Always Connected

| March 1, 2016

article image
"In asset-intensive industry sectors, the promise of connectivity should be difficult to ignore. In sectors where project-based working – long-term and ad hoc – is the norm, there is significant potential value to be derived from an ‘Always Connected’ approach. And in industries where partnerships with other organisations are essential to delivery, connectivity is proven to create efficiency and effectiveness. The opportunities, while great, come at a time of significant upheaval – economic volatility, dramatic demographic change and increased pressure on natural resources to name but three challenges faced."

Spotlight

Monstar Lab, Inc

Monstar Lab Group is a global digital product development agency, specialising in bespoke enterprise-level projects. The Group employs a range of experts suited to assist their clients through each phase of the development journey: business strategy, planning, design, coding, testing, deployment, growth hacking, and maintenance.

OTHER ARTICLES

A three-step approach to successful IoT adoption

Article | March 11, 2020

Most would agree that the adoption rate of the Internet of Things (IoT) has fallen well short of predictions. Given the proven benefits that the IoT can deliver, such as preventative maintenance and real-time asset management, it’s confounding that every company isn’t well on its way to leveraging IoT. There are far more attempts to adopt the IoT than successes, says Terri Foudray, founder and CEO of Rumble, as well as several reasons that the IoT is not meeting or exceeding adoption forecasts. The culprits behind adoption failures include the lack of available talent, the overwhelming and complex volume of prospective vendors, the lack of a solid business case to define success, and the derailing of initiatives caused by unanticipated political and cultural pitfalls that often accompany enterprise-wide technology adoption.

Read More

Which IoT Applications will Benefit Most from Edge Computing?

Article | March 2, 2020

Edge computing refers to information being processed at the edge of the network, rather than being sent to a central cloud server. The benefits of edge computing include reduced latency, reduced costs, increased security and increased business efficiency. Transferring data from the edge of a network takes time, particularly if the data is being collected in a remote location. While the transfer may usually take less than a second, glitches in the network or an unreliable connection may increase the time required. For some IoT applications, for example, self-driving cars, even a second may be too long. Imagine a security camera that’s monitoring an empty hallway. There’s no need to send hours of large video files of an empty hallway to a cloud server (where you will need to pay to store them). With edge computing, the video could be sent to the cloud only if there is movement detected in the hallway.

Read More

AI + IoT = Automating and Analyzing Data Collection

Article | February 18, 2020

IoT is huge, but AI has the potential to supercharge the technology even more. Gartner predicts that this year 80 percent of all enterprise IoT projects will include AI. One area where many have been critical of IoT is a lack of good security. When coupled with AI, that could be improved, but some worry that AI can also be used as a tool to defeat IoT security. Dean Chester, cybersecurity author, wrote that “AI can be used for IoT security, or it can be used against it.”Melvin Greer, Chief Data Scientist, Intel Americas , said that “AI and IoT are no longer in separate swim lanes. AI closes the loop in an IoT environment where IoT devices gather or create data, and AI helps automate important choices and actions based on that data. Today, most organizations using IoT are only at the first ‘visibility’ phase where they can start to see what’s going on through IoT assets. But they’re moving toward the reliability, efficiency and production phases, which are more sophisticated and require stronger AI capabilities.

Read More

Make Room For Public Clouds In Your Industrial IoT Strategy

Article | March 1, 2020

Not too long ago, executives from manufacturing and related industries would not consider running their internet of things (IoT) initiatives from a cloud. Now? It’s hard to find one who doesn’t enthusiastically embrace some role for the public cloud. Makers of industrial IoT (IIoT) software platforms have undergone a similar change of heart, pivoting from making grand plans for multibillion-dollar global data center rollouts to wholeheartedly partnering with one or more of the hyperscale public clouds. So far, so simple: Public cloud is definitely now part of the industrial IoT story. But there are a multitude of ways to use a public cloud, from just installing your own software there to fully integrating with all of the cloud, development, and IoT services that the hyperscale public cloud platforms increasingly offer. I explore this range of options in my latest report, “Hyperscale Public Clouds Power Your Industrial IoT Future,” and shall be discussing the issues in a client webinar on March 31.

Read More

Spotlight

Monstar Lab, Inc

Monstar Lab Group is a global digital product development agency, specialising in bespoke enterprise-level projects. The Group employs a range of experts suited to assist their clients through each phase of the development journey: business strategy, planning, design, coding, testing, deployment, growth hacking, and maintenance.

Events