SwissCognitive Guest Blogger: Zachary Amos – “How AI Reduces Physician Burnout”

Burnout rates among health care providers have been on the rise since the pandemic, with severe implications for broader public health. Advanced artificial intelligence systems can play a critical role in addressing this challenge, improving work-life balance among physicians for better patient outcomes. Explore the different ways to implement AI and machine learning (ML) to help mitigate physician burnout.

1. Automating Administrative Tasks

In a recent survey of 1,000 medical professionals, 93% said they felt burned out regularly. Nearly 50% considered quitting their jobs or stopping patient consultations altogether because of the pressures associated with the job.

One of the biggest causes of this work fatigue is excessive administrative tasks, such as scheduling, billing and documentation. According to Statista, 62% of U.S. physicians in the United States found these bureaucratic functions increasingly cumbersome, contributing immensely to burnout.

AI can automate routine administrative duties, allowing doctors and nurses to focus more on patient care. For example, AI-powered natural language processing (NLP) tools can transcribe physician-patient conversations into electronic health records, reducing the time spent on data entry. Physicians must carefully review notes before uploading them, but the time saved is still significant and can go a long way in reducing work stress.

2. Addressing Staff Shortages

The health care sector has been coping with a sustained worker deficiency since the pandemic — and things appear to be worsening. Experts estimate the U.S. will face a shortfall of 124,000 physicians and nearly 200,000 nurses by 2030.

As a result, medical staff spend more hours at work, increasing job dissatisfaction. Around 37% of burnout cases stem from this issue, highlighting the need for innovative solutions.

AI tools can effectively bridge gaps in health care worker shortages by automating routine monitoring tasks, allowing doctors to focus on more complex patient needs. For instance, these systems can continuously track vital signs and health metrics, alerting providers only when intervention is necessary. These real-time insights enhance decision-making capabilities for existing staff, enabling them to manage larger patient loads more efficiently.

3. Predictive Analytics for Patient Management

Health care analytics can contribute to stress and burnout by overwhelming doctors with excessive data and complex reports requiring time-consuming analysis. The pressure to quickly interpret vast amounts of information can lead to cognitive overload, reducing job satisfaction.

Additionally, analytics tools that are poorly integrated into workflows can create inefficiencies, forcing physicians to spend more time on non-patient tasks. This imbalance between data demands and actual clinical work can exacerbate feelings of frustration, ultimately leading to increased burnout.

Advanced ML systems can identify patterns and anomalies in patient data much quicker than humans, allowing for proactive care management. For example, AI predictive analytics can enhance early disease detection with up to 95% accuracy, alleviating the workload burden on physicians. These insights can also help forecast which patients are at risk of hospital readmission, enabling early intervention.

4. Bridging Training Gaps

Inadequate training or resources can significantly contribute to burnout. Physicians become frustrated when unprepared for work challenges, whether due to rapid advancements in medical technology, evolving treatment protocols or complex patient cases.

ML-driven platforms can assess individual knowledge gaps and learning preferences to create tailored training programs. These systems can work directly with AI-based virtual reality and augmented reality simulations, allowing health care professionals to practice procedures in a risk-free environment.

This targeted training helps physicians feel more prepared, improving decision-making and reducing anxiety during patient care. Additionally, increasing competence and procedure familiarity can shorten the learning curve, allowing doctors to manage their workloads more effectively and ultimately decreasing burnout.

AI Is Vital to Physician Fulfillment

Integrating AI in health care presents a promising avenue for reducing stress and improving overall career fulfillment. AI and ML systems can improve work-life balance by automating administrative tasks, addressing skilled labor shortages and streamlining clinical processes. As these technologies evolve, their potential impact on physician well-being will likely grow, contributing to improved job satisfaction and patient care quality.

About the Author:

Zachary Amos is the Features Editor at ReHack, where he writes about artificial intelligence, cybersecurity and other technology-related topics.

Der Beitrag How AI Reduces Physician Burnout erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Dilshad Durani – “How AI-Generated Creative Assets For Ads Help B2B Marketers?”

Do you know that well-known platforms including Google and Linkedin are adapting to AI-generated creative assets for ads?

They are doing so as it helps them provide advanced tools that satisfy B2B marketers’ requirements for improving their advertising strategy. Read this blog to find out more about how AI-generated creative assets for ads help B2B marketers.

Power of AI: How AI-Generated Creative Assets are Proven Game Changers for B2B Marketing?

AI is used by marketers for one or other purposes. According to a Statista report, more than 90% of marketing professionals across 35 countries use AI to automate customer interactions, while 88% of them use it to personalize the customer journey across channels.

Source: Statista

AI-generated creative assets provide various benefits across various aspects of advertising strategies. AI technology usage can help marketers streamline business processes, improve efficiency, and scale campaigns.

Implementing AI optimizes ad spending after analyzing data to target audiences with personalized content which ultimately leads to improved ROI. Moreover, this modern technology ensures consistency in advertising. AI helps to improve productivity and implement innovative approaches to engage customers, helping B2B marketers to grow in today’s competitive market.

LinkedIn’s Innovations with AI in Advertising

LinkedIn has recently introduced several enhancements aimed at empowering B2B marketers through AI-generated creative assets. Wire Programs is one of them, it can be integrated in-stream video ads with premium publisher content. It expands B2B ads’ reach and also ensures the ads are placed in relevant contexts.

Additionally, LinkedIn’s Accelerate tool utilizes AI to streamline campaign management. It offers functionalities like Microsoft Designer integration for creative customization, enhanced targeting capabilities through exclusion lists, and an AI marketing assistant that provides valuable campaign guidance.

Google’s Approach to AI in Advertising

AI-generated creative assets for ads are also introduced by Google which delegates businesses to provide personalized experiences to their targeted audience. The transformation of artificial intelligence helps marketers redefine how the ad campaign is carried out to reap fruitful results.

With Google adopting this change, AI-driven ads are set to change the face of B2B marketing, opening possibilities of budding strong connections with their targeted audience on a deeper level via innovative approaches.

Generative AI use enables brands to automatically create assets that meet their branding guideline. This can prove to be beneficial for painting consistency across all the advertising channels. Besides it also ensures that your ads campaign helps you provide a personalized experience to your targeted audience.

The immersive ad format is also being introduced by Google, these include:

• Virtual try-ons
• 3D visualizations

The above-listed ad format uses AI to provide an improved experience to your targeted audience. This empowers brands to showcase their products and services in more improved and engaging ways which was not possible for them previously.

YouTube’s Innovative Ad Strategies: Spotlight Moments

YouTube pioneers unique AI-powered ad strategies with initiatives like Spotlight Moments. This advanced functionality helps to identify the trendy moments including award shows or sports events, facilitating advertisers to run ads across relevant streaming content. This helps B2B marketers ensure that their ads can create maximum engagement across all YouTube channels.

Two campaigns further import the effectiveness, these include:

• YouTube’s AI-driven Video Reach
• YouTube’s AI-driven Video View

The above-listed approaches have resulted in significant growth in reach. Compared to the traditional approach it results in a per-impression cost decrease. YouTube’s AI-driven ad delivery and targeting helps marketers improve their ad reach and deliver engaging messages.

Incorporating a streaming platform like YouTube into AI-powered advertising strategies allows brands to invest in platform engagement capabilities. This helps to boost the ad’s visibility and ensure that it is visible to viewers at the right time, resulting in rising business profits.

The video-sharing platforms remain at the top as they continuously adapt to change with AI-driven ad solutions like Spotlight Moments. This helps YouTube to provide unparalleled opportunities for marketers to reach their targeted ways in meaningful ways.

Disney’s Implementation of AI in Advertising

Disney has embraced AI in its advertising strategy, particularly in optimizing ad placement and creative development. Rita Frow, Disney’s president of Global Advertising, highlights the use of AI in their advertising technology stack.

AI algorithms are utilized to optimize yield across their tech stack, from ad placement to creative management. This approach allows Disney to enhance targeting precision and optimize ad performance based on real-time data insights.

Disney uses AI in different processes to efficiently manage creative content. It helps video streaming platforms to streamline their workflows and maintain a high standard of streaming content offering. AI integration helps to boost Disney’s ad campaign efficiency to resonate with audience expectations.

Benefits of AI-Generated Creative Assets for B2B Marketers

Don’t you agree that AI has introduced a new era of efficiency in B2B ad campaigns?

Of course, it has more in creative asset development. There are lots of perks waiting on the way for B2B marketers who are using or thinking of using AI-generated creative assets to improve their ads approach and overall business outcomes.

Cost-Effectiveness and Improved ROI

Do you know that AI-powered tools optimize advertising spending?

It analyzes a great amount of information to identify the most effective targeting parameters and content variations. This targeted approach reduces wasted ad spend and improves ROI by ensuring that marketing budgets are allocated towards high-performing strategies.

McKinsey reports that companies using AI for marketing and sales initiatives see an average increase in leads and appointments of more than 50%, and cost reductions of 40-60% in areas such as call center operations and predictive maintenance.

Personalization at Scale

Offering improved and better experience is the backbone of a B2B advertising campaign. AI helps to analyze data and deliver personalized experiences to their segmented audience. It helps them to deliver tailored content that meets their audience’s behaviors.

Real-Time Optimization and Insights

Real-time insight and AI-driven analytics help marketers track customer behavior and their viewing habits. This in the end facilitates marketers to optimize their ad campaigns, driving more engagement and profit for brands.

PwC artificial intelligence study shows that organizations utilizing AI in marketing are 2.6 times more likely to surpass their revenue targets compared to those brands that don’t invest in this modern tech.

Source: PwC

Consistency in Brand Messaging

It becomes essential for brands to maintain brand messages across different channels as it helps to build trust. AI-generated creative asserts brand voice, regardless of the targeted segment or platform brands use.

Future Outlook

AI’s future in B2B marketing is undoubtedly optimistic. Modern technology including NLP, ML, and predictive analytics improves the complexity of AI-generated creative assets. Additionally, AI integration with other technologies like AR and VR opens unexplored possibilities for marketing approaches.

AI-generated creative assets represent a paradigm shift in B2B marketing, providing unparalleled efficiency and personalization capabilities. AI technologies implementation helps B2B marketers streamline their operations and engage their targeted segments, resulting in sustainable growth in today’s competitive market.

About the Author:

Dilshad Durani is a seasoned Digital Marketer and Content Creator currently contributing her expertise to the dynamic team at Alphanso Technology, a leading company specializing in Soundcloud clone and open-source event ticketing system development. Her insatiable curiosity fuels a relentless pursuit of knowledge, driving her to unravel the intricacies of changing trends, evolving marketing approaches, and ethical business practices.

Der Beitrag How AI-Generated Creative Assets For Ads Help B2B Marketers? erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Dalith Steiger and Andy Fitze, Co-Founder of SwissCognitive, World-Leading AI Network
Copyright: moneycab.com – “MWC24: Eine Revolution in der Welt der Technologie (MWC24: A revolution in the world of technology)”

Highlights and innovations at MWC24

MWC24 showcased an impressive array of innovations and technologies that are pushing the boundaries of connectivity. From the launch of new wearables with a fashionable design focus to comprehensive reports on the future of telecoms technology paving the way for new devices and technologies, MWC24 offered an insight into the industry’s most exciting developments. The variety of really good-looking products, such as the OPPO Air Glass 3 smart glasses, the Samsung Galaxy Ring, and the various Huawei fashion wearables, ranging from smart headphones to smartwatches, left visitors in awe. Companies are striving to develop really good-looking products.

Breaking through barriers: The campaign to bridge the usage gap

Discussions also focused on important topics such as closing the usage gap and promoting digital inclusion. The usage gap, which excludes millions of people worldwide from the benefits of the internet, remains a pressing challenge. The GSMA’s Breaking Barriers campaign aims to close this gap and ensure that everyone has access to the internet. Asisat Oshoala, the ambassador for this campaign, is committed to ensuring that the younger generation has access to the internet by using her own foundation and the Asisat Oshoala Academy to teach digital skills.

The evolution of connectivity: from 4G to 5.5G

Mobile technology has evolved rapidly in recent years to meet the growing need for connectivity in an increasingly connected world. While 4G was mainly aimed at connecting people and things, 5G has already expanded connectivity in the home. However, with the introduction of 5.5G, the boundaries are being pushed again to enable even broader connectivity, including the vehicles and the industry.

The benefits of 5.5G:

Connectivity for vehicles: 5.5G enables the seamless integration of vehicles into the Internet of Things, leading to greater safety, more efficient traffic management and new entertainment and communication options.

Connectivity for industry: The integration of 5.5G into industrial applications and production processes will enable seamless communication between machines, sensors and other devices.

Better performance and efficiency: 5.5G will increase bandwidth, reduce latency, and increase data volumes, resulting in faster and more efficient connectivity.

Further developments and innovations

In addition to advances in connectivity, other important topics and developments were also discussed at MWC24. The partnership between the European Space Agency (ESA) and the GSMA Foundry to drive innovation in terrestrial satellite communications was one of the most exciting pieces of news.

The dominance of 5G and the future of 5.5G

New figures from GSMA Intelligence showed that 5G is expected to account for more than half of all mobile connections by the end of the decade.

5G has proven to be the fastest-adopted mobile generation and is expected to reach 5.5 billion connections worldwide by 2030. This development will fundamentally change the way we communicate, work and live. 5.5G will enable even greater connectivity between people, things, homes, vehicles and industries. This will play a key role in shaping our connected and digitized future.

The role of open access [Open Gateway] at MWC24

While artificial intelligence (AI) was undoubtedly the focus of MWC24, the Open Gateway also played an important role. Major mobile operators such as Telefónica, Orange, Deutsche Telekom and Vodafone are showing increasing interest in using the Open Gateway to develop and share a growing number of APIs to monetize their 5G networks. These APIs provide developers with universal access to operator networks under the umbrella of the GSMA’s Open Gateway Initiative.

Demonstrations and use cases

Various demonstrations were shown at MWC24 to illustrate the versatility of Open Gateway. For example, Telefónica enabled visitors to immerse themselves in a multi-camera sporting event with the help of virtual reality headsets. The Open Gateway made it possible to experience the event with 180- and 360-degree views “in the best service quality” and without interruptions.

Increasing importance and support

The importance of the Open Gateway was also underlined by industry leaders, including Mats Granryd, Director General of the GSMA, and José María Álvarez-Pallete, Chairman and CEO of Telefónica. According to the GSMA, almost 50 mobile operator groups, representing around 65% of global connections, have now signed up to the Open Gateway initiative.

Opportunities and risks

Opening up networks to developers through Open Gateway offers mobile operators enormous opportunities to offer new and innovative services. A study by McKinsey & Company shows that the market for network APIs could generate between 100 and 300 billion dollars in revenue for operators over the next five to seven years. However, the company warns that operators will not be the only ones competing for this lucrative market.

MWC Barcelona 2024 in numbers

MWC Barcelona 2024 attracted more than 101,000 unique attendees from 205 countries and territories, with more than 59% of attendees representing industries outside the core mobile ecosystem. With more than 2,700 exhibitors, sponsors, and partners and over 1,100 speakers and opinion leaders, of which more than 40% were women, MWC24 was an impressive gathering of the industry’s leading minds and innovators.

Summary and outlook

Mobile World Congress 2024 was another milestone in the evolution of the technology industry. With groundbreaking innovations, important discussions and pioneering partnerships, MWC24 showed that the future of technology is bright and full of possibilities. As we prepare for the launch of 5.5G and beyond, we are on the brink of an exciting era of connectivity that has the potential to change the world as we know it.

Original article: www.moneycab.com

Der Beitrag MWC24: A Revolution In The World Of Technology erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright: techeconomy.ng – “The Evolution of Mental Health and the Emergence of AI: From Stigma to Greater Understanding”

However, in recent years, there has been a growing movement to break down the stigma surrounding mental health and promote greater understanding.

One of the most promising developments in this field is the emergence of artificial intelligence (AI). AI has the potential to revolutionize the way we diagnose, treat, and prevent mental health issues.

Tolulope Ijitade, Tech Entrepreneur and Advocate for Digital Transformation.

“In the fast-paced and pressurized world of innovation, real-time access to mental health support is no longer a luxury, but a necessity. Innovators push boundaries, challenge the status quo, and constantly face the unknown. This can take a toll on their emotional well-being. Real-time mental health support, powered by AI, can provide them with the tools and resources they need to navigate challenges, maintain resilience, and continue to thrive in their endeavors. Investing in accessible and immediate support for our innovators is not just about individual well-being, but about nurturing the very engine of our collective progress,” Tolulope Ijitade, Tech Entrepreneur and Advocate for Digital Transformation.

AI for Mental Health

AI-powered tools and applications are revolutionizing the way we approach mental health. These solutions offer a range of benefits, including:

• Increased accessibility: AI platforms can provide 24/7 access to resources and support, overcoming geographical limitations and reducing wait times for traditional therapy.
• Personalized care: AI algorithms can analyze individual data and tailor interventions to meet specific needs and preferences.
• Early detection: AI-powered tools can help identify early signs of mental health challenges, allowing for timely intervention and prevention of more severe issues.
• Empowerment: AI applications can empower individuals to take control of their mental well-being through self-management tools and personalized feedback.
• Stigma reduction: By normalizing conversations and promoting understanding, AI can play a crucial role in destigmatizing mental health issues.
• Cost-effectiveness: AI-powered solutions can also offer a more cost-effective alternative to traditional therapy, making mental healthcare more accessible for a wider population.

The integration of AI into mental health care presents a promising future for individuals seeking support. By leveraging the power of technology, we can break down barriers, foster greater understanding, and empower individuals to thrive.

As Nonye Ekpe, CEO of Balm.ai, aptly states: “AI has the potential to democratize access to mental health care and empower individuals to take charge of their well-being. We are witnessing a revolution in the field of mental health, and AI is at the forefront of this transformation.”

Nonye Ekpe, CEO of Balm.ai

Switzerland: A Powerhouse for AI in Health and Mental Health

Nestled amidst the Alps, Switzerland has emerged as a global leader in the field of AI innovation, particularly in the realm of health and mental health.

Renowned for its robust research ecosystem, strong academic institutions, and a supportive government, Switzerland fosters a unique environment where cutting-edge technologies like machine learning and deep learning are being harnessed to revolutionize healthcare delivery and mental health support.

From pioneering AI-powered tools that diagnose and personalize treatment plans for mental health conditions to developing AI-driven chatbots that offer accessible and stigma-free support, Switzerland is at the forefront of shaping a future where technology empowers mental well-being and empowers individuals to thrive.

Switzerland consistently stands out as a global powerhouse of innovation, education, and quality of life.

Internationally recognized for its unparalleled achievements, it holds leading positions in a variety of domains: being the most innovative country worldwide, boasting top-notch universities with unmatched international acclaim, and delivering an exceptional quality of life that resonates with both its citizens and expatriates.

These accomplishments, evidenced by numerous international rankings, emphasize Switzerland’s pivotal role in setting global benchmarks, driving businesses, industries, and societies toward excellence and sustainable growth.

Zurich, Switzerland stands out as a hub of AI innovation, marrying the country’s legacy of precision with technological advancement.

ETH Zurich, the Switzerland’s prominent institution, serves as a foundational pillar for AI research. Switzerland’s consistent emphasis on precision aligns perfectly with AI’s demand for accuracy. In addition, Zurich offers AI professionals a blend of technological growth, a stable economy, and an exceptional quality of life, ensuring both professional success and personal contentment.

Western Switzerland is a nexus for AI research and innovation, hosting world-renowned institutes like the EPFL in Lausanne, the Idiap Research Institute in Martigny and CAIM (Center for Artificial Intelligence in Medicine), which has been founded back in 2021 by the University of Bern and Bern University Hospital to shape the digital healthcare future.. It’s the birthplace of influential AI platforms like Torch.

Actors like the UN, ITU in Geneva and WEF in Davos are already managing important global AI activities from Switzerland. Building onto this reputation, Switzerland becomes the world leader for AI governance and ethically  implemented cognitive technologies.

The UN transferred their AI Center to Geneva back in 2017.  Also, the first AI for Good Global summit took place from 7 to 9 June 2017 in Geneva. Basel is the Health and Pharma center in Switzerland with Novartis and Roche.

A Case Study in AI-powered Healthcare Solutions from Switzerland

VAY.ai is a Swiss digital health startup based in Zürich, Switzerland that effortlessly digitizes human movements with a computer vision software.

Providing the highest personalization to users through precise motion analysis and real-time feedback for physical therapy, rehabilitation, and digital health apps, for accurate diagnosis, personalized treatment plans, and engaging therapy experiences, to achieve better health outcomes,.

This reduces stigma, increases accessibility, and empowers patients with tools for emotional regulation and coping skills, ultimately leading to a brighter future for mental well-being.

Biped.ai is an AI-powered navigation device maker for blind and visually impaired people. A Swiss Health Tech Solution.

Innovative Digital Healthcare Solutions in Nigeria

HealthConnect24×7 is a Nigerian digital healthcare startup based in Yaba, Lagos, Nigeria that combines next generation telemedicine, telemonitoring and home health to provide their customers with immediate access to highly trained and experienced doctors and wellness experts for acute and chronic condition management and advice via voice/video calls, live chat as well as on-site care.

Youper.ai, Effective mental health digital therapeutics powered by artificial intelligence.

Youper combines psychology and artificial intelligence to understand users’ emotional needs and engage in natural conversations.

A study published in the Journal of the American Medical Association identified Youper as the most engaging digital health solution for anxiety and depression.

Although, in the United States, innovative technology-based interventions have been developed to reduce stigma toward people with mental illness.

These interventions have demonstrated usefulness in stigma reduction and have summarized the latest advances, aligning with the growing interest and need for the application of new technologies in the field of mental health.

This evolving landscape reflects increasing mental health literacy and a reduction in stigmatizing attributions, marking a promising trend towards greater understanding and acceptance of mental health challenges.

Image credit: Screeshot of Youper.ai

AI Advancing Mental Health Solutions

With continued development and responsible implementation, AI has the potential to significantly improve the lives of millions of individuals around the globe.

The journey towards greater understanding and accessible mental health support for all is well underway, fueled by the power of AI and the dedication of individuals like Nonye Ekpe and her team at Balm.ai.

One way that AI is being used to improve mental health outcomes is by providing personalized treatment plans. AI algorithms can analyze data about a person’s mental health to identify the most effective treatment plan for them.

AI is also being used to improve the early detection of mental illness. AI algorithms can analyze data from wearable devices, such as smartphones and smartwatches, to identify early signs of mental illness.

The history of mental health care is laden with instances of cruelty and inhumanity inflicted upon those struggling with mental illness. From ancient societies that saw mental disturbances as divine punishment or demonic possession, through the dark ages of asylums and institutionalization, to the dawn of modern psychiatry, the journey of mental health care is a testament to societal evolution and our expanding understanding of the human mind.

Commencing with the digital revolution, the technologization of mental health care took on an unprecedented journey, from the internet’s widespread deployment to the expansive world of mobile applications and digital platforms.

The proliferation of smartphones brought mental health care to the palms of people’s hands, and the Internet’s accessibility facilitated the provision of therapy anywhere, anytime. More individuals began seeking help, and providers have reaped the rewards of technology’s reach.

Smartphone Users (Source: nairametrics.com)

And now, at the forefront of this journey lies artificial intelligence, a burgeoning field that, as if standing on the shoulders of history’s giants, promises to catapult mental health care into even greater heights.

AI has proven its potential across a variety of sectors such as healthcare, gaming, and finance, showcasing its ability to work creatively and symbiotically with human intelligence.

The tale of AI’s growing involvement in mental health care unfolds through several pioneering projects and use cases. From emotionally intelligent chatbots offering 24/7 mental health support to virtual reality exposure therapy, the range of AI-driven treatments and interventions is flourishing like never before.

AI’s promise lies in its ability to harness vast amounts of data through machine learning algorithms and extract insights that are unattainable by human capabilities alone.

For instance, AI’s proficiency in natural language processing allows it to analyze immense volumes of text-based data, helping psychologists in detecting and understanding patients’ emotional states with unparalleled precision.

This invaluable information aids providers in developing personalized treatment plans tailored to the unique needs of patients. Furthermore, AI’s potential in mental health accessibility is palpable, with the power to grant aid to those who have been out of reach for so long.

Significant developments in AI-driven mental health care solutions have been observed in various settings, from the workplace to personal self-care practices.

The integration of AI-powered emotional intelligence tools into organizational structures offers employees improved well-being and productivity, while AI-enhanced meditation applications lend newfound efficacy to the ancient art of mindfulness.

These noteworthy advancements in AI technology, while invaluable, must be tempered by prudent considerations of ethics, cross-cultural sensitivities, and potential limitations. The marriage of mental health care and AI can prosper only through a conscientious alliance that prioritizes empathy and personalized treatment.

As we stand at the precipice of a new era in mental health care, the future appears promising. Embracing AI-powered tools and technologies brings forth an unprecedented opportunity to revolutionize how we approach mental health, reach underserved communities, and build a more inclusive, healthier society.

It is upon the wings of AI that the field of mental health care can soar even higher, transcending boundaries, limitations, and leaving behind the shadowed past.

The advent of the internet as a platform for mental health care treatment marked a significant turning point. Online support groups, information dissemination, and teletherapy were now possible, democratizing mental health care and extending its reach to remote communities.

Those with limited access to care providers, or those preferring anonymity, benefited significantly from these novel technological advancements. It is essential to appreciate the inventive and meticulous minds who championed early technological advancements in mental health care.

Their efforts, emerging from a deep reservoir of human curiosity and fortitude, now serve as the bedrock upon which AI is poised to build a transformative, compassionate framework for the treatment and understanding of mental illness.

Our journey into understanding and harnessing the exceptional power of AI in mental health care is in its nascent stages – a testament to human ingenuity and determination. As we collectively embark upon this intrepid voyage, we heed the words of Vincent van Gogh: “Great things are done by a series of small things brought together.”

Each incremental advancement in AI technologies paves the way for future innovations, synergistically building upon the foundation established by preceding achievements.

In navigating the uncharted territory, we remain vigilant, steadfast, and humble – animated by the profound belief in a more compassionate, inclusive mental health care landscape. With AI at the helm of this brave new world, the possibilities that lie within our grasp are nothing short of extraordinary.

As we turn our gaze to the horizon, we cannot help but marvel at the possibilities that shimmer enticingly on the brink of realization, the fruition of pioneering visionaries’ daring pursuits.

In the face of daunting challenges, these early adopters dared to push the boundaries, transgress the status quo, and usher in what promises to be a brave new world—an intellectual awakening, coalescing at the nexus of artificial intelligence, neuroscience, and mental health.

In this theater of human connection, AI is poised to play a transformative role. Combining the seemingly incommensurable domains of human emotion and machine learning, AI-driven systems have the capacity to enhance our ability to connect with one another by refining our communication skills, elevating our emotional intelligence, and catalyzing shared empathy.

One can envision a world wherein AI-powered tools enhance our communications, sewing together the fragmented threads of our digital conversations and fostering greater emotional resonance between disparate or distanced individuals.

For example, imagine a couple struggling to maintain a long-distance relationship, grappling with disconnection and the challenges of communication in this era of separation.

Enter an AI-driven communication platform that not only facilitates their conversations, but also actively enriches their exchanges by detecting subtle emotional cues and offering suggestions for optimizing their emotional understanding and empathy.

By untangling the perplexing web of non-verbal cues that underpin our words, such a system might empower the couple to connect more deeply, rekindling their emotional bond despite the distance that separates them.

In this light, the potential of AI in enhancing social connection and communication for mental health becomes clear. By endowing these artificially intelligent systems with the ability to identify and interpret the complex emotional cues that infuse our language, touch our faces, and permeate the very spaces we inhabit, we arm ourselves with vital tools in the fight against loneliness and despair.

But the power of AI to shape our social connections extends beyond the realm of one-to-one communication. Consider, for instance, a community grappling with a collective sense of isolation, triggered perhaps by the strains of a global crisis.

Here, AI-driven systems that assess and map emotional states at a community level could offer deep insights into the shifting currents of this collective struggle.

By detecting emerging patterns of distress and identifying resources for support, such systems might serve as guiding beacons, illuminating the pathways towards connection and resilience for those mired in the darkness.

AI is a powerful tool that has the potential to revolutionize the way we diagnose, treat, and prevent mental illness. As AI technology continues to develop, we can expect to see even more innovative applications of AI in the field of mental health.

Regulation and Policy

As AI continues to develop, it is important to ensure that it is used in a responsible and ethical way. We need to make sure that AI is not used to perpetuate mental health stigma or to discriminate against people with mental illness. We also need to make sure that AI is used in a way that respects the privacy and autonomy of individuals.

With careful planning and implementation, AI has the potential to make a significant positive impact on the lives of people with mental illness. We can use AI to break down the stigma surrounding mental health, to improve access to mental health care, and to develop new and effective treatments for mental illness.

We believe that AI has the potential to make a real difference in the lives of people with mental illness. We are committed to working with others to ensure that AI is used in a way that promotes greater understanding and better mental health outcomes for all.

In this vision, the vast, untamed frontier of the human mind finds a worthy companion in the potent, agile hands of AI-driven applications, charting a course that is rife with unexplored possibilities and startling new discoveries. In the words of American philosopher, psychologist, and educational reformer John Dewey, “We do not learn from experience, we learn from reflecting on experience”.

As AI-guided mental health journeys continue to unfold, it is precisely this profound, reflective aspect of human consciousness that our cybernetic allies will help us nurture and enhance, leading us ever closer to the goal of global happiness and emotional resilience.

Original article: The Evolution of Mental Health and the Emergence of AI: From Stigma to Greater Understanding

Der Beitrag The Evolution of Mental Health and the Emergence of AI: From Stigma to Greater Understanding erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright: verdict.co.uk – “A Year In Data: Cloud Computing Tops Hiring, AI Deals Peak And M&A Deals Fall”

In the ever-evolving landscape of technology, 2023 has been a year full of significant innovation that continues to transform the way people work, live and interact with one another.

Artificial intelligence (AI) has grown at a tremendously fast pace and has developed into a cornerstone of the industry. The release of ChatGPT late last year has meant AI and generative AI (GenAI) have taken the world by storm. GenAI is being implemented into almost every industry, from healthcare and education to gaming and finance.

The increased demand for GenAI systems has made large language models, which the systems are trained on, the must-have thing for every Big Tech company and start-up.

The rapid rise of AI has brought increased pressure on governments to decide how the emerging technology will be regulated. In 2023, the world’s first AI Safety Summit was held in the UK where world leaders and industry professionals met to discuss the responsible use of AI and its ethical ramifications.

“AI regulation is in flux and not consistent across jurisdictions, but directionally it is moving towards more regulation everywhere, albeit with different approaches,” Josep Bori, research director at GlobalData, told Verdict.

With a heavy focus on AI and GenAI throughout the year, the concept of the metaverse, once seen as the next big thing in the industry, encountered a severe drop in interest. Meta continued to release new virtual reality and augmented reality headsets throughout the year despite interest in the technology dropping as the focus switched to advancements in AI.

Global AI deals increased in 2023

The interest and advancement in AI and GenAI throughout 2023 has led to an increase in funding for the sector.

The value of global AI deals totalled $331bn throughout 2023, an increase from $211bn in 2022, according to GlobalData’s deal database.[…]

Read more: www.verdict.co.uk

Der Beitrag A Year In Data: Cloud Computing Tops Hiring, AI Deals Peak And M&A Deals Fall erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright: hbr.org – “How AI Can Help Leaders Make Better Decisions Under Pressure”

More and more businesses are turning to AI-powered technologies to help close the data-insight gap and improve their decision-making capabilities in time-critical, high-pressure situations. These technologies encompass a wide range of tools, including virtual assistants, virtual and augmented reality, process discovery, task mining, and an array of data analytics and business intelligence platforms. Recently, there has been tremendous interest in generative AI or large-language models, a whole class of algorithms that are able to ingest vast tracts of data — text, numbers, software code, images, videos, formulas, and so on — understand their probabilistic structure, and create summaries, answers, simulations, and alternative scenarios based on these data. This article addresses three critical questions faced by decision-makers in using these technologies: 1) In what contexts are AI decision-making technologies likely to be beneficial? 2) What are some of the challenges and risks of using these technologies? and 3) How can business leaders effectively benefit from these technologies while mitigating the risks?

Business leaders and managers face increasing pressure to make the right decisions in the workplace. According to research by Oracle and Seth Stephens-Davidowitz, 85% of business leaders have experienced decision stress, and three-quarters have seen the daily volume of decisions they need to make increase tenfold over the last three years.

Poor decision making is estimated to cost firms on average at least 3% of profits, which for a $5 billion company amounts to a loss of around $150 million each year. The costs of poor decision making are not just financial, however — a delayed shipment to an important supplier, a failure in IT systems, or a single poorly managed interaction with an unhappy customer on social media can all quickly spiral out of control and inflict significant reputational and regulatory costs on firms.

Against this backdrop, more and more businesses are turning to AI-powered technologies to help close the data-insight gap and improve their decision-making capabilities in time-critical, high-pressure situations. These technologies encompass a wide range of tools, including virtual assistants, virtual and augmented reality, tools for process discovery and task mining, and an array of data analytics and business intelligence platforms. Recently, there has been tremendous interest in generative AI or large language models (LLMs), a whole class of algorithms that are able to ingest vast tracts of data — text, numbers, software code, images, videos, formulas, and so on — understand their probabilistic structure, and create summaries, answers, simulations, and alternative scenarios based on these data. Well-known generative AI models include OpenAI’s ChatGPT, Google’s Bard, Meta’s Llama 2, and Anthropic, but there are many more.[…]

Read more: www.hbr.org

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Billion-Dollar AI Bets – SwissCogntive AI Investment Radar

Time has consistently showcased that the AI realm is akin to a meteor shower – each breakthrough a brilliant spark, every investment a testament to a tech future that’s brighter than we might have imagined.

In this edition, our gaze first rests on Microsoft’s colossal commitment to Australia, not just financially, but in reshaping an entire digital ecosystem. This strategic play promises to forge a new digital frontier, championing Australia’s rise as a formidable player in the AI epoch. Yet, the world of tech is vast and varied, and as Apple embarks on its own journey into the depths of generative AI, we see glimpses of a future filled with smarter, more intuitive devices, perhaps changing the way we engage with technology altogether.

But it’s not all smooth sailing. As we bask in the glow of AI’s potential, shadows of challenges loom. Regulatory hurdles, ethical dilemmas, and the sheer pace of advancement demand our attention. Amidst these movements, AI bets are becoming more strategic than ever. It’s about startups like Celes pushing boundaries in niche sectors, it’s about the very chips that power our AI dreams, and it’s about the confluence of AI with other revolutionary technologies, such as VR, reshaping industries we hold dear.

From investments in AI-driven music revolutions to advancements in AI finance tools and analytic platforms, our radar’s sweep is comprehensive. We’re here to ensure you not only stay informed but deeply connected to every significant pulse and pivot in the world of AI. So, as we unfurl the tapestry of this edition’s stories, join us on this enlightening voyage into the heart of AI’s transformative age.

Previous SwissCognitive AI Radar: AI Pioneers, Unicorns, and Market Movement Updates.

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

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Copyright: forbes.com – “The Evolving Internet: Navigating Risks Amidst Immersion, Decentralization, And Generative AI”

Addressing Safety, Privacy, And AI Authenticity Concerns

Immersive experiences like VR and AR present significant safety and privacy issues. Companies could potentially harvest vast amounts of user data, from biometric details to behavioral patterns. Moreover, generative AI, which can produce content ranging from art to articles, poses the risk of spreading misinformation, fake news, or even creating synthetic identities. Distinguishing between AI-generated and human-created content will become crucial for maintaining trust and authenticity online.

Moreover, the advent of digital avatars heightens the risk of identity theft. Ensuring our children’s safety becomes even more challenging as their virtual experiences become visually inaccessible to us.

Regulation Is Still Catching Up

We need policy, governance, and rules for the new world of the future internet, so we can all enjoy a safe and pleasant experience online. Unfortunately, technology is advancing far faster than our regulatory policies.

There are a lot of legal gray areas that still need to be ironed out. For instance, what kinds of behavior are considered acceptable and not acceptable in virtual environments? What happens if someone commits an offense online that would normally be considered a prosecutable crime in the real world? Complaints of assault and sexual harassment are already being reported in virtual environments like Meta’s Horizon Worlds.[…]

Read more: www.forbes.com

Der Beitrag The Evolving Internet: Navigating Risks Amidst Immersion, Decentralization, And Generative AI erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Shahid Mohammad Ganie, Assistant Professor, AI Research Centre, Department of Analytics and Dr. Hemachandran Kannan,  Director, AI Research Centre & Professor – “Metaverse in the Healthcare Industry”

The healthcare sector has witnessed a remarkable transition recently, partly due to the quick development of technology. These developments, which range from the widespread use of telemedicine to the incorporation of artificial intelligence, have drastically changed the face of healthcare. The rise of the metaverse, however, is one of the most fascinating and exciting future events. This virtual shared area, which was created when physical and virtual realities collided, is not just for gaming and socialising. A healthcare revolution that could fundamentally alter how we view healthcare as a whole is about to begin.

Understanding the Metaverse

The metaverse is a virtual world where people interact in real-time with one another and with virtual objects, frequently represented by avatars. This vast virtual world defies physical boundaries and offers an infinite space for interaction, teamwork, and immersive interactions. As a result, people can build, explore, and engage with a variety of virtual settings, objects, and experiences. It blurs the distinction between the actual and digital worlds. You can easily switch from having business meetings with colleagues and going to virtual concerts or learning about historical simulations in this dynamic environment. The metaverse revolutionizes how we communicate, study, work, and socialise and promises to have a profound effect on many facets of contemporary life.

Virtual Health Consultations

Virtual health consultations are one of the most practical and revolutionary uses of the metaverse in healthcare. In this scenario, patients interact with healthcare providers in virtual clinics by using avatars to communicate their medical issues. This method greatly enhances accessibility, especially for patients who live far away or are unable to move around, and eases the burden on the physical healthcare infrastructure, improving scalability. Ingenious diagnostic and treatment planning technologies are also made possible by the metaverse, improving patient-physician interactions, and enabling global real-time collaboration.

Medical Training and Education

The potential for medical education and training in the metaverse is limitless. Medical practitioners and students can enter immersive simulations with ease, faithfully recreating real-world settings. The metaverse provides a dynamic, risk-free learning environment for everything from practicing difficult surgical procedures to diagnosing challenging medical cases to improving communication skills with virtual patients. Healthcare professionals can learn crucial skills and decision-making abilities with greater assurance, which goes beyond standard textbooks and classrooms. A new generation of well-trained, highly skilled healthcare workers will so emerge which will eventually improve patient care and medical outcomes.

Supporting Mental Health

Mental health support adopts a novel form in the metaverse. People have easy access to virtual support groups, therapy sessions, and relaxing locations that provide helpful skills to manage stress, anxiety, and other mental health issues. Users find peace and a supportive community in these digital spaces, which promotes resilience and emotional well-being. This innovative strategy makes use of technology to deliver adaptable mental health solutions, removing obstacles to seeking assistance and providing a secure, private setting for people to get the treatment they require.

Clinical Research and Drug Development

Strong research and development are essential for healthcare advancements. The metaverse brings scholars together in a common digital space, acting as a stimulus for international collaboration. This seamless virtual collaboration hastens the progress of vital projects including clinical trials, drug development, and the investigation of novel therapeutic modalities. The metaverse enables researchers to pool their knowledge and resources, enabling real-time communication and data sharing, eradicating regional constraints, and eventually accelerating healthcare advancement. The metaverse will be at the centre of a new era of medical discoveries brought about by this fusion of technology and science.

Enhanced Data Visualization

Healthcare creates enormous amounts of data, including patient records and medical imaging. Data analysis and visualisation are made possible via the metaverse. Researchers and medical professionals can investigate elaborate 3D representations of challenging medical data in virtual environments. Their capacity to precisely identify illnesses and design treatments with outstanding precision is improved by this immersive experience. The metaverse transforms how healthcare workers interact with information by transforming it into interactive, visual landscapes, ultimately enhancing patient care and results. It eliminates the knowledge gap between data and comprehension, enabling medical professionals to fully utilize current healthcare data analytics.

Privacy and Ethical Concerns

The metaverse offers a wealth of opportunities, but it also raises serious privacy and moral issues. It is crucial to create strong ethical standards and protect healthcare data within these virtual worlds. To fully utilise the promise of the metaverse in healthcare, a delicate balance must be struck between innovation and the security of private medical data. Critical factors to take into account include protecting patients’ privacy, protecting data from unauthorised access, and making sure technology is used transparently and responsibly. In order to navigate the metaverse’s transformative impact on healthcare while keeping the greatest ethical standards, respecting individual rights, and promoting trust in this cutting-edge healthcare frontier, it will be crucial to pursue this equilibrium.

Conclusion

In conclusion, the metaverse is actively transforming industries, most notably healthcare, rather than just being a futuristic concept. The metaverse emerges as a tool to improve patient care, medical training, research, and data analysis as technology and healthcare interact. A future for healthcare that is linked and healthy is promised through responsible integration. In addition, metaverse has the potential to transform healthcare by fostering greater connectivity, accessibility, and creativity. It’s an exciting adventure that could radically change how we approach healthcare, ultimately promoting global well-being.

About the Authors:

Shahid Mohammad Ganie serves as an Assistant Professor at Woxsen University’s AI Research Centre. He holds a Ph.D. in Machine Learning in Healthcare Informatics and an MCA degree, with a B.Sc in Mathematics from the University of Kashmir. Recognized as a Gold Medalist, Shahid’s research spans Data Analytics, Machine Learning, and Healthcare Informatics, among others. He has also delved into Big Data Analytics and the Metaverse in Healthcare. With a rich publication history in esteemed journals and over two years of teaching experience, Shahid is affiliated with Woxsen Future Lab and sits on the Technology Advisory Board at Woxsen University.

Dr. Hemachandran Kannan is the Director of AI Research Centre and Professor at Woxsen University. He has been a passionate teacher with 15 years of teaching experience and 5 years of research experience. A strong educational professional with a scientific bent of mind, highly skilled in AI & Business Analytics. He served as an effective resource person at various national and international scientific conferences and also gave lectures on topics related to Artificial Intelligence. He has rich working experience in Natural Language Processing, Computer Vision, Building Video recommendation systems, Building Chatbots for HR policies and Education Sector, Automatic Interview processes, and Autonomous Robots.

Der Beitrag Metaverse in the Healthcare Industry erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Dr. Raul V. Rodriguez, Vice President, Woxsen University and Dr. Hemachandran Kannan,  Director AI Research Centre & Professor – “Exploring the Cognitive Psychology of Consumer Behavior in the Age of Artificial Intelligence”

The idea of the metaverse has arisen as a dynamic area where virtual and real-world experiences meet at a time of fast technology progress. The potential to revolutionize education is becoming more and more clear as the lines between the physical and digital worlds converge. A core component of contemporary education, personalized learning, takes on new meaning in the metaverse. In this article, the revolutionary potential of AI-powered virtual tutors is explored, along with how these tutors are changing the face of education by personalizing instruction for each student. These instructors provide a look into a future where education transcends conventional boundaries, encouraging greater engagement and knowledge acquisition. They do this by utilizing the powers of artificial intelligence.

The Evolution of Education in the Metaverse

The boundaries of education are being redefined by the metaverse, an immersive digital realm. Interactive virtual learning environments replace traditional classrooms, allowing students to interact actively with their studies. Education crosses geographic boundaries as students explore lifelike simulations and collaborative settings. The metaverse supports current pedagogical trends by promoting active engagement and hands-on learning. Educators take use of its ability to engage students and impart knowledge by using virtual lectures, interactive experiments, and historical reconstructions. The metaverse’s growth of education represents an exhilarating move toward flexible, interesting, and learner-centered strategies that equip students for a world that is changing quickly.

The Role of AI in Personalized Learning

In the metaverse, customized learning is changing thanks in large part to artificial intelligence (AI). Artificial intelligence (AI) adapts instructional materials to each student’s particular speed, preferences, and learning style by utilizing machine learning and natural language processing. AI virtual tutors change the curriculum, provide real-time feedback, and pinpoint areas for development by evaluating data from individual encounters. With this proactive approach, comprehension and retention are maximized, resulting in a greater knowledge of the material. Personalized learning in the metaverse is becoming an increasingly effective tool for developing knowledge and critical thinking as AI develops and improves its capacity to offer nuanced, tailored advice.

Building the Ideal AI-Powered Virtual Tutor

It takes careful blending of technology innovation and pedagogical ideas to build the optimal AI-powered virtual teacher. User interface usability is a design factor that ensures easy navigation across the immersive environment of the metaverse. Customizability, which takes into account various learning preferences and styles, emerges as a major feature.

AI analytics-driven real-time assessment systems make it possible to continuously assess students’ development. This dynamic feedback loop improves understanding and reveals areas that need more investigation. The versatility of the virtual tutor enables it to readjust educational strategies, enhancing the learning process.

Empathetic AI is a key component of this design since it assesses emotional states and modifies interactions accordingly. The tutor’s programming incorporates ethical principles to prevent prejudices and advance diversity. Privacy protections also guarantee data security and foster trust.

A new age in education is about to begin when the immersive potential of the metaverse and AI’s cognitive brilliance come together. By creating the classic AI-powered virtual tutor, we revolutionize individualized learning in the metaverse by balancing technical innovation with educational efficacy.

Challenges and Considerations

There are several difficulties in integrating AI-powered virtual teachers into the metaverse. Data privacy, algorithmic prejudice, and the possible deterioration of the duties of human teachers all present ethical problems. Careful consideration is required to provide fair access across socioeconomic strata. It is crucial to take precautions against technical errors that disrupt continuous learning. A complex issue to be considered is how to balance AI’s effectiveness with individualized human contact. To overcome these obstacles, educators, technologists, and legislators must work together to develop a metaverse that supports inclusive, moral, and efficient tailored learning experiences.

Case Studies: Transformative Impact of AI-Powered Virtual Tutors

• The Georgia Institute of Technology unveiled Jill Watson, a virtual teaching assistant with AI capabilities, in 2016.
• AI-powered simulations are used at the INTERACTIVE building at Wharton University of Pennsylvania to create cutting-edge educational opportunities.
• The AI Research Centre at Woxsen University, Hyderabad, India implementing courses in metaverse platform to give interactive learning experience to the students and develops simulations for the Metaverse that are advantageous to management and engineering students.

The firm offers the following educational solutions:

• Palitt: Making it easier for teachers to create unique lecture series, syllabi, and textbooks.
• Cram101: Using artificial intelligence (AI) technology, every textbook can be turned into a smart study guide with chapter summaries, limitless practice exams, and targeted flashcards that are personalized to certain volumes, ISBN numbers, authors, and chapters.
• JustTheFacts101: Serving as the AI counterpart of a conventional yellow marker, it produces accurate book and chapter summaries rapidly while underlining key information.

These examples demonstrate how AI technology improves accessibility, comprehension, and engagement, making education more effective and inclusive. They highlight how the metaverse can democratize education and encourage educational institutions all across the world to use AI-powered virtual tutors to improve the quality of education in the future.

Future Prospects and Potential

A future overflowing with opportunities is revealed by the merger of AI-powered virtual teachers and the metaverse. Immersing students in experiencing worlds via the use of virtual reality (VR) and augmented reality (AR) technology might improve comprehension and retention. Global schools that cross boundaries and promote different cultural interactions could be made possible via collaborative metaverse environments. The development of AI may result in even more specialized personalization, with information that is tailored not just to learning preferences but also to emotional moods and cognitive requirements.

Additionally, the dynamic structure of the metaverse could make it possible for people to continue learning outside of the confines of traditional academic institutions, equipping them for a lifetime of discovery and development. AI-powered instructors may transform professional development as they advance in sophistication, guaranteeing the most current skills for a work market that is always evolving.

Conclusion

AI-powered virtual tutors serve as beacons of educational reform inside the metaverse in a society driven by innovation and connection. These instructors provide a preview of a day when education will be individualized, open to all, and unrestricted by geographical boundaries by customizing learning experiences to meet individual requirements. The ethical and fair integration of AI in education will be guided by cooperation between educators, technologists, and policymakers, despite challenges.

The metaverse becomes a canvas on which the art of learning is recreated as we set off on our educational voyage. The potential for a genuinely lifelong, learner-centric journey is unlocked by the symbiotic link between AI and the metaverse, which is set to transform conventional teaching. Students enter a world where learning is an exciting journey that develops brains and hearts in ways that go beyond the limits of time and space as they travel through immersive landscapes with the help of sympathetic AI partners.

About the Authors:

Dr. Raul Villamarin Rodriguez is the Vice President of Woxsen University. He is an Adjunct Professor at Universidad del Externado, Colombia, a member of the International Advisory Board at IBS Ranepa, Russian Federation, and a member of the IAB, University of Pécs Faculty of Business and Economics. He is also a member of the Advisory Board at PUCPR, Brazil, Johannesburg Business School, SA, and Milpark Business School, South Africa, along with PetThinQ Inc, Upmore Global and SpaceBasic, Inc. His specific areas of expertise and interest are Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Knowledge Engineering, and Quantum AI.

Dr. Hemachandran Kannan is the Director of AI Research Centre and Professor at Woxsen University. He has been a passionate teacher with 15 years of teaching experience and 5 years of research experience. A strong educational professional with a scientific bent of mind, highly skilled in AI & Business Analytics. He served as an effective resource person at various national and international scientific conferences and also gave lectures on topics related to Artificial Intelligence. He has rich working experience in Natural Language Processing, Computer Vision, Building Video recommendation systems, Building Chatbots for HR policies and Education Sector, Automatic Interview processes, and Autonomous Robots.

Der Beitrag AI-Powered Virtual Tutors: Personalized Learning in the Metaverse erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.