
First, let’s talk about cybersecurity. Cybersixgill in the report regarding their predictions of its’ future stated: “Cybercrime is increasingly lucrative,[…]we expect a record-breaking year of cyber security breach notifications not only because of the sophistication of thread actors but also due to larger changes in the world global unrest supply chain instability and soaring inflation will impact an organizations ability to mitigate remediate or prevent a problem.[…]AI will play a huge role both in cyber threat intelligence and in fighting cybercrime.”
Cybersecurity expert Dov Lerner said that “While the technology has been developing for a while , the difference now is that it’s more accessible. Advanced AI capabilities that were only in the hands of a few governments and researchers became mainstream in 2022 – think DALL-E, Stable Diffusion and chatGPT. We think cybersecurity will go in this direction in 2023 as AI capabilities became available for both attackers and defenders.”
In terms of trends Mann predicts a lot of changes in analytics. It is a very dynamically developing and changing area. Its’ future holds a lot of exciting opportunities as well as threats. They mention that the 4 major trends in 2023 will be: “The rise of low-code and no-code automated machine learning (AutoML), enhanced digital twin technologies, industrial adoption of computer vision and a blurring of the lines between edge and cloud.”” Mann says we’ll also see more purpose-built digital-twin applications in 2023 specialized for defined use cases in energy, infrastructure optimization and industrial manufacturing sectors. Organizations are also expected to increasingly adopt CV and other AI technologies, with the kinds of industries harnessing these technologies expanding beyond more niche use cases by IT staff and data scientists. According to Mann, CV initiatives will focus on “yield improvement, operational efficiency and safety. Finally, with cloud hyperscalers like Microsoft Azure, Amazon Web Services and Google Cloud Platform starting to roll out core cloud services on the edge, edge computing will become an extension of cloud computing. Workloads will be distributed intelligently across hybrid environments. This will mean quicker adoption of IoT analytics at the edge in 2023 to enhance decision making at the source. […]These trends don’t mark a departure from previous years, but rather a continuation of market trajectories following the pandemic.”(“IoT World Today)
Some of the tech trends were presented by by Koenig is the CES convention (Consumer electronics show) organized by the Consumer Technology Association – one of the biggest tech events in the world. According to “IoT World Today” “With the potential of a 2023 recession, Koenig suggested that the market can expect to see four enterprise tech innovations: connected intelligence, autonomous systems, quantum computing and 5G industrial IoT applications.
The next generation of online experiences, the metaverse of things (MoT) and the technology innovations fueling it, were highlighted as digital twins, virtual spaces, shared experiences and virtual scenarios.
Koenig said highlights of transportation, one of the major themes of this CES, were the advancements of autonomous systems, the transformation of the in-vehicle experience and the evolution of the electrification ecosystem.
In-vehicle enhancements coming were noted as screenification, voice control, retail and entertainment services and features as a service (FaaS) models.
In health services, Koenig sees new frontiers in innovation, including anytime virtual visits, remote patient monitoring, fitness and wellness platforms and access to online pharmacies.
Koenig also spent some time detailing farming of the future, which is to include intelligent silos, drones and soil sensors, farming robots, connected farmers and satellite 5G connections.
One major farming innovation was the John Deere fully autonomous tractor we wrote about at the last CES. That tractor is the CES Innovation Award winner in robotics this year.”