Topic: data management

In the evolving landscape of data management, age-old approaches are gradually being outpaced to match the demands of modern organizations. Enter as a savior: Data Mesh, a revolutionary concept that modern organizations harness to reshape their business models and implement “data-driven decisions.” Therefore, understanding and implementing Data Mesh principles is essential for IT professionals steering this transformative journey. At its core, data mesh is not just a technology but a strategi...

Data Management In today's digital age, data is a critical asset for organizations, driving decision-making, innovation, and competitive advantage. However, the sheer volume and complexity of data require specialized skills and expertise to manage effectively. Enter the data management specialist, a key player in ensuring that data is accurate, accessible, and secure. This article explores the role of a data management specialist, their responsibilities, skills required, and the evolving landsca...

As we have stepped into the digital world, data science is one of the most emerging technologies in the IT industry, as it aids in creating models that are trained on past data and are used to make data-driven decisions for the business. With time, IT companies can understand the importance of data literacy and security and are eager to hire data professionals who can help them develop strategies for data collection, analysis, and segregation. So learning the appropriate data science skills i...

As we have stepped into the realm of 2024, the artificial intelligence and data landscape is growing up for further transformation, which will drive technological advancements and marketing trends and understand enterprises’ needs. The introduction of ChatGPT in 2022 has produced different types of primary and secondary effects on semantic technology, which is helping IT organizations understand the language and its underlying structure. For instance, the semantic web and natural language pro...

Data has always been at the core of a business, which explains the importance of data and analytics as core business functions that often need to be addressed due to a lack of strategic decisions. This factor gives rise to a new technology of stitching data using data fabrics and data mesh, enabling reuse and augmenting data integration services and data pipelines to deliver integration data. Further, data fabric can be combined with data management, integration, and core services staged acro...

Could you share a couple of customer examples where Stibo Systems’ solutions have significantly contributed to their growth and efficiency? How did multi-domain MDM play a role in this? Stibo Systems has a robust customer base of about 600, and each customer has had results using our solutions. We help with data operations and internal efficiencies around managing data, but more importantly, we help them scale their business and drive business value. Most of our customers are billion-dollar-p...

In the early 2000s, many companies and SMEs had one or more C-suites that were dedicated to handling the IT security and compliance framework, such as the Chief Information Security Officer (CISO), Chief Information Officer (CIO), and Chief Data Officer (CDO). These IT leaders used to team up as policymakers and further implement rules and regulations to enhance company security and fight against cyber security. But looking at the increased concerns over data privacy and the numerous techniqu...

We believe that the journey of developing software is as tough as quality assurance (QA) engineers want to release high-quality software products that meet customer expectations and run smoothly when implemented into their systems. Thus, in such cases, quality assurance (QA) and software testing are a must, as they play a crucial role in developing good software. Manual testing has limitations and many repetitive tasks that cannot be automated because they require human intelligence, judgment...

In recent years, automation and artificial intelligence (AI) have witnessed a surge in popularity, and it’s anticipated to expand as organizations become more dependent on AI solutions to address issues. Numerous tech giants, like Amazon, Apple, and Alibaba, have already started to explore the possibilities of implementing AI and robotics in their organizations. The introduction of robots into the workplace is set to alter how C-level decision-makers will do business, as they need to share sp...

In the ever-evolving landscape of technology, the rise and implementation of hybrid cloud computing solutions have become pivotal in reshaping the future of IT infrastructure. As large-scale businesses strive to increase efficiency, reduce latency, and enhance stability, IT professionals adopt this dynamic technology. Cloud technologists believe hybrid clouds may be better for operational efficiency, security, faster application development, improved business insights, and better resiliency. ...

In the ever-evolving world of retail, the holiday season presents unique challenges and opportunities for retailers. As consumer exertion surges, retailers have to be interactive with their customers, both online and in-store. To meet such demands effectively, embracing interactive and unified technology solutions is a strategic imperative for retailers to meet customers’ expectations and generate more sales. This article delves into the crucial aspects of interactive and unified technology in h...

AI and AIOps have been transforming the future of the workplace and IT operations, which accelerates digital transformations. The AIOps stands out as it uses machine learning (ML) and big data tracking, such as root cause analysis, event correlations, and outlier detection. According to the survey, large organizations have been solely relying on AIOps to track their performance. Thus, it is an exciting time for implementing AIOps that can help software engineers, DevOps teams, and other IT profe...