartner assessed it at only 15%. Yet this leads into another important point.
JANUARY 5, 2024
"I've reached the limit of how silly I can make the goose using the tools available." Silliest Goose What if there was a puppy so happy that its grin …
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Follow this free guide for tips on making the build to buy transition. If you built your analytics in house, chances are your basic features are no longer enough for your end users. Is it time to move on to a more robust analytics solution with more advanced capabilities?
Analytics Vidhya
MAY 13, 2021
The post SVM: What makes it superior to the Maximal-Margin and Support Vector Classifiers? ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction This article would cover Maximal- Margin Classifier, Support Vector. appeared first on Analytics Vidhya.
OCTOBER 4, 2023
They sing, they dance, they model, but they don't exist in real life - virtual influencers are trying to break out of the metaverse and into the charts. From Alvin and The Chipmunks to Gorillaz, and Hatsune Miku to Polar, the music industry is no stranger to virtual characters as popstars. Like many …
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And as the number of vendors grows, it gets harder to make sense of it all. The business intelligence market has exploded. Don't go into the fray unarmed. This exhaustive guide with a foreword from BI analyst Jen Underwood dives deep into the BI buying process and explores how to decide what features you need.
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As the value of modern in-app analytics becomes clearer, more companies are making analytics a priority before it becomes a problem. The longer you wait to modernize your application’s analytics, the harder you’ll eventually feel the pain of lost customers and missed revenue. If it sounds like a daunting task, that's because it is.
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Learn when and why it makes sense to build, buy, or take a combined approach to embedded BI. Every time an application team gets caught up in the “build vs buy” debate, it stalls projects and delays time to revenue. There is a third option.
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Data aware: Users can combine past experiences, intuition, judgment, and qualitative inputs and data analysis to make decisions. Data fluent: Users can go beyond insights and instinct to communicate, collaborate, tell stories, and drive ideas to make decisions based on data.
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
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