Data is the fuel of modern engineering. Yet many organizations still struggle with silos, outdated files, and fragmented systems that slow down progress and innovation. In this guide, we explore how to streamline engineering data management—from strategy and governance to tools and cloud infrastructure. Whether you're dealing with massive CAD files or real-time IoT streams, this article shows you how to get your data under control and working for you.

Discover how a leading financial services firm leveraged advanced AI-driven proposals and an innovative Smart Wallet application to accelerate client acquisition, enhance stakeholder satisfaction, and secure a distinctive competitive edge.

Leon Ginsburg, CEO at Sphere, shares his perspective on how 2025 will be a defining year for digital transformation. From bridging talent gaps to leveraging AI-driven solutions, Ginsburg highlights the critical factors shaping success, the risks of falling behind, and why ROI-driven tech investments will set leaders apart from laggards.

A specialized healthcare organization transformed its data governance and compliance with Sphere's team. By building a secure Azure-based infrastructure, automating compliance workflows, and deploying real-time analytics, the organization achieved full regulatory compliance, improved data accuracy, and enhanced operational efficiency.

Sphere partnered with a major entertainment venue to modernize its event planning through predictive analytics, real-time reporting, and cloud-based data infrastructure. By centralizing data on Azure, automating workflows, and integrating predictive models, the organization improved event profitability, operational planning, and visitor experiences.

Sphere partnered with a premier luxury sports car experience provider to modernize its data infrastructure, addressing manual workflows, data silos, and scalability challenges. By migrating to a cloud-based environment and implementing automated ETL pipelines and real-time Power BI dashboards, the company significantly improved operational efficiency, decision-making, and scalability.

Is your team juggling disconnected tools for collaboration, storage, and communication? Discover how migrating from Dropbox to Microsoft 365 can revolutionize your workflows with integrated tools, enterprise-grade security, and unmatched scalability. Say goodbye to siloed systems and hello to seamless productivity.

Predictive analytics in healthcare is revolutionizing patient care by providing data-driven insights that allow healthcare professionals to anticipate medical issues and make proactive decisions. By identifying at-risk patients, optimizing hospital resources, and preventing costly equipment breakdowns, predictive analytics plays a key role in improving patient outcomes and reducing healthcare costs. Explore how hospitals and healthcare providers are using this technology to deliver personalized treatments, reduce readmission rates, and streamline operations. Learn how predictive analytics is driving the future of healthcare by enhancing patient care and operational efficiency.

Stepping into the future with Digital Twins technology offers businesses an unparalleled advantage in operational efficiency and strategic foresight. At Sphere, we specialize in crafting bespoke Digital Twins solutions that not only replicate but also enhance your physical assets through real-time data and predictive analytics. Dive deeper into how our innovative approaches are helping industries from manufacturing to healthcare not just compete but dominate in their sectors.

In a significant move towards enhancing operational efficiency and patient care, the conference showcased how Generative AI is being adopted within clinical settings. Experts like Sarah McKinley MD demonstrated Dyna AI's impact in reducing clinical response times by 20%, heralding a new era of intelligent healthcare solutions. Simultaneously, discussions led by Jessica Hauflaire emphasized the critical role of integrating clinical data to support value-based care, ensuring a comprehensive approach to patient management.