The war between Russia and Ukraine has highlighted a number of potential weaknesses from energy security and in supply chains of chip set supplies and commodities such as food, to the exploitation of IT, through cyber-attacks and cyber-espionage. The latter can be a strength too, as new technologies have been tested in the conflict by, for example, Ukraine, to oust Russian forces from their territories. These include autonomous and unmanned aerial vehicles (UAVs), the use of artificial intelligence for data gathering to enable "precise strikes and effective surveillance and reconnaissance, which can – at least in part – be attributed to the knowledge which the Ministry of Defence of Ukraine is receiving from the western allies"; and the use of satellites such as Elon Musk's Starlink by Ukraine to attack Russian positions. Key to the success in the conflict is Positioning, Navigation and Timing (PNT). "The ongoing Russia-Ukraine war has exposed the importance of resilient PNT for a nation's safety and security. It has opened up doors to discussions on the fragility of GPS signals that can cost millions of human lives, when data is available to an enemy entity", writes Nibedita Mohanta for Geospatial World in her article, 'Why PNT is vital for national security?'.

Bridgeworks CEO, David Trossell features in and gets the cover of TaaS Magazine to discuss the importance of WAN acceleration in the industry of autonomous vehicles and planning for the future of data management in the automotive industry. Self-driving cars still have a long way to go before they become commonplace on public roads around the world. However, in the meantime all kinds of businesses are having to adapt to using artificial intelligence. David Hughes, founder and CEO of Silver Peak writes in an Information Age article: "While self-driving cars still have some way to go, AI is already having a significant impact on the way IT runs enterprises. Businesses are making the transition from being automated to autonomous, where machine learning and AI make it possible to create a'self-driving' wide area network (WAN)."

There are many predictions about connected and autonomous vehicles, some of them suggesting that fully autonomous, levels 4 and 5 vehicles will begin to become commonplace on public roads from 2025. A study by Vynz Research says the global connected and autonomous vehicle market size was 17.7 million units in 2019; and it predicts that this will reach 51.2 million units by 2025 – a compound growth rate of 17.1% during the period of 2020 to 2025.At present, most vehicles aren't fully autonomous, yet still increasingly rely upon data to operate. With their emergence will be a growth in data. Rich Miller writes in his article for Data Center Frontier, 'Rolling Zettabytes: Quantifying the Data Impact of Connected Cars': "The Automotive Edge Computing Consortium (AECC) is working to help stakeholders understand the infrastructure requirements for connected cars. At Edge Computing World, AECC board member, Vish Nandlall, outlined the group's findings on the volume of data created by autonomous cars and the challenges they will create."

Bridgeworks CEO, David Trossell speaks to Digitalisation World about WAN, SD-Wan and WAN Optimimisation Trends for 2021. It's often advisable to look back before stepping forward. While the adage is that history often repeats itself, hindsight is still an invaluable tool, as it allows us to learn from our mistakes. The key to success is then to apply the lessons that have been learnt. The WAN, SD-Wan and WAN Optimisation trends of 2020 can therefore enable us to make adjustments and improvements – even during the current Covid-19 pandemic.

Bridgeworks CEO, David Trossell features in this article on IT PRO PORTAL about healthcare IoT and how AI data acceleration is the next security trend. A look at how to build healthcare around the Internet of Things, Artificial Intelligence and Machine Learning with the support of WAN data acceleration. Over the next decade, healthcare is expected to see a huge amount of technological change. Artificial intelligence (AI) and the Internet of Things (IoT) are expected to play a huge role. 'Building the Hospital of 2030', a report by Aruba, owned by Hewlett-Packard argued that the healthcare industry will need to embrace digital transformation in healthcare.

David Trossell, CEO Bridgeworks speaks to Digitalisation World on topics of platforms, devices, concepts and developments, infrastructure and the impact of Artificial Intelligence/AI and machine learning for GDPR compliance. There is an overarching fear that Artificial Intelligence (AI) and Machine Learning are going to take over people's jobs, but there is a counter argument that their main purpose is to support humans as enabling technologies. However, organisations that don't train up their staff now to learn new skills may find themselves left behind. This includes IT, which is of increasingly strategic importance to most organisations today. Both technologies are becoming a fundamental part of our lives, and with the advent of semi-autonomous and autonomous vehicles they will become more so – both in consumer and enterprise applications.

Our USP in the PR market is to research to find the next influential technology and business leader who can support POC data to the media. In today's digital thunderstorm of news, publications, are more than ever, reliant on the principles of journalism. That is why we are excited to announce we have been nominated for Best Integrated Agency in the 2019 Prolific London Awards. Our mission to create dynamic client campaigns through digital innovation, keeps us at the forefront of leading business and technology media conversations and we are proud to share this nomination with our dedicated international team. Our work with UK based WAN Data Acceleration company Bridgeworks Ltd., has produced a thriving external communications strategy to attract multi-million dollar business contracts in global markets like the US, Europe and South Africa.

Bridgeworks CEO, David Trossell features in this recent article from Forbes, about why data driven chatbots are seeking security in new technologies like award winning data acceleration application, WANrockIT. Which jacket looks better on me, the blue or the black one? Most of us have asked this question of a good friend or family member on a shopping spree. Now, Amazon Echo users can shoot the same question to an AI-powered chatbot even if they are shopping online. This is just one example of visual chatbots entering the ecommerce domain.

David Trossell, CEO and CTO of Bridgeworks explains to Information Age how AI and machine learning can be used to accelerate WAN infrastructure. In turn, this will accelerate your data, reducing data transfer times down from days, to hours and minutes. Pure Storage claims that it has developed the IT industry's first integrated AI-ready infrastructure for deep learning. That may be true, but artificial intelligence (AI) is not new – far from it. There are many phrases that marketers can use to make even an old piece of technology sound completely brand new, or to place a vendor on the first rung of any given market's ladder; but, in actuality, it may mean that they're not the first.

In this piece, we speak to ITProPortal about the overarching fear that AI and Machine learning are going to take over people's jobs and the counter argument. Humans make mistakes – that's part of our nature, and by using AI and machine learning the risks associated with human intervention can be removed, which could include unexpected network downtime due to the poor manual configuring of a wide-area network (WAN). Thankfully, the concepts of AI and machine learning in IT networking are not science fiction. Rather than making us weaker, they can make us stronger and enable us to increase our performance. They are no Armageddon; they are an enabler that can permit organisations to do more with fewer resources.