Secure Access Service Edge (SASE) is rapidly establishing itself as the solution of choice for the next generation of enterprise networks, where optimal control, visibility, and scalability are essential. In the first quarter of 2024 alone, the SASE market experienced a 23% surge, as more and more organisations began taking advantage of its capabilities.
On the morning of 12th September 2024, the UK Health Secretary, Wes Streeting, pinpointed three 'big shifts' that would be required to transform the NHS:
- From hospital to community care
- From analogue to digital
- From treating sickness to preventing it
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.
Effective manufacturing workflows are all about doing things more efficiently - from the simplest tasks to the most complex. While this is an ostensibly simple concept, the increasingly interconnected, global nature of modern manufacturing workflows hides a number of challenges, with even the briefest period of downtime potentially costing thousands of pounds, particularly during periods of increased consumer demand.
However, the increasing sophistication of artificial intelligence (AI) and 'smart' technologies offers a rich vein of opportunities here, allowing routine processes to be automated, where possible and appropriate. Not only will this significantly improve the overall efficiency of manufacturing processes, if successfully executed, it will lead to long-term cost savings and free staff to focus their attention on activities that will lead to fresh innovations and sustainable business growth.
With that in mind, let's consider where AI-powered automation can be of most use across manufacturing workflows…
Streamlined, proactive maintenance processes
The rollout of interconnected sensors at manufacturing sites ensures any faults can be automatically tracked, identified, and escalated to the appropriate team, ensuring the resulting downtime can be kept to the absolute minimum. Beyond ensuring a swift response to any unexpected faults, collating the data generated by these sensors and applying machine learning technologies will allow any trends to be identified and routine maintenance processes adapted accordingly, helping to resolve potential faults before they occur and ensuring costly downtime can be avoided altogether.
And, as a bonus, this will help reduce machines' energy consumption in the long term, further reducing costs and bringing manufacturers another step closer to achieving their environmental goals!
Stress-free quality control
Maximum control and visibility of global supply chains
Developing safer factory floors
Finally, amidst all the excitement about the possibilities offered by AI, let's not forget the people who continue to drive effective manufacturing operations! The smart sensors deployed across factory floors can be complemented with wearable sensors for employees. This will ensure the risk of injury from machinery is minimised, while simultaneously supporting wider health & safety initiatives, and thus helping maintain a safer working environment. For example, in environments where employees may be required to lift heavy objects, the data generated by the wearable sensors can be used to avoid injuries by ensuring correct procedures are followed when doing so.
This is all just scratching the surface of what AI-powered automation can potentially offer manufacturers. Leaders across the industry are already exploring the full potential of these technologies, with the support of trusted technology partners, so new opportunities and innovations are sure to keep revealing themselves in the months and years ahead. As we're already seeing in our own ongoing work with manufacturers across the UK, the rise of AI shows no signs of slowing down, so don't hesitate to contact us if you'd like to discuss how it can transform your own operations. It's an exciting time for the entire sector, and we look forward to exploring it with you!
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: