August, 2024

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Future of Data Analyst

Analytics Vidhya

Introduction Envision a reality where data is not just an array of figures but a tool that serves as the blueprint for all management decisions. In this ever-changing environment, the data analyst becomes crucial. They convert raw data into usable analysis. This analysis can be used to optimize organizational strategy and processes. As technology progresses […] The post Future of Data Analyst appeared first on Analytics Vidhya.

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Think Better

O'Reilly on Data

Over the years, many of us have become accustomed to letting computers do our thinking for us. “That’s what the computer says” is a refrain in many bad customer service interactions. “That’s what the data says” is a variation—“the data” doesn’t say much if you don’t know how it was collected and how the data analysis was performed. “That’s what GPS says”—well, GPS is usually right, but I have seen GPS systems tell me to go the wrong way down a one-way street.

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Market Observations on AI Governance

David Menninger's Analyst Perspectives

Having just completed our AI Platforms Buyers Guide assessment of 25 different software providers, I was surprised to see how few provided robust AI governance capabilities. As I’ve written previously , data governance has changed dramatically over the last decade, with nearly twice as many enterprises (71% v. 38%) implementing data governance policies during that time.

Marketing 289
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Podcast: DataOps, Observability, and The Cure for Data Team Blues on DataTalks.Club

DataKitchen

Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

IT 190
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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Optimizing Your LLM for Performance and Scalability

KDnuggets

Optimize LLM performance and scalability using techniques like prompt engineering, retrieval augmentation, fine-tuning, model pruning, quantization, distillation, load balancing, sharding, and caching.

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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

More Trending

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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 AppsFlyer modernized their interactive workload by moving to Amazon Athena and saved 80% of costs

AWS Big Data

This post is co-written with Nofar Diamant and Matan Safri from AppsFlyer. AppsFlyer develops a leading measurement solution focused on privacy, which enables marketers to gauge the effectiveness of their marketing activities and integrates them with the broader marketing world, managing a vast volume of 100 billion events every day. AppsFlyer empowers digital marketers to precisely identify and allocate credit to the various consumer interactions that lead up to an app installation, utilizing i

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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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10 Python Libraries Every Data Scientist Should Know

KDnuggets

Want to take the next step in your journey to becoming a data scientist? Check out these Python libraries for data science that you can't do without.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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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 to Enroll for 5 Days ISRO AI Free Courses?

Analytics Vidhya

Introduction As someone deeply passionate about the intersection of technology and education, I am thrilled to share that the Indian Space Research Organisation (ISRO) is offering an incredible opportunity for students interested in artificial intelligence (AI) and machine learning (ML). From August 19 to 23, ISRO will conduct a free, comprehensive online course designed to […] The post How to Enroll for 5 Days ISRO AI Free Courses?

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What AI Startups Need to Know About DEI

Smart Data Collective

DEI can be great for AI startups that are trying to improve inclusivity and get quality employees.

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Amazon OpenSearch Serverless cost-effective search capabilities, at any scale

AWS Big Data

We’re excited to announce the new lower entry cost for Amazon OpenSearch Serverless. With support for half (0.5) OpenSearch Compute Units (OCUs) for indexing and search workloads, the entry cost is cut in half. Amazon OpenSearch Serverless is a serverless deployment option for Amazon OpenSearch Service that you can use to run search and analytics workloads without the complexities of infrastructure management, shard tuning or data lifecycle management.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Podcast: Joe Reis Data Engineering

DataKitchen

Chris Bergh joins me to chat about all things DataOps. We also discuss lean, removing waste from data processes and teams, and much more.

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Beginner’s Guide to Careers in AI and Machine Learning

KDnuggets

The AI and ML complexity results in a growing number and diversity of jobs that require AI & ML expertise. We’ll give you a rundown of these jobs regarding the technical skills they need and the tools they employ.

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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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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 328
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Data Talks, CFOs Listen: Why Analytics Is The Key To Better Spend Management

Speaker: Claire Grosjean, Global Finance & Operations Executive

Finance teams are drowning in data—but is it actually helping them spend smarter? Without the right approach, excess spending, inefficiencies, and missed opportunities continue to drain profitability. While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise.

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Understanding the Cybersecurity Implications of Daily Social Media Use

Smart Data Collective

Explore the cybersecurity risks of daily social media use. Learn how to protect your data and privacy while navigating popular platforms effectively.

Risk 124
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Improve Apache Kafka scalability and resiliency using Amazon MSK tiered storage

AWS Big Data

Since the launch of tiered storage for Amazon Managed Streaming for Apache Kafka (Amazon MSK), customers have embraced this feature for its ability to optimize storage costs and improve performance. In previous posts, we explored the inner workings of Kafka , maximized the potential of Amazon MSK , and delved into the intricacies of Amazon MSK tiered storage.

Metrics 124
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Podcast: The Data Engineering Podcast With Tobias Macy

DataKitchen

Summary In this episode of the Data Engineering Podcast, host Tobias Macey welcomes back Chris Berg, CEO of DataKitchen, to discuss his ongoing mission to…

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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 147
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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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Four generative AI use cases for businesses

CIO Business Intelligence

As business leaders look to harness AI to meet business needs, generative AI has become an invaluable tool to gain a competitive edge. This breakthrough technology can comprehend and communicate in natural language, aiding the creation of personalized customer interactions and immersive virtual experiences while supplementing employee capabilities. What sets generative AI apart from traditional AI is not just the ability to generate new data from existing patterns.

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Gemma Scope: Google’s Microscope for Peering into AI’s Thought Process

Analytics Vidhya

Introduction In Artificial Intelligence, Understanding the underlying workings of language models has proven to be significant and difficult. Google has made a significant step forward in tackling this issue by releasing Gemma Scope, a comprehensive package of tools to assist researchers in peering inside the “black box” of AI language models.

Modeling 328
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How Internet Providers Are Using AI and Data Analytics To Help Customers

Smart Data Collective

Explore how AI and data analytics are revolutionizing internet providers' approaches to customer satisfaction and service efficiency!

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Seamless integration of data lake and data warehouse using Amazon Redshift Spectrum and Amazon DataZone

AWS Big Data

Unlocking the true value of data often gets impeded by siloed information. Traditional data management—wherein each business unit ingests raw data in separate data lakes or warehouses—hinders visibility and cross-functional analysis. A data mesh framework empowers business units with data ownership and facilitates seamless sharing. However, integrating datasets from different business units can present several challenges.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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2024 Gartner Market Guide To DataOps

DataKitchen

2024 Gartner Market Guide To DataOps We at DataKitchen are thrilled to see the publication of the Gartner Market Guide to DataOps, a milestone in the evolution of this critical software category. As the pioneer in the DataOps category, we are proud to have laid the groundwork for what has become an essential approach to managing data operations in today’s fast-paced business environment.

Marketing 124
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Top 5 Free Resources for Learning Advanced SQL Techniques

KDnuggets

Today, we’re looking for five quality resources that will teach you advanced SQL and do it for free.

IT 145
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Is the gen AI bubble due to burst? CIOs face rethink ahead

CIO Business Intelligence

Generative AI has been hyped so much over the past two years that observers see an inevitable course correction ahead — one that should prompt CIOs to rethink their gen AI strategies. But while whispers of a gen AI bubble grow louder, a full burst may not be in the offing, as many AI experts see investment continuing even after some IT leaders, among others, push back on the technology’s hype.

ROI 143
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Optimizing LLM Tasks with AdalFlow: Achieving Efficiency with Minimal Abstraction

Analytics Vidhya

Introduction AdalFlow, founded by Li Yin, was created to bridge the gap between Retrieval-Augmented Generation (RAG) research and product development. While both communities use PyTorch, existing frameworks either lack real-world flexibility or are too complex for research. AdalFlow provides a unified library with strong string processing, flexible tools, multiple output formats, and model monitoring like […] The post Optimizing LLM Tasks with AdalFlow: Achieving Efficiency with Minimal Ab

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.