Artificial Intelligence Means Smaller Teams Doing More with Less Makes the Small Autonomous Teams Structure Even More Important
In this contributed article, Brady Brim-DeForest, CEO of Formula.Monks, discusses how the more that we incorporate AI technology into white collar workflows in large organizations, the more that it becomes important to lean into the work structures that make humans function at their best.
Nature Communications Publishes Zapata AI Research on Generative AI for Optimization
Zapata Computing Holdings Inc. (Nasdaq: ZPTA), the Industrial Generative AI company, announced that its foundational research on generator-enhanced optimization (GEO) has been published in the esteemed Nature Communications journal. The research, titled “Enhancing Combinatorial Optimization with Classical and Quantum Generative Models,” introduces Generator-Enhanced Optimization (GEO), a novel optimization method that leverages the power of generative modeling to suggest high-quality candidate solutions to complex optimization problems.
What AI Could, Should, and Would Do
In this contributed article, Dr. Chirag Shah, professor in the Information School at the University of Washington, highlights how we are at a crossroads in our relationship with AI where what we choose now can have a huge impact on the future of AI and that of humanity. So the question is — how do we make good choices? Let’s start by examining two extreme visions of AI.
The Solution to Data in Motion Is to Just Stop
In this contributed article, Sida Shen, product marketing manager, CelerData, discusses how data lakehouse architectures promise the combined strengths of data lakes and data warehouses, but one question arises: why do we still find the need to transfer data from these lakehouses to proprietary data warehouses? In this article, we’ll explore how to maximize the efficiency of lakehouses, eliminate data in motion, and streamline data management processes.
Sponsored Guest Article
Optimizing Performance and Cost Savings for Elastic on Pure Storage
[SPONSORED POST] Organizations can now confidently embrace Elastic, enhance their hot tier storage, and seamlessly manage historical data with cost-efficient capacity-optimized storage. Pure Storage not only meets the demands of the modern data landscape but also empowers organizations to simplify their Elastic architecture, reflecting the industry trend towards a more streamlined and efficient approach.
White Papers
From complexity to clarity: Harnessing the power of AI/ML and risk-informed strategies to streamline clinical data management
In today’s fast-paced world, driven by demands for speed and efficiency, the field of clinical development has undergone a remarkable transformation. The way trials are being conducted has changed significantly with decentralized clinical trials (DCT) becoming mainstream and the collection of clinical data from wearables and other remote-monitoring devices becoming common practice. While these advances […]
Find out what drives today’s most successful platform businesses
In ‘The enterprise guide to platform thinking: What it can do for your business’, we explore how to achieve platform success and realize the full spectrum of business, operational, and customer value platforms can deliver. Inside, we dive into: – How platform thinking has evolved over the last five years, and the role that cultural, […]
The Buyer’s Guide to Cloud Security Solutions for Startups
Cloud security is a critical consideration, there’s no denying that. From your intellectual property and software services you sell, to sensitive data on customers and users, any threat can put your reputation on the line. While public cloud resources are key enablers of business, they come with the adoption of a shared responsibility model that […]
Editor’s Choice
The insideBIGDATA IMPACT 50 List for Q1 2024
The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.
Big Data Industry Predictions for 2024
Welcome to insideBIGDATA’s annual technology predictions round-up! The big data industry has significant inertia moving into 2024. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives.
Book Review: The Kaggle Book/Workbook
Kaggle is an incredible resource for all data scientists. I advise my Intro to Data Science students at UCLA to take advantage of Kaggle by first completing the venerable Titanic Getting Started Prediction Challenge, and then moving on to active challenges. Kaggle is a great way to gain valuable experience with data science and machine learning. Now, there are two excellent books to lead you through the Kaggle process. The Kaggle Book by Konrad Banachewicz and Luca Massaron published in 2022, and The Kaggle Workbook by the same authors published in 2023, both from UK-based Packt Publishing, are excellent learning resources.
Sponsored Guest Articles
Crafting Precision Content Using Large Language Models
[SPONSORED POST] Our friends over at DAC recently explored the potential of LLMs to interpret or generate text considering numerous parameters with extraordinary precision. They have demonstrated their ability to evaluate unstructured text blocks and grade them along various scales to great success. Additionally, they have been able to generate specific, tailored content using a complex series of instructions that can be tuned with precision to the same set of scales.
The Future-Proofed Datacenter: DDC Delivers 85kW Air-Cooled Density for AI and HPC Workloads
[SPONSORED POST] At DDC, the global leader in scalable datacenter-to-edge solutions, we are taking an innovative approach to building new and retrofitting legacy datacenters. Today, our patented cabinet technology can be deployed in nearly any environment or facility and supports one of the highest-density, air-cooled thermal loads—85kW per cabinet—on the market. In a recent deployment with TierPoint, a US-based colocation provider, we are supporting a 26,000 sq ft facility augmentation outside of Allentown, PA.
Kickstart Your Business to the Next Level with AI Inferencing
The need to accelerate AI initiatives is real and widespread across all industries. The ability to integrate and deploy AI inferencing with pre-trained models can reduce development time with scalable secure solutions that would revolutionize how easily you can capture, store, analyze, and use data to be more competitive.