ChatGPT: A New Chapter in AI Transformation

ChatGPT: A New Chapter in AI Transformation

The tech market over the past year has been dominated by AI since ChatGPT was introduced to the world in November 2022. Like the metaverse before it, there have been countless products and articles, and the media has been rushing to introduce them. Many companies have been thinking about how they can apply the new ChatGPT and generative AI to their field work. Some companies, such as Microsoft, are leading new innovations by applying generative AI to their products rather than ChatGPT. It felt like an era of great transformation through AI. Beyond digital transformation, we now talk about AI transformation. In this article, I will introduce the meaning of AI transformation, ChatGPT, and various AI tools.

1. Introduction: A New Chapter in the AI Transformation

Rapid advances in artificial intelligence (AI) technology are revolutionizing many aspects of our lives. At the center of this transformation are conversational AI models with advanced natural language processing capabilities based on large language models (LLMs) such as ChatGPT. They have the ability to generate natural conversations by interacting with users, heralding a fundamental shift in the way humans interact with technology.

The shift to AI is not just a technological advancement; it is also having far-reaching social and economic implications. The emergence of ChatGPT symbolizes this shift, enabling new forms of human-machine interaction that go beyond traditional interfaces and communication methods.

ChatGPT: A New Chapter in AI Transformation
ChatGPT: A New Chapter in AI Transformation

2. ChatGPT’s innovative approach

ChatGPT is one of the major breakthroughs in the field of natural language processing (NLP), with the ability to respond to user questions or commands in a human-like manner. This ability is based on the Generative Pre-trained Transformer (GPT) architecture developed by OpenAI, which is pre-trained on large datasets and then fine-tuned for specific tasks.

When evaluating ChatGPT, the biggest difference between it and similar services before it is that it makes it easy for anyone to use a high-quality conversational service by simply signing up. By building a huge language model to answer any question and opening it up to the public, the service has spread at a rapid pace, reaching 1 million signups in 5 days. It’s also true that the various use cases have gone viral since opening it up to the public.

2.1. Technical foundation

The heart of ChatGPT lies in its Transformer architecture. This architecture plays a key role in understanding context and identifying relationships between sentences. Transformer models use a self-attention mechanism to generate output for a given input. This allows the model to learn how each part of the text interacts with the overall context, which is essential for generating high-quality, natural dialog.

2.2. Scaling applications

ChatGPT has many applications and is constantly expanding. In education, it can contribute to enhancing the learning experience by providing personalized learning and tutoring systems. In business, it is used to improve user experience by automating and improving customer service. It can also assist human efforts and promote creativity in areas ranging from content generation, coding assistance, and creative work.

ChatGPT’s use cases are constantly expanding as AI technology advances. This heralds a future where AI and human interactions will become more natural and efficient, forcing us to reevaluate the impact of AI on our daily lives and professions and explore new possibilities.

These innovative approaches provide deep insights into the future of AI technology and the challenges facing our society. Ongoing research and dialogue is needed to make the most of the positive changes that technologies like ChatGPT will bring, while also addressing the ethical and social issues that may arise.

3. Social impact and outlook

Advances in advanced AI technologies like ChatGPT are expected to have far-reaching impacts across society. While these technologies have incredible potential, they also raise ethical and social questions and require in-depth discussions about how we develop and utilize them.

3.1. Technology and ethics

Advances in AI technology, particularly those related to natural language processing, raise important ethical considerations such as data bias, privacy, and transparency and accountability issues for machine decisions. These are important challenges that must be addressed to maximize the benefits and minimize the negative impacts of technological advances. Data bias can cause AI models to reinforce inaccurate or negative biases about certain groups, making it essential to collect and process data with diversity and inclusivity in mind.

3.2. Jobs of the future

Advances in AI technology have the potential to replace human roles in some specialized fields, which can lead to social problems such as job losses. Recent news stories about people whose jobs have been affected by AI or who have received layoff notices suggest that this problem is beginning to take hold. At the same time, however, the emergence of new technologies and services will spur the creation of new types of jobs. Responding to these changes will emphasize the importance of skills training and retraining, which will play a key role in ensuring that all individuals can benefit from technological advances in the future.

4. Conclusion: The journey to innovation

The emergence of AI technologies like ChatGPT is opening up a new chapter in technological advancement, and we need to work together to responsibly embrace and positively leverage the changes it brings. To realize the full potential of AI technologies and address the ethical and social issues that may arise at the same time, we need collaboration and ongoing dialog among all stakeholders, including researchers, developers, policymakers, and users.

But even apart from these concerns, AI will begin to transform the enterprise. If the first 50 years of the Industrial Revolution was a period of technological change in which machines replaced human manual labor, the next 50 years will be an era in which AI will replace human brain labor. In this article, I will discuss how companies can actually use AI to change their businesses from the perspective of AI transformation, not just digital transformation.

Apple Vision Pro 9 Feature Breakdown: A Revolutionary MR Experience

Apple Vision Pro

With pre-orders for the Apple Vision Pro now open, there’s a lot of curiosity about what the experience will be like and what features will be available. In the meantime, Apple has uploaded an official guided tour video, and we’re going to take a look at some of the specific features of Apple Vision Pro.

Apple Vision Pro
Apple Vision Pro

Overview of Apple Vision Pro

Apple Vision Pro is a device for spatial computing that will bring mixed reality (MR) experiences to the masses through a headset. More of an AR device than a VR device, Apple Vision Pro allows users to see their space and everything in it, while also recognizing the faces and expressions of others if they are nearby.

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How to navigate content

How can I easily navigate through content? You can navigate by looking at the screen and using your hands and voice. To select a photo, you can look at the screen and tap your finger; to zoom in on a photo, you can look at the corner and spread your fingers; and after zooming in, you can pinch to zoom in and out. To move around the screen, you can zoom out, zoom in, and move the window bar at the top with your finger. We expect this to be easy to get used to with a little practice.

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Key Features of Apple Vision Pro

With Apple Vision Pro, you can enjoy a large screen, multiple workspaces, and the freedom to arrange your programs or listen to music while you work. It’s said that you can even create a workspace that feels like your own movie theater, which is probably a scaled-down version of the experience at the Sphere in Las Vegas.

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Advanced features for mixed reality devices

What are the key features of advanced mixed reality devices? Advanced mixed reality features on these devices allow you to experience spatial sound, environmental sensations, and interactivity. With FaceTime, you can see the other person’s real-time facial expressions and hand gestures, and with Apple Vision Pro, you can expand your Mac screen into a giant display. Personally, I can’t wait to see how this will work in the workplace.

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As an example of apps that introduce meditation and everyday pleasures, we’ve included the Mindfulness App Experience and the interactive Encounter Dinosaurs experience in Apple Vision Pro. The Mindfulness app allows you to meditate for a few minutes, and Encounter Dinosaurs is a fun, interactive way to enjoy dinosaurs in the Apple Vision Pro app store.

I can’t help but wonder how a mixed space like this could help me meditate, and the interactive experience has dinosaurs falling on the screen, and you can stand up close and interact with them as you move around, so I’m sure we’ll see a lot more of these kinds of apps.

Finally, Apple says there are millions of apps available for Apple Vision Pro in the newly launched App Store, so I’m sure there will be some that will make the most of this device.

Video introduction and key features

Here are some highlights from the introductory video. Watch the full video to get a taste of what the device will be like.

  1. Introduction: Introduces the Apple Vision Pro and mentions that the best way to experience the device for yourself is to try it out at an Apple Store. However, this video tries to show the features through Will’s first use.
  2. Navigation and interaction: The device allows users to navigate using their eyes, hands, and voice. It features a home view to access apps and experiences, and intuitive gesture controls for selection and navigation.
  3. Photos and panoramas: Users can view photos and panoramas at full size, including a room photo feature for focusing. Zooming in and out and resizing is done with simple hand gestures.
  4. Spatial videos: One of the key features of Apple Vision Pro, spatial videos add dimensional depth to the viewing experience. These videos can be captured with the iPhone 15 Pro or the Vision Pro itself.
  5. TV and movies: The device offers an immersive movie theater-like experience on the big screen.
  6. Workspace utilities: Vision Pro transforms the workspace into a spacious environment where users can use multiple apps. Features like Mail, Music, and Safari are demonstrated with spatial sound and a large display.
  7. FaceTime and personas: The video demonstrates advanced FaceTime features, including lifelike calls and the use of more expressive “personas” in virtual interactions.
  8. Environments: This feature allows users to transform physical spaces into different environments. It strikes a balance between immersion and awareness of the real world.
  9. Mac Virtual Display: Vision Pro can integrate with a Mac, transforming the laptop screen into a large virtual display.
  10. Mindfulness and interactive experiences: The device offers mindfulness apps and provides interactive narratives, such as meeting a dinosaur.

Public cloud: a key component of your digital transformation strategy

Public cloud: a key component of your digital transformation strategy

Public cloud: a key component of your digital transformation strategy. Key Technologies for Digital Transformation: From RPA to Cloud analyzes the speed, agility, cost-effectiveness, and technical advantages of the public cloud, which has emerged as a prerequisite for the fourth wave of digital transformation (DT, DX, digital transformation).

It is no exaggeration to say that cloud is the most fundamental technology for DX. The emergence of cloud services represented by Amazon AWS, Microsoft Azure, and Google GCP can be said to have accelerated the actual DX. It is now a rare sight to see even domestic companies putting servers in IDCs (Internet Data Centers) and visiting them regularly. For companies that aim to provide global services, the emergence of public clouds is a key tool that solves many complex problems at once, like the sweet rain in a drought. How should public clouds be viewed from a DX perspective?

Public cloud: a key component of your digital transformation strategy
Public cloud: a key component of your digital transformation strategy

Speed and agility in the public cloud: Amazon AWS, Microsoft Azrue, Google GCP

One of the biggest selling points of a public cloud environment is speed and agility. In a traditional on-premises environment, building a server starts with ordering hardware. The infrastructure operations staff, in consultation with the development team, assembles the right mix of components for the server’s availability.

This usually takes a few weeks, or even months if the order is placed with an offshore IDC. Once the hardware is received, the next step is to install the operating system and software for the server, connect it to the network, test it for stability, and install it. From there, you use your own server management software to make sure the server is working properly, and if there are any unresolved issues, you travel to the IDC’s site to deal with them. In a public cloud environment, however, this process is much simpler.

You can select the server specifications you need online, and with a few clicks, the hardware is ready to go. What’s more, when you select a server specification, you can sometimes request that the server operating system or some software be installed. In other words, the public cloud is like choosing a ready-to-wear suit, whereas the old way of doing things was like making a custom suit. Because of this immediacy, the public cloud has the advantage of being faster and more agile than traditional methods, which means you can spend less time bringing new services to market and more time testing them. You can also scale to a global service in minutes.

Cost savings and flexibility benefits

Using a public cloud environment can also save you money. Of course, this can be controversial. Recent public cloud environments utilize PaaS (Platform as a Service, a model that provides various IT infrastructures necessary for app development in the form of a platform, and companies only need to worry about app development), which may cost more than a traditional server configuration. However, from the perspective of traditional server operation, cost savings are inevitable until a certain scale is reached. In addition to the pure infrastructure costs of running a single service, there is also a significant cost for operating personnel. With the public cloud, these labor costs can be flexibly managed.

In addition, since the public cloud is not an investment in servers (hardware), you only pay for what you use (pay-as-you-go). This means that for corporate accounting purposes, it is not an “investment” but an “operation” of an asset. In addition, pay-as-you-go allows you to try different business experiments without worrying about the cost if you don’t know what your server usage will be.

In server operations, server specifications are determined based on an agreed transaction between infrastructure personnel and developers, and if the actual usage is less than this, it is an over-investment in the server. In other words, if a server with an availability of 100 is actually operated and only 20 is used, 80 server resources are over-invested.

In fact, these details are rarely reported to the company’s management, and even if they were, they wouldn’t be able to recoup the investment. However, in a public cloud environment, you have the flexibility to handle this situation. If you set up 100 server resources and only use 20, you can downsize to 25 or 30. This scalability and flexibility is also a huge advantage in the opposite situation.

If your service is so successful that you experience a temporary spike in demand for server resources, you can quickly and flexibly scale up your server specifications, and we’ve seen examples where this flexibility has actually reduced server failure rates by more than 50%. Even if you do experience a serious problem with your server resources, your server recovery time will be much shorter than before.

DX Core Technologies and the Public Cloud

There’s another important factor in utilizing the public cloud from a DX perspective. This is that most of the latest technologies for DX, such as artificial intelligence, big data, and the Internet of Things, are implemented in public cloud environments. As we mentioned earlier, it’s important to utilize external resources to build well-crafted technologies instead of trying to build them from scratch. In this context, we also talked about the importance of open innovation. If you want to take advantage of this scalability and fast-moving technology at the right time, you can only do so if your company’s systems are in a public cloud environment.

Whether you’re creating a minimalist product to bring to market or experimenting, the public cloud can give you the most bang for your buck. In the old way, it was difficult to start a new business because you had to acquire a lot of assets, starting with hardware, and the sunk costs were quite high if the business failed, but now you don’t have to worry about that. Of course, how well you utilize the public cloud environment is another matter, and it’s also an internal capability. Nevertheless, the public cloud has become an integral part of the DX landscape.