How AI is Revolutionizing Executive Coaching: A New Era of Leadership Development

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Leadership has quickly become an integral part of modern businesses as it is a key aspect of success. Its importance has risen executive coaching to the highest degree as a must-use tool for all businesses. Through it, individuals can refine their leadership skills and improve their overall productivity benefiting both the party and business. However, in the trend of ever-evolving markets, executive coaching is undergoing a significant development. This is of course referring to the rise of artificial intelligence and its application in various systems.

Here we will cover how AI has made its way into executive coaching and what this means for businesses and individuals alike. With that said let's take a look at the ways AI is reshaping the system and benefiting leadership development.

AI Personalization

If you are not familiar executive coaching is personalized coaching aimed at improving the skills and thought processes of an individual. The system functions through regular meetings between a leadership coach and an individual. In these sessions, they work together to identify and improve the flaws and virtues of the individual. This system has proven to be incredibly successful as a tool to prepare leaders for upcoming challenges.

Through the introduction of AI, executive coaching has gained the benefit of even further personalization. By using data analysis and machine learning artificial intelligence can assist in determining an executive's performance, communication style, virtues, and areas of improvement. This eases the process of traditional executive coaching by speeding up the introductory process and allowing users to ease into the experience.

Furthermore, through artificial intelligence leaders get the ability to bounce their ideas off of chatbots in between sessions. This opens up a whole new space for personal growth and improved results during executive coaching. On the other hand, coaches can utilize AI to more easily develop personalized plans for their clients. Overall, the introduction of AI does much for the space of executive coaching and will continue to be a useful tool.

Real-Time Feedback

As we already briefly mentioned, artificial intelligence is very useful for its implications of real-time feedback. These snappy insights are key as they will empower those undergoing executive coaching to grow. This data created and gathered by AI tools can also assist the system by getting a deeper understanding of the leader. Which directly results in better and more personalized plans that focus on the needs of the client. Additionally, this will allow leaders and their coaches to track their progress on certain goals. The immediate feedback is a unique way to gamify the course and keep leaders engaged for longer periods.

Artificial intelligence's applications in this manner also allow for a degree of accessibility in a previously narrow space. As these tools can be utilized anywhere individuals can act independently from their coaches. From here they can grow and prepare for their next session without any issues.

Scalability and Efficiency

Executive coaching is an incredibly popular tool that many businesses can utilize. Its application is much simpler for smaller organizations compared to larger ones. With this comes a significant time cost that takes up a lot of funds and human resources. However, with the integration of artificial intelligence and specialized tools, this problem is almost completely solved. These tools are effective and scalable solutions for any business. Through their ability to uniquely cater to any number of employees, they are the perfect tool for larger businesses.

Furthermore, AI tools are the best way to get consistent coaching experiences across a wide workforce no matter their location. This ensures that everyone gets the same and best treatment possible. These traits create a unified experience and leadership culture within the business at no cost to the employees. Moreover, the accessibility and cost-effectiveness of AI tools make them the best way to execute executive coaching on a large scale.

Enhancing Decision Making

Among all of the virtues executive coaching fosters its most impactful area is improved decision-making. This is a skill that is fundamental for all executives to have as it is considered a critical skill for the role. Without it, executives are not prepared to make the best choices in the ever-evolving state of modern industries. By partaking in executive coaching consistently and preemptively executives can be prepared for any changes and crises that may come up.

Furthermore, this improved decision-making will reduce the risk at all levels of business. Be it navigating internal affairs or organizational changes, executive coaching will ensure productivity. With the integration of more tools such as AI, we are sure to see more benefits come from executive coaching. This makes the future of business very promising and signals a slight shift in the way employees and executives will be trained. However, only time will tell how these systems truly reshape the landscape of business.

by Asim BN via Digital Information World

Study Explores How Digital Maturity Shapes Social Media Connections in Teens

According to a new research published in Computers in Human Behaviour, digital maturity in adolescents can lead to how connected they feel on social media. The research says that teens that are more digitally mature can make more deep connections on social media and it doesn't mean that they have to be more active on social media. This can help them make more friends inline as well as make goals in their social interactions. This raises many questions about social connectedness in adolescents and the use of digital media in their everyday lives. There has been much research done on the use of social media and its effects on the personality of adolescents. But there were only a few studies which talked about digital maturity and its role in social connectedness.

The author of the study, Teresa Koch, said that she aimed to provide an insight about how young people are using social media and digital literacy to form connections in the online world. Many young people are using the concept of digital maturity to learn new things about themselves and the world on the internet. The researchers did two studies, cross sectional one and longitudinal study. In the cross sectional study, there were 257 adolescent participants from Spain and the researchers studied how these adolescents are engaging with their real life friends and holding their goals between social connectedness and digital maturity. The second study was longitudinal study with 316 adolescents and their parents. The study spanned over one year and the researchers studied respectful online behaviour and emotional regulation in adolescents. Parents help in the evaluation of their teens’ online activities like scrolling, posting or commenting.

Digital Maturity Inventory, which assesses respect towards others, regulation of negative emotions and individual growth in digital settings, was used and all the participants in the research were given scores. The adolescents who scored high in the test were found to have more digital maturity, and used online platforms to make their relationship stronger with their in real life friends. This shows that adolescents who are digital mature can keep up with their offline relationships all while being online. It was also found that adolescents who had high scores in digital maturity were also likely to have compassionate goals as they aim to provide emotional support to others. Researchers also found that digital maturity isn't linked with active use of social media, and doesn't always lead to social connectedness.

Image: DIW-Aigen

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by Arooj Ahmed via Digital Information World

Important Announcement: BYDFi is launching an upgraded Perpetual Trading System

BYDFi officially announced that the upgrade of the platform's Perpetual Trading System has been completed. The upgrade not only improves core trading functionalities but also introduces three important functions of innovation and optimization, which comprehensively improve users' trading flexibility and asset security. Details of the features are as follows:

Unrealized Profits Open New Positions: Boost Fund Efficiency

When a user holds a profitable position in the course of trading but has not yet “closed” the position, then the user can use this function to open a new position. This feature allows the user to use this “unrealized profit” as a margin to quickly create new positions and multiply their profits. This breakthrough overcomes the limitations of traditional trading models, allowing users to reinvest funds immediately instead of waiting for settlement. This feature is particularly advantageous in fast-moving markets, enabling traders to seize opportunities and maximize profits.

Hedging for Long-Short Positioning: Master Your Trading Flexibility

Compared with the previous Two-Way Positioning Feature, the new hedging function allows users not only to hold both long and short orders in the same trading pair but also to easily realize risk hedging and income lock. Whether in the face of severe market volatility or when the trend is still uncertain, users can hedge operations to avoid potential risks, due to market fluctuations brought about by the retraction of earnings.

Cross Margin Mode: Shared Funds for Reduced Liquidation Risks

In Cross Margin mode, all the funds in the user's account are aggregated to provide mutual support for multiple positions. That is, the user does not have to manually input the margin every time for each trade, because the system will automatically distribute funds across all open positions. This mechanism reduces the risk of a single position blowing up and enhances the overall stability of the account.

“Listening to users, improving every step.”

"Our focus has always been on meeting user needs and ensuring trading security.” BYDFi product team said. “The BYDFi product team stated that by actively interacting with users, they will continuously adjust and improve the platform's features to meet the diverse needs of the market”.

How to Access These New Features

Now an upgraded version of the perpetual contract system is live. Please log in to BYDFi and enter into the perpetual trading interface to try the new features. Meanwhile, a welcoming interface, having been optimized, makes it easy for users to trade. Detailed guides in the Help Center or online customer service should solve all kinds of problems a user may face.

Please visit the BYDFi website or download the "BYDFi App" for more details.

About BYDFi

Forbes-named Top 10 Best Crypto Exchange, BYDFi is trusted by millions of users worldwide and is recognized by top authoritative media in the industry, like CoinMarketCap and CoinGecko. It currently supports more than 600 tokens for spot trading, with options for leverage from 1x to 200x to suit every investment strategy. Its integration with leading global payment providers, including Banxa, Transak, and Mercuryo, provides ease of purchase for cryptocurrencies, making it possible to invest in crypto at low cost.

Soon, "BYDFi Copy Trading" will enable users to copy strategies from the top traders in real-time with one click on the synchronized operation. BYDFi is dedicated to providing users with a world-class crypto Trading experience. BUIDL Your Dream Finance.

Contact BYDFi

For inquiries and support, you can reach us via the following:

• Website: https://www.bydfi.com
• Support Email: CS@bydfi.com
• Business Partnerships: BD@bydfi.com
• Media Inquiries: media@bydfi.com

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by Asim BN via Digital Information World

Study Highlights Concerns Over AI Misuse Despite Widespread Adoption

A new survey by Rutgers University New Brunswick found out what public thoughts on political and media impact of artificial intelligence as well as an increase in adoption of AI in our daily lives. Respondents said that they are worried about the impact of AI on politics (58%) while some said that they are concerned about the impact of AI on news media too (53%). Researchers say that many people are worried because they are afraid of misinformation and manipulation AI can spread which was widely seen in US elections in 2024. 41% of the respondents also think that AI cannot protect their personal information so giving it your personal information is extremely harmful.

Even with the concerns regarding AI, the survey showed that one-third of the respondents have used AI to ask health related questions or other specific questions which require people to give their personal information. For the survey, 5000 people belonging to different ages, genders, demographics and geographical regions were surveyed. A co-author of the report, Katherine Ognyanova, says that they wanted to survey people because of how quickly people are being dependent on AI. As AI tools have potential to be implemented in all types of industries, it is important to know how people are using AI and perceiving it. Everyday, people are rapidly changing their opinions about AI and it is important to know how news and media is changing their narratives.

53% of the respondents of the survey use AI tools like Gemini, ChatGPT and Claude. It was also found that 90% of the Americans have heard of AI, with 51% recognizing AI as generative AI and 12% being familiar with the term ‘large language model’. There's also a demographic disparity in the usage of AI with male, better educated, higher income people and young using AI more than others. 48% of the respondents were also in support of using AI for household chores, but 57% of them not in favour of using AU for surgery and 53% not favoring AI driving vehicles. There were 30% of the respondents who said that they come across AI generated text or summary daily, while 86% of them find those summaries and texts helpful.

Researchers are planning to conduct the same type of surveys every year three times to know the ever evolving opinions of Americans related to AI. The reports through those surveys will help researchers understand how people perceive AI adoption, AI generated content and role of AI in jobs and industries.

Read next: Study Exposes LLM Safety Loopholes Despite Advanced Training Measures
by Arooj Ahmed via Digital Information World

Study Exposes LLM Safety Loopholes Despite Advanced Training Measures

Sometimes, when you ask AI a question that has been restricted by the system, AI answers that it cannot reply to that kind of question. But a new study shows that users can easily convince AI to answer harmful questions even if the LLMs have gone through safety training. Large language models can easily get manipulated to spread misinformation, produce toxic or harmful content or support harmful activities. The new research done by EPFL found that even if LLMs have gone through the most recent safety training, they can still generate deviant answers after some convincing prompts.

The researchers found that the most recent LLMs are also prone to jailbreaking attacks, with a 100% successful attack rate on many LLMs like Claude 3.5 Sonnet and GPT-4o. Attacks that challenge the defense model of LLMs can easily be made, and can convince or manipulate LLMs to give out information that they are not supposed to. The researchers used a dataset of 50 harmful requests received on LLMs and after doing experiments with different LLMs, they got the perfect successful jailbreaking score(100%). It was found that different LLMs are vulnerable to different prompts. There are also some vulnerabilities in the Application Programming Interface of some LLMs that need to be restricted in the settings.

The researchers said that it is important to test both adaptive and static techniques to find out how easily an LLM can be manipulated. They said that experimenting by applying existing attacks on LLMs may not give out the desirable and accurate results. The results of this study have been forwarded to companions of AI models. This thesis of the researcher Maksym Andriushchenko got him Patrick Denantes Award as this research of his is important for safety of the users as well as AI agents.

Read next: Generative AI Awareness and Usage Soar, But Premium Smartphone Adoption Faces Challenges
by Arooj Ahmed via Digital Information World

Generative AI Awareness and Usage Soar, But Premium Smartphone Adoption Faces Challenges

According to a new survey conducted by CounterPoint Research, 32% of the people from countries like Japan, France, UK, Canada, Poland, USA and Germany are familiar with generative AI (GenAI) tech. The people from North America are most familiar with GenAI, with 72% of the respondents saying that they have heard of it. On the other hand, only 7% of the people in Japan are familiar with generative AI (GenAI). The biggest source of using generative AI tools is through smartphones, and Gen-Z are the most likely to use GenAI technology as well as three-fourths of respondents in the survey. As GenAI is getting popular, 59% of the respondents of the survey said that they are going to purchase a smartphone with GenAI capabilities. Most of the respondents who said so were from Germany, US and France.

This survey was taken among more than 3,535 respondents from 7 different countries to know how aware they are of generative AI, what they think about the impact of generative AI and what’s their stance on purchasing a GenAI smartphone. According to the survey, 69% of the respondents also think that using generative AI can help them save their time, which means that these people think that GenAI is doing value addition in their life. There were 73% of the respondents who said that they have used generative AI on their smartphones, and there are also one-thirds of the respondents who said that they don't mind paying some extra for GenAI smartphones.

The research director at Counterpoint, Tarun Pathak, said that generative AI has quickly become popular because it provides endless benefits in all sectors of life, from professional to educational. He also said generative AI can help a lot in writing and as writing is a skill needed in almost every area of life, GenAI has become nothing short of an assistant for people. As many people are using generative AI tools, GenAI smartphones also hold value and can influence users on their smartphone purchasing behaviour. But many consumers still have no idea about this emerging tech which can become a problem in GenAI smartphone sales. Smartphone manufacturers need to adopt better strategies to attract users towards GenAI smartphones as only 19% of the respondents of the survey are willing to pay for premium GenAI smartphones. They can offer LLM services to developers and monetize applications as an alternative revenue stream.

Read next: BMJ Study Finds Cognitive Weaknesses in AI Models, Challenging Human Replacement Claims
by Arooj Ahmed via Digital Information World

Blockchain + AI: Decentralized Machine Learning Platforms Changing the Game

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The convergence of blockchain technology and artificial intelligence, as demonstrated by the meteoric rise of meme tokens like Pepe Coin, is ushering in a new era of decentralized computing that promises to democratize access to advanced machine learning capabilities. This revolutionary combination is not just changing how AI models are trained and deployed – it's fundamentally transforming the economic landscape of technological innovation.

As we examine this technological synergy more closely, it becomes clear how decentralized systems are reshaping the traditional power structures in AI development.

The Foundation of Decentralized AI

Tech giants with vast computing resources and proprietary datasets have long dominated traditional AI development. Companies like Google, Amazon, and Microsoft have maintained a virtual monopoly on advanced AI capabilities, creating a significant barrier to entry for smaller players and independent researchers. However, the introduction of blockchain technology and cryptocurrency incentives is rapidly changing this paradigm.

Decentralized machine learning platforms leverage blockchain's distributed nature to create vast networks of computing power. These networks function like a global supercomputer, where participants can contribute their unused computing resources in exchange for cryptocurrency tokens. This model not only makes AI development more accessible but also more efficient and cost-effective.

The Economic Incentive Model

The brilliance of combining cryptocurrency with decentralized AI lies in its economic incentive structure. Participants in these networks are rewarded with native tokens for contributing resources, whether that's computing power, data, or AI models. This creates a positive feedback loop where:

1. Contributors are incentivized to provide more resources to the network
2. Developers gain access to affordable computing power and datasets
3. Users benefit from increasingly sophisticated AI services
4. The overall ecosystem grows in value as more participants join

Network participants can earn tokens by providing various resources:

• Computing power for training AI models
• Storage space for distributed datasets
• High-quality data for training purposes
• Validated AI models ready for deployment
• Verification services for ensuring data quality

Technical Infrastructure and Implementation

The technical architecture of these platforms typically consists of several key components. Smart contracts manage the distribution of computational tasks and token rewards, ensuring transparent and automatic execution of agreements between parties. Distributed storage solutions like IPFS (InterPlanetary File System) handle the massive datasets required for AI training, while blockchain networks maintain an immutable record of transactions and model provenance.

Federated learning techniques are often employed to train AI models across distributed networks without centralizing sensitive data. This approach allows multiple parties to contribute to model development while maintaining data privacy and reducing bandwidth requirements.

Challenges and Future Developments

Despite the promising potential, decentralized AI platforms face several challenges that need to be addressed for widespread adoption:

• Security concerns remain paramount, as distributed networks must protect against malicious actors while maintaining performance. Platform developers are implementing sophisticated verification mechanisms and reputation systems to ensure network integrity.
• Scalability presents another significant challenge, as blockchain networks must handle the massive computational requirements of AI training while maintaining reasonable transaction speeds and costs. Layer-2 solutions and improved consensus mechanisms are being developed to address these limitations.
• The regulatory landscape around both cryptocurrency and AI remains uncertain in many jurisdictions, potentially affecting platform development and adoption. Industry leaders are actively engaging with regulators to establish clear frameworks that protect users while fostering innovation.

Impact on the AI Industry

The rise of decentralized machine learning platforms is democratizing access to AI technology in unprecedented ways. Small businesses and independent researchers can now access computing resources and datasets that were previously available only to large corporations. This democratization is leading to the following:

• Increased diversity in AI development and applications
• More rapid innovation through collaborative development
• Lower barriers to entry for AI startups
• Greater competition in the AI services market
• Improved transparency in AI model development

Looking Ahead

The future of decentralized AI platforms appears bright, with several emerging trends likely to shape the industry:

• Edge computing integration will enable more efficient processing of AI tasks by leveraging distributed computing resources closer to data sources. This will reduce latency and improve real-time applications.
• Cross-chain interoperability will allow AI resources to be shared across different blockchain networks, creating a more connected and efficient ecosystem. This will enable greater flexibility in resource allocation and token utilization.

As these platforms mature, we can expect to see increasingly sophisticated applications in fields such as healthcare, finance, and scientific research. The combination of blockchain's security and transparency with AI's analytical capabilities creates possibilities for solving complex problems in ways previously not possible.

The convergence of blockchain and AI through decentralized machine learning platforms represents a significant shift in how we develop and deploy artificial intelligence. By democratizing access to AI resources and creating economic incentives for participation, these platforms are fostering a new era of collaborative innovation that promises to accelerate technological progress while making it more accessible to all.

by Web Desk via Digital Information World