Organizations are increasingly looking to the network edge as the center of data-driven operations. As IT architectures grow in complexity and IoT devices proliferate, edge deployments and deep edge computation give organizations the ability to make data-driven decisions in real-time, without relying on cloud connectivity or external servers. Edge AI takes this a step further, leveraging predictive analytics and pattern recognition to automate tasks like anomaly detection and predictive maintenance. Join the Innovations in Edge Computing summit to explore the latest innovations in edge computing and discover how to harness them to optimize real-time data processing, reduce latency for data-intensive applications and bolster security for edge devices and data.
Companies continue to adjust to the post-COVID workplace as they grapple with remote and hybrid work. To buffer the impact of The Great Resignation, workplaces must invest in talent and recruitment solutions to ensure they are targeting the right people for the right job. Employee engagement technology and other HR tools such as payroll solutions can keep your workforce satisfied and productive, but only with the right strategy to orchestrate them. Tune into the HR Strategies: Future-Proofing Your Workplace summit to hear leading experts in the field cover the latest employee engagement technology trends, payroll innovations and tactics to engage and retain your workface for future success.
Top Stories
Mastering the Big 12 Data-driven Economic Concepts October 19, 2024 by Bill Schmarzo The game has certainly changed with the data era, and maybe the most drastic change driven by data has occurred in economics, the foundation upon which our modern society is built and sustained. Understanding and mastering the transition from “traditional” economics to modern data-driven economics has become necessary for survival and growth. Unlike traditional economic principles that focus on scarcity, rivalry, and finite resources, data economics introduces a new landscape where data is abundant, non-depleting, and capable of generating compounding value when harnessed effectively.
How machine learning helps save coral reefs — by listening October 16, 2024 by Zachary Amos Coral reefs are critical ecosystems on the brink of extinction. Today’s artificial intelligence (AI) and advancements in machine learning have enabled experts to identify, monitor and predict coral health. How do they achieve this? They listen.
Closing the gap between open source and closed AI models 15 October 2024 by Esther Ajao and Shaun Sutner Open source AI models are closing the gap in the debate between open and closed models. Since the introduction of Meta Llama generative AI models in February 2023, more enterprises have started to run their AI applications on open source models. Cloud providers like Google have also noticed this shift and have accommodated enterprises by introducing models from open source vendors such as Mistral AI and Meta. At the same time, proprietary closed source generative AI models from OpenAI, Anthropic and others continue to attract widespread enterprise interest.
In-Depth
What is the Modern Data Stack? October 22, 2024 by Ernest Tarango In the rapidly evolving landscape of data management and analytics, the concept of the Modern Data Stack has emerged as a powerful solution to harness the potential of data for informed decision-making. In this article, we will delve into the intricacies of the Modern Data Stack, its components, benefits, and how it is revolutionizing the way businesses handle data.
Revamping prompt augmentation: Multi-agent architecture and LangGraph October 21, 2024 by Jelani Harper The Retrieval Augmented Generation (RAG) paradigm has popularized the notion of supplementing prompts for GenAI models with trusted enterprise data. Many organizations utilize this practice to restrict model outputs to their data, improve the accuracy of responses, and minimize models’ tendencies to deliver fallacious outputs.
Embracing digital twin technology: A smarter approach to manufacturing October 18, 2024 by Asmar Atif Companies today are striving to maximize product quality, efficiency, and security through effective maintenance practices and the care of equipment. In light of Industry 4.0’s advent, manufacturers are increasingly turning to digital twin technology as a predictive and management tool for complex assets commonly found within industrial settings.
Advantages of integrating generative AI with Power Platform October 18, 2024 by Ryan Williamson Generative AI may have emerged recently, but it is already hailed as a mighty effective tool. To do what, you ask. Well, among other things, this tool can produce creative content such as human-quality text and images. Anyway, the point is that this technology has the potential to streamline processes and automate tasks. Then, organizations can use gen AI to open new opportunities and drive innovation across their operations.
Best practices for securing data in cloud services October 17, 2024 by Erika Balla Enterprises often cite security as their prime worry when contemplating cloud services. The notion of housing data or operating applications on an infrastructure that isn’t under their direct control appears innately risky, particularly when data must traverse the public internet to reach these services.
DSC Weekly 15 October 2024 October 15, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
