Every industry and area of technology has its own jargon - the words, phrases, and abbreviations that are largely meaningless to outsiders but common to the people within each sector. In our industry, the difference between two terms often requires clarification: document capture, and intelligent document processing, or IDP. These terms are related, but quite different in their scope.
The perils of legacy technology for government are well known, but in the case of SafeWork NSW they could ultimately lead to a referral to the NSW Independent Commission Against Corruption (ICAC), the state’s corruption watchdog.
The risk of outsourcing personal information handling to third parties is highlighted in the latest data breach statistics, released today by the Office of the Australian Information Commissioner (OAIC).
By 2027, 70% of enterprises adopting generative AI (GenAI) will cite sustainability and digital sovereignty as top criteria for selecting between different public cloud GenAI services, according to Gartner, Inc.
St Vincent's Health Australia Private Hospitals has selected MEDITECH’s Expanse platform as its foundation Electronic Medical Record (EMR) to enhance patient care across its internationally network of 10 private hospitals.
In a recent Gartner poll of over 1,400 executive leaders, 55% revealed active involvement in Generative AI, either in the pilot or production stages. This statistic closely mirrors the trends we've identified within our own customer base.
The heart of the TCG Process mission is helping organizations achieve greater operational efficiency and agility, which is reflected in our priority of delivering future-proof solutions.
Artificial Intelligence (AI) is no longer a distant dream; it’s here, and it’s everywhere – from the latest news headlines to our social media feeds and even in our personal and working lives. In fact, a recent global survey found that 54.6% of organizations are actively engaging and experimenting with AI.
In our digital transformation era, the amalgamation of artificial intelligence (AI) and data governance presents a rich landscape of opportunities and challenges. As organizations continue to leverage AI, including large language models (LLMs), it becomes imperative to scrutinize the potential risks and explore sophisticated solutions.
