Remove solutions business-process-modeling
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What is AWS EMR? Here’s Everything you Need to Know

Analytics Vidhya

Introduction How do you tackle the challenge of processing and analyzing vast amounts of data efficiently? This question has plagued many businesses and organizations as they navigate the complexities of big data. From log analysis to financial modeling, the need for scalable and flexible solutions has never been greater.

Big Data 284
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Deploying ML Models Using Kubernetes

Analytics Vidhya

Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer. The Model development process undergoes multiple iterations and finally, a model which has acceptable performance metrics on test data is taken to the production […].

Modeling 332
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Subscription economy defies economic headwinds, fuels recurring growth

CIO Business Intelligence

Organizations with subscription-based business models have not only survived the recent global economic challenges but have also outperformed their traditional, product-based counterparts, according to The Subscription Economy Index (SEI) report for 2023 by Zuora. against the latter’s 4.8%.

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Power analytics as a service capabilities using Amazon Redshift

AWS Big Data

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. The following diagram illustrates the two delivery models.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

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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Re-imagining Business Workflows with AI-Powered Automation

CIO Business Intelligence

Artificial intelligence (AI) is delivering rapid change for Australian business by raising customers’ expectations, generating new competitive challenges, and creating opportunities for new products and services. The integration of AI into Tungsten Automation’s service offering is organised around three key pillars.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

By no means a quick and easy transformation, it requires addressing two sides of the equation at once: the demand side in how IT manages technology requests and the supply side in how technology requirements are vetted and reviewed against appropriate solutions.

IT 136
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Humility in AI: Building Trustworthy and Ethical AI Systems

More and more critical decisions are automated through machine learning models, determining the future of a business or making life-altering decisions for real people. AI should know when it is not sure about the right answer to transfer the critical decision-making process back to people. AI is becoming ubiquitous.