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Scaling AI/ML Success: Key Components of a Future-Proof Platform

Dataiku

Not long ago, just having a data science team allowed executives to say they were "doing AI," but that has changed. In the past few years, companies across industries have used machine learning (ML) and AI technologies to streamline processes and improve experiences leading to increased revenues at lower costs.

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How to Future-Proof Your Technology With No-Code/Low-Code Solutions

CIO Business Intelligence

When it comes to technology, among the biggest concerns companies face is the rigidity and inflexibility of legacy platforms. These platforms make it difficult for business and IT leaders facing ever-evolving business needs to seamlessly implement a change. The change ends up being a major drain on the enterprise’s finite resources.

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Why CIOs back API governance to avoid tech sprawl

CIO Business Intelligence

Carter Busse, CIO of no-code enabled automation platform company Workato, adds that APIs are now important connective tissue to integrate and interact with large language models (LLMs) within business processes. Digital transformation and growing reliance on third-party services are key contributors as well, she adds.

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Modernize your ETL platform with AWS Glue Studio: A case study from BMS

AWS Big Data

In collaboration with AWS, BMS identified a business need to migrate and modernize their custom extract, transform, and load (ETL) platform to a native AWS solution to reduce complexities, resources, and investment to upgrade when new Spark, Python, or AWS Glue versions are released.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

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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Cloudera Data Engineering 2021 Year End Review

Cloudera

We wanted to develop a service tailored to the data engineering practitioner built on top of a true enterprise hybrid data service platform. A key tenant of CDE is modularity and portability, that’s why we focused on delivering a fully managed production ready Spark-on-Kubernetes service. New in 2021. Autoscaling speed and scale.

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Financial IT leaders prep for a quantum-fueled future

CIO Business Intelligence

The premise is that even if a few individual components underperform, the rest buoy the net result, delivering a fairly predictable return over a fixed amount of time. The premise is that even if a few individual components underperform, the rest buoy the net result, delivering a fairly predictable return over a fixed amount of time.

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