Sat.Dec 14, 2024 - Fri.Dec 20, 2024

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GenAI Ops Roadmap: Your Path to Master LLMOps and AgentOps

Analytics Vidhya

To truly become an expert in GenAI Ops, the key is not just knowing what to learn, but how to learn it and apply it effectively. The journey begins with gaining a broad understanding of foundational concepts such as prompt engineering, Retrieval-Augmented Generation (RAG), and AI agents. However, your focus should gradually shift to mastering […] The post GenAI Ops Roadmap: Your Path to Master LLMOps and AgentOps appeared first on Analytics Vidhya.

Analytics 270
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What Data-Driven Businesses Must Do Recover Data

Smart Data Collective

Data-driven businesses need to make hard drive data recovery options part of their data loss strategy.

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6 Ways to Improve Your Predictive Models in Data Science

KDnuggets

Whether you aim for building the perfect image classifier, sales predictor, or price estimator, these six pracitcal tips and insights will help you get there!

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Summarizing Books as Podcasts

O'Reilly on Data

Like just about everyone, we were impressed by the ability of NotebookLM to generate podcasts: Two virtual people holding a discussion. You can give it some links, and it will generate a podcast based on the links. The podcasts were interesting and engaging. But they also had some limitations. The problem with NotebookLM is that, while you can give it a prompt, it largely does what its going to do.

Software 195
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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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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?

Analytics 268
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How will AI agents be priced? CIOs need to pay attention

CIO Business Intelligence

Agentic AI, the more focused alternative to general-purpose generative AI, is gaining momentum in the enterprise, with Forrester having named it a top emerging technology for 2025 in June. Since then, several organizations have begun using the technology , and major vendors such as Salesforce and ServiceNow have offered AI agents to customers. Agentic AI focuses on performing specific tasks and emphasizes operational decision-making instead of the content generation often associated with gen AI

More Trending

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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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Level-up your AI Development with OpenAI o1

Analytics Vidhya

Imagine having an AI tool that not only understands your complex queries but also reasons through them like a seasoned expert. OpenAI o1 is here to revolutionize how developers interact with AI, offering unparalleled reasoning capabilities, real-time audio integration, and enhanced customization options. With features like a massive 200K-token context window and developer-friendly SDKs, o1 […] The post Level-up your AI Development with OpenAI o1 appeared first on Analytics Vidhya.

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United Airlines sets its flight plan for gen AI success

CIO Business Intelligence

CIO Jason Birnbaum has ambitious plans for generative AI at United Airlines. With the core architectural backbone of the airlines gen AI roadmap in place, including United Data Hub and an AI and ML platform dubbed Mars, Birnbaum has released a handful of models into production use for employees and customers alike. Chief among these is United ChatGPT for secure employee experimental use and an external-facing LLM that better informs customers about flight delays, known as Every Flight Has a Stor

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How to Use Docker for Local Development Environments

KDnuggets

Using Docker for local development brings stability, flexibility, and ease of management of the environment. No matter what operating system you're using. Learn how to use Docker on Windows, Linux, and macOS to simplify your development setup, from creating your first container to managing complex environments with Docker Compose.

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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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Summary of the Gartner Presentation: “How Can You Leverage Technologies to Solve Data Quality Challenges?”

DataKitchen

The Gartner presentation, How Can You Leverage Technologies to Solve Data Quality Challenges? by Melody Chien, underscores the critical role of data quality in modern business operations. High-quality data is the blood that sustains the organizational value chainimpacting everything from logistics to services, sales, and marketing. Poor data quality, on average, costs organizations $12.9 million annually , or 7% of their total revenue.

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OpenAI Swarm: A Hands-On Guide to Multi-Agent Systems

Analytics Vidhya

OpenAI Swarm – launched in 2024, is an experimental framework designed to simplify the orchestration of multi-agent systems for developers. It aims to streamline the coordination of AI agents through scalable and user-friendly mechanisms, making it easier to manage interactions within complex workflows. As an open-source project available on GitHub, Swarm offers developers the opportunity […] The post OpenAI Swarm: A Hands-On Guide to Multi-Agent Systems appeared first on Analytics V

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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations.

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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.

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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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Jumia builds a next-generation data platform with metadata-driven specification frameworks

AWS Big Data

Jumia is a technology company born in 2012, present in 14 African countries, with its main headquarters in Lagos, Nigeria. Jumia is built around a marketplace, a logistics service, and a payment service. The logistics service enables the delivery of packages through a network of local partners, and the payment service facilitates the payments of online transactions within Jumias ecosystem.

Metadata 101
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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

Modeling 271
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Is SaaS dead? Not quite, but it’s evolving rapidly

CIO Business Intelligence

While technology trends come and go, the SaaS industry has been a core buyer priority and industry growth engine for 25+ years. But with recent financial market turbulence, the rise of AI, and buyer consolidation impacting todays market, some have started asking: Is SaaS dead? Although some of this questioning is undoubtedly tongue-in-cheek, its also clear that even if SaaS isnt dead, it IS undergoing a significant transformation.

ROI 116
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15 Useful Python One-Liners for String Manipulation

KDnuggets

In this article, we'll explore 15 Python one-liners that make string manipulation not just efficient but also fun.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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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.

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Phi-4: Redefining Language Models with Synthetic Data

Analytics Vidhya

The landscape of AI is evolving rapidly, and language models, particularly those designed for reasoning and problem-solving tasks, are at the heart of this revolution. One such breakthrough in AI is Phi-4, a 14-billion parameter model developed by Microsoft Research. What sets Phi-4 apart from its predecessors and other models is its innovative approach to […] The post Phi-4: Redefining Language Models with Synthetic Data appeared first on Analytics Vidhya.

Modeling 208
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Accelerating AI for financial services: Innovation at scale with NVIDIA and Microsoft

CIO Business Intelligence

Always on the cusp of technology innovation, the financial services industry (FSI) is once again poised for wholesale transformation, this time with Generative AI. Yet the complexity of whats required highlights the need for partnerships and platforms calibrated to fast-track solutions at scale to capitalize on AI-era change. Financial institutions have an unprecedented opportunity to leverage AI/GenAI to expand services, drive massive productivity gains, mitigate risks, and reduce costs.

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10 Essential Pandas Commands for Data Preprocessing

KDnuggets

Check out this beginner's guide to cleaning and preparing data efficiently with Python.

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Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

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Version Control in Agile for AI Development Teams

Smart Data Collective

Agile development is becoming more useful for AI software development teams.

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Guide to Securing API Keys in Google Colab

Analytics Vidhya

Working with APIs in Google Colab is a common practice for data scientists, researchers, and developers. However, handling API keys, which are essentially passwords granting access to these services, requires careful consideration. Directly embedding API keys in your code or storing them as plain environment variables within your Colab notebooks poses significant security risks.

Risk 207
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Avnet CIO: Navigating the cloud and AI landscape with a practical approach

CIO Business Intelligence

As CIO of Avnet one of the largest technology distributors and supply chain solution providers Im responsible for the organizations IT stack and oversee digital transformation and strategy. Two critical areas that underpin our digital approach are cloud and artificial intelligence (AI). Cloud and the importance of cost management Early in our cloud journey, we learned that costs skyrocket without proper FinOps capabilities and overall governance.

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How to Write Clean Python Code as a Beginner

KDnuggets

Writing Python code thats clean and easy to understand isnt just for experts — learn how to avoid common pitfalls and write like a pro from the start!

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Accelerate queries on Apache Iceberg tables through AWS Glue auto compaction

AWS Big Data

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases. Over time, as organizations began to explore broader applications, data lakes have become essential for various data-driven processes beyond just reporting and analytics. Today, they play a critical role in syncing with customer applications, enabling the ability to manage concurrent data operations while maintaining the integ

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TensorFlow Lite vs PyTorch Mobile for On-Device Machine Learning

Analytics Vidhya

In the recent world of technology development and machine learning its no longer confined in the micro cloud but in mobile devices. As we know, TensorFlow Lite and PyTorch Mobile are two of the most commercially available tools for deploying models directly on phones and tablets. TensorFlow Lite and PyTorch mobile, both, are developed to […] The post TensorFlow Lite vs PyTorch Mobile for On-Device Machine Learning appeared first on Analytics Vidhya.

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Sweat the small stuff: Data protection in the age of AI

CIO Business Intelligence

As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. While NIST released NIST-AI- 600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile on July 26, 2024, most organizations are just beginning to digest and implement its guidance, with the formation of internal AI Councils as a first step in AI governance.So as AI adoption and risk increases, its time to understand why sweating the small and no

Risk 105
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Multimodal RAG Implementation with Hugging Face

KDnuggets

Learn how to enhance RAG models by combining text and visual inputs using Hugging Face Transformers.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.