March, 2024

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Think you can ignore quantum computing? Think again.

CIO Business Intelligence

“It’s been known since the 1990s that a large-scale quantum computer will be able to break many of the crypto systems we rely on for security,” says Dustin Moody, leader of Post Quantum Cryptography (PQC) at the National Institute for Standards and Technology (NIST) in Maryland. In 1994, American mathematician Peter Shor developed quantum algorithms to factor integers and solve the discrete logarithm problem.

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Could AI Replace Software Engineers? Meet Devin, the First AI-Driven Engineer

Analytics Vidhya

Introduction Software development is on the brink of a transformative shift as artificial intelligence (AI) continues to push the boundaries of what was once deemed impossible. Enter Devin AI, an AI software engineer developed by the innovative minds at Cognition. This groundbreaking creation aims to revolutionize how we approach software development, streamlining the process and […] The post Could AI Replace Software Engineers?

Software 399
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ChatGPT, Author of The Quixote

O'Reilly on Data

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. We have many current and future copyright challenges: training may not infringe copyright, but legal doesn’t mean legitimate—we consider the analogy of MegaFace where surveillance models have been trained on photos of minors, for example, without informed consent.

Modeling 278
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A Collection Of Free Data Science Courses From Harvard, Stanford, MIT, Cornell, and Berkeley

KDnuggets

Learn everything about data science by exploring our curated collection of free courses from top universities, covering essential topics from math and programming to machine learning, and mastering the nine steps to become a job-ready data scientist.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Demystifying Multimodal LLMs

Dataiku

Picture this : You’re scrolling through your favorite social media platform, and you come across a stunning image of a picturesque landscape. Intrigued, you type in a question about the location, expecting a response from a fellow user. But instead, a machine seamlessly identifies the scene and its location, provides a detailed description, and even suggests nearby attractions.

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Announcing data filtering for Amazon Aurora MySQL zero-ETL integration with Amazon Redshift

AWS Big Data

As your organization becomes more data driven and uses data as a source of competitive advantage, you’ll want to run analytics on your data to better understand your core business drivers to grow sales, reduce costs, and optimize your business. To run analytics on your operational data, you might build a solution that is a combination of a database, a data warehouse, and an extract, transform, and load (ETL) pipeline.

More Trending

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Google Unveils VLOGGER: An AI That Can Create Life-like Videos from a Single Picture

Analytics Vidhya

Google researchers have pioneered a revolutionary AI named VLOGGER, capable of transforming still images into dynamic, lifelike videos. This innovation marks a significant leap in artificial intelligence, with profound implications for various industries. While VLOGGER promises exciting possibilities, it also sparks discussions around deepfakes and misinformation.

Analytics 394
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Moving from Power BI to Microsoft Fabric

Paul Turley

Fabric is here but what does that mean if you are using Power BI? What do you need to know and what, if anything will you need to change if you are a Power BI report designer, developer or BI solution architect? What parts of Fabric should you use now and how do you plan for the near-term future? As I write this in March of 2024, I'm at the Microsoft MVP Summit at the Microsoft campus in Redmond, Washington this week learning about what the product teams will be working on over the next year or

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Statistics for Machine Learning: What you need to know to become a certified expert

KDnuggets

Ready to become a SAS Certified Specialist in Statistics for Machine Learning? Here’s everything you need to know about the recently released certification from SAS.

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Cloudera’s RHEL-volution: Powering the Cloud with Red Hat

Cloudera

As enterprise AI technologies rapidly reshape our digital environment, the foundation of your cloud infrastructure is more critical than ever. That’s why Cloudera and Red Hat , renowned for their open-source solutions, have teamed up to bring Red Hat Enterprise Linux ( RHEL ) to Cloudera on public cloud as the operating system for all of our public cloud platform images.

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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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Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion

AWS Big Data

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 127
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Re-imagining Business Workflows with AI-Powered Automation

CIO Business Intelligence

Artificial intelligence (AI) is delivering rapid change for Australian business by raising customers’ expectations, generating new competitive challenges, and creating opportunities for new products and services. This rapid change demands a rapid response, but the strength of that response depends greatly on two factors – the agility of systems and processes and the availability of skilled workers to run them.

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The Fastest AI Model by Anthropic – Claude 3 Haiku

Analytics Vidhya

Introduction Imagine a world where artificial intelligence is not just about complex algorithms and high-tech jargon but about speed, efficiency, and accessibility. Welcome to that world, brought to you by the latest sensation in AI—Claude 3 Haiku. This new member of Anthropic’s family is not just another AI model; it’s a symbol of our relentless […] The post The Fastest AI Model by Anthropic – Claude 3 Haiku appeared first on Analytics Vidhya.

Modeling 387
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The Importance of Analytics and Reporting in Healthcare

Smart Data Collective

Analytics and reporting have become indispensable in the rapidly evolving healthcare landscape, driving transformation across patient care, operational efficiency, and strategic decision-making. These valuable tools enable providers to delve into vast amounts of health data for insights that enhance outcomes, personalize treatments plans, and deepen understanding of health trends.

Reporting 109
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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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Top 6 YouTube Series for Data Science Beginners

KDnuggets

Want to start your data science journey from home, for free, and work at your own pace? Have a dive into this data science roadmap using the YouTube series.

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A Look Ahead at the Gartner Data & Analytics Summit

Cloudera

As we enter into a new month, the Cloudera team is getting ready to head off to the Gartner Data & Analytics Summit in Orlando, Florida for one of the most important events of the year for Chief Data Analytics Officers (CDAOs) and the field of data and analytics. We’re at a crucial point in time where the excitement and potential surrounding AI has elevated the importance of improving access to the mission-critical data that helps organizations implement it at scale.

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Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. However, altering schema and table partitions in traditional data lakes can be a disruptive and time-consuming task, requiring renaming or recreating entire tables and reprocessing large datasets.

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Why your best IT managers quit

CIO Business Intelligence

It’s one of those sayings that sticks around: People quit managers, not jobs. But, for all its staying power, is it actually accurate? When it comes to why your best IT managers quit, the answer is yes, no, and maybe. Yes, top managers — like all high performers — are less likely to tolerate working for a bad boss; because they typically are more driven (which is why they’re valuable employees), they’re more willing to seek a better gig.

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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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9 Best Statistics Books for Data Science in 2024

Analytics Vidhya

Introduction The role of statistics in the dynamic field of data science is foundational, acting as the critical toolset for analyzing and making sense of the vast data landscapes of today. With countless resources at our disposal, selecting the right guide to navigate the intricate world of statistics can be overwhelming. This guide aims to […] The post 9 Best Statistics Books for Data Science in 2024 appeared first on Analytics Vidhya.

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Data-Centric: How Big Things Get Done (in IT)

TDAN

I read “How Big Things Get Done” when it first came out about six months ago.[1] I liked it then. But recently, I read another review of it, and another coin dropped.

IT 105
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Best Free Resources to Learn Data Analysis and Data Science

KDnuggets

This article introduces six top-notch, free data science resources ideal for aspiring data analysts, data scientists, or anyone aiming to enhance their analytical skills.

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Ways Marketers Can Use Customer Data

Smart Data Collective

The advent of sophisticated data analytics tools has revolutionized how businesses approach marketing. With an abundance of customer data at their fingertips, marketers are now empowered to understand their audience like never before.

Marketing 105
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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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Build a RAG data ingestion pipeline for large-scale ML workloads

AWS Big Data

For building any generative AI application, enriching the large language models (LLMs) with new data is imperative. This is where the Retrieval Augmented Generation (RAG) technique comes in. RAG is a machine learning (ML) architecture that uses external documents (like Wikipedia) to augment its knowledge and achieve state-of-the-art results on knowledge-intensive tasks.

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Building the future of construction

CIO Business Intelligence

The construction industry in many countries around the world is facing a labor shortage crisis. The workforce is aging, fewer young people are entering the field, and those who are working have to take on longer hours to meet the demand. The issue particularly acute in Japan, where strict overtime regulations started in 2024. For construction to continue at the pace needed, something has to change.

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Google I/O 2024 Dates Announced; Here’s What to Expect

Analytics Vidhya

Google enthusiasts and techies are abuzz with excitement as Google I/O 2024 draws near. This annual tech event, announced to begin on May 14, promises a plethora of revelations and updates across Google’s vast ecosystem. From artificial intelligence (AI) breakthroughs to potential hardware unveilings, here’s a sneak peek at what’s in store for attendees and […] The post Google I/O 2024 Dates Announced; Here’s What to Expect appeared first on Analytics Vidhya.

Analytics 385
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Creative Ways to Surf Your Data Using Virtual and Augmented Reality

TDAN

Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene.

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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.

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5 Free University Courses to Learn Databases and SQL

KDnuggets

Looking to learn SQL and databases to level up your data science skills? Learn SQL, database internals, and much more with these free university courses.

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5 Reasons Why Startups are Turning to AI and Contractors

Smart Data Collective

Why are startups increasingly aligning with artificial intelligence and the gig economy? It’s simple: AI and contractors offer them agility and precision in a competitive market. Startups are unique beasts striving to disrupt markets with limited resources but boundless innovation. To maintain this delicate balance, they often turn to AI and contractors for a boost.

Marketing 104
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How VMware Tanzu CloudHealth migrated from self-managed Kafka to Amazon MSK

AWS Big Data

This is a post co-written with Rivlin Pereira & Vaibhav Pandey from Tanzu CloudHealth (VMware by Broadcom). VMware Tanzu CloudHealth is the cloud cost management platform of choice for more than 20,000 organizations worldwide, who rely on it to optimize and govern their largest and most complex multi-cloud environments. In this post, we discuss how the VMware Tanzu CloudHealth DevOps team migrated their self-managed Apache Kafka workloads (running version 2.0) to Amazon Managed Streaming for

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Rocket Mortgage lays foundation for generative AI success

CIO Business Intelligence

To succeed in the mortgage industry, efficiency and accuracy are paramount. So too is keeping your options open. That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. The Detroit-headquartered retail mortgage lender has been deploying machine learning and AI for more than a decade and is among the few pioneers that hav

Data Lake 129
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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.