OpenAI has introduced a five-level classification system to track progress toward developing artificial general intelligence (AGI). In this article, we talk about what AGI is and the different levels of development.
What is AGI?
AGI refers to an AI system that provides human capabilities
AGI stands for "artificial general intelligence," or Artificial General Intelligence. It is a system that can perform and experience human tasks, but in addition it can surpass it.
According to various sources including Stanford, it is a form of artificial intelligence that is able to understand and learn knowledge or input and apply it in different ways. As a result, these tools are getting smarter and smarter, making both the output and the conversations between humans and robots better and better.
Below we discuss the 5 levels of AGI development.
Level 1: Conversational AI
This is the level where most language models are. AI systems can have natural conversations with humans. Examples include chatbots such as ChatGPT (up to ChatGPT-4o), Gemini and Claude that are used in customer service and as personal assistants.
Level 2: Reasoning AI
AI systems can solve basic problems at a level comparable to a person with a PhD, but without access to external tools. At this level, AI outperforms 50% of humans on the tasks they are skilled at. OpenAI launched ChatGPT-o1 on September 12, 2024 which is the first AI model at this level. This is an important step toward more advanced AI applications.
Level 3: Autonomous AI
AI systems (AI agents) can act autonomously and perform tasks on behalf of users over several days. This means that the AI can make decisions independently and adapt to changing conditions without constant human intervention. AI outperforms 90% of humans on the tasks they are skilled at.
This is also the level that humans, combined with AI agents, can perform work 365 days a year, 24 hours a day.
Level 4: Innovating AI
AI systems can develop innovative ideas and solutions. This would enable AI to contribute to important inventions and scientific breakthroughs, such as helping to cure diseases. AI outperforms 99% of humans on the tasks they are skilled at.
Level 5: Organizational AI
This is the ultimate level where AI systems can perform the tasks of an entire organization and do it better than 100% of humans. This includes strategic thinking, operational efficiency and the adaptability needed to manage complex systems and achieve organizational goals.
Where does OpenAI stand in AGI development?
OpenAI itself has not explicitly defined the term AGI within this classification system. With this, it is not clear when OpenAI believes their ultimate goal of AGI has been achieved. As the levels are named, it seems that somewhere around level 4 or 5 is the case.
OpenAI has not mentioned timelines, but top executive Sam Altman regularly states that he expects Level 5 to be reached as early as 10 years. Other experts do not see that happening and rather think of a 50-year time frame. By the way, these levels correspond pretty well to the roadmap of AI developments 2024 through 2030.
Take a leap forward in your marketing AI transformation every week
Every Friday, we bring you the latest insights, news and real-world examples on the impact of AI in the marketing world. Whether you want to improve your marketing efficiency, increase customer engagement, sharpen your marketing strategy or digitally transform your business,'Marketing AI Friday' is your weekly guide.
Meta took a big step forward early this week. With the launch of Llama 3. 1, the company introduced an AI model that is as powerful as the most advanced systems such as ChatGPT-4o and Claude Sonnet 3.5, but freely accessible to all.
What is Llama 3.1?
Llama 3.1 is a large language model (LLM) developed by Meta. The main features of this model:
Size: the model has three sizes: 405B, 70B and 8B, where B refers to the number of parameters. The 405B, for example, is 405 billion parameters and one of the largest models available. It can handle up to 128,000 tokens.
Architecture: it is based on transformer architecture, similar to GPT models such as ChatGPT.
Open source: unlike most other models, anyone can use Llama 3.1 for free and modify it to their liking. Also, you can install it on your own computer and also use it offline (e.g. via LM Studio). For this, the 8B version is best suited.
Multimodal: Although it can currently process only text and files as input and output, other forms such as images, video and audio will be added in the future.
What makes it different?
The big difference from the other models is that Llama 3.1 is open source. The advantages of this are:
Adaptability: researchers and developers can fine-tune the model for specific tasks.
Transparency: the operation of the model can be thoroughly studied, which is important for ethical AI development, among other things.
Accessibility: everyone will have access to advanced AI technology.
Innovation: the wide availability and ability to build on it can lead to many new applications.
However, open source AI models also have challenges, such as misuse and the need for careful regulation. After all, anyone can develop products using this language model, including people with not so good intentions.
Llama 3.1 is not yet available via Meta AI in Europe, but you can test it via, for example, Groq, select it as a language model within Perplexity, or run it locally via LM Studio.
Below you can see how Llama 3.1 performs against other models such as ChatGPT4o and Claude 3.5 Sonnet.
Can it really compete with ChatGPT, Claude and Gemini?
It is to be expected that Meta will become a dominant player in the AI landscape. One of the big advantages they have is that they make money like water from their social media platforms and do not necessarily need to make money from AI. They can integrate the AI into their existing platforms such as Facebook, Instagram and Whatsapp, as well as in collaboration with partners such as the Ray-Ban smart glasses.
Mark Zuckerberg is willing to invest billions of dollars to democratize the market for advanced AI models. With this strategy, he is also trying to undermine the core sales of competitors such as OpenAI and Anthropic and thwart the emerging market potential for Google, Microsoft and Amazon by giving away for free what they sell.
The race to the next breakthrough
As Meta Llama 3.1 launches, other major breakthroughs are expected soon. OpenAI's GPT-4 is already 17 months old. In that time, other companies have invested billions to create similar models, but no one has definitively surpassed GPT-4. Will this Gemini 2, Claude 4, Llama 4 or perhaps Elon Musk's new Grok model (about which he himself announced in December that it is the most powerful AI model in the world) succeed?
Or will OpenAI make such a leap forward with the successor to ChatGPT-4 that they will once again set the standard for the time to come? And what level of their classification system will they be at?
Time will tell, but we probably won't have to wait long for the answer. Almost immediately after the announcement of Llama 3.1, OpenAI already responded by announcing that their latest model GPT-4o mini is now also available for fine-tuning and that the first 2M tokens are free until Sept. 23.
In addition, OpenAI has made several announcements in recent months that have not yet been made available such as Sora, Voice Mode and other applications of ChatGPT-4o. All of these could be launched soon.
Regardless of which model leads the way (for a while), our advice remains to experiment with different AI tools and use the ones that best suit your specific tasks and needs.
Take a leap forward in your marketing AI transformation every week
Every Friday, we bring you the latest insights, news and real-world examples on the impact of AI in the marketing world. Whether you want to improve your marketing efficiency, increase customer engagement, sharpen your marketing strategy or digitally transform your business. 'Marketing AI Friday' is your weekly guide.
https://nxtli.com/wp-content/uploads/2024/07/Meta-Llama.webp386686Michiel Schoonhovenhttps://nxtli.com/wp-content/uploads/2019/10/NXTLI_Next_Level_Impact_Logo-1-300x123.pngMichiel Schoonhoven2024-07-27 09:33:182024-07-27 09:34:23Meta launches Llama 3.1: a big step forward with open source AI
Following the recent focus on Meta's introduction of Llama 3.1, OpenAI is now attracting the spotlight with another major announcement: the introduction of SearchGPT. With this new technology, OpenAI offers an innovative way for users to perform searches and get information.
In early March 2024, Sam Altman told Lex Fridman during an interview that he would find it boring to build a search engine similar to Google. What he did think was "cool" was the integration between LLM and Search, "nobody has cracked that code yet."
And OpenAI does not appear to have been idle. On July 25, 2024, OpenAI announced SearchGPT, a prototype of new search features that leverages the power of their AI models to give you quick answers with clear and relevant sources.
This is an excerpt from Lex Fridman's interview with Sam Altman published on March 18, 2024. View the entire interview here.
What exactly is SearchGPT?
SearchGPT is designed to give users access to relevant information from the Web in a fast, intuitive way. The system uses advanced natural language processing to answer queries with clear and reliable sources. The emphasis here is on citing and linking to original sources. This prototype provides the ability to search through naturally, similar to a conversation, giving a more organic and user-friendly experience.
What can you do with SearchGPT?
Find what you are looking for in a faster and easier way.
Get current answers to your questions quickly.
Find real-time information from the Web with clear links to relevant resources.
Search in a more natural, intuitive way with follow-up questions, just as you would in a conversation.
Get visual answers with images and video in an easy-to-understand format.
With this, OpenAI seems to be competing fully with search engines such as Google Search, as well as Perplexity. This could start to cause a major shift in search behavior. This makes it even more important to make sure your content and products are visible when someone asks a related question to a chatbot such as ChatGPT.
In its introduction, OpenAI also specifically states that "SearchGPT is designed to help users connect with publishers by listing them prominently and linking to them in searches.
This is a logical consequence of the many licensing agreements OpenAI has recently signed with several major publishers such as News Corp ($250 million over five years), Financial Times, The Atlantic and Associated Press (AP). These collaborations help train OpenAI's AI models and ensure that search results are based on current and reliable sources.
Future Developments
Although SearchGPT is currently only available to a limited test group, interested parties can sign up for the waiting list. OpenAI has indicated that this prototype is a temporary solution, with the intention of integrating the most successful features into ChatGPT in the future. Feedback from both users and publishers will play an important role in further developing and refining these features.
In addition to improving the overall search experience, OpenAI is also focusing on improving local information and commercial search. This could mean that users can expect even more personalized and contextually relevant search results in the future.
Take a leap forward in your marketing AI transformation every week
Every Friday, we bring you the latest insights, news and real-world examples on the impact of AI in the marketing world. Whether you want to improve your marketing efficiency, increase customer engagement, sharpen your marketing strategy or digitally transform your business,'Marketing AI Friday' is your weekly guide.
Update 08-2024: Google recently shared that they will not completely eliminate third-party cookies after all as previously planned. Read more about it here.
If you want to have a well-functioning website, cookies are very important. Cookies are used to collect data and there are two "main" types: first party cookies and third party cookies.
It is essential to understand the difference between these two types of cookies and the advantages and disadvantages, especially given the constantly changing privacy laws and regulations.
In this article, we explain what these cookies are, their advantages and disadvantages and why server side tracking provides a better solution to contemporary privacy issues and regulations.
What are First Party Cookies?
First party cookies are cookies set and managed by the website you are visiting. They are specific to that domain and are usually used to improve the user experience for the user. Examples include remembering login information, language settings and the items you have placed in a shopping cart.
A key benefit of first-party cookies is that they significantly improve the user experience. By remembering preferences and login information, interaction with the website is smoother. In addition, these cookies offer a high degree of privacy because they only collect data within the website itself. This makes them less controversial when it comes to privacy issues.
If you run a website then first party cookies are very valuable because they help collect accurate analytical data. This data can be used to improve website performance. In addition, the legal ownership of the data collected is clear: the website owner owns the data. This means that the data is not shared with third parties, which facilitates compliance with privacy laws such as GDPR.
However, first-party cookies also have some limitations. One of the main drawbacks is that they can only collect data within the domain of the Web site. This means they are unable to track user behavior across different Web sites, which is known as cross-site tracking. Using only first-party cookies is a significant limitation for advertisers because it prevents them from showing targeted ads based on users' browsing behavior across multiple Web sites.
What are Third Party Cookies?
Third party cookies have some distinct features and characteristics. These cookies are not set by the website you visit (as we described above about first party cookies) but by an external entity such as advertisers and analytics providers. These cookies are mainly used for advertising purposes, such as targeted ads and cross-site tracking.
Benefits of Third Party Cookies
A big advantage of third-party cookies is the ability to show targeted ads. They can track users' browsing behavior across different websites, which means that when you advertise, you can show specific ads that match the user's interests and behavior. This is incredibly valuable because it allows your ads to better connect with the target audience and increases the conversion rate. This can be seen as an effective way of advertising.
In addition, third-party cookies enable cross-site tracking. They offer marketers and advertisers valuable insights because you can track users across multiple Web sites. This gives a better picture of user behavior and helps you create a more targeted marketing strategy.
Disadvantages of Third Party Cookies
Despite their advantages, third-party cookies also have significant drawbacks, especially in the area of privacy. These cookies are often seen as an invasion of privacy because you can track users across multiple Web sites without explicit consent. This can lead to mistrust among users, who are uncomfortable with the idea that their online activities are being monitored by third parties. Users may feel that their privacy is being violated, which can result in a negative perception of the websites and companies that use these cookies. This distrust can damage the relationship between users and companies, which can ultimately negatively impact a company's reputation and success.
Another problem is that many modern browsers and privacy laws such as the GDPR in the Netherlands and Europe restrict or block the use of third-party cookies. These restrictions significantly reduce the effectiveness of third-party cookies.
A better solution:Server Side Tracking
We offer businesses an innovative solution to the limitations of third-party cookies by using server-side tracking. Instead of collecting data through the browser (client-side), tracking and analysis is moved to the server (server-side), bringing several benefits.
Better privacy
One of the main benefits of server side tracking is the improvement of privacy. Because data collection and processing takes place on the server, the risk of privacy violations is significantly reduced. This is because there is less chance of sensitive user information falling into the wrong hands or being misused.
More accurate data
Server side tracking also provides more accurate data. By relying less on cookies, which can be blocked by browsers or influenced by adblockers, the data collected is more reliable. This results in better data, which is a better basis for analysis and decision-making.
Compliance with privacy laws
Another advantage of server side tracking is that it makes it easier to comply with privacy laws and regulations such as the GDPR. Because the data storage and processing takes place on the server, the process can be better controlled and kept within legal regulations. This helps companies comply with strict privacy regulations and avoids potential legal problems and high fines.
Broad applicability
Server side tracking technology is broadly applicable to various platforms such as Google Analytics 4, Meta Ads, Google Ads and more. This means that companies can get a complete picture of their marketing applications regardless of the platform they use.
Getting Started with Server Side Tracking
First party cookies and third party cookies have their own applications and challenges, but with increasing restrictions on third party cookies, a new approach is needed. Starting to apply server side tracking is a good option in this. Would you like to get help with this? Please contact us.
https://nxtli.com/wp-content/uploads/2024/07/first-or-third-party-cookies.webp386686Julienhttps://nxtli.com/wp-content/uploads/2019/10/NXTLI_Next_Level_Impact_Logo-1-300x123.pngJulien2024-07-25 07:07:452024-08-05 15:28:20The difference between First Party Cookies and Third Party Cookies & Server Side Tracking as a solution
Many companies rely on Google Analytics 4(GA4) to gain insights into their online performance. Although GA4 offers powerful functionality, larger organistions can benefit from the expanded capabilities offered by Google Analytics 360. In this article, we compare Google Analytics 4 with Google Analytics 360 on several aspects, discuss what the differences are and whether upgrading to GA4 360, is really the best solution if you want to better map your data.
Number of Dimensions and Metrics
GA4 offers up to 50 event-scoped custom dimensions which may be sufficient for smaller businesses. However, with Google Analytics 360 this is increased to 125, which is a big step and allows you as a business to perform more detailed and in-depth analysis. Especially for corporate organizations that have many Web pages, want to analyze complex data sets and need detailed insights, this is ideal.
Predictive metrics
Another important distinction is the use of predictive metrics. GA4 offers limited or no access to advanced predictive metrics. In contrast, GA4 360 does offer these metrics such as churn probability and purchase probability, which works based on machine learning. By having these metrics, you as a company can better predict and anticipate customer behavior that you can then focus your marketing strategy on.
Data volume capacity
Data throughput is an important factor for companies with large amounts of data. GA4 is suitable for smaller to medium-sized businesses with a limit of 10 million hits per month. GA4 360, on the other hand, is designed for large companies and can process up to 2 billion hits per month, making it ideal for organizations with a lot of data and thus also a significant difference.
Speed of data processing
Speed of data processing is essential for real-time insights. GA4 has slower data processing and reporting. GA4 360 offers faster data processing, with data updated every 10 minutes. This provides real-time insights, allowing companies to react faster to trends and changes.
Support and Service Level Agreements (SLAs).
Support is an important aspect for companies that rely on analytics for their operations. GA4 offers standard support through documentation and community forums. However, GA4 360 offers access to dedicated support from Google with SLAs for guaranteed service levels and uptime. This ensures higher reliability and faster problem resolution. As a business, you can move faster if you notice issues with your data, whereas with GA4 you are more dependent on your own knowledge or data team you are working with.
Custom reporting options
For companies that need extensive reporting, GA4 offers limited options for customizing reports. In contrast, GA4 360 offers extensive options for custom reports, including custom funnels and unsampled reports. This allows companies to customize reports to their specific needs and gain deeper insights.
Analysis Hub
Data exploration and analysis capabilities differ significantly between GA4 and GA4 360. GA4 offers basic analysis capabilities. GA4 360 offers advanced analysis tools such as funnel analysis, pathing analysis and segment overlap. These tools allow you to dive deeper into the data, which can be very important if you want to do complex analysis.
Integrations
Integration with other tools and platforms is essential for seamless data analysis. GA4 has limited integrations and often requires third-party assistance. GA4 360 offers seamless integrations with other Google products such as BigQuery, Salesforce, and Google Marketing Platform, without the need for third-party help. This makes it easier to integrate and analyze data.
Unsampled data
For accurate analyses, it is important to have access to unsampled data. GA4 can provide sampled reports when the data volume is large, which can lead to inaccuracies. GA4 360 provides access to unsampled data, enabling more accurate analyses without data loss due to sampling.
When to switch to GA4 360?
Businesses may want to consider switching to GA4 360 because of its extensive support and ability to get more integrations. GA4 360 offers access to dedicated support from Google and extensive integrations with other Google products. These benefits can be important for companies looking to improve their data analytics and make strategic decisions based on accurate and comprehensive insights.
Using a custom analytics dashboard
So Google Analytics 360 offers a lot of advantages compared to the normal Google Analytics. However, this also comes at a price. In fact, using Google Analytics 360 starts from $50,000 per year, which can quickly become a lot higher. That's an awful lot of money compared to what you get in return.
We also see that many companies struggle to extract all the valuable insights from their Google Analytics data. It often takes a lot of time and effort to find and interpret the right information. Therefore, we have developed a Google Analytics dashboard that displays your data in a clear and understandable way.
Having your own analytics dashboard gives you instant access to key insights, while being very quick and easy to use. This not only saves you a lot of time and money, but also makes for better and faster decision-making. It also has many other benefits, you can make connections between different data sources much easily and more.
What is the right decision?
It completely depends on your company's needs, goals and budget whether it is worth upgrading. Although native analytics tools like GA4 are powerful, companies can benefit from the expanded capabilities of GA4 360. By making the switch, companies can benefit from improved support, more integration capabilities and deeper insights.
https://nxtli.com/wp-content/uploads/2024/07/Verschil-GA4-en-GA-360-1.webp386686Julienhttps://nxtli.com/wp-content/uploads/2019/10/NXTLI_Next_Level_Impact_Logo-1-300x123.pngJulien2024-07-21 09:11:082024-07-22 20:03:14Differences between Google Analytics 4 (GA4) and Google Analytics 4 360 (GA4 360)
Almost everyone has experienced it. You're on a website, see one of those chat icons, click on it, ask some questions, and within no time you get answers that don't help you at all. The chatbot apparently doesn't understand anything you ask. Very frustrating and a waste of your time.
But imagine if your website or online store had a digital service that was available 24/7 and did a great job of answering your visitors' questions like customer service would. Which is also increasingly smart and always friendly. That is the promise of AI chatbots for websites and one of AI's application areas within marketing.
At NXTLI, we put it to the test and developed our own AI chatbot. We are already quite proud of the first result. Test our AI chatbot by clicking on the icon at the bottom right of our website. Please give us feedback about your experience and what could be improved. After all, we are training this assistant on a daily basis. We are curious.
Would you also like to deploy an AI chatbot for your website that does work? We would love to help you develop such a digital assistant that really is an asset to your website visitors. And doesn't give them a lot of frustrations and headaches.
Let's take a look at the main points to consider when developing an AI chatbot for your website or online store.
Define the purpose of your chatbot
Before you start, it's important to have the purpose of your chatbot clear. Do you want to improve your customer service, provide more sales or simply help visitors find relevant content on your website faster? This goal will determine the direction of your entire chatbot project.
What should the chatbot be able to do?
What do you want the chatbot to be able to do? Go through a very structured process of questions or converse as naturally as possible. Give tips including links to more extensive information on the website or keep the conversation in the chat. Provide information about your products and services, your team, your customers or articles you have written. Communicate in Dutch and/or other languages. Being able to switch to a personal chat. These are all questions you can ask yourself.
What questions should the chatbot be able to answer?
This can be a real eye-opener, at least it was for us. Make a good list of all the questions you want answered. For example, use the questions you already often get via social media, DMs or emails. These are questions that resonate with your audience. Supplement these with the questions you can think of yourself.
Test these questions and see how the answers are given. If a question is answered incorrectly or not answered, chances are you do not have the necessary content on your website and have not used it as additional training data. This provides immediate insight for creating or updating content.
What are desirable functionalities?
To best train the chatbot and make it better and better, the following features are important to consider:
The chatbot uses one of the best AI language models (LLMs) such as ChatGPT4o, Claude Sonnet or Gemini.
You can give the chatbot a lot of information as training data, such as your website urls, documents and instructions for specific answers to certain questions.
You can give the chatbot detailed instructions.
You have clear insight into all the questions asked and answers given, where you can easily adjust incorrect answers.
You can easily customize the chat interface to match the style of your website and activate the chat easily. It may also be desirable to deploy different chatbots on certain pages.
The chatbot users and conversations can be integrated with your CRM or marketing automation systems.
The chatbot must be able to respond quickly.
Provide a chatbot with a human touch
To make users feel that the chatbot is a fine assistant, try to make it carry on a conversation as naturally as possible.
1. Give your chatbot a name and some personality, for example, "Sam the Servicebot.
2. Let the bot adapt to the user's tone.
3. Use data from previous conversations for a more personalized experience.
4. Let the bot use humor.
You don't want to make your visitors feel like they're talking to an aloof, impersonal robot. By giving your chatbot a little character, you'll make the conversation a lot nicer.
What technology are you using as a base?
There are several AI models you can use as the basis for your chatbot. From open-source solutions to advanced models from large tech companies. Choose a model that fits your purpose, needs and budget. Consider factors such as:
Language support: should your bot be multilingual?
Processing speed: how fast should your bone react?
Adaptability: how easily can you fine-tune the model?
Cost: does it fit within your budget?
Train your chatbot
Think of your chatbot as a new (customer service) employee. The more you train it, the better the results.
1. Collect relevant data from conversations with current customer service, the AI chatbot and new inquiries you see coming in via social media or email.
2. Develop content and enhanced instructions based on common questions.
3. Continually test and refine.
At NXTLI, for example, we noticed that our chatbot was able to answer 30% more questions correctly after intensive training.
Integrate the AI chatbot with your website
Make sure your chatbot looks like it is part of your website. Tune the design to your corporate identity and make the interface personal and user-friendly. A chatbot that looks very different from what you would expect on your website is less likely to be used. Also make sure that the chatbot's location does not interfere with anything else. For example, a cookie notification, an arrow to go up or down on the website or some other application
Ensure proper privacy and data security
We live in an age where there is an increasing focus on privacy and data security. Handle the information users share with your chatbot carefully. Provide encryption and be transparent about data usage.
How do you measure the success of your chatbot?
When setting your goal with the chatbot, it is also important to determine how you will measure success toward achieving the goal. You can think about:
1. Look at how often the chatbot is used.
2. The percentage of correct answers to the questions asked.
2. The time when customer service is less busy handling inquiries.
3. Increasing conversion to inquiries or purchases.
Without clear metrics, you won't know if your investment in time and money is paying off.
Set up a backup
Although developments are rapid, AI is not perfect at this time and still makes mistakes regularly. Therefore, ensure a smooth process to put users in touch with a real human if they get stuck with the chatbot.
Keep your chatbot up-to-date
The world of AI is developing rapidly. Be sure to make regular updates, both in terms of knowledge and technology. Designate someone on your team to be responsible for optimizing and further developing the chatbot.
Be transparent
Be honest about having users talk to an AI and make sure your bot does not exhibit bias or provide misleading information.
Do you also want a good AI chatbot on your website?
Developing an AI chatbot for your website and improving your customer service can be done fairly quickly with the right approach. By paying attention to the points mentioned above, you take the first steps toward a digital assistant that really helps your visitors and can make your customer service and sales much more efficient.
Ready to upgrade your website with a smart AI assistant that offers your visitors the best service 24/7? We'd love to help you with strategy and development.
Invitation to monthly AI inspiration sessions
Together with you, we would like to take a look at the most important AI developments, discuss the latest news and updates, share experiences, inspire each other, take advantage of what is possible and prepare ourselves as well as possible for the changes that are coming.
https://nxtli.com/wp-content/uploads/2024/07/ai-chatbot-tips-tricks.webp386686Michiel Schoonhovenhttps://nxtli.com/wp-content/uploads/2019/10/NXTLI_Next_Level_Impact_Logo-1-300x123.pngMichiel Schoonhoven2024-07-19 07:00:042024-07-19 12:24:33How to build a smart AI chatbot for next level service on your website
Apple is making great strides in the field of artificial intelligence with the introduction of Apple Intelligence. The expanded functionalities that Apple is going to offer include AI and will be launched as part of iOS 18 for Apple smartphones and tablets. According to many critics, the way users are going to use their devices is going to change a lot when these new functionalities arrive. In this article, we discuss what Apple Intelligence is, what its function will be and whether Apple Intelligence will come to Europe.
What exactly is Apple Intelligence?
Apple Intelligence is a collection of AI-driven features designed to make interaction with Apple devices smarter and more intuitive. Using the latest advances in machine learning and artificial intelligence, Apple aims to improve user experiences for IOS users.
These innovations were first announced at the annual Worldwide Developers Conference (WWDC), where Apple presented its latest technologies and software updates. You can learn more about WWDC announcements and highlights in our article on WWDC.
Key features of Apple Intelligence
Advanced voice assistance
Apple Intelligence is going to use advanced language models to significantly improve Siri. These improvements mean that Siri is now much better able to interact with the user because it needs to better understand the context of words and phrases. This means that Siri not only understands commands better, but can also pick up on subtle nuances or ambiguities. As a result, as a user, you will have a much more fluid experience with Siri and it will be better able to perform your tasks or requests.
Getting personalized recommendations
By analyzing in detail user behavior on your device and the privacy preferences you have set, it is able to make personalized recommendations. Whether with apps, music, news or other forms of content, this will therefore make your experience much more personal and user-friendly. This will help you as a user find what you are looking for faster and find out more about what you find interesting.
Enhanced safety features
One of the most important aspects of Apple Intelligence is the integration of security protocols to ensure that you as a user will have more privacy and security. Features already on the iPhones such as facial recognition will be enhanced which will improve security on your devices and help prevent unauthorized access. For Apple, this is an important part because for users who are not already using Apple products, it reinforces their trust in the devices knowing that their personal information will be better protected.
Smart automation
With Apple Intelligence, users will now be able to start automating not only simple but also complex tasks through the Shortcuts app. These automations will be able to learn from and adapt to the user's routines, making these routines increasingly efficient as well.
This means that tasks that were previously manual and time-consuming can now be performed easily and without much effort. Whether it's sending messages automatically at specific times, adjusting settings based on location, or performing a series of actions with a single voice command. Smart automation with Apple Intelligence will make life a lot easier for Apple users.
Apple Intelligence in iOS 18
The launch of iOS 18 brings with it an array of new features and improvements powered by Apple Intelligence. Here's a rundown of some of the most notable updates:
iPhone mirroring 1.
iPhone Mirroring allows users to easily display and control their iPhone's screen from their Mac. This is especially useful for managing notifications, answering messages and performing other tasks without picking up the phone. You can simply leave your Iphone in your bag and control it from your mac.
2. Contextual awareness
Apple Intelligence allows iOS 18 to make contextual suggestions based on what time it is, where you are and what you are doing. For example, it can suggest going to the gym, if you're in the area, or give you recommendations of a particular restaurant you're walking by and what might be on your mind.
3. Improved search functionality.
The search feature in iOS 18 will be more powerful and better thanks to Apple Intelligence. Users can search based on general queries to find apps, photos or other information on their device. In fact, the system will better understand complex queries, making it easier to find exactly what you are looking for.
Is Apple Intelligence coming to Europe?
Apple has announced(WSJ, 21-06-2024) that Apple Intelligence and some other new features of iOS 18 will not be available in the European Union for the time being. The company gives as its reason the requirements of the Digital Markets Act (DMA), which Apple says would compromise users' data security and privacy.
Response from the European Commission
However, Margrethe Vestager, the Danish European commissioner sees Apple's decision not to launch Apple Intelligence in the EU as anti-competitive behavior. Speaking at the Forum Europe event, Vestager said it is noteworthy that Apple indicates it is deploying AI in markets where they are not required to allow competition. She considers this a clear admission that Apple is trying to eliminate competition in markets where they are already strong
Impact on users and developers within the EU
Apple's decision not to launch Apple Intelligence in Europe has major implications for users and developers alike. Users in the EU will not have access to the latest AI features that will be available in other countries outside the EU. For developers, this means they may not be able to take advantage of new tools and API connections that come with Apple Intelligence to enhance their apps.
Future of Apple Intelligence
While Apple Intelligence will not be available in Europe for now, Apple has indicated that these features may be rolled out at a later date (once DMA compliance concerns are resolved). Until then, it remains to be seen how Apple and the European Commission will resolve this.
Apple Intelligence will have a major impact on AI adoption. For many users, this will be their first exposure to advanced AI technology. Such a large-scale introduction to AI can cause them to experience the benefits of AI and become excited about the possibilities and applications AI has to offer.
So while we as Dutch or European users will not have access for the time being, the development of Apple Intelligence remains an exciting advance in the world of artificial intelligence. We therefore look forward to the next developments.
Take a leap forward in your marketing AI transformation every week
Every Friday, we bring you the latest insights, news and real-world examples on the impact of AI in the marketing world. Whether you want to improve your marketing efficiency, increase customer engagement, sharpen your marketing strategy or digitally transform your business,'Marketing AI Friday' is your weekly guide.
https://nxtli.com/wp-content/uploads/2024/07/apple-intelligence.webp386686Julienhttps://nxtli.com/wp-content/uploads/2019/10/NXTLI_Next_Level_Impact_Logo-1-300x123.pngJulien2024-07-16 07:37:192024-07-16 07:58:25Apple Intelligence - Next generation AI within iOS 18
Imagine having a super-smart computer that not only performs tasks for you, but also checks and improves itself. That's exactly what OpenAI recently introduced with CriticGPT.
What is CriticGPT?
CriticGPT is a smart AI assistant that acts as a kind of teacher for ChatGPT. Its job? Spotting and correcting errors in ChatGPT's answers, right now mainly when it comes to computer code. As a result, ChatGPT is getting smarter and making fewer and fewer mistakes.
How does the CriticGPT work?
ChatGPT provides an answer.
CriticGPT views this response with a critical eye.
CriticGPT provides feedback and suggestions for improvement.
The result? Human trainers working together with CriticGPT deliver better results 60% of the time than when working alone.
A step toward AI agents
Experts see CriticGPT as more than just an enhancer for ChatGPT. It is seen as an important step toward "AI agents" that can function in the real world. These are AI systems that can independently perform tasks, make decisions and improve themselves. That is where we are headed with this technology, as you can also see here in the overview of expected developments towards 2030.
And it is not just OpenAI that is working on this. Big players like Google and Anthropic are also pushing similar technologies.
What does this mean for the future?
These developments are happening very quickly and are both impressive and worrisome.
On the one hand, self-improving AI systems can mean huge advances in everything from scientific research to everyday tasks. But once AI reaches a very high level of accuracy and can control and improve itself at lightning speed, an "intelligence explosion" may occur. How will we maintain control then? As a society, we are not yet prepared for this.
Be sure to stay on top of these developments and anticipate them early.
Take a leap forward in your marketing AI transformation every week
Every Friday, we bring you the latest insights, news and real-world examples on the impact of AI in the marketing world. Whether you want to improve your marketing efficiency, increase customer engagement, sharpen your marketing strategy or digitally transform your business,'Marketing AI Friday' is your weekly guide.
https://nxtli.com/wp-content/uploads/2024/07/critic-gpt-1.webp386686Michiel Schoonhovenhttps://nxtli.com/wp-content/uploads/2019/10/NXTLI_Next_Level_Impact_Logo-1-300x123.pngMichiel Schoonhoven2024-07-12 11:57:552024-07-12 12:03:45OpenAI's CriticGPT: AI that monitors and improves itself
Imagine this: you're trying to use AI to write a first draft of a blog post, but you're just missing something in the content and writing style that makes your work so special. Or you let AI come up with ideas for your podcast, but nothing useful comes out. Maybe it's because you're just really good at coming up with relevant topics that appeal to your audience.
This is what experts call your "creative core. It's that essential piece of your creative process that, if someone (or AI) were to take it away, would leave you feeling like you haven't actually created anything. It really pays to dwell on that and discover what that is for you. Because once you know, you can put all your energy into it.
AI as an addition to your creative core
For some of the processes that are outside your creative core, that's what you can very well start using AI for. Use AI tools as an assistant for everything but the one thing you see as your creative core.
Brainstorming: Let AI help you brainstorm and discover new ideas.
Fast research: AI can look up and summarize all kinds of information in no time.
Critical eye: Ask AI for feedback to sharpen your work. For example, the structure of what you wrote, grammar or writing style.
Video and audio editing: You can increasingly use AI to edit webinars or podcasts, for example. Such as improving quality, adding subtitles, converting spoken text to written text (which you can then use again for a blog post) and creating short clips that you can use for social media posts.
Minutes: AI is a perfect assistant to record consultations, summarize and note the action items.
Order in chaos: Use AI to structure your notes and get the gist out of your ideas.
Keep experimenting, training and don't give up too soon
When getting started with AI tools, it's important not to throw in the towel right away if you don't get the results you envision soon enough. Start seeing AI as an assistant that is available to you everywhere 24/7, that you can train and that can help you get better and better. Experiment with different tools and applications, start with small, simple tasks and keep refining your approach.
Sometimes the challenge is in how you ask your question to the AI, or you haven't trained the AI well enough. And sometimes the technology just isn't good enough yet to fully perform a task. But be patient, because as long as AI continues to improve at a breakneck pace, the points you're stuck on now may work well in a few weeks or months.
What is your creative core? And how can you use AI to optimize everything around it, giving you more and more time to do what you love and do best? Think about it, it could just give you new insights and a boost to your creativity.
Take a leap forward in your marketing AI transformation every week
Every Friday, we bring you the latest insights, news and real-world examples on the impact of AI in the marketing world. Whether you want to improve your marketing efficiency, increase customer engagement, sharpen your marketing strategy or digitally transform your business,'Marketing AI Friday' is your weekly guide.
https://nxtli.com/wp-content/uploads/2024/07/creatieve-kern-AI-.webp386686Michiel Schoonhovenhttps://nxtli.com/wp-content/uploads/2019/10/NXTLI_Next_Level_Impact_Logo-1-300x123.pngMichiel Schoonhoven2024-07-12 11:18:432024-07-12 12:01:39Discover your creative core with AI
A dashboard is a visual tool used to display data and performance at a glance. It provides an overview of important statistics and KPIs (Key Performance Indicators) and can help you get quick insights into the status of various processes within an organization. Many companies underestimate the now of using dashboards, but using dashboard can add value in many sectors and help in terms of efficiency and decision making.
Why use a Dashboard?
Using a dashboard brings numerous benefits to businesses. First of all, dashboards provide quick insights. If you use a good dashboard functionality or tool, it makes the data much clearer and easier to understand.
Depending on the type of dashboard you use and for what purpose, you can design dashboards the way you want them. They present data in a visually appealing way, allowing users to quickly identify trends and patterns. In addition, many dashboards offer real-time data, so users always have access to the most up-to-date information, which is crucial for making decisions, both in terms of marketing and business.
Furthermore, dashboards contribute to more efficient decision-making. With all the necessary information in one place, instead of having to use different tools, it is much easier to see everything at a single glance. This increases efficiency and productivity. So by making important information available centrally, teams can work more efficiently and save time. Time that was otherwise used to lie connections to different data sources.
What do you put in a Dashboard?
What you put in a dashboard depends very much on your organization's needs and goals. In general, a good dashboard contains only the most relevant data. This keeps you from being overloaded with data that you don't use and that isn't relevant, and it allows users to focus on the most important data.
If you are going to have a dashboard set up or set up yourself, it is important that it be user-friendly. It should be intuitive and easy to navigate so that users can find the information they need without difficulty.
It is also important that it be interactive. Users should be able to easily zoom in on details to explore specific data sets. Furthermore, it is important that you can also modify the dashboard later. Do your organization's goals or the important elements you focus on change? Then you also want the ability to customize a dashboard.
What Dashboards are there?
There are different types of dashboards, each designed to meet specific needs.
Operational dashboards focus on mapping processes and activities. These can support you in monitoring various tasks and activities.
Strategic dashboards help you create a strategic plan, which is normally more long-term focused. They provide an overview of performance and help companies chart progress against strategically set goals.
Analytic dashboards are used for in-depth analysis and to discover trends and patterns in large data sets. They are ideal for companies that need detailed insights and analysis.
There can also be overlap between different dashboards. For example, our digital reputation monitor is a strategic and analytical dashboard that allows you to map out what your strengths and weaknesses are in terms of social media within the digital playing field, but you can also use it to map out competitors in such a way that you can use the data to know exactly how you can start performing better than competitors.
A dashboard that can monitor your digital reputation
As a content marketing agency ourselves, we deploy several dashboards, but the most important dashboard we usually recommend is a Digital Reputation Monitor. A Digital Reputation Monitor allows companies to get real-time insight into how their brand is perceived online and how their social media is performing. We collect data from many different sources so you can actually see in 1 dashboard all the data you need as a business to grow your business.
Want more w
eat about how this dashboard works or wonder if this could be useful for your business? If so, please contact us.
Take a leap forward in your marketing AI transformation every week
Every Friday, we bring you the latest insights, news and real-world examples on the impact of AI in the marketing world. Whether you want to improve your marketing efficiency, increase customer engagement, sharpen your marketing strategy or digitally transform your business. 'Marketing AI Friday' is your weekly guide.
https://nxtli.com/wp-content/uploads/2024/11/wat-is-een-dashboard.webp386686Julienhttps://nxtli.com/wp-content/uploads/2019/10/NXTLI_Next_Level_Impact_Logo-1-300x123.pngJulien2024-07-11 13:07:002024-11-08 13:10:41What is a dashboard?
