Mon.Dec 16, 2024

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Top 10 Data & AI Trends for 2025

Towards Data Science

Agentic AI, small data, and the search for value in the age of the unstructured datastack. Image credit: MonteCarlo According to industry experts, 2024 was destined to be a banner year for generative AI. Operational use cases were rising to the surface, technology was reducing barriers to entry, and general artificial intelligence was obviously right around thecorner.

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Redefining AIOps IT Workflows with Legacy System Visibility

Precisely

Key Takeaways: Centralized visibility of data is key. Modern IT environments require comprehensive data for successful AIOps, that includes incorporating data from legacy systems like IBM i and IBM Z into ITOps platforms. Predictive of AIOps capabilities will revolutionize IT operations. The shift from reactive to proactive IT operations is driven by AI-powered analysis, automation and insights.

Systems 59
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An Introduction to Dask: The Python Data Scientist’s Power Tool

KDnuggets

Ever wondered how to handle large data without slowing down your computer? Lets learn about Dask, a tool that helps you work with large data quickly.

Python 120
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Databricks Ventures Invests in Twelve Labs to Bring Video Intelligence to the Data Intelligence Platform

databricks

While nearly 80% of the worlds data is in video format, enabling search and understanding on video data has historically been a challenging.

Data 94
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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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CData recognized in the 2024 Gartner® Magic Quadrant™ for Data Integration Tools

KDnuggets

Get the Full 2024 Gartner Magic Quadrant Data Integration Report.

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The State of Data Engineering in 2024: Key Insights and Trends

Data Engineering Weekly

As we reflect on 2024, the data engineering landscape has undergone significant transformations driven by technological advancements, changing business needs, and the meteoric rise of artificial intelligence. This comprehensive analysis examines the key trends and patterns that shaped data engineering practices throughout the year. The GenAI Revolution in Data Engineering Integrating Generative AI (GenAI) and Large Language Models (LLMs) into data platforms emerged as the most transformative tre

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Spatial Analyst 2024: Year In Review

ArcGIS

Spatial Analyst capabilities across ArcGIS have been enhanced in 2024 with new tools and optimized experiences.

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Learn to Code with GitHub

KDnuggets

Improve your coding skills with GitHub, a platform that offers free tutorials, code examples, roadmaps, projects, and comprehensive guides.

Coding 105
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Choosing the right Databricks cluster: Spot instances vs. on-demand clusters, All-Purpose Compute vs. Jobs Compute

Sync Computing

According to Wavestone’s 2024 Data and AI Leadership Executive Survey , about 82.2% of data and AI leaders report that their organizations are increasing investments in data and analytics. As companies increasingly rely on big data, the significance of efficient data processing solutions and optimal configuration of clusters become even more crucial.

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Introducing Confluent’s JavaScript Client for Apache Kafka®

Confluent

Announcing Confluents JavaScript Client for Apache Kafka (CJSK), an officially maintained and easy-to-use client based on librdkafka, and kept up to date with Apache Kafka features.

Kafka 52
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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The Baseline Team and Forward-Deployed Infrastructure Engineering at Palantir

Palantir

Inside Look: The Baseline Team and Forward-Deployed Infrastructure Engineering atPalantir At Palantir, our customers rely on our applications operating seamlessly across a variety of cloud providers, on-premises hardware, and both commercial and government networks. They need our platforms to function reliably in these diverse environments. This is where we, the Forward Deployed Infrastructure Engineering teamknown as the Baseline teamstep in.

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Cloudera’s Take: What’s in Store for Data and AI in 2025

Cloudera

In the last year, weve seen the explosion of AI in the enterprise, leaving organizations to consider the infrastructure and processes for AI to successfullyand securelydeploy across an organization. As we head into 2025, its clear that next year will be just as exciting as past years. Here, Cloudera experts share their insights on what to expect in data and AI for the enterprise in 2025.