data governance

As enterprises strive to produce results rapidly in a dependable and sustainable manner, the significance of the underlying data becomes paramount. A major challenge in managing this data is the diverse set of capabilities required within a data architecture. It's important to consider not only the time needed to integrate various data integration and management capabilities for a seamless experience but also how these processes vary across different segments of the organization. Moreover, with the emergence of new…

Generative Artificial Intelligence (AI) has emerged as a transformative technology with vast potential for innovation across various sectors. However, the widespread adoption of generative AI raises significant concerns regarding privacy, fairness, and accountability, particularly in data sharing.  This article explores policy approaches to foster collaboration while safeguarding privacy in generative AI. We examine the fundamentals of generative AI and data-sharing practices, highlighting the ethical and societal…

Image: Adobe/Andrii Global data highlights a concerning trend, where Australian organisations are starting to fall behind in a “trust gap” between what customers expect them to do with data and privacy and what is actually happening. New data shows that 90% of people want to see organisations transform to properly manage data and risk. With a regulatory environment that has fallen behind, for Australian organisations to deliver this, they will need to move faster than the regulatory environment. Australian…

Since late 2022, generative AI has quickly demonstrated its value and potential to help businesses of all sizes innovate faster. By generating new media from prompts, generative AI stands to become a powerful productivity aid, multiplying the effect of creative and intellectual work of all kinds. According to Gartner, 55 percent of organizations have plans to use generative AI and 78 percent of executives believe the benefits of AI adoption outweigh the risks. The world will be transformed by AI-assisted medicine,…

Across Australia, much of the focus to date has been on understanding artificial intelligence’s role in each sector and taking those first steps towards adoption. It was a year of experimentation and exploration. But where 2023 was the year where AI exploded into mainstream consciousness, 2024 looks like it will be a more reflective year, bringing regulation from the Australian government as pressure from consumers forces companies and IT teams to step back and have a proper look at the ethical implications…

About 42% of enterprise-scale companies report having actively deployed artificial intelligence in their business and of those, 59% have accelerated their rollout or investments in the technology, according to IBM’s Global AI Adoption Index 2023. Enterprise-scale refers to companies with more than 1,000 employees. “More accessible AI tools, the drive for automation of key processes, and increasing amounts of AI embedded into off-the-shelf business applications are top factors driving the expansion of AI at the…

The first impression most of us have about AI is likely from the sci-fi movies where robots overpower humans. Remember the films like “Terminator” or novels like “Robopocalypse”? Given the pace of development in the space of AI, we are witnessing the gap between fiction and reality closing day by day.  In fact, we have witnessed the initial phase of the AI evolution — from rules-based to the latest generative AI. According to a recent study by McKinsey, AI is expected to add $13 trillion to the global economy by 2030.…

In the modern digital epoch, the importance of data management can hardly be overstated. Data is no longer just an operational byproduct but the lifeblood of organizations, fueling everything from strategic decisions to customer interactions. However, in this race for data-driven insights, data privacy often emerges as the jigsaw piece that doesn't quite fit. The recent uptick in consumer awareness, enabled by social media and news cycles, further adds to the urgency surrounding data privacy issues. High-profile data…

In today's data-driven world, the rapid advancement of artificial intelligence (AI) and large language model (LLM) applications like ChatGPT has brought unprecedented opportunities and challenges. As AI systems become increasingly integrated into our daily lives, it is important to understand the ethical considerations that come with using LLM applications. This article aims to delve into the realm of ethical AI and responsible data science, exploring key concepts, challenges, and emerging solutions. By referencing some…

In the previous article, we discussed the emergence of Date Lakehouses as the next-generation data management solution designed to address the limitations of traditional data warehouses and Data Lakes. Data Lakehouses combines the strengths of both approaches, providing a unified platform for storing, processing and analyzing diverse data types. This innovative approach offers flexibility, scalability, and advanced analytics capabilities that are essential for businesses to remain competitive in today's data-driven…