For organisations hampered by limited data intelligence, manual workflows in distributed work environments, and talent shortages that limit customer-centric innovation, the need for robust and flexible data management solutions has never been greater. These solutions must unify, operationalise, protect, and activate information stored in physical and digital unstructured and structured data.
Remember the not-too-distant past, when AI was less a utility and more of a buzzword about the future of tech? Well, that future is now, and AI has become an integral part of operations in nearly every industry. As with all innovation, adopting this new tech comes with its own headaches.
A new survey finds that fear of missing out (FOMO) plays a big factor in artificial intelligence (AI) investment, with 73% of Australia IT leaders reporting they are worried their company will be left behind if they don’t use it.
A final report on the Australian Government’s 6-month trial of Copilot for Microsoft 365 (M365), which concluded in June, is expected to be completed by August 31, according to the Digital Transformation Agency (DTA).
This year has been pivotal for Generative AI (GenAI) adoption, with a significant acceleration in technology integration. The Asia-Pacific region now expects a substantial increase in technology spending, driven by the rising demand for artificial intelligence.
The Active Archive Alliance has released a report, “How Active Archives Support Modern AI Strategies.” New artificial intelligence (AI) workflows are creating massive and persistent volumes of data that necessitate long-term retention and protection. Active archives help make AI workflow data easily accessible, searchable and retrievable on whatever storage platform or media it resides.
Less than two years ago, the launch of ChatGPT started a generative AI frenzy. Some said the technology would trigger a fourth industrial revolution, completely reshaping the world as we know it.
With the rise of remote work, enterprises face three common problems: information management, security, and collaboration. Enterprise Content Management (ECM) software has been the go-to solution for businesses. However, challenges like unexpected downtime or the inability to track user activity can still derail projects and bring work to a standstill.
The Deloitte AI Institute has unveiled the third quarterly edition of its State of Generative AI in the Enterprise report, revealing the current landscape of GenAI adoption and deployment and how organizations are overcoming barriers to create value at scale.
Telstra is underway with Australia's largest deployment of generative AI, with Copilot for M365 being made available to 21,000 of its staff. It is also one of the largest rollouts by any telecommunications company globally, the company claims.
