Sat.Aug 17, 2024 - Fri.Aug 23, 2024

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Is Hallucination in Large Language Models (LLMs) Inevitable?

Analytics Vidhya

Introduction You’ve probably interacted with AI models like ChatGPT, Claude, and Gemini for various tasks – answering questions, generating creative content, or assisting with research. But did you know these are examples of large language models (LLMs)? These powerful AI systems are trained on enormous text datasets, enabling them to understand and produce text that […] The post Is Hallucination in Large Language Models (LLMs) Inevitable?

Modeling 316
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74% of IT pros see AI making their skills obsolete

CIO Business Intelligence

AI’s long-term impact on the job market has sparked controversy and conversation — especially in tech. Whether AI is set to replace workers, augment jobs, or shift the necessary skillsets entirely , organizations — and IT pros alike — need to be prepared for an impending shift in how IT roles will be defined in the AI era and what skills will be needed going forward.

IT 145
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Data Quality Circles: The Key to Elevating Data and Analytics Team Performance

DataKitchen

Data Quality Circles: The Key to Elevating Data and Analytics Team Performance Introduction: The Pursuit of Quality in Data and Analytic Teams. According to a study by HFS Research, 75 percent of business executives do not have a high level of trust in their data. High-quality data underpins the reliability of insights, models’ accuracy, and decision-making processes’ efficacy.

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Giving up on the minimum viable data stack

Data Science and Beyond

Exploring why universal advice on startup data stacks is challenging, and the importance of context-specific decisions in data infrastructure.

40
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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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Synergy: Data Security Posture Management and Data Security Governance

TDAN

Several years ago, while working for a firm developing groundbreaking software, I proposed to my boss that we were, in fact, creating an entirely new market class of software. My boss quickly dismissed this notion, stating that software firms don’t create market categories — analyst firms do.

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Unlock scalable analytics with a secure connectivity pattern in AWS Glue to read from or write to Snowflake

AWS Big Data

In today’s data-driven world, the ability to seamlessly integrate and utilize diverse data sources is critical for gaining actionable insights and driving innovation. As organizations increasingly rely on data stored across various platforms, such as Snowflake , Amazon Simple Storage Service (Amazon S3), and various software as a service (SaaS) applications, the challenge of bringing these disparate data sources together has never been more pressing.

Analytics 100

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AI Challenges and How Cloudera Can Help

Cloudera

By now, every organization, regardless of industry, has at least explored the use of AI, if not already embraced it. In today’s market, the AI imperative is firmly here, and failing to act quickly could mean getting left behind. But even as adoption soars, struggles remain, and scalability continues to be a major issue. Organizations are quick to adopt AI, but getting it established across the organization brings a unique set of challenges that come into play.

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Debating the Future of AI With TitanML and Dataiku

Dataiku

The dynamic nature of AI has only amplified with the rise of GenAI , making its future all the more intriguing. During our 2024 Everyday AI Summits in Chicago, San Francisco, and New York, Ren Lee , SVP of Marketing at Dataiku, hosted a panel to analyze the potential future directions of AI in the enterprise. Attendees heard expert insights from Meryem Arik , CEO and Co-Founder at TitanML , Jed Dougherty , VP, Platform Strategy at Dataiku, and Florian Douetteau , CEO and Co-Founder at Dataiku.

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How AI and workflow expand the boundaries of digital business partnering and finance team value creation

Jedox

Effective communication and collaboration are no longer just nice-to-have — they are essential for driving success. The Office of Finance is at the heart of every organization, overseeing financial strategy, risk management, and operational efficiency. Often it is a challenge for finance teams to align with stakeholders across business units, departments, and time zones.

Finance 74
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Llama-3.1-Storm-8B: The 8B LLM Powerhouse Surpassing Meta and Hermes Across Benchmarks

Analytics Vidhya

Introduction In language models, where the quest for efficiency and precision is paramount, Llama 3.1 Storm 8B emerges as a notable achievement. This fine-tuned version of Meta’s Llama 3.1 8B Instruct represents a leap forward in enhancing conversational and function-calling capabilities within the 8B parameter model class. The journey to this advancement is rooted in […] The post Llama-3.1-Storm-8B: The 8B LLM Powerhouse Surpassing Meta and Hermes Across Benchmarks appeared first on Analy

Modeling 322
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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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Podcast: Open Source DataOps Tools on Roaring Elephant (Part 2)

DataKitchen

DataOps, the promising future that nobody seems to be able to make reality. But not for lack of trying: meet Chris Bergh, "Head Chef" at DataKitchen, joining us again to tell us how te filed evolved over the last few years. To get in.

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The end of digital transformation and the rise of business model innovation

CIO Business Intelligence

Digital transformation represented among the largest investments in technology to modernize businesses starting in the early 2000s. But the call for digital transformation really gained popularity after 2011 when Capgemini, in partnership with MIT, officially coined the term , defining it as “the use of technology to radically improve performance or the reach of businesses.

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How Kaplan, Inc. implemented modern data pipelines using Amazon MWAA and Amazon AppFlow with Amazon Redshift as a data warehouse

AWS Big Data

This post is co-written with Hemant Aggarwal and Naveen Kambhoji from Kaplan. Kaplan , Inc. provides individuals, educational institutions, and businesses with a broad array of services, supporting our students and partners to meet their diverse and evolving needs throughout their educational and professional journeys. Our Kaplan culture empowers people to achieve their goals.

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ChatGPT-4 vs. Llama 3.1 – Which Model is Better?

Analytics Vidhya

Introduction Artificial Intelligence has seen remarkable advancements in recent years, particularly in natural language processing. Among the numerous AI language models, two have garnered significant attention: ChatGPT-4 and Llama 3.1. Both are designed to understand and generate human-like text, making them valuable tools for various applications, from customer support to content creation.

Modeling 308
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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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Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 4 : Intelligent Autonomous Agents

Data Virtualization

Reading Time: 9 minutes The field of artificial intelligence (AI) is more exciting than ever. The climate is full of creativity and innovation, and we’re learning that large language models (LLMs) have capabilities we can exploit in many ways. In previous posts, I spoke. The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 4 : Intelligent Autonomous Agents appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysi

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AI agents loom large as organizations pursue generative AI value

CIO Business Intelligence

Agents come in many forms, many of which respond to prompts humans issue through text or speech. Yet as organizations figure out how generative AI fits into their plans, IT leaders would do well to pay close attention to one emerging category: multiagent systems. In such systems, multiple agents execute tasks intended to achieve an overarching goal, such as automating payroll, HR processes, and even software development, based on text, images, audio, and video from large language models (LLMs

Sales 143
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Embed Amazon OpenSearch Service dashboards in your application

AWS Big Data

Customers across diverse industries rely on Amazon OpenSearch Service for interactive log analytics, real-time application monitoring, website search, vector database, deriving meaningful insights from data, and visualizing these insights using OpenSearch Dashboards. Additionally, customers often seek out capabilities that enable effortless sharing of visual dashboards and seamless embedding of these dashboards within their applications, further enhancing user experience and streamlining workflo

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(SAMPLE) How Generative AI is Revolutionizing Software Development? 

Analytics Vidhya

(SAMPLE) How Generative AI is Revolutionizing Software Development? Introduction Welcome to the future of software development! Generative AI (GenAI) has evolved from a mere buzzword into a powerful force that is fundamentally changing how we create software. No longer limited to theoretical concepts, GenAI is now at the forefront of innovation, automating tasks, generating code, […] The post (SAMPLE) How Generative AI is Revolutionizing Software Development?

Software 301
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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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10 Free Resources to Learn LLMs

KDnuggets

Learn large language models with these free resources from Deeplearning.AI, Microsoft, AWS, and more.

Modeling 131
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Chinese firms bypass US export restrictions on AI chips using AWS cloud

CIO Business Intelligence

Chinese firms are circumventing US export restrictions on advanced technologies by accessing them through cloud services provided by American companies like Amazon, according to a report from Reuters. Over the past two years, the US government has tightened regulations that prevent top US AI chip designers, such as Nvidia and AMD, from selling their high-performance AI chips to China, aiming to curb their military’s technological advancements.

Reporting 141
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Modernizing Finance Teams With Generative AI

Dataiku

Picture this: It’s the end of the quarter, and your finance team is racing to finalize reports, reconcile accounts, and meet compliance standards. On a normal day, these tasks might be manageable, but during financial closes, audits, or regulatory reporting periods, inefficiencies quickly become major roadblocks.

Finance 85
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Will this Google Deepmind Robot Play Table Tennis in the 2028 Olympics?

Analytics Vidhya

Introduction We have said au revoir to the Olympic Games Paris 2024, and the next will be held after 4 years, but the development by Google DeepMind may signal a new era in sports and robotics development. I recently came across a fascinating research paper (Achieving Human-Level Competitive Robot Table Tennis) by Google DeepMind that […] The post Will this Google Deepmind Robot Play Table Tennis in the 2028 Olympics?

Analytics 301
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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Reducing long-term logging expenses by 4,800% with Amazon OpenSearch Service

AWS Big Data

When you use Amazon OpenSearch Service for time-bound data like server logs, service logs, application logs, clickstreams, or event streams, storage cost is one of the primary drivers for the overall cost of your solution. Over the last year, OpenSearch Service has released features that have opened up new possibilities for storing your log data in various tiers, enabling you to trade off data latency, durability, and availability.

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What high-performance IT teams look like today — and how to build one

CIO Business Intelligence

Our mental models of what constitutes a high-performance team have evolved considerably over the past five years. Pre-pandemic, high-performance teams were co-located, multidisciplinary, self-organizing, agile, and data-driven. These teams focused on delivering reliable technology capabilities, improving end-user experiences, and establishing data and analytics capabilities.

IT 141
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Leveraging Annotation Tools for Accessible Web Design: A Guide for Inclusivity

Smart Data Collective

AI technology can do a lot to help make web design more inclusive and help people with disabilities use websites more easily.

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How Does AI Work?

Analytics Vidhya

Introduction Technology has given us a sense of imagining our world where machines can even identify our preferences and anticipate the things that we need along with analyzing past interactions to deliver better output. The future depicted in this world is not the future; it is the present, facilitated by Artificial Intelligence. From the virtual […] The post How Does AI Work?

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Enhance Customer Value: Unleash Your Data’s Potential

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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Optimize your workloads with Amazon Redshift Serverless AI-driven scaling and optimization

AWS Big Data

The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse. However, you might need to automatically scale compute resources based on factors like query complexity and data volume to meet price-performance targets, irrespective of query queuing.

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Learn from past cloud-first mistakes for better AI

CIO Business Intelligence

The cloud computing revolution brought with it many innovations, but also lessons about the pitfalls of rapidly adopting new technologies without a well-planned strategy. Today, IT leaders are at a similar crossroads with the rise of generative AI. As organizations build their AI factories today in this new era, IT leaders have an opportunity to learn from their cloud-first sins of the past and strategically build in a way that prioritizes security, governance, and cost efficiencies over the l

Strategy 138
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How to Conduct Time Series Analysis in R

KDnuggets

This article explains the basics of time series analysis. Learn to prepare your data and visualize trends in R.

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Implementing AI Agents Using LlamaIndex

Analytics Vidhya

Introduction Imagine having a personal assistant that not only understands your requests but also knows exactly how to execute them, whether it’s performing a quick calculation or fetching the latest stock market news. In this article, we delve into the fascinating world of AI agents, exploring how you can build your own using the LlamaIndex […] The post Implementing AI Agents Using LlamaIndex appeared first on Analytics Vidhya.

Marketing 288
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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.