Big data

Industrial organisations are opting for Cloud, Digital Twin, Artificial Intelligence (AI) and automation technologies to address the complexities of today’s challenging macro-economic environment. This is according to AVEVA, a global provider in engineering and industrial software.

Aruba, a Hewlett Packard Enterprise company, today announced significant enhancements to Aruba ESP (Edge Services Platform) that unifies IoT, IT, and Operational Technology (OT) networks to enable customers to quickly adapt to changing environments and user requirements. Aruba ESP is the first fully programmable platform to generate contextual information – about identity, location, security posture, and applications

Things on Net Co. Ltd (TON), a trusted IoT solutions provider with communications technology, has pointed to Big Data-IoT is the key to shaping the post-pandemic “New Normal” as businesses and industries recover.

At this point in history, the digital revolution has turned nearly every industry upside-down in one way or another. The disruptions are clearly visible in industries like retail, where the rise of eCommerce has changed everything, and in media, where nearly every outlet has been challenged and disrupted by digitisation, says Mark Broadly, a Journalism

As use of AI becomes even more pervasive, data scientists and organisations just ‘doing their best’ won’t be sufficient. Scott Zoldi, AI expert at FICO explains that with the rise of AI advocates, responsible AI will be the expectation and standard.

UltraSoC reports that its embedded analytics technology has been selected by SimpleMachines, Inc (SMI) for use within SMI’s innovative Composable Computing Platform.

Technology has a history of helping to track and treat viruses. And, with the World Health Organisation (WHO) declaring COVID-19 a global pandemic, people are rightly asking themselves how new technologies such as the Internet of Things (IoT), artificial intelligence (AI), and Big Data can be employed to slow down the proliferation of pandemics and

Demand for Internet of Things (IoT) solutions in healthcare is rising as healthcare systems around the world race to adopt the latest remote monitoring tools, devices and technologies that enable more efficient disease tracking, early diagnosis and treatment.

Today, there are around 26.66 billion Internet of Things (IoT) devices in the market and the number is projected to rise to 75.44 billion devices by 2025. With the rapid proliferation of IoT devices, more connected mobile apps will be required to allow users to access devices from anywhere over the internet.

IIoT (Industrial Internet of Things) is misunderstood by most small and mid-sized manufacturers who neither have the funding nor the inclination to gather, cull, and use big data. What these organisations need is to preserve thin margins to survive (and hopefully thrive).

Technology experts are increasingly working together to solve customer problems, Here Rob Lamb, client principal and CTO Officer at Dell Technologies,

MachNation, a testing and benchmarking firm for IoT platforms, has launched MIT-E Performance (MIT-E Pf).

In western Europe you may think of security of power supply in terms of keeping the regulator happy and avoiding fines. In the extreme cold of Russia and Kazakhstan says Jeremy Cowan, the focus is on saving lives by avoiding unexpected shutdowns in power generation. 

IIoT (Industrial Internet of Things) has ushered in a new era of efficiency and intelligence for the manufacturing industry.

Experienced executives in many sectors will tell you that today they face their toughest business challenges ever. Even leaders in successful and well-established enterprises are concerned at what the third decade of the millennium holds for them. Lean new competitors are entering the market, they enjoy lower operating expenses and are using disruptive technologies to tear up the rule

Industry analysts Jim Morrish and Matt Hatton have announced the launch of their latest venture, Transforma Insights, a technology industry analyst firm focused on enterprise adoption of new technologies.