Sat.May 18, 2024 - Fri.May 24, 2024

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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.

ROI 141
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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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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 88
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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 322
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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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The Janusian Faces of Generative AI and its Role in Enhancing and Endangering Cybersecurity

Jen Stirrup

I’m attending Commvault’s webinar tomorrow on the topic ‘‘From Threats to Resilience: Leveraging AI for Data Security’ as I am particularly interested in the topic of how generative AI will impact cybersecurity for both good and bad. Just when organisations were starting to catch up with AI… now they need to think specifically about generative AI.

IT 68
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Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 2: On-Demand Enterprise Data Querying

Data Virtualization

Reading Time: 5 minutes Generative AI has opened up new possibilities for organizations that want to be creative and fearless with their data. In my first post in this series, I introduced ways that data fabric and retrieval augmented generation (RAG) can support large. The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 2: On-Demand Enterprise Data Querying appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Anal

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Chart Snapshot: Demers Cartograms

The Data Visualisation Catalogue

Also knowns as a Levasseur Cartogram, Square Cartogram. A Demers Cartogram is a Cartogram variation where each geographical region is represented by a square, with the area of the square proportional to the data value being visualised geographically. The organisation of the squares is loosely based on the original topology to avoid any overlapping. A Demers Cartogram aims to reduce the gaps between adjacent squares compared to Dorling Cartograms (which use circles instead) — this helps to provid

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3 Ways to Monetize Your Application Data with Embedded Analytics

Jet Global

Data is one of the most valuable commodities an organization has. Every company stores and manages a substantial amount of information. But how do you gain revenue from it? Here, we discuss three ways you can monetize data with an embedded analytics investment. 1. AI Revolution: From Data Insights to Business Growth Since ChatGPT was launched in November 2022, AI has become a fact of life for global businesses.

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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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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 343
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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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Reducing CIO-CISO tension requires recognizing the signs

CIO Business Intelligence

CIOs and CISOs operate in high-stress environments that can at times place additional strain on their relationship, further distracting them from achieving beneficial outcomes. In my own career, I’ve been a CIO and a CISO, so I have firsthand experience with this issue from both perspectives. Defusing the situation so that the relationship is workable, healthy, and respectful for both parties can be challenging, especially for CISOs, who often reportto the CIO.

Testing 127
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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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Understanding Apache Iceberg on AWS with the new technical guide

AWS Big Data

We’re excited to announce the launch of the Apache Iceberg on AWS technical guide. Whether you are new to Apache Iceberg on AWS or already running production workloads on AWS, this comprehensive technical guide offers detailed guidance on foundational concepts to advanced optimizations to build your transactional data lake with Apache Iceberg on AWS.

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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 300
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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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Possibilities at the Edge: Putting Intelligence Where your Data is

CIO Business Intelligence

The major technology trend of the past decade has been mass migration to the cloud. The economies of scale and breadth of online services have meant that organizations of all sizes have adopted cloud services for a variety of IT functions, to such an extent that modern approaches to building and running applications are now described as “cloud native.

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10 GitHub Repositories to Master Data Engineering

KDnuggets

Learn data engineering through free courses, tutorials, books, tools, guides, roadmaps, practice exercises, projects, and other resources.

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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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Microsoft Phi-3: From Language to Vision, this New AI Model is Transforming AI

Analytics Vidhya

Introduction Microsoft has pushed the boundaries with its latest AI offerings, the Phi-3 family of models. These compact yet mighty models were unveiled at the recent Microsoft Build 2024 conference and promise to deliver exceptional AI performance across diverse applications. The family includes the bite-sized Phi-3-mini, the slightly larger Phi-3-small, the midrange Phi-3-medium, and the […] The post Microsoft Phi-3: From Language to Vision, this New AI Model is Transforming AI appeared

Modeling 301
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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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AI is driving productivity and wage increases: Report

CIO Business Intelligence

Business sectors using artificial intelligence are seeing significant gains in productivity while AI skills are commanding higher wages, according to a new PwC report. Industries such as financial services, information technology, and professional services are seeing labor productivity growth nearly five times greater than industries with less AI integration, the consulting firm said in a statement.

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How to Fine-Tune BERT for Sentiment Analysis with Hugging Face Transformers

KDnuggets

Find out how to fine-tune BERT for sentiment analysis with Hugging Face Transformers. No unnecessary nonsense, just what you need.

Modeling 118
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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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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.

Analytics 292
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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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IT leaders look beyond LLMs for gen AI needs

CIO Business Intelligence

With the generative AI gold rush in full swing, some IT leaders are finding generative AI’s first-wave darlings — large language models (LLMs) — may not be up to snuff for their more promising use cases. LLMs, with their advanced ability to comprehend and generate text, have become a near stand-in for generative AI in the collective mindshare. Along with code-generating copilots and text-to-image generators, which leverage a combination of LLMs and diffusion processing, LLMs are at the core of m

IT 121
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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 102
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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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Let’s Build a Script Generator using Generative AI

Analytics Vidhya

Introduction Have you ever wondered about how the characters of your favourite web series lived after the end of the series? If yes, then this blog will assist you in building a script generator that will generate a script for a new episode. Our model will be trained on the scripts of all the episodes […] The post Let’s Build a Script Generator using Generative AI appeared first on Analytics Vidhya.

Modeling 295
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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.

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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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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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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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Mastercard AI: It Detects Compromised Cards Faster, Thwarting Criminals

Analytics Vidhya

With the implementation of advanced artificial intelligence technology, Mastercard is forever changing how it approaches preventing credit card fraud. Their goal with this unique approach is to rapidly detect which cards were compromised to prevent them from being used in criminal activities. With the help of machine learning algorithms and real-time data analysis, Mastercard’s AI […] The post Mastercard AI: It Detects Compromised Cards Faster, Thwarting Criminals appeared first on Analyti

IT 291
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.