The international hotel chain Omni Hotels & Resorts has confirmed that a cyberattack last month saw it shut down its systems, with hackers stealing personal information about its customers.

In the aftermath of the attack, hotel guests reported that they had been forced to check in on paper, that room keys didn't work, and all phone systems and Wi-Fi were offline.

Any organisation that has tried to recover from a ransomware attack knows that it can be time-consuming and costly. Companies hit by an attack must choose between paying a ransom or recovering encrypted data from a backup.

Unfortunately, ransomware gangs are too aware that they can leverage significantly higher ransoms from their corporate victims if they have also compromise the company's backups. For this reason, we are seeing more and more cyber attacks targeting backups because they know that organisations desperately need them to recover if they want to avoid paying a ransom to cybercriminals.

In the space of just a few short years, Artificial Intelligence (AI) has gone from being a somewhat niche field, to front and centre in the public consciousness. With the rise of ChatGPT and similar platforms, there is much speculation about where this technology is heading, and what its impact will be on our personal and professional lives. Indeed, organisations across numerous sectors are already exploring the different ways it can be utilised to reduce costs, optimise efficiency, and improve service quality.

Selecting the right storage architecture is essential for organisations that are leveraging Artificial Intelligence (AI), Machine Learning (ML), Big Data and IoT analytics. For example, AI applications that involve scientific and medical research create and interact with numerous large files, and therefore need a storage system that can scale to a petabyte level, with zero restrictions. Similarly, ML applications and Big Data projects require a scalable, cost-effective storage solution to accommodate the high volumes of data that will be produced. This raises the question of which storage solution enterprises should use to underpin their overall analytics strategies.

We see over and over again how COVID-19 is transforming the way we work and connect with each other. Employees across virtually every industry are now working effectively from home, even if such an arrangement would have been unthinkable at the start of this year. It's been extremely heartening to see the range of innovations that have been embraced in response to the crisis, but it's important not to forget the foundations of your IT infrastructure as you explore these solutions. For example, consider how you are backing up and storing the lifeblood of your organisation: your data.

With research from the IDC estimating that 80% of the data created by 2025 will be unstructured [1], businesses need to ensure they have an affordable storage solution for such high volumes of data. A simple, cost-effective solution that businesses can utilise to this effect is Cloud Object Storage, which stores petabytes of data in the Cloud as 'objects'.

The healthcare sector generates higher volumes of patient data on a daily basis than ever before - all of which conceals a rich vein of opportunities to optimise efficiency and enhance patient care. The demand for more efficient diagnosis and more effective management of data has naturally led to the rise of digital pathology and - in turn - the Picture Archiving and Communication Systems (PACS) that underpin these initiatives.