Media-Insert Communications

Media-Insert Communications

The blog of Media-Insert Communications – featuring freelance P.R. and journalism links to the work of Graham A. Jarvis.

Editing, Journalism, Copywriting, and Public Relations

Category: Artificial Intelligence

  • “We need data to understand who’s responsible in the event of an accident,” he replies. The second challenge in his opinion is related to the first one because with the development of autonomous driving there needs to be an evolution of the regulatory framework to answer the liability question. “In a number of countries most…

  • To support video companies using video for broadcasting, advertising, video-conferencing, marketing, or for other purposes, need to avoid settling for traditional WAN optimization. Instead they should employ more innovative solutions that are driven by machine intelligence – such as PORTrockIT, which accelerates data while reducing data packet loss and it mitigates the effects of latency.

  • IoT gives birth to IIoT, which involves monitoring the performance of complex machinery such as gas turbines, aircraft, ships, electrical grids and oil rigs. So it’s not just about a diversely spread group of CAD engineers working collaboratively across the globe. “IIoT has never been so diverse and in depth with vast amounts of data…

  • Fabien Roth, general manager from advanced infotainment marketing at Panasonic says: “Augmented reality will display an image at least 10 metres ahead of the car, meaning that the content will be integrated to make it natural to drive and to monitor information.” He adds that augmented reality will project images ahead of the car, and…

  • In the short term, the idea is to augment and to automate. As the use of AI grows, this technology will take over certain tasks by analyzing data and reacting accordingly. With experience, it can improve and predict. In the case of Shazam for example, AI can predict the next big hits. That’s great, but…

  • An example of my script-writing work for The Telegraph: A look at how artificial intelligence has evolved over time.  Published/Broadcast on 29th March 2017 by The Telegraph. By-lined to: Kate Mannix and Sean Hall. #YearInReview

  • A significant challenge with adoption of AI techniques, and the question of liability, is transparency in the decisions made by these systems. Many data driven machine learning technologies are essentially a black box, unable to provide a justification to the answers they give. However a new breed of technologies are now available with the ability…

  • The key is to have a backup plan. Rather than blasting its way through the file systems, ransomware will eventually work silently in the background, encrypting files over a period of time so that they become a part of the backup data sets. It’s therefore important to maintain generations of data sets, not only locally…

  • The key challenge is to make the ‘KYC’ process more efficient to avoid false positives and false negatives by using artificial intelligence (AI) and machine learning to automate the data analysis.

  • Banks have often looked upon the public cloud with suspicion, cautiously stepping around it while initially preferring the private cloud model as the most secure option in their view. The half-way house is the hybrid cloud model, which allows sensitive transactional data to be locked up in a private cloud, while public clouds have been…