Digital transformation (DX) has recently become a pressing issue for many companies as the latest digital technologies, such as artificial intelligence and the Internet of Things, can be easily utilized. However, devising new business models is not easy for compa-nies, though they can improve their operations through digital technologies. Thus, business model design support methods are needed by people who lack digital tech-nology expertise. In contrast, large language models (LLMs) represented by ChatGPT and natural language processing utilizing LLMs have been developed revolutionarily. A business model design support system that utilizes these technologies has great potential. However, research on this area is scant. Accordingly, this study proposes an LLM-based method for comparing and analyzing similar companies from different business do-mains as a first step toward business model design support utilizing LLMs. This method can support idea generation in digital business model design.

The gold industry is undergoing a transformative phase, thanks to the advent of Artificial Intelligence (AI) technologies. With its ability to analyze vast amounts of data and identify patterns, AI is opening up new possibilities for the industry, from discovering new gold reserves to creating new business models and value-added services. One of the most significant impacts of AI in the gold industry is in the discovery of new reserves. By analyzing geological data, AI can identify anomalies that may indicate the presence of gold deposits. This allows mining companies to explore new areas with a greater degree of accuracy and efficiency, ultimately leading to the discovery of previously unknown reserves.

Definition and Purpose: AI refers to the development of computer systems that can perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. In contrast, Blockchain is a distributed database that is used to record and store transactions securely and transparently, without the need for a central authority. Data Processing: AI requires large amounts of data to train algorithms and improve accuracy, while Blockchain uses cryptography and consensus mechanisms to securely store and process data. Governance: AI is typically developed and governed by private companies and organizations, while Blockchain is designed to be decentralized, with no central authority or control. Applications: AI has a wide range of applications, including machine learning, natural language processing, and computer vision.

The COVID-19 pandemic has brought home how much people value the human touch, in our business relationships with colleagues and clients almost as much as with family and friends. And this is as true in the premium finance industry as it is anywhere. It's always been a people business, but with anxiety and uncertainty all around, face-to-face meetings an impossibility and spikes in call volumes it's become more important than ever to provide a human connection between companies, brokers, and end users. Never has good communication and customer service been so valued. During this time the pandemic has accelerated digital transformation across the insurance industry. Paradoxically it is technology can meet some of the challenges of providing a human connection, at scale.

Analysts at Deloitte have unveiled their predictions for what they believe will be the most important tech trends of the next 12 months. To do this, they have framed core trends, including machine learning, cloud computing, and blockchain, against the dynamically shifting industry backgrounds where they operate, aiming to focus on real-world use cases rather than just high-level technology concepts. I took the chance to review the selection with their chief futurist, Mike Bechtel, in order to gain some insights into why the consulting giant believes they will be so influential, and how we are likely to see them impacting our lives as we move into 2023 and beyond. Predicting the impact that the much-talked-about metaverse will have on our lives, Deloitte's report focuses on the concept of "Immersive internet for the enterprise." The true value of the metaverse, it is suggested, will be the new business models that it makes possible.

HERE Technologies today announced that HERE Workspace is expanding to give enterprises more ways to integrate spatial intelligence into their business operations, supply chains and fleets. Launched two years ago as a platform tool for building and scaling customized maps, services and experiences, HERE Workspace is offering new and improved capabilities, including a low-code environment for developing spatial intelligence and a new intuitive and predictable value-based pricing model. HERE is also pleased to announce that HERE Workspace now integrates seamlessly with Amazon SageMaker, enabling users to leverage familiar value-added machine learning tools to enhance their spatial intelligence development. "We believe that every smart enterprise will want its own private map, leveraging its own spatial data at scale," says Giovanni Lanfranchi, Chief Product & Technology Officer at HERE Technologies. "Building on our progress of the last years, we're expanding the possibilities of HERE Workspace by connecting it to Amazon SageMaker, an end-to-end machine learning solution, to deliver even greater value for customers."

Elaborating on some points from my previous post on building innovation ecosystems, here's a look at how digital twins, which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems. Keith Bentley of software developer Bentley Systems describes digital twins as the biggest opportunity for IT value contribution to the physical infrastructure industry since the personal computer, and they're used in a wide variety of industries, lending enterprises insights into maintenance and ways to optimize manufacturing supply chains. By 2026, the global digital twin market is expected to reach $48.2 billion, according to a report by MarketsAndMarkets.com, and the infrastructure and architectural engineering and construction (AEC) industries are integral to this growth. Everything from buildings, bridges, and parking structures, to water and sewer lines, roadways and entire cities are ripe for reaping the value of digital twins. Here's a look at how digital twins are disrupting the status quo in the infrastructure industry -- and why IT and innovation leaders at infrastructure and AEC enterprises would be wise to capitalize on them.

The pandemic caught many companies unprepared and gave them new pressure to increase their efforts to serve customers and employees through digital acceleration. Future fit organizations responded with utmost creativity by pivoting quickly to new business models while supporting existing customers. They optimized and automated processes and reorganized their workforce to adapt to the new context. And they quickly adopted new technologies that helped them become more resilient. Will all of the urgency brought about by the pandemic just disappear?

Microsoft unveils big-data-capable SQL Server 2019 and extended AI capabilities to power data-driven innovation. Microsoft CEO Satya Nadella set the tone at the September 24-27 Ignite events in Orlando by sharing at least half a dozen stories of leading companies innovating and pioneering new business models with the aid of artificial intelligence (AI). It was a crisp, one-hour presentation long on vision and surprisingly short on promotion or even mentions of the significant technology announcements that followed. Nadella warned the more than 30,000 attendees that the ability to innovate and drive new business models is as much or more about changing corporate cultures and business processes as it is about applying technology. And when the technology decisions are ready to be made, Nadella counselled executives to know which capabilities are commodities and which warrant custom development to drive differentiation.

When it comes to digital transformation, the Covid crisis has provided important lessons for business leaders. Among the most compelling lessons is the potential data analytics and artificial intelligence brings to the table. "Launching a direct-to-consumer business was always on our roadmap, but we certainly hadn't planned on launching it in 30 days in the middle of a pandemic," says Michael Lindsey, chief growth officer at Frito-Lay. "The pandemic inspired our teams to move faster that we would have dreamed possible." The crisis accelerated the adoption of analytics and AI, and this momentum will continue into the 2020s, surveys show. Fifty-two percent of companies accelerated their AI adoption plans because of the Covid crisis, a study by PwC finds.