OpenAI is developing a unified desktop superapp that will integrate ChatGPT, Codex, and Atlas into a single application, according to PCWorld's coverage of The Wall Street Journal report. This consolidation aims to reduce service fragmentation and improve overall quality for users accessing OpenAI's various AI tools. The superapp represents a significant shift toward streamlined AI services, potentially making OpenAI's offerings more accessible and efficient for desktop users. It seems you'll soon be able to access most of OpenAI's services in one place on your computer.

IT executives must look beyond cost savings to new forms of operational excellence and seek technologies that can help them optimize resilience, scale industry-specific solutions and product delivery, and pioneer new forms of engagement, according to the 10 top strategic technology trends for 2023 unveiled at Gartner's IT Symposium/Xpo 2022. These include multiple forms of wireless, artificial intelligence, and sustainability, according to Frances Karamouzis, distinguished vice president and analyst at Gartner, and external events are making IT pros' decisions about them even more difficult. "Depending on what region of the world you are in there are lots of looming issues such as a potential recession, supply chain concerns, the war in Ukraine and that impact, as well as energy-related issues," Karamouzis said. IT executives must focus on continuing to accelerate digital transformation and consider possible use both for technologies that can be applied immediately and those that are on the horizon. With that as background, Gartner's top 10 strategic technology trends for 2023 looks like this: No single wireless technology will dominate, but enterprises will use a variety of wireless solutions to support a range of environments, from Wi-Fi in the office, services for mobile devices, low-power protocols, and even radio connectivity, Gartner stated.

Machine learning methods based on artificial neural networks are fast becoming the norm with high end programing activities and work. Early restricted to research applications alone deep learning or hierarchical learning is fast being adopted by tech companies in day to day work. We have seen enormous use of machine learning algorithms that run in the backend today powering some of the most famous apps and software we use. It is because of them we are seeing intelligent systems that can predict effectively what will happen next. For instance you are typing and have activated auto keyboard it throws up potential words that you will use next.