December, 2024

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AI data readiness: C-suite fantasy, big IT problem

CIO Business Intelligence

Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. Nearly nine in 10 business leaders say their organizations data ecosystems are ready to build and deploy AI at scale, according to a recent Capital One AI readiness survey.

IT 134
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News Classification by Fine-tuning Small Language Model

Analytics Vidhya

Small Language Models (SLMs) are compact, efficient versions of large language models (LLMs) with fewer than 10 billion parameters. They are designed to reduce computational costs, energy usage, and latency while maintaining targeted performance. SLMs are ideal for resource-constrained environments like edge computing and real-time applications. By focusing on specific tasks and utilizing smaller datasets, […] The post News Classification by Fine-tuning Small Language Model appeared first

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Transforming Task Automation: The Future of Intelligent Orchestration

David Menninger's Analyst Perspectives

The evolution from basic task automation platforms to advanced task orchestration and management marks a milestone in the journey toward Intelligent Automation. Task automation platforms initially enabled enterprises to automate repetitive tasks, freeing valuable human resources for more strategic activities. However, as the need for seamless coordination of multiple automated tasks becomes increasingly apparent, enterprises are transitioning toward orchestration approaches that enhance operatio

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Generative Logic

O'Reilly on Data

Alibabas latest model, QwQ-32B-Preview , has gained some impressive reviews for its reasoning abilities. Like OpenAIs GPT-4 o1, 1 its training has emphasized reasoning rather than just reproducing language. That seemed like something worth testing outor at least playing around withso when I heard that it very quickly became available in Ollama and wasnt too large to run on a moderately well-equipped laptop, I downloaded QwQ and tried it out.

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Going Beyond Chatbots: Connecting AI to Your Tools, Systems, & Data

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

If AI agents are going to deliver ROI, they need to move beyond chat and actually do things. But, turning a model into a reliable, secure workflow agent isn’t as simple as plugging in an API. In this new webinar, Alex Salazar and Nate Barbettini will break down the emerging AI architecture that makes action possible, and how it differs from traditional integration approaches.

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Drug Launch Case Study: Amazing Efficiency Using DataOps

DataKitchen

A Drug Launch Case Study in the Amazing Efficiency of a Data Team Using DataOps How a Small Team Powered the Multi-Billion Dollar Acquisition of a Pharma Startup When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldnt be higher. This blog dives into the remarkable journey of a data team that achieved unparalleled efficiency using DataOps principles and software that transformed their analytics and data teams into a hyper-efficient powerhouse.

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Automating Document Processing With AI

Dataiku

Organizations accumulate vast amounts of key information , much of which is locked away in documents. These documents whether they are reports, contracts, invoices, or emails are typically designed for human consumption, making them difficult to process automatically. Fortunately, Document AI , the subfield of AI focused on documents, is making rapid and significant progress.

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Top 50 Python Libraries to Know in 2025

Analytics Vidhya

Python’s versatility and readability have solidified its position as the go-to language for data science, machine learning, and AI. With a rich ecosystem of libraries, Python empowers developers to tackle complex tasks with ease. In this comprehensive guide, we’ll explore the top 50 Python libraries that will shape the future of technology.

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Amazon Q data integration adds DataFrame support and in-prompt context-aware job creation

AWS Big Data

Amazon Q data integration , introduced in January 2024, allows you to use natural language to author extract, transform, load (ETL) jobs and operations in AWS Glue specific data abstraction DynamicFrame. This post introduces exciting new capabilities for Amazon Q data integration that work together to make ETL development more efficient and intuitive.

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Introducing Accelerator for Machine Learning (ML) Projects: Summarization with Gemini from Vertex AI

Cloudera

Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . An AMP is a pre-built, high-quality minimal viable product (MVP) for Artificial Intelligence (AI) use cases that can be deployed in a single-click from Cloudera AI (CAI). AMPs are all about helping you quickly build performant AI applications.

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10 GitHub Repositories to Master Reinforcement Learning

KDnuggets

Learn reinforcement learning using free resources, including books, frameworks, courses, tutorials, example code, and projects.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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From Challenges to Triumph: WaterWipes’ Data Management Revolution with Maextro

Timo Elliott

One of the sessions I sat in at UKISUG Connect 2024 covered a real-world example of data management using a solution from Bluestonex Consulting , based on the SAP Business Technology Platform (SAP BTP). The session by Liz Cotter , Data Manager for Water Wipes, and Richard Henry , Commercial Director of BluestoneX Consulting, was called From Challenges to Triumph: WaterWipes’ Data Management Revolution with Maextro.

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12 AI predictions for 2025

CIO Business Intelligence

Generative AI has seen faster and more widespread adoption than any other technology today, with many companies already seeing ROI and scaling up use cases into wide adoption. Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either. Weve also seen the emergence of agentic AI, multi-modal AI, reasoning AI, and open-source AI projects that rival those of the biggest commercial vendors.

ROI 141
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Andrej Karpathy Praises DeepSeek V3’s Frontier LLM, Trained on a $6M Budget

Analytics Vidhya

Last year, the DeepSeek LLM made waves with its impressive 67 billion parameters, meticulously trained on an expansive dataset of 2 trillion tokens in English and Chinese comprehension. Setting new benchmarks for research collaboration, DeepSeek ingrained the AI community by open-sourcing both its 7B/67B Base and Chat models. Now, what if I tell you there […] The post Andrej Karpathy Praises DeepSeek V3s Frontier LLM, Trained on a $6M Budget appeared first on Analytics Vidhya.

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Author visual ETL flows on Amazon SageMaker Unified Studio (preview)

AWS Big Data

Amazon SageMaker Unified Studio (preview) provides an integrated data and AI development environment within Amazon SageMaker. From the Unified Studio, you can collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics. This experience includes visual ETL, a new visual interface that makes it simple for data engineers to author, run, and monitor extract, transform, load (ETL) data integration flow.

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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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The Struggle Between Data Dark Ages and LLM Accuracy

Cloudera

Artificial Intelligence promises to transform lives and business as we know it. But what does that future look like? The AI Forecast: Data and AI in the Cloud Era , sponsored by Cloudera, aims to take an objective look at the impact of AI on business, industry, and the world at large. Hosted weekly by Paul Muller, The AI Forecast speaks to experts in the space to understand the ins and outs of AI in the enterprise, the kinds of data architectures and infrastructures that support it, the guardrai

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7 Projects to Master Data Engineering

KDnuggets

Learn to build, run, and manage data engineering pipelines both locally and in the cloud using popular tools.

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I Have Microsoft, Why Do I Need Dataiku?

Dataiku

As organizations continue to navigate the complexities of data science, embracing a unified, collaborative platform like Dataiku on Azure could be the key to unlocking transformative AI capabilities. Dataiku’s end-to-end data science and AI platform, when deployed alongside Microsoft Azure solutions and products, such as Fabric and Azure Machine Learning (ML), empowers organizations of any size to deliver enterprise AI in a robust, efficient, and collaborative environment.

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How the world can tackle the power demands of artificial intelligence

CIO Business Intelligence

The world must reshape its technology infrastructure to ensure artificial intelligence makes good on its potential as a transformative moment in digital innovation. New technologies, such as generative AI, need huge amounts of processing power that will put electricity grids under tremendous stress and raise sustainability questions. But pioneering technologists are working on a potential game changer that goes some way to address these issues: photonics.

Finance 131
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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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ChatGPT Search Launched: Is This the End of Google Search?

Analytics Vidhya

OpenAI is raining Christmas presents almost everyday this December! On Day-8 of their Shipmas event, OpenAI has made ChatGPT Search available to all! This new web search feature which was rolled out to ChatGPTs paid users earlier this year, is now available to all logged-in users of ChatGPT worldwide. Not just that, ChatGPT Search is […] The post ChatGPT Search Launched: Is This the End of Google Search?

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Amazon EMR 7.5 runtime for Apache Spark and Iceberg can run Spark workloads 3.6 times faster than Spark 3.5.3 and Iceberg 1.6.1

AWS Big Data

The Amazon EMR runtime for Apache Spark offers a high-performance runtime environment while maintaining 100% API compatibility with open source Apache Spark and Apache Iceberg table format. Amazon EMR on EC2 , Amazon EMR Serverless , Amazon EMR on Amazon EKS , Amazon EMR on AWS Outposts and AWS Glue all use the optimized runtimes. In this post, we demonstrate the performance benefits of using the Amazon EMR 7.5 runtime for Spark and Iceberg compared to open source Spark 3.5.3 with Iceberg 1.6.1

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Cloudera AI Inference Service Enables Easy Integration and Deployment of GenAI Into Your Production Environments

Cloudera

Welcome to the first installment of a series of posts discussing the recently announced Cloudera AI Inference service. Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput.

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2024’s Biggest Moments in AI

KDnuggets

2024 has been yet another groundbreaking year for AI, with major breakthroughs, industry shifts, and ethical challenges shaping its future. Let's uncover together the key moments that defined AI this year about to finalize.

IT 144
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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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Why data observability is essential to AI governance

erwin

When it comes to using AI and machine learning across your organization, there are many good reasons to provide your data and analytics community with an intelligent data foundation. For instance, Large Language Models (LLMs) are known to ultimately perform better when data is structured. And being that data is fluid and constantly changing, its very easy for bias, bad data and sensitive information to creep into your AI data pipeline.

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5 tips for better business value from gen AI

CIO Business Intelligence

CIOs have been able to ride the AI hype cycle to bolster investment in their gen AI strategies, but the AI honeymoon may soon be over, as Gartner recently placed gen AI at the peak of inflated expectations , with the trough of disillusionment not far behind. That doesnt mean investments will dry up overnight. According to AI at Wartons report on navigating gen AIs early years, 72% of enterprises predict gen AI budget growth over the next 12 months but slower increases over the next two to five y

Sales 143
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KitikiPlot: Your New Go-To for Time-Series Data Visualization

Analytics Vidhya

Introducing KitikiPlot, a Python library designed for visualizing sequential and time-series categorical “Sliding Window” patterns. This innovative tool is designed to empower data practitioners across various fields, including genomics, air quality monitoring, and weather forecasting to uncover insights with enhanced clarity and precision.

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Simplify data integration with AWS Glue and zero-ETL to Amazon SageMaker Lakehouse

AWS Big Data

With the growing emphasis on data, organizations are constantly seeking more efficient and agile ways to integrate their data, especially from a wide variety of applications. While traditional extract, transform, and load (ETL) processes have long been a staple of data integration due to its flexibility, for common use cases such as replication and ingestion, they often prove time-consuming, complex, and less adaptable to the fast-changing demands of modern data architectures.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Fueling the Future of GenAI with NiFi: Cloudera DataFlow 2.9 Delivers Enhanced Efficiency and Adaptability

Cloudera

For more than a decade, Cloudera has been an ardent supporter and committee member of Apache NiFi, long recognizing its power and versatility for data ingestion, transformation, and delivery. Our customers rely on NiFi as well as the associated sub-projects (Apache MiNiFi and Registry) to connect to structured, unstructured, and multi-modal data from a variety of data sources – from edge devices to SaaS tools to server logs and change data capture streams.

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Artificial Intelligence for Noobs

KDnuggets

A beginners guide to AI and how to get started.

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Why AI is The Secret Weapon for Change Management

Timo Elliott

Timo Elliott explains why AI is a secret weapon for change management When technology projects fail, its never because of the technology.Its always people problems: unclear expectations, culture clashes, office politics, or just fear of change. Right now, organizations around the world are racing to figure out how AI can improve business processes.But theyre perhaps missing the biggest opportunity of all: using AI to tackle change management, the top barrier to success in any technology project.

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Cost, security, and flexibility: the business case for open source gen AI

CIO Business Intelligence

Travel and expense management company Emburse saw multiple opportunities where it could benefit from gen AI. It could be used to improve the experience for individual users, for example, with smarter analysis of receipts, or help corporate clients by spotting instances of fraud. Take for example the simple job of reading a receipt and accurately classifying the expenses.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m