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.

The Finance sector has always been one of the most dynamic, rapidly evolving industries, and this shows no signs of changing any time soon. But while shifts in the landscape may well open new opportunities, they will also come with new challenges, and it is the organisations who are ready and able to face these head-on who will continue to thrive in the years ahead.

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.

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.

When it comes to building brand loyalty, customers increasingly expect the retailers they shop from - whether that's online, in person, or via click-and-collect - to demonstrate tangible efforts to operate in an ethical, sustainable, and environmentally friendly manner in everything they do.

Manufacturing workflows are evolving at an unprecedented rate, and the trend shows no signs of slowing down. The increasing effectiveness and affordability of 'smart' technologies and the Internet of Things means IT and OT are increasingly interconnected, with increasing volumes of data flowing between sites and devices on an ongoing basis.

Like many fixtures of our lives, Britain's pubs were heavily impacted by COVID-19, with their familiar patrons unable to come in for a post-work drink, or meet with friends at the weekend. But while it was undoubtedly a difficult period for the industry as a whole, this great British institution did as it has always done, and adapted to suit its patrons' evolving requirements.

Like many longstanding institutions, Britain's world-renowned pubs are undergoing their own digital transformation journey, utilising leading-edge technologies to offer truly personalised experiences to patrons of all ages and backgrounds - from longstanding regulars visiting for their usual pint, to families looking for a meal, and young professionals working on the go. It's an exciting time for the sector as a whole, but at the same time, the drive for modernisation must not come at the expense of patrons' safety and enjoyment.

In 2019, we worked with a customer who owns and operates a mine in Mozambique to help them identify their key business objectives and advise them on how to succeed on these. Throughout our discussions with them, we defined the below key objectives: