Microsoft and OpenAI have reached a deal to allow the ChatGPT maker to restructure itself into a public-benefit corporation, valuing OpenAI at $500bn and giving it more freedom in its business operations. The deal, unveiled on Tuesday, removes a major constraint on raising capital for OpenAI that has existed since 2019. As its ChatGPT service exploded in popularity, those limitations had become a notable source of tension between the two companies. Microsoft will still hold a stake of about $135bn, or 27 percent, in OpenAI Group PBC, which will be controlled by the OpenAI Foundation, a nonprofit, the companies said. Microsoft, based in Redmond, Washington in the United States, has invested $13.8bn in OpenAI, with Tuesday's deal implying that the firm had generated a return of nearly 10 times its investment.

"Green consumerism," is the idea that consumers' decision to purchase or not to purchase an item is mediated at least partly by considering the item's impact on environmental or social conditions.9 In response to a general upswell of awareness around sustainable development goals (SDGs) and climate change, large corporations such as Google and Amazon have provided users with tangible sustainable choices. For example, when checking out on Amazon, if a customer has more than one item in an order, they can opt into Amazon Day, which delays shipping until all items are available to be placed in the same shipping box. Additionally, Amazon allows users to filter a search to only show items containing a climate pledge certification. Similarly, Google's search engine allows users to filter for low-emission options when searching for flights, as well as enabling users to search eco-certified hotels when booking travel plans.

With the changing world, it is important for companies to transform accordingly. One of the most widely used technologies used these days is cloud computing. The adoption of cloud computing has been increasing rapidly. Either company has already adopted it or is moving towards adopting it. The advantages that cloud computing provides are immaculate.

In September 2021, AI inside started the provision of "AI inside Cube Pro," the highest performance in the series of our in-house designed edge computing device "AI inside Cube." For AI inside to realize a society in which AI has spread to every corner of society, "AI inside Cube" is an essential element that composes the platform for anyone to create and use AI easily. As a company that provides AI services, we will introduce why we design and provide in-house developed edge computing devices in addition to software, and the future that we are aiming for. There are two primary environments to run AI; cloud computing service and edge computing service. Cloud computing service is when AI training and inference is processed in the cloud, and "cloud AI" refers to running AI in the cloud.

The importance of data in modern tech can hardly be over-emphasized; because there are so many services and products, there have become so many reasons and channels for collecting user or enterprise data. Companies leverage data to improve the user experience of customers, while in-house, there is a need for effective data accumulation for record-keeping and effective operations. As we clamor and advocate for more frictionless operations in our businesses and everyday activities, we simultaneously create a channel for more data to be collected and used in order to automate processes. In fact, the entire reason why we say companies and organizations should'upgrade' is so that our services or operations are faster. However, this increase in speed or quality in service that we call for can only be achievable when operations are automated i.e. there is a digital record of that operation happening before, then when it wants to happen again, it happens with less human efforts because the existing data are enough to implement the operations automatically. At times, there might not be any need for a previous occurrence of the event in order to automate it, we just have to program whatever digital platform or channel we are using to carry out the operation seamlessly without human effort or with the aid of minimum human effort as the case may be.

Companies of all sizes are embracing cloud computing services to reduce infrastructure costs, increase agility and build new services. Over a third of the companies Lopez Research interviewed are using public cloud infrastructure services but what's impressive now is the range of services companies are adopting. Advanced analytics using cognitive functions is an excellent example of the cloud computing market's expansion beyond infrastructure. Many companies have the issue of legacy infrastructure, but few can say their business goes back hundreds of years. As Tassilo Festetics, the Vice President, Global Solutions at AB InBev, said in a telephone interview, "The world changed around us. At one point, sales were dictated by how fast a salesperson could drive a motorcycle between locations. Today, AB InBev needs to digitize all aspects of its business to be successful."

There are a lot of changes that occur in companies under the influence of the information technology innovations. Those changes help significantly increase the quality of products and services, which increases the level of customer loyalty and satisfaction. Manufacturers also do not stand aside. New approaches and business models born in Industry 4.0 allow them increasing profit and investing more in the product enhancement. The term "industry 4.0" is now used as a synonym for the fourth industrial revolution.

We are on the cusp of the fourth industrial revolution, also known as Industry 4.0. With Cincinnati, Ohio declaring itself an "Industry 4.0 demonstration city," the question isn't if Industry 4.0 is coming, but rather how quickly. Technologies such as the Internet of Things (IoT), robotics and automation have ushered in this fourth age of widespread change. These technologies, along with Big Data and analytics, and cyber-physical systems sit at the heart of the Industry 4.0 model and they all run on the cloud. Over the next decade, these emerging technologies will create new real-time connections between machines, production processes, and systems that will revolutionize the way we do business.

From machine learning-powered fraud defense on Shopify to Salesforce's Einstein, over the past couple of years, SaaS industry leaders have invested heavily in artificial intelligence R&D and have rapidly acquired AI companies to give themselves a lead over the competition. Thanks to cloud computing services democratizing access to AI, we may be on the cusp of a new age when emerging SaaS providers begin to roll out AI applications that really solve problems for consumers. I spoke to a number of experts at this year's SAAS NORTH conference in Ottawa, Canada about the evolving nature of AI in the SaaS industry. According to their insights, here's what the future might hold: The traditional SaaS model is based on rolling monthly subscriptions, meaning SaaS companies need to constantly improve and nurture their customer relationships to keep clients returning month by month. Leo Lax, founder of Ottawa-based SaaS accelerator L-Spark, said, "AI is helping to reduce the manual labor that was involved in the building of the customer relationship and allowing vendors of SaaS to interface with customers in a more meaningful way."

Based on integrated infrastructure of resource sharing and computing in distributed environment, cloud computing involves the provision of dynamically scalable and provides virtualized resources as services over the Internet. These applications also bring a large scale heterogeneous and distributed information which pose a great challenge in terms of the semantic ambiguity. It is critical for application services in cloud computing environment to provide users intelligent service and precise information. Semantic information processing can help users deal with semantic ambiguity and information overload efficiently through appropriate semantic models and semantic information processing technology. The semantic information processing have been successfully employed in many fields such as the knowledge representation, natural language understanding, intelligent web search, etc. The purpose of this report is to give an overview of existing technologies for semantic information processing in cloud computing environment, to propose a research direction for addressing distributed semantic reasoning and parallel semantic computing by exploiting semantic information newly available in cloud computing environment.