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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?

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DEI MIA in new Meta AI advisory group

CIO Business Intelligence

The creation of a new group to advise on AI and technology product strategy by Facebook parent Meta Platforms has been criticized by an executive member of the Responsible AI Institute (RAI) for what on the surface appears to be an acute lack of diversity. “It was definitely striking, I will say,” said Alyssa Lefaivre Škopac, head of global partnerships and growth with the RAI, of a panel that is made up of four white male entrepreneurs.

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Where’s the ROI for AI? CIOs struggle to find it

CIO Business Intelligence

Finding the return on investment for AI remains elusive for many organizations, even as they rush to adopt the technology. Difficulties estimating or demonstrating the value of AI technologies to the business have been or will be a top barrier to their implementation, according to a recent Gartner survey of more than 700 IT leaders at organizations that have adopted or plan to adopt AI.

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Where to Go Next in Your Data Career

KDnuggets

We are all looking for the right opportunities in our career. In the landscape of data-related careers, the roles can be grouped into classes, and future opportunities tend to follow natural migration paths between the class groups.

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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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Introducing blueprint discovery and other UI enhancements for Amazon OpenSearch Ingestion

AWS Big Data

Amazon OpenSearch Ingestion is a fully managed serverless pipeline that allows you to ingest, filter, transform, enrich, and route data to an Amazon OpenSearch Service domain or Amazon OpenSearch Serverless collection. OpenSearch Ingestion is capable of ingesting data from a wide variety of sources and has a rich ecosystem of built-in processors to take care of your most complex data transformation needs.

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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

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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.

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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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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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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 274
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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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Harvard’s Top Free Courses for Aspiring Data Scientists

KDnuggets

Do you want to start your data science journey? If yes, then these Harvard courses might be perfect to start.

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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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Le EU Data Act – Quelles conséquences pour vous et votre entreprise ?

Martha Bennett

Le Data Act est un règlement, ce qui signifie qu'il a désormais force de loi dans tous les pays de l'UE et que des amendements spécifiques à chaque pays ne sont pas autorisés.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Call AI From Your Phone With Arc Search’s ‘Call Arc’ Feature

Analytics Vidhya

News at a Glance The Browser Company has rolled out a unique feature for its iPhone-only Arc Search app, named “Call Arc.” This novel feature lets users ask questions and receive verbal answers by holding their phone to their ear, just like a phone call. It stands out as an innovative twist on traditional voice […] The post Call AI From Your Phone With Arc Search’s ‘Call Arc’ Feature appeared first on Analytics Vidhya.

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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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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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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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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 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 266
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US lawmakers advance bill to close loopholes in AI export controls

CIO Business Intelligence

The House Foreign Affairs Committee has advanced a bill that would enhance the White House’s ability to regulate the export of AI systems, amid ongoing efforts to tighten grip on key technologies. “The US-China Economic and Security Review Commission reported last year that China is using commercial AI advancements to prepare for military conflict with Taiwan,” bill co-author and House Representative Michael McCaul said in a statement.

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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.

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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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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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Maximize Results With Code: Tips From a Data Engineer

Dataiku

Guests to the Toronto session of the 2023 Dataiku Everyday AI Conferences heard from solutions engineer Kateryna Savchyn of Dataiku , as she spoke in depth about specialized coding options available to augment existing Dataiku products and solutions.

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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 266
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Big tech companies commit to new safety practices for AI

CIO Business Intelligence

Sixteen big users and creators of artificial intelligence (AI) technology — including heavy hitters such as Microsoft, Amazon, Google, Meta, and OpenAI — have signed up to the Frontier AI Safety Commitments, a new set of safety guidelines and development outcomes for the technology. They revealed the commitments on Tuesday, as two days of talks on AI were set to begin at the AI Seoul Summit in Korea.

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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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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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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

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Embracing Automation in Dataiku With Scenarios

Dataiku

Even in 2024, many data teams still spend time on data pipeline tasks that could be automated. In fact, Accenture estimates that 76% of a U.S. worker’s tasks could be reinvented by combining new technologies and new ways of working. From rebuilding datasets from upstream data changes to retraining machine learning (ML) models when drift occurs, repetitive tasks still plague data teams.

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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.

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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.