Sat.Apr 13, 2024 - Fri.Apr 19, 2024

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7 Steps to Mastering MLOPs

KDnuggets

Join us on a journey of becoming a professional MLOps engineer by mastering essential tools, frameworks, key concepts, and processes in the field.

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Building the human firewall: Navigating behavioral change in security awareness and culture

IBM Big Data Hub

The latest findings of the IBM X-Force® Threat Intelligence Index report highlight a shift in the tactics of attackers. Rather than using traditional hacking methods, there has been a significant 71% surge in attacks where criminals are exploiting valid credentials to infiltrate systems. Info stealers have seen a staggering 266% increase in their utilization, emphasizing their role in acquiring these credentials.

Metrics 86
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Empowering data mesh: The tools to deliver BI excellence

erwin

The data mesh framework In the dynamic landscape of data management, the search for agility, scalability, and efficiency has led organizations to explore new, innovative approaches. One such innovation gaining traction is the data mesh framework. The data mesh approach distributes data ownership and decentralizes data architecture, paving the way for enhanced agility and scalability.

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Data Crime: Arizona Is Not Arkansas

TDAN

I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications, it can help us learn from mistakes and prevent future data crimes. The stories can also be helpful if you have to explain the importance of data management to someone.

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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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A CIO’s Journey through Data-Driven Transformation

Data Virtualization

Reading Time: 2 minutes Imagine a chief information officer (CIO) at the forefront of an ambitious mission. The CIO’s company, in pursuit of growth and profitability, faces an all-too-common obstacle: harnessing the vast ocean of data. This CIO understands that the key to unlocking. The post A CIO’s Journey through Data-Driven Transformation appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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AI supports Decarbonizing the Future at Green Hydrogen Summit

Jen Stirrup

The Green Hydrogen Summit, hosted in Abu Dhabi by Masdar, kicked off this year with a significant focus on Artificial Intelligence and data to advance the green hydrogen economy for a sustainable energy transition. There is a significant focus on Artificial Intelligence and data and its potential. It is important to highlight that AI has real possibilities and presents opportunities for supporting the transition to Net Zero and, most importantly, looking after the planet.

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Data-Driven Workers’ Compensation Claims Management

Smart Data Collective

More insurers are using data analytics to streamline the process for worker's compensation claimants.

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The Role of Data Structures and Algorithms in Software Development

Smart Data Collective

Explore how data structures and algorithms power software development. Learn key concepts and best practices for efficient coding.

Software 100
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15+ Smallest LLMs that You can Run on Local Devices

Analytics Vidhya

Introduction Imagine harnessing the power of advanced language models right on your personal computer or mobile device without relying on cloud services or powerful servers. Sounds incredible, doesn’t it? Well, these tiny language models make this dream a reality. In NLP, we’ve observed the advent of enormous language models that assimilate and create text just […] The post 15+ Smallest LLMs that You can Run on Local Devices appeared first on Analytics Vidhya.

Modeling 301
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Why We Open-Sourced Our Data Observability Products

DataKitchen

Introducing DataKitchen’s Open Source Data Observability Software Today, we announce that we have open-sourced two complete, feature-rich products that solve the data observability problem: DataOps Observervability and DataOps TestGen. With these two products, you will know if your pipelines are running without error and on time and can finally trust your data.

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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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Accelerating Industry 4.0 at warp speed: The role of GenAI at the factory edge

CIO Business Intelligence

It’s Wednesday night. You’re fast asleep aboard the USS Enterprise Star Trek. Suddenly, you wake to an urgent announcement and rush to the bridge of the starship. Captain James T. Kirk is activating warp drive and you see the iconic blurred streaks of light as the spaceship reaches warp speed. Within seconds, you are traveling faster than the speed of light to reach a Klingon war in the Alpha Quadrant–arriving in minutes versus years.

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5 Free Courses to Master Math for Data Science

KDnuggets

Want to learn math for data science? Check out these three courses to learn linear algebra, calculus, statistics, and more.

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ColBERT – Improve Retrieval Performance with Token Level Vector Embeddings

Analytics Vidhya

Introduction Retrieval Augmented-Generation (RAG) has taken the world by Storm ever since its inception. RAG is what is necessary for the Large Language Models (LLMs) to provide or generate accurate and factual answers. We solve the factuality of LLMs by RAG, where we try to give the LLM a context that is contextually similar to […] The post ColBERT – Improve Retrieval Performance with Token Level Vector Embeddings appeared first on Analytics Vidhya.

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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability. With this new instance family, OpenSearch Service uses OpenSearch innovation and AWS technologies to reimagine how data is indexed and stored in the cloud.

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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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CIOs not entirely sold on generative AI copilots

CIO Business Intelligence

A new breed of AI assistant has set its sights on the enterprise user in recent months, with Microsoft and other vendors promising huge productivity gains that offset the cost. But Microsoft still has work to do on its value proposition. Its Copilot for Microsoft 365, a high-profile offering among the growing list of AI agents, costs $30 per seat per month, with a 300-seat minimum.

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Ultimate Collection of 50 Free Courses for Mastering Data Science

KDnuggets

The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.

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Meta Llama 3: Redefining Large Language Model Standards

Analytics Vidhya

Introduction The landscape of artificial intelligence has been dramatically reshaped over the past few years by the advent of Large Language Models (LLMs). These powerful tools have evolved from simple text processors to complex systems capable of understanding and generating human-like text, making significant strides in both capabilities and applications.

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A Look Back at the Gartner Data and Analytics Summit

Cloudera

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner.

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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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Generative AI gold rush drives IT spending — with payoff in question

CIO Business Intelligence

A scramble to invest in artificial intelligence and a natural replacement cycle for computing devices purchased during the COVID pandemic will lead to an 8% increase in global IT spending this year, Gartner predicted. Interest in AI, building since last year, will push a 10% increase in data center system spending this year, driving worldwide IT spending to $5.06 trillion, said John-David Lovelock, distinguished vice president analyst at Gartner.

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Power analytics as a service capabilities using Amazon Redshift

AWS Big Data

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices.

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Meta AI: Your New Intelligent Assistant Powered by Llama 3

Analytics Vidhya

Meta introduces Meta AI, powered by the cutting-edge Llama 3, revolutionizing assistance across its platforms. With seamless integration and enhanced features, Meta AI aims to redefine user experiences. Let’s explore the features and applications of Meta’s AI assistant. Also Read: Meta Releases Much-Awaited Llama 3 Model Enhanced Assistance Everywhere Meta AI, leveraging Meta Llama 3, […] The post Meta AI: Your New Intelligent Assistant Powered by Llama 3 appeared first on Anal

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The End of Agile – Part 3 (What Is Agile Really?)

TDAN

In the first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with.

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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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Skills-first hiring has CIOs rethinking talent strategies

CIO Business Intelligence

Jason Snyder faces the same challenge nearly all CIOs encounter when looking to fill open positions: a tight labor market, where fierce competition for workers has meant months-long vacancies. Snyder, secretary of the Executive Office of Technology Services and Security and Commonwealth CIO for Massachusetts, responded by overhauling the agency’s recruitment and retention practices.

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Introducing Amazon MWAA larger environment sizes

AWS Big Data

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed service for Apache Airflow that streamlines the setup and operation of the infrastructure to orchestrate data pipelines in the cloud. Customers use Amazon MWAA to manage the scalability, availability, and security of their Apache Airflow environments. As they design more intensive, complex, and ever-growing data processing pipelines, customers have asked us for additional underlying resources to provide greater concurrency an

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Top 6 Datasets For Emotion Detection

Analytics Vidhya

Introduction Emotion detection is the most important component of affective computing. It has gained significant traction in recent years due to its applications in diverse fields such as psychology, human-computer interaction, and marketing. Central to the development of effective emotion detection systems are high-quality datasets annotated with emotional labels.

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Maximize the power of your lines of defense against cyber-attacks with IBM Storage FlashSystem and IBM Storage Defender

IBM Big Data Hub

Today, cybercrime is good business. It exists because the profits are high while the risks are low. Far from stopping, cybercrime is constantly increasing. In 2023, the FBI received a record number of 880,418 complaints with potential losses exceeding USD 12.5 billion. This is a nearly 10% increase in complaints and 22% increase in losses compared to 2022.

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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4 tips for championing contact center innovation from an award-winning customer experience leader

CIO Business Intelligence

Innovation is essential, especially in the contact center as the tip of the spear in customer experience, but how do you activate your modernization plan? I had the opportunity to speak with Mary Daniel, VP of Customer Solutions Center for Aflac, a long-time Avaya customer, at the Gartner Symposium last fall. Mary is a veteran when it comes to customer experience and was most recently named by Constellation Research to the AX100 list , an elite group of executives who are breaking barriers and

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Utilizing Pandas AI for Data Analysis

KDnuggets

Bring the latest AI implementation to Pandas to improve your data workflow.

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Top 10 AI Tools for Social Media

Analytics Vidhya

Introduction Hi there, lovers of social media! Are you interested in learning the trick to flawlessly content that drawsattention on its own? Then you need to start using AI tools. We’ll explore the top 10 AI tools that are revolutionizing social media management. These tools offer innovative solutions for everything from content creation to analytics, […] The post Top 10 AI Tools for Social Media appeared first on Analytics Vidhya.

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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The manufacturing industry is in an unenviable position. Facing a constant onslaught of cost pressures, supply chain volatility and disruptive technologies like 3D printing and IoT. The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. At the same time, there is this huge sustainability and energy transition wave.

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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.