Thu.May 23, 2024

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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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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 363
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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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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 339
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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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10 most powerful ERP vendors today

CIO Business Intelligence

Back-office ERP systems are gaining strategic importance as organizations seek to digitize and automate business processes, modernize their application stack, migrate to the cloud, and accelerate the speed of business. In its latest MarketScape on worldwide SaaS and cloud-enabled large enterprise ERP, IDC says, “The pace of innovation is increasing, and ERP vendors focused on AI, ML, natural language processing (NLP), chatbots, robotics process automation (RPA), and genAI are critical partners t

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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.

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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

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Getinge’s digital transformation shows scaling and adapting in equal measure

CIO Business Intelligence

When Getinge started 120 years ago, the main focus was agricultural machinery, but that shifted in the 1930s to medical technology, which is what the globally recognized company is known for today. More recently, products have become increasingly digital, with software that manages patient flows, tools for surgery planning, and sterile management processes that optimize inventory and ensure that surgical instruments are delivered at the right time to the right place.

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Top 5 AI Tools for Your Everyday Use

Analytics Vidhya

Introduction With so many AI tools available today, it can be hard to know which ones are worth your time. While we can’t try them all, it’s helpful to know which ones are best for everyday tasks like programming, planning, and handling long texts. Lex Fridman, a well-known AI researcher and podcaster, recently tweeted about […] The post Top 5 AI Tools for Your Everyday Use appeared first on Analytics Vidhya.

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Unlocking AI: Machine learning as a service

CIO Business Intelligence

Once upon a time, the data that most businesses had to work with was mostly structured and small in size. This meant that it was relatively easy for it to be analyzed using simple business intelligence (BI) tools. Today, this is no longer the case. Much of the data that organizations are mining is unstructured or semi-structured, and the trend is growing such that more than 80% of corporate data is expected to be unstructured by 2020 [1].

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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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Elon Musk’s Bold Prediction: Artificial Intelligence to Eradicate All Jobs in the Future

Analytics Vidhya

Tech visionary and entrepreneur extraordinaire Elon Musk has whipped up a storm again after making his latest prediction at a startup and tech event in Paris – Viva Tech Event. Speaking remotely via webcam at the Viva Tech event, Musk has also boldly claimed that Artificial Intelligence (AI) would literally “take your jobs away,” prompting […] The post Elon Musk’s Bold Prediction: Artificial Intelligence to Eradicate All Jobs in the Future appeared first on Analytics Vidhya.

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From IT leader to tech spinoff CEO: How to win a CIO-plus role

CIO Business Intelligence

Early in his career, Andrew Brock was told by a mentor that, to reach the C-suite, you have to take assignments across the various drivers of a P&L: marketing, operations, information technology, and so on. At the time, Brock had held finance-related roles of increasing responsibility at household brands such as Kraft and PepsiCo at the time, and the advice piqued in Brock a curiosity that has since marked his career.

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Khan Academy X Microsoft: Khanmigo AI For Teachers is Now 100% Free

Analytics Vidhya

AI is bridging the gap between human knowledge and human understanding. Likewise, various AI tools personalize teaching and help make learning fun for both teachers and students. After the release of GPT 4o, which features Sal Khan solving math problems, it became clear that the education sector is ready to take a giant leap in […] The post Khan Academy X Microsoft: Khanmigo AI For Teachers is Now 100% Free appeared first on Analytics Vidhya.

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Los CIO, en busca del retorno de inversión de la IA

CIO Business Intelligence

La complejidad para estimar o demostrar el valor de las tecnologías de IA para el negocio han sido o serán una de las principales barreras para su implementación , según una encuesta reciente de Gartner a más de 700 líderes de TI en organizaciones que han adoptado o planean adoptar la IA, y en la que se puso de manifiesto que casi la mitad de los entrevistados reconocieron tener dificultades al respecto.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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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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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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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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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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Learning System Design: Top 5 Essential Reads

KDnuggets

Explore system design with these expert-recommended books.

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Integrating GraphDB with Relational Database Systems

Ontotext

As you might guess from its name, GraphDB stores data in a graph data structure, which is much more flexible than the rigid table structures used by relational database managers. Relational databases have been around for a long time, though, and vast amounts of data are stored in them. Applications that can take advantage of both RDF graph data and relational data can get the best of both worlds.

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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Improving the Accuracy of LLM-Based Text-to-SQL Generation with a Semantic Layer in the Denodo Platform

Data Virtualization

Reading Time: 6 minutes One of the most common deployments of the Denodo Platform in organizations across the globe is serving as a semantic layer that simplifies data consumption to increase self-service for business users. Three core ideas, working together, enable that scenario: The. The post Improving the Accuracy of LLM-Based Text-to-SQL Generation with a Semantic Layer in the Denodo Platform appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Anal

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I Have Snowflake, Why Do I Need Dataiku?

Dataiku

In 2024, being an intuition-driven business won't suffice; becoming a data-driven organization is the only path forward. Successful companies understand that the cloud is the best option for propelling their organization forward. Snowflake is a prominent leader in cloud-based data that is drastically reducing query times from hours to seconds and making cloud data warehouses accessible to both business users and data experts.

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Building and Evaluating GenAI Knowledge Management Systems using Ollama, Trulens and Cloudera

Cloudera

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. Information is often redundant and analyzing data requires combining across multiple formats, including written documents, streamed data feeds, audio and video.

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Improve Product Stickiness and User Adoption with Embedded Analytics

Jet Global

You’ve heard of throwing ideas at a wall until something sticks–as a product manager, you may find you’re doing the same with application features. For application teams, creating sticky applications that customers can rely on and continue using for years to come is key to maximizing revenue. Elements like intuitive interfaces, personalized experiences, seamless integrations, and valuable core functionalities all contribute to this stickiness.

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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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.