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How to Move Generative AI Applications to Production?

Analytics Vidhya

Introduction Deploying generative AI applications, such as large language models (LLMs) like GPT-4, Claude, and Gemini, represents a monumental shift in technology, offering transformative capabilities in text and code creation. The sophisticated functions of these powerful models have the potential to revolutionise various industries, but achieving their full potential in production situations presents a challenging […] The post How to Move Generative AI Applications to Production?

Modeling 366
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Navigating the Cybersecurity Threat Landscape in the UAE: Strategies for CISOs

CIO Business Intelligence

Today’s organizations face challenges from multiple directions, including threats to the business from state-sponsored cyberattacks, geopolitical turmoil, inflation, and a shortage of security skills. For CISOs to succeed in this unprecedented security landscape, they must balance these threats with new approaches by performing continuous risk assessments, protecting digital assets, and managing the rapid pace of innovation in security technologies.

Strategy 131
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5 Free MIT Courses to Learn Math for Data Science

KDnuggets

Learning math is super important for data science. Check out these free courses from MIT to learn linear algebra, statistics, and more.

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Build Spark Structured Streaming applications with the open source connector for Amazon Kinesis Data Streams

AWS Big Data

Apache Spark is a powerful big data engine used for large-scale data analytics. Its in-memory computing makes it great for iterative algorithms and interactive queries. You can use Apache Spark to process streaming data from a variety of streaming sources, including Amazon Kinesis Data Streams for use cases like clickstream analysis, fraud detection, and more.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Enhance your data security posture with a no-code approach to application-level encryption

IBM Big Data Hub

Data is the lifeblood of every organization. As your organization’s data footprint expands across the clouds and between your own business lines to drive value, it is essential to secure data at all stages of the cloud adoption and throughout the data lifecycle. While there are different mechanisms available to encrypt data throughout its lifecycle ( in transit , at rest and in use ), application-level encryption (ALE) provides an additional layer of protection by encrypting data at its so

Risk 85
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Here’s How You Can Fine-tune Llama 2 with Unsloth  

Analytics Vidhya

Introduction Training and fine-tuning language models can be complex, especially when aiming for efficiency and effectiveness. One effective approach involves using parameter-efficient fine-tuning techniques like low-rank adaptation (LoRA) combined with instruction fine-tuning. This article outlines the key steps and considerations to fine-tune LlaMa 2 large language model using this methodology.

Modeling 325

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How to Use GPT for Generating Creative Content with Hugging Face Transformers

KDnuggets

Read this concise tutorial to find out how to use GPT to generate creative content with Hugging Face Transformers. No nonsense, just that facts.

Modeling 113
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Entity resolution and fuzzy matches in AWS Glue using the Zingg open source library

AWS Big Data

In today’s data-driven world, organizations often deal with data from multiple sources, leading to challenges in data integration and governance. AWS Glue , a serverless data integration service, simplifies the process of discovering, preparing, moving, and integrating data for analytics, machine learning (ML), and application development. One critical aspect of data governance is entity resolution, which involves linking data from different sources that represent the same entity, despite not be

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Chart Snapshot: Raisz Cartograms

The Data Visualisation Catalogue

Also knowns as a Rectangular Cartogram. A Raisz Cartogram is a Cartogram variation where each geographical region is represented by a rectangle, with the area being proportional to the data value being visualised geographically. The height and width of each rectangle in a Raisz Cartogram are adjusted to fit within the original geographical region shape as much as possible.

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Building Reliable Agent using Advanced Rag Techniques, LangGraph, and Cohere LLM

Analytics Vidhya

Introduction LLM Agents play an increasingly important role in the generative landscape as reasoning engines. But most of the agents have the shortcomings of failing or going into hallucinations. However, agents face formidable challenges within Large Language Models (LLMs), including context understanding, coherence maintenance, and dynamic adaptability.

Modeling 336
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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Driving buy-in: How CIOs get hesitant workforces to adopt AI

CIO Business Intelligence

AI technologies have advanced at a dizzying pace over the past two years, but workforces at many enterprises remain hesitant to adopt them. A common assumption is that employees are reluctant to use AI-powered tools out of fear that these solutions will out-perform their own work, and in time, make them replaceable. While job displacement is certainly a concern, the reasons for this hesitancy are much more complex.

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Quantization and LLMs: Condensing Models to Manageable Sizes

KDnuggets

High costs can make it challenging for small business deployments to train and power an advanced AI. Here is where quantization comes in handy.

Modeling 107
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Get started with AWS Glue Data Quality dynamic rules for ETL pipelines

AWS Big Data

Hundreds of thousands of organizations build data integration pipelines to extract and transform data. They establish data quality rules to ensure the extracted data is of high quality for accurate business decisions. These rules assess the data based on fixed criteria reflecting current business states. However, when the business environment changes, data properties shift, rendering these fixed criteria outdated and causing poor data quality.

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Enhancing triparty repo transactions with IBM MQ for efficiency, security and scalability

IBM Big Data Hub

The exchange of securities between parties is a critical aspect of the financial industry that demands high levels of security and efficiency. Triparty repo dealing systems, central to these exchanges, require seamless and secure communication across different platforms. The Clearing Corporation of India Limited (CCIL) recently recommended (link resides outside ibm.com) IBM® MQ as the messaging software requirement for all its members to manage the triparty repo dealing system.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.

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Python String Matching With Pregex

Analytics Vidhya

Introduction String matching in Python can be challenging, but Pregex makes it easy with its simple and efficient pattern-matching capabilities. In this article, we will explore how Pregex can help you find patterns in text effortlessly. We will cover the benefits of using Pregex, a step-by-step guide to getting started, practical examples, tips for efficient […] The post Python String Matching With Pregex appeared first on Analytics Vidhya.

Analytics 313
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Así contribuye la IA a analizar el impacto del cambio climático en las aves

CIO Business Intelligence

Un equipo de investigadores españoles conformado por ingenieros de software y científicos de datos del Centro Universitario U-tad, así como ecólogos y biólogos de la Estación Biológica de Doñana (CSIC), han desarrollado un modelo de datos pionero bautizado como BIRDeep. En concreto, el grupo científico ha impulsado un sistema de seguimiento de la abundancia de especies de aves que, con la ayuda de la inteligencia artificial (IA), podrá identificar los distintos tipos de canto y , de esta forma,

Software 112
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7 Steps to Mastering Data Cleaning with Python and Pandas

KDnuggets

Want to learn data cleaning with pandas? This tutorial will teach you everything you need to know.

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In-place version upgrades for applications on Amazon Managed Service for Apache Flink now supported

AWS Big Data

For existing users of Amazon Managed Service for Apache Flink who are excited about the recent announcement of support for Apache Flink runtime version 1.18, you can now statefully migrate your existing applications that use older versions of Apache Flink to a more recent version, including Apache Flink version 1.18. With in-place version upgrades, upgrading your application runtime version can be achieved simply, statefully, and without incurring data loss or adding additional orchestration to

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Spot the Differences: Data Governance vs. AI Governance

Dataiku

AI Governance and data governance are both crucial for modern organizations, but they serve distinct purposes. Can you tell the difference between them? Understanding these differences is vital, especially with the introduction of the EU AI Act, which requires organizations to rethink their AI management strategies. In this blog post, we’ll explore these distinctions and explain why it's important to differentiate between the two.

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Simplifying Document Parsing: Extracting Embedded Objects with LlamaParse

Analytics Vidhya

Introduction LlamaParse is a document parsing library developed by Llama Index to efficiently and effectively parse documents such as PDFs, PPTs, etc. Creating RAG applications on top of PDF documents presents a significant challenge many of us face, specifically with the complex task of parsing embedded objects such as tables, figures, etc. The nature of […] The post Simplifying Document Parsing: Extracting Embedded Objects with LlamaParse appeared first on Analytics Vidhya.

Analytics 308
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A closer look: Huawei’s Net5.5G Intelligent Cloud Network takes aim at digital productivity

CIO Business Intelligence

With the onset of emerging technologies and increasing appetite among enterprises to create intelligent digital services, the demand for more bandwidth and better network connectivity is at an all-time high. The future of digital productivity rests on evolving network capabilities which Huawei has charted a path to achieve. Earlier this year at Mobile World Congress 2024 , Leon Wang, president of Huawei’s Data Communication Product Line, launched a fresh line-up of Net5.5G-oriented products and

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Navigating Your Data Science Career: From Learning to Earning

KDnuggets

Is earning worth learning in today’s data science landscape? Short answer: yes. The long answer calls for an article.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Architectural Patterns for real-time analytics using Amazon Kinesis Data Streams, Part 2: AI Applications

AWS Big Data

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! In this fast-paced world, Kinesis Data Streams stands out as a versatile and robust solution to tackle a wide range of use cases with real-time data, from dashboarding to powering artificial intelligence (AI) applications. In this series, we streamline the process of identifying and applying the most suitable architecture for your business requirements, and help kickstart

IoT 63
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Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 3: Semantic Indexing of Enterprise Data

Data Virtualization

Reading Time: 5 minutes GenAI is driving all kinds of innovations and new ways of working, and we have discovered that large language models (LLMs) are capable of some pretty amazing feats. In my last post I discussed how they can enable users to. The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 3: Semantic Indexing of Enterprise Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Meta’s Chameleon: A New Player in the Multimodal AI Race

Analytics Vidhya

News at a Glance Meta is making strides in artificial intelligence (AI) with a new multimodal LLM named Chameleon. This model, based on early-fusion architecture, promises to integrate different types of information better than its predecessors. With this move, Meta is positioning itself as a strong contender in the AI world. Also Read: Ray-Ban Meta […] The post Meta’s Chameleon: A New Player in the Multimodal AI Race appeared first on Analytics Vidhya.

Modeling 307
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Big data, IA y automatización de procesos para retornar talento catalán expatriado

CIO Business Intelligence

La atracción y retención de talento es uno de los desafíos transversales a cualquier sector de actividad acuciado por la globalización y las nuevas formas de trabajo. Según datos del Instituto de Estadística Catalán correspondientes al 1 de enero de 2024, hay 386.486 catalanes residiendo fuera del país. De ellos, y contabilizando aquellos que se encuentran en edad laboral (entre 25 a 60 años), 93.075 son hombres y 88.375 mujeres.

Big Data 105
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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. ♻️ Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene

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Combining Data Management and Data Storytelling to Generate Value

KDnuggets

A discussion on how to revisit data management from the data storytelling perspective.

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Is AI Improving Fairness in the Lending Industry?

Smart Data Collective

Dive into the role of AI in promoting fairness within the lending sector and its transformative effects.

IT 71
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Smarten Support Portal Updates – May – 2024!

Smarten

We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials. Knowledgebase Articles General : Global Variable : Calculating Profit/Loss Variance based on What-if Analysis Embedded / API Integration : API Call to rebuild cubes / datasets Installation : Bypassing Smarten executable files from Antivirus Scan Predictive Use cases Assisted predictive modelling :

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Building a Product Discovery API with Gemini Vision Pro, LlamaIndex & FastAPI

Analytics Vidhya

Introduction The rapid expansion of the Generative AI model capabilities enables us to develop many businesses around GenAI. Today’s model not only generates text data but also, with the powerful multi-modal model like GPT-4, Gemini can leverage image data to generate information. This capability has huge potential in the business world such as you can […] The post Building a Product Discovery API with Gemini Vision Pro, LlamaIndex & FastAPI appeared first on Analytics Vidhya.

Modeling 289
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.