In a dynamic business landscape, data initiatives thrive when approached through “tiny projects” focused on human-centered design, rather than grand strategies. These manageable efforts foster empathy, showcase quick wins, and encourage collaboration, ultimately leading to a robust data culture. Successful small projects help gain buy-in for larger initiatives, promoting sustained organizational growth.
Managing AI prompts can be chaotic, but several open source tools offer solutions. Options like Snippets AI, Latitude, E.D.D.I, Dakora, and others provide features for organizing, testing, and sharing prompts. These platforms enhance collaboration, streamline workflows, and support various use cases, making prompt management efficient and less overwhelming for users.
Azure Ultra Disk, launched in 2019, has transformed cloud block storage for demanding applications like financial trading and health records. It offers independent configuration of capacity, IOPS, and throughput for tailored performance. Recent updates enhance speed, resilience, and cost efficiency, empowering organizations to streamline operations and quickly recover from disruptions.
The author describes developing a self-adaptive system for AI agents managing complex software projects. Unlike traditional frameworks, which require predefined tasks, this new approach allows agents to create tasks dynamically across phases based on discoveries. This process leads to a branching workflow that evolves in real-time, improving efficiency and adaptability.
Gartner’s 2026 strategic technology trends highlight the importance of AI integration across various domains. Key trends include AI-native development platforms, AI supercomputing, and multi-agent systems, all enhancing productivity and security. The report also outlines IT predictions, emphasizing the need for organizations to adapt to an evolving, AI-driven landscape for competitive advantage.
Covestro Deutschland AG, a global leader in polymer materials, transformed its data architecture from a centralized data lake to a decentralized data mesh using Amazon DataZone and AWS Serverless Data Lake Framework (SDLF). This shift enhanced data access, quality, governance, and collaboration, reducing time-to-market by 70% and enabling over 1,000 data pipelines.
Cloud computing is essential for enterprise innovation, providing scalable, secure, and cost-effective solutions. A comprehensive cloud strategy supports agility and productivity, enabling organizations to optimize resources and enhance competitiveness. Key considerations in cloud adoption include performance, security, and compliance, while emerging trends emphasize automation, sustainability, and real-time monitoring for future success.
The author reflects on the complexities of using AWS for deployment, highlighting frustrating, convoluted processes compared to simpler alternatives like Vercel. They critique AWS’s user experience, noting generational shifts in developer preferences towards less painful platforms. As newer developers emerge, the intricate navigation of AWS may lead to its decline in relevance.
Cloud computing is essential for modern enterprises, providing scalable and secure infrastructure to enhance innovation and efficiency. This guide emphasizes strategic cloud service selection, focusing on performance, security, and compliance. It explores cloud architecture options, highlights the advantages of cloud adoption, and suggests best practices for successful implementation and long-term sustainability.
Hybrid workers expect greater flexibility, accessibility and security, while businesses grapple with meeting these increased technology demands. These are among the findings from Cisco’s first Hybrid Work Index (HWI) based on millions of aggregated and anonymous customer datapoints.
The connected society may not have been the sole reason for the evolution of mobile devices, but it is fair to say that phones with internet connectivity are the preferred option. Smartphones are everywhere in today’s fast-paced world and there is a consensus that people are spending a significant amount more time interacting with the ubiquitous computer in their pocket.
Change has been the driving factor in the mobility space and will continue to define the sector. Increased activity and exponential growth across several nontraditional areas of mobility can be expected over the next ten years
IoT has empowered technology gadgets to customize themselves as per user preference and become an internal part of their lifestyles. This has also enabled innovation amongst the scope of these gadgets’ functionalities, leading to their multi-fold increase and usage.
Most engineers – who have not built mobile apps – assume the mobile app is a simple facade that requires less engineering effort to build and operate. Having built both types of systems: this is not the case. There is plenty of depth in building large, native, mobile applications – but often little curiosity from people not in this space. Product managers, business stakeholders, and even non-native mobile engineers rarely understand why it “takes so long” to ship something on mobile
By Gergely Orosz
