November in Tech

Get ready for November’s hottest trends — these are the topics the tech community will be buzzing about this month. Join the discussion with your ideas and follow our digest to stay updated on the latest in the tech world!

?1. Smart Reporting in Logistics

Smart reporting in logistics is a hot topic in November. It is set to transform the industry, particularly through the use of predictive reporting tools that can forecast cargo flows and demand from a few days to several months ahead. This type of reporting tackles numerous logistical challenges by providing insights that allow companies to plan capacity, anticipate demand, and allocate resources more efficiently.

The development of AI-powered predictive reporting is currently a major challenge in the industry. Logistics generates vast amounts of data, and companies that can harness this information effectively will gain a significant competitive advantage. By analyzing patterns and trends in data, AI-driven systems can predict future cargo movement and prepare for fluctuations in demand.

?2. New Neural Networks

One of the emerging trends worth discussing next month is the development of neural networks, with an interesting approach recently introduced by the MIT spin-off startup, Liquid AI. They has developed models that harness time-based data to create dynamic neuron connections. Unlike traditional neural networks, where each neuron has a static weight, liquid networks use equations to govern each neuron’s behavior, making them more efficient and capable of learning even after training.

Optimizing neural networks is crucial for several reasons. First, it reduces energy consumption — a key consideration as the AI field seeks more sustainable solutions. Running large AI models requires significant energy resources, and building efficient architectures could dramatically lower the carbon footprint. Additionally, models like liquid neural networks provide greater transparency, helping tackle the "black box" issue by making AI's decision-making processes more understandable.

Looking ahead, it’s essential to focus on technologies that improve both the energy efficiency and interpretability of AI models.

3. Simple Web Applications

The growth of web applications is set to be one of the most promising trends in the tech industry, and the reasons behind this are clear. Web apps offer a versatile solution that meets the increasing demand for convenience, particularly as managing online services from smartphones has become second nature. Today, users expect seamless experiences on the go without the need for separate mobile applications, which can be costly and time-consuming to develop.

Creating a standalone mobile app is typically a significant investment, often requiring ongoing updates, maintenance, and support across multiple platforms, such as iOS and Android. This high development cost can make mobile apps a less attractive option for businesses, especially smaller companies or startups. In contrast, web applications provide a cost-effective alternative. They’re built once and accessible across devices via any modern browser, requiring only one version to serve multiple operating systems.

By 2025, we’re likely to see a surge in web applications, not only because of their cost efficiency but also due to their adaptability to users’ evolving preferences. With progressive web apps (PWAs) and other advanced web technologies, web apps are becoming increasingly responsive, faster, and more immersive.?

Look forward to JetSoftPro's next newsletter in December!