Sat.Oct 05, 2024 - Fri.Oct 11, 2024

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Read White Paper: Data Quality The DataOps Way

DataKitchen

Read Our New White Paper: Data Quality The DataOps Way Data quality isn’t just a technical hurdle—it’s a strategic necessity in the data-driven world. Traditional methods fall short, but the DataOps approach to data quality offers a transformative path forward. It empowers individuals to act swiftly, enables continuous improvement, and fosters collaboration across organizational silos.

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Detecting and Preventing Bias: A Crucial Element of AI Governance

David Menninger's Analyst Perspectives

In today's rapidly evolving technological landscape, artificial intelligence (AI) governance has emerged as a critical ingredient for successful AI deployments. It helps build trust in the results of AI models, it helps ensure compliance with regulations and it is necessary to meet internal governance requirements. Effective AI governance must encompass various dimensions, including data privacy, model drift, hallucinations, toxicity and perhaps most importantly, bias.

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Step-by-Step Guide to Deploying ML Models with Docker

KDnuggets

Tired of fixing the same deployment issues? Learn how Docker can keep your ML models running smoothly, every time.

Modeling 143
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What do Top Leaders have to Say About Agentic AI?

Analytics Vidhya

Introduction Agentic AI is an exciting concept! It’s all about creating AI that can work on its own, without us constantly telling it what to do. Think of it like having a super-smart assistant; it doesn’t just sit there waiting for orders, but predicts what you need and gets it done. This idea is getting […] The post What do Top Leaders have to Say About Agentic AI?

Analytics 271
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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When is the right time to dump an AI project?

CIO Business Intelligence

Many organizations running AI pilots will inevitably encounter a key IT dilemma: when to pull the plug and move on. If they dump a pilot that’s not meeting expectations too soon, they may miss out on huge benefits down the line, but if they hang on too long, they can waste huge amounts of time, money, and resources. On the one side, Forrester recently warned organizations not to look for AI ROI too soon, because they could miss out on AI’s benefits.

ROI 135
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Detecting and Preventing Bias: A Crucial Element of AI Governance

David Menninger's Analyst Perspectives

In today's rapidly evolving technological landscape, artificial intelligence (AI) governance has emerged as a critical ingredient for successful AI deployments. It helps build trust in the results of AI models, it helps ensure compliance with regulations and it is necessary to meet internal governance requirements. Effective AI governance must encompass various dimensions, including data privacy, model drift, hallucinations, toxicity and perhaps most importantly, bias.

Metrics 147

More Trending

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How to Measure the ROI of GenAI Investments?

Analytics Vidhya

Introduction Generative AI is experiencing an incredible boom, and it’s no longer just a tech-centric topic. It has caught the eye of top business leaders and is now a tool in the C-suite’s arsenal. As organizations deploy Generative AI in their workflows, it is crucial for them to evaluate if this technology is delivering the […] The post How to Measure the ROI of GenAI Investments?

ROI 244
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The success of GenAI models lies in your data management strategy

CIO Business Intelligence

The rise of generative AI (GenAI) felt like a watershed moment for enterprises looking to drive exponential growth with its transformative potential. However, this enthusiasm may be tempered by a host of challenges and risks stemming from scaling GenAI. As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls.

Strategy 143
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Take manual snapshots and restore in a different domain spanning across various Regions and accounts in Amazon OpenSearch Service

AWS Big Data

Snapshots are crucial for data backup and disaster recovery in Amazon OpenSearch Service. These snapshots allow you to generate backups of your domain indexes and cluster state at specific moments and save them in a reliable storage location such as Amazon Simple Storage Service (Amazon S3). Snapshots play a critical role in providing the availability, integrity and ability to recover data in OpenSearch Service domains.

Snapshot 110
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Claude AI: Unboxing Anthropic’s LLM-based AI Assistant, Artifacts & Use Cases

KDnuggets

Dive into this emerging and powerful LLM-based AI tool for enhancing your business, creative, or daily processes through well-managed conversations.

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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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CV Data Extraction: Essential Tools and Methods for Recruitment

Analytics Vidhya

Introduction When attending a job interview or hiring for a large company, reviewing every CV in detail is often impractical due to the high volume of applicants. Instead, leveraging CV data extraction to focus on how well key job requirements align with a candidate’s CV can lead to a successful match for both the employer […] The post CV Data Extraction: Essential Tools and Methods for Recruitment appeared first on Analytics Vidhya.

Analytics 234
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Oracle adds agentic AI to Fusion Cloud CX

CIO Business Intelligence

Aiming to deliver end-to-end service automation, Oracle on Wednesday unveiled new agentic AI capabilities for Oracle Fusion Cloud Service and Oracle Fusion Field Service. Oracle said the new AI-driven workflows will help service teams increase service efficiency, reduce time-to-resolution, and improve customer experience. “We’re striving at Oracle for total end-to-end service automation, not enhancements, not spot efficiency gains in service,” Jeff Wartgow, vice president of Oracle Service, told

Finance 140
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Podcast: The Data Strategy Show

DataKitchen

Christopher Bergh is the CEO and Head Chef at DataKitchen. Chris has more than 30 years of research, software engineering, data analytics, and executive management experience. At various points in his career, he has been a COO, CTO, VP, and Director of engineering. Enjoy the chat.

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Mastering Prompt Engineering in 2024

KDnuggets

Read this overview of prompting techniques, challenges, and best practices to help you master this essential AI skill.

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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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The 2024 Nobel Prizes: AI is Taking Over Everything

Analytics Vidhya

The 2024 Nobel Prizes in Physics and Chemistry signal a significant shift: Artificial Intelligence (AI) isn’t just a tool anymore, it’s becoming the beating heart of scientific progress. This year’s laureates have shown how AI is transforming fields as diverse as physics, biology and chemistry, laying the groundwork for AI’s relentless march into all aspects […] The post The 2024 Nobel Prizes: AI is Taking Over Everything appeared first on Analytics Vidhya.

Analytics 235
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Many C-suite execs have lost confidence in IT, including CIOs

CIO Business Intelligence

Some bad news for CIOs: Many C-suite leaders, including IT leaders themselves, have less confidence in your department’s ability to get the job done than they did a decade ago. Less than half of C-level executives believe their IT organizations are effectively delivering basic services, compared to about two-thirds with confidence in 2013, according to a survey recently released by the IBM Institute for Business Value.

IT 140
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Amazon EMR on EC2 cost optimization: How a global financial services provider reduced costs by 30%

AWS Big Data

In this post, we highlight key lessons learned while helping a global financial services provider migrate their Apache Hadoop clusters to AWS and best practices that helped reduce their Amazon EMR , Amazon Elastic Compute Cloud (Amazon EC2), and Amazon Simple Storage Service (Amazon S3) costs by over 30% per month. We outline cost-optimization strategies and operational best practices achieved through a strong collaboration with their DevOps teams.

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10 Critical AI Concepts Explained in 5 Minutes

KDnuggets

Acquire a transversal understanding of high-relevance AI jargon in the time it takes to drink a cup of coffee.

IT 143
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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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Top 6 LLMs that Support Function Calling

Analytics Vidhya

Introduction OpenAI’s latest models, like GPT-o1 and GPT-4o, excel in delivering accurate, context-aware responses across diverse fields. A key factor behind the advancements in these Large Language Models (LLMs) is their enhanced utility and the significant reduction in common issues like hallucinations. Techniques like retrieval-augmented generation (RAG) enhance accuracy and reduce hallucinations by allowing models […] The post Top 6 LLMs that Support Function Calling appeared fir

Modeling 235
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CIO intangibles: 6 abilities that set effective IT execs apart

CIO Business Intelligence

What got you here won’t get you there. That advice from executive coach and bestselling author Marshall Goldsmith has never been truer for CIOs than it is today. The technical skills, IT leadership expertise, and ability to keep the network secure and running, and even to deliver innovation aren’t enough to create success for today’s CIOs. “When we think about where CIOs need to go, we say to them: ‘You need to be an executive first and a functional leader second,’” says Christie Struckman, rese

IT 133
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Analytics Technology Drives Conversions for Your eCommerce Site

Smart Data Collective

Data analytics technology can play an important role in growing an ecommerce brand.

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Integrating LLMs with Scikit-Learn Using Scikit-LLM

KDnuggets

Combining LLM reasoning for text-based models in Scikit-Learn.

Modeling 143
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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Essential Practices for Building Robust LLM Pipelines

Analytics Vidhya

Introduction Large Language Model Operations (LLMOps) is an extension of MLOps, tailored specifically to the unique challenges of managing large-scale language models like GPT, PaLM, and BERT. While MLOps focuses on the lifecycle of machine learning models in general, LLM Ops addresses the complexities introduced by models with billions of parameters, such as handling resource-intensive […] The post Essential Practices for Building Robust LLM Pipelines appeared first on Analytics Vidhya.

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Amazon is cutting out the middle manager. Here’s why you shouldn’t.

CIO Business Intelligence

Amazon made headlines a few weeks ago with its announced reorganization. According to CEO Andy Jassy, a massive reorganization is what’s needed to remove layers, flatten organizations, increase teammates’ ability to move fast, and create an employee utopia by getting rid of lots and lots of non-value-adding managers. I’m not optimistic. And I don’t think you should be either if you’re thinking of approaching your organizational issues the same way.

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Perform data parity at scale for data modernization programs using AWS Glue Data Quality

AWS Big Data

Today, customers are embarking on data modernization programs by migrating on-premises data warehouses and data lakes to the AWS Cloud to take advantage of the scale and advanced analytical capabilities of the cloud. Customers are migrating their on-premises data warehouse solutions built on databases like Netezza, PostgreSQL, Greenplum, and Teradata to AWS based modern data platforms using services like Amazon Simple Storage Service (Amazon S3) and Amazon Redshift.

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How to Create YouTube Video Study Guides with NotebookLM

KDnuggets

NotebookLM makes it easy to create study guides from YouTube videos by using AI to summarize and organize key points. Just upload the video link, and the tool helps you turn the content into a structured guide.

IT 141
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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Microsoft’s Drasi: An Open-Source Tool for Efficient Change Management Systems

Analytics Vidhya

Introduction Today, data systems evolve quickly, demanding efficient monitoring and response. Real-time change detection is essential to keeping systems stable, preventing failures, and ensuring business continuity. Microsoft’s open-source tool, Drasi, addresses this need by effortlessly detecting, monitoring, and responding to data changes across platforms, including relational and graph databases.

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SAP launches collaborative AI agents, adds Knowledge Graph

CIO Business Intelligence

SAP’s promised collaboration between its AI copilot, Joule, and other agents will become reality in the fourth quarter of 2024, the company announced at its 2024 TechEd conference Tuesday. The company first discussed the new functionality at its Sapphire conference in June, announcing that Joule would offer an integration with Microsoft Copilot enabling users to, for example, query their Outlook calendar from Joule.

ROI 130
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Extract insights in a 30TB time series workload with Amazon OpenSearch Serverless

AWS Big Data

In today’s data-driven landscape, managing and analyzing vast amounts of data, especially logs, is crucial for organizations to derive insights and make informed decisions. However, handling large data while extracting insights is a significant challenge, prompting organizations to seek scalable solutions without the complexity of infrastructure management.

Testing 110
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Using Hugging Face Transformers with PyTorch and TensorFlow

KDnuggets

With Hugging Face become prominent than ever, learning how to use the Transformers library with popular deep-learning frameworks would improve your career.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.