Remove Business Objectives Remove Data Processing Remove Forecasting Remove Machine Learning
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The 10 Essential SaaS Trends You Should Watch Out For In 2020

datapine

As businesses continue to rely on innovative data discovery tools and technologies to increase both their productivity and their efficiency, and as new software as a service trends continue to emerge, this young, groundbreaking industry can only go from strength to strength. SaaS Industry is forecasted to reach $55 billion by 2026.

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Cloud Analytics Powered by FinOps

Cloudera

Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives. However, the reality is that the “move to cloud” is a turbulent flight for many of them. Why FinOps?

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How to choose the best AI platform

IBM Big Data Hub

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AutoML tools: Automated machine learning, or autoML, supports faster model creation with low-code and no-code functionality.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. They can help a company forecast demand, or anticipate fraud. There’s A Wealth Of Choice.

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How Encored Technologies built serverless event-driven data pipelines with AWS

AWS Big Data

Encored develops machine learning (ML) applications predicting and optimizing various energy-related processes, and their key initiative is to predict the amount of power generated at renewable energy power plants. For instructions on creating an ECR repository, refer to Creating a private repository. northeast-2.amazonaws.com

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Validating Machine Learning Models. If we have already built out a model for a business application, how do we ensure that it is working to our expectations? Conceptual Soundness of the Model.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting. With Big Data Analytics, businesses can make better and quicker decisions, model and forecast future events, and enhance their Business Intelligence.