As retailers strive to meet the growing expectations of shoppers, they are turning to the cloud and GenAI to transform their businesses and tackle opportunities in an increasingly challenging industry. From optimizing inventory management, to increasing collaboration between employees across locations and roles, to helping build omnichannel experiences for customers, Striim is helping to create more cohesive and personalized shopping experiences. Understanding Retail Customer Challenges Demand for Personalized Experiences: Today’s consumers are no longer satisfied with one-size-fits-all solut ..read more

Kramp, a stalwart in the distribution of agricultural spare parts and accessories across Europe, embarked on a transformative journey five years ago with a bold vision to overhaul its data management system. Since then Kramp has made significant strides in integrating advanced technology solutions to enhance their operational efficiencies and customer service.  About Kramp Originating from the Netherlands, Kramp has established itself as a leading distributor in the agricultural sector, not just within its home country but across Europe. With a strong emphasis on logistics, an extensive ..read more

Discovery Health, originating in South Africa, has transcended borders to extend its services to over 40 million customers across more than 40 global markets, encompassing regions in Asia, EMEA, and the Americas. Since its inception in 1992, the company has remained steadfast in its core purpose: “to make people healthier and to enhance and protect their lives.” As a multifaceted financial services organization, Discovery Health operates in various sectors including healthcare, life insurance, short-term insurance, long-term savings, banking, and wellness. Through its diversified portfolio ..read more

Businesses seek solutions that not only enhance operational efficiency but also drive meaningful insights from their data. The integration of siloed business applications into a cohesive digital ecosystem presents one of the most significant challenges in this transformation. A 2022 survey by Deloitte and MuleSoft highlights that 38% of organizations identify the integration of siloed business software applications as the primary barrier to their digital evolution. This underscores the necessity for innovative, seamless integration solutions that can bridge the gap between various data sources ..read more

Enterprises in the U.S. deploy an average of 105 applications, with new applications continuously being adopted. This explosion in cloud application use has led to significant challenges in data integration and the delivery of insightful data to stakeholders. Recognizing these challenges, Striim, a leader in real time intelligence for AI and change data capture (CDC) from databases, has introduced a comprehensive solution: Striim Cloud for Application Integration. What is Striim Cloud for Application Integration? Striim Cloud for Application Integration is a fully managed, unified data integra ..read more

28% of enterprise applications are integrated, a recent study by Microsoft and MuleSoft found, highlighting a significant challenge for businesses aiming to effectively utilize their vast application ecosystems. Striim Cloud for Application Integration provides a crucial solution to this issue, designed to improve the connectivity and usefulness of these applications by enabling their smooth integration into Google Cloud’s BigQuery. Focused on delivering real-time intelligence for AI and leveraging change data capture (CDC) from databases, Striim’s approach addresses the urgent need for thorou ..read more

Predictive maintenance in the aviation industry represents a significant departure from traditional approaches. It relies on data analytics, machine learning (ML) algorithms, and real-time monitoring to predict potential failures in aircraft components before they occur. This proactive strategy contrasts sharply with the reactive nature of scheduled maintenance or component replacements based on predetermined intervals. With the relentless pressures of minimizing downtime, ensuring safety compliance, and optimizing operational efficiency, airlines are increasingly turning to innovative solutio ..read more

Artificial intelligence (AI) uses information to make important choices in different industries. Just like a tall building needs a strong plan and base, successful AI requires good data models. While traditional business intelligence and reporting use cases allow some margin of error, hallucinating AI in customer experiences can be costly for a brand. So how do we create these models for complex algorithms and systems? Organizing, storing, and accessing data is important for AI. It affects how well AI programs and apps work. Incorporating AI into data modeling relies on fundamental techniques ..read more

The aviation industry is currently undergoing a technological transformation due to increased demands of the customer in the digital and AI age. This transformative wave is redefining operational paradigms and passenger experiences alike. The airline industry has witnessed significant advancements by implementing AI and data integration, making it a leading example for other companies to follow. Overcoming Integration Challenges Adopting a data-driven culture is pivotal for airlines aiming to leverage technology for operational and service excellence. This shift towards data-centric decision-m ..read more

Every second on the tarmac counts. The ability to swiftly turn around planes not only determines an airline’s efficiency but also impacts passenger satisfaction and operational profitability. This blog delves into the transformative role real-time data analytics plays in streamlining ground operations, reducing delays, and boosting overall efficiency in the aviation industry. The Need for Speed in Aviation Turnarounds Plane turnaround time – when an aircraft lands to when it takes off again – is a critical metric in aviation. It involves numerous ground operations, including passenger disembar ..read more