By Martina Fuchs

Credits: The Female Quotient / The Frequency School – “First Song Ever to Unite Women from All Countries Using Sound Healing Frequencies”

The Frequency School – in partnership with The Female Quotient – launched “195”, the first song in history featuring women from all of the world’s 195 countries using sound healing frequencies and the 528 Hz ‘Love Frequency’ in a bid to ignite a global movement and raise awareness about gender equality across various industries including technology.

The Frequency School co-founded by Grammy-nominated and multi-platinum music producer Maejor, Kingsley Maduka, Brandon Lee, Aaron Dawson and Martina Fuchs premiered this visionary, powerful and universal campaign at a side-event in Davos, Switzerland which took place during the first day of the 55th Annual Meeting of the World Economic Forum (WEF).

Using the sounds of birds and the heartbeat as instrumental elements, “195” aims to raise the world’s frequency, elevate humanity, and trigger a positive impact by uniting and empowering women worldwide.

One woman in every one of the world’s 195 countries recognized by the United Nations said one word: “EQUALITY” in her national language or native tongue.

Martina Fuchs, business journalist and executive producer of the 195 women song, said:

“It has always been my dream to produce the first song in history featuring every country on the planet. Our vision was to unite 195 women from all walks of life from around the globe in this pioneering and groundbreaking initiative to advocate for gender equality and the rights of women and girls, and to help people struggling with mental health issues. Gender equality is not only a fundamental human right, but a necessary foundation for a peaceful, prosperous and sustainable world.”

U.S. Grammy-nominated and multi-platinum music producer Maejor who produced the song using sound healing frequencies said:

“We chose to use 528 Hz for the track which is often referred to as the ‘love frequency’, or the frequency of transformation and miracles. It provides a powerful energetic foundation for creating an environment where equality can flourish. By resonating with a frequency linked to unconditional love, we wanted to promote more respect and fairness for women, as well as deep inner healing and a state of peace. The transformative vibration of 528 Hz can inspire positive action and empathy and people to act more kindly and inclusively.”

According to scientific studies and music theory, Solfeggio frequencies, ranging from 174 Hz to 963 Hz, offer unique sound patterns that promote relaxation, stress relief, and overall well-being. These frequencies have been shown to positively impact mental, emotional, and physical health by generating vibrations that help achieve a state of calm and balance of the mind, body and spirit.

Miriam Moriati, President of the Kiribati Rotaract Youth Club and a Women and Youth representative for OARS (Ocean Alliance for Resilience and Sustainability), said:

“I’m from Kiribati, a small island nation in the Pacific, where our highest point is just 3 meters above sea level. Our women in Kiribati are vulnerable due to gender equality not being part of our culture and traditions. They are often the first to be affected by crises and the last to recover. Being part of this initiative to support women on an international stage is an incredible honor. Opportunities to represent our small country are rare, and I am grateful for this platform to amplify the voices of Kiribati women.”

Dalith Steiger, Co-Founder of SwissCognitive and the voice of Israel in the song said:

“Equality is not just an ideal—it’s our collective responsibility. The lack of gender equality still remains a huge challenge in the technology space that we need to tackle. I’m convinced that AI can support us to unbias the bias! I am grateful to be part of this global women empowerment initiative to raise awareness across various sectors.”

A new white paper by IMD in collaboration with Microsoft Switzerland and EqualVoice released at the WEF on Thursdy provides in-depth analysis and guidance for organizations to mitigate against risks and use AI responsibly.

More than 80% of the world’s organizations are expected to be using GenAI tools in production environments by 2026, and the productivity gains will likely boost global GDP by $7tn in the next decade. Yet even as innovation races ahead, important questions need to be asked about the potential risks.

Read the full report “Mind the Gap Addressing the risk of bias in Generative AI”.

The “195” song is planned to be submitted for a Guinness World Records for the title: “Most nationalities to contribute vocals to a musical recording (single song)”.

@Brandon Lee Shelley Zalis The Female Quotient The Frequency School

Der Beitrag First Song Ever to Unite Women from All Countries Using Sound Healing Frequencies erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Who’s Investing and Why in AI – SwissCognitive AI Investment Radar

From ByteDance’s $12 billion AI chip investment in 2025, aiming to strengthen its infrastructure, to Trump’s announcement of up to $500 billion in private sector investments, the focus on AI-driven infrastructure continues to expand across industries and geographies.

The UK’s AI sector has been attracting £200 million per day in private investment, highlighting strong confidence in its long-term growth potential. Meanwhile, China’s newly established $8.2 billion AI investment fund comes as a direct response to tightened US trade controls, signaling a strategic push to build domestic AI capabilities amid geopolitical challenges. On a different note, Capgemini’s research finds that 67% of businesses in Singapore see AI as their top investment priority for 2025.

Private firms are also positioning themselves for growth, with Nvidia set to invest over $500 million in a new AI research facility in Israel, aiming to accelerate advancements in AI technologies. Similarly, DDN’s $300 million funding from Blackstone is positioning the company as a leader in AI storage solutions, building on its established presence in high-performance computing.

However, despite the influx of investments, many companies are grappling with the ROI puzzle of AI, as leaders weigh the balance between potential and profitability. Some businesses are even considering selling non-core assets to fund AI projects, underscoring the financial pressures that come with large-scale adoption.

As AI investments continue to shape the global economy, staying informed about emerging trends and strategic priorities will be critical for stakeholders looking to navigate this rapidly evolving space. Join us next week too!

Previous SwissCognitive AI Radar: AI in Corporate Budgets and National Strategies.

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.

Der Beitrag Who’s Investing and Why in AI – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Dalith Steiger

AI Keynote Speaker
Global AI Thought-Leader & Influencer
Top Business Accelerator and Serial Entrepreneur
Amongst the Top 50 Women in Tech

---

Dalith Steiger, co-founder of the award-winning SwissCognitive, World-Leading AI Network, and the CognitiveValley Foundation. She was born in Israel and grew up in Switzerland. Today, she is a global AI advisor and keynote speaker, sharing her extensive knowledge and experience in the field of AI around the world. She is also CEO of the Swiss IT Leadership Forum, and Member of the Advisory Council of digital-liberal.ch. Dalith sits in the jury of the Digital Economy Award as well as the START Hack, she is an advisor at Kickstart Innovation, a mentor at the Founder Institute, and teaches AI & Machine Learning in a CAS module at the Applied University of Luzern. Besides her drive for cognitive technologies, she is also a loving mother of two teenage girls, a passionate mountain biker and a big fan of high-heel shoes.

Awards – Dalith Steiger

---

Top AI Voice, Onalytica 2021
Top 50 Women in Tech Influencers, The Awards Magazine, 2020
Top 10 Pioneering Women in AI & Machine Learning, Enterprise Management 360 London, 2019
Top 100 Digital Shapers in Switzerland, Bilanz, 2019

Publications – Dalith Steiger

---

Wisdom From The Women Leading The AI Industry, With Dalith Steiger-Gablinger of SwissCognitive
We Have World-Class AI Research In Switzerland – Dalith Steiger-Gablinger Interview
AI, Innovation and Collaboration – Perspectives on Switzerland: Interview with Dalith Steiger

---

Andy Fitze

AI Keynote Speaker
Pioneering Global Corporate Digital Strategist
Amongst the 100 Global Most Influential People in AI
Award-Winning CIO

---

Andy's AI Almanac Columns - Subscribe on LinkedIn

Andy Fitze, digital cognitive strategist, top global AI and digital transformation advisor for start-ups and enterprise boards, tactical leader, AI influencer and keynote speaker. With Dalith Steiger, Andy is the co-founder of the award-winning SwissCognitive, and the CognitiveValley Foundation. He is president of the Swiss IT Leadership Forum, member of the Board of Directors of ICTSwitzerland and SwissICT, and Chairman of the Board of Directors of Service Management Partners. Andy is a lecturer and Member of the Strategic Advisory Board at Bern University of Applied Sciences. To share his 30 years of extensive knowledge and experience, he is often seen on global stages. He is also a passionate skipper on the oceans – providing him with a great balance for head and soul.

Awards – Andy Fitze

---

Top 10 AI Influencer, AI Magazine
Top 100 Digital Shapers in Switzerland, Bilanz, 2023
Top 100 Digital Shapers in Switzerland, Bilanz, 2022
The most prominent Digital Futurists to watch out for in 2022
100 Global most influential people in AI, 2021
Top 100 Influencer – Who’s Who in RPA? Influential Voices & Brands – Sector AI & RPA, 2020
Top 100 Global Thought Leaders and Influencers, 2020
Top 10 CIO of the Decade, Confare and EY, 2020
Global AI 25 Influencer – Place 13^th, 2019
Forbes Top 50 Digital Leaders DACH, 2018
Top 15 Global Digital Transformation Influencers on Twitter, 2017
Swiss CIO Award for Best IT Manager in Switzerland in 2015
IT Strategist – Swiss CIO Award 2012

---

Cognitive News Selection

---

Leveraging AI to Predict and Reduce College Dropout Rates

Dropping out of college can limit students’ opportunities and is difficult for schools to predict. Here’s how AI can help.

April 22, 2025

Cyber, Defence & ICT

HighTech & Life Science

Research & Government

Who’s Betting, Where, and Why in AI

AI news from the global cross-industry ecosystem brought to the community in 200+ countries every week by SwissCognitive.

April 20, 2025

News

Who’s Betting, Where, and Why in AI – SwissCognitive AI Investment Radar

AI betting is consolidating around fewer hubs, with larger strategic investments shaping a more concentrated global funding environment.

April 17, 2025

Banking & Insurance

Energy & Logistic

HighTech & Life Science

Research & Government

Der Beitrag AI Keynote Speaker & Strategic Advisor – Dalith Steiger & Andy Fitze erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Livia Spiesz – “AI in Diplomacy: Can Technology Foster a More Peaceful World?”

There are currently 56 ongoing conflicts globally involving 96 countries (Vision for Humanity, 2024; Salhani, 2024). The issue to mitigate this lies in the increasing norm of using force. Leaders are opting for peace-undermining military solutions, believing they can succeed through force rather than diplomacy. I would even challenge that as a reason. War seems to be the new status quo, disregarding also the thousands of lives lost in the process. What does it really mean? I let numbers speak: in 2023, the global expenditure on military operations reached $2.44 trillion USD, while peacebuilding and peacekeeping operations were at $34.1 billion. (International Peace Institute, 2023; and Dyvik, 2024). Result? 110 million people are displaced globally as we speak, and in 2023, more civilians were killed or injured by airstrikes, bombs, and artillery than in any year over the past decade. (International Rescue Committee, 2024; and Sabbagh, 2024)

Humanity struggles to learn from history, as violence remains a persistent and ineffective approach to resolving conflicts. With Artificial Intelligence (AI) being increasingly applied across industries and domains, I wonder, can this technology offer a solution to these escalating tensions and “save our world” from falling apart? Can it transfer diplomacy? Is the field ready at all?

After exchanging with hundreds of AI experts globally in the last over 6 years, I see great potential for AI in the world of diplomacy. This great potential is however wrapped in peril that needs the human mind, heart and soul to remove. On one hand, AI can revolutionize diplomacy and streamline negotiations (for instance through AI-driven conflict analysis tools and tailored approaches to negotiations), and also enhance global security (monitoring local news, tracking down misinformation, identifying potential conflicts, and anticipating trends (Delcker, 2023)). On the other hand, it can exacerbate existing disparities, fuel an arms race, increase sophisticated cyber threats, and deepen distrust among nations. This contrast makes me wonder: Are we prepared to handle this double-edged sword wisely, or will we let it cut deeper into the fabric of international relations?

AI readiness will likely determine future economic growth, potentially widening the prosperity gap between AI-ready and non-AI-ready countries (Georgieva, 2024). The United Nations (UN) has a critical role in promoting international cooperation and addressing this challenge posed by AI. The question is: are global leaders also prepared to create policies that ensure AI benefits everyone or will they simply reinforce existing inequalities?

Experts emphasize proactive AI governance to prevent risks from an unchecked race driven by strategic advantage and profit​ (Pasquini, 2024). Proposals range from informal agreements to initiatives like the WEF’s AI Governance Alliance and the UN Secretary-General’s AI Advisory Body​. These bodies aim to provide technical assessments and promote international cooperation. However, the absence of major players like China and Russia, along with the underrepresentation of developing nations, poses significant challenges​ (Zhou, 2024).
Article continues below.

The centralization of AI development in the Global North also creates power imbalances, leaving the Global South in a consumer role, sometimes with AI models that do not even fit local contexts (Antony et al., 2024). This problem is further complicated by the geopolitical impacts of AI, which potentially undermines the autonomy of countries that import these technologies (World Economic Forum, 2024). Governments face the dilemma of attracting investments from tech giants while protecting public interests. The lack of diversity in AI development leads to biased outcomes, disproportionately affecting marginalized communities. Are we considering the global impacts of our AI advancements, or are we perpetuating existing inequalities?

We are currently in the “inter-AI years,” a brief window to influence the trajectory of AI development before norms, values, and standards become entrenched (Cohen & Lee, 2023). Decisions made today will shape the future of AI and its impact on global power dynamics. This period is crucial for determining the path of AI, and it is vital that we get it right. AI’s potential to boost economic growth is enormous, with estimates suggesting that widespread AI adoption could increase global GDP by nearly $7 trillion over ten years (Cohen & Lee, 2023). However, realizing these benefits depends on the availability of energy, computing power, data, and models, not even mentioning AI literacy.

To leverage AI for global peace, we must move beyond mere regulatory frameworks and embrace a collaborative and inclusive approach. The UN’s role in promoting international cooperation is crucial. As AI continues to evolve, the question remains: Will we harness AI to create a more peaceful and just world, or will short-sighted national interests undermine its potential and allow it to further destabilize global relations? Time will tell. I personally see great potential for a better world where we augment our human abilities and capabilities with cognitive technologies. However, I would also like to emphasize that diplomacy thrives on the art of empathy, personal connection, and building trust – qualities I can’t imagine machines ever truly mastering.

References and Resources Used

Anthony, A., Sharma, L.; and Noor, E. (2024). Advancing a More Global Agenda for Trustworthy Artificial Intelligence. Link

Cohen, J. and Lee, G. (2023). The generative world order: AI, geopolitics, and power. Link

Dyvik, E., H. (2024). Global military spending from 2001 to 2023. Link

Garcia, E., V. (2020). Multilateralism and Artificial Intelligence: What Role for the United Nations? Link

Georgieva, K. (2024). AI Will Transform the Global Economy. Let’s Make Sure It Benefits Humanity. Link

International Peace Institute. (2023). A Measure of Peace: Key Findings from the 2023 Global Peace Index. Link

International Crisis Group. (2024). 10 Conflicts to Watch in 2024. Link

International Rescue Committee (2024). 110 million people displaced around the world: get the facts. Link

Pasquini, N. (2024). Proactive AI Policy. Link

Sabbagh, D. (2024). More civilian casualties recorded in 2023 than any year since 2010. Link

Salhani, J. (2024). Iran’s response to Israel looms. What are the possible scenarios? Link

Vision of Humanity. (2024). Highest number of countries engaged in conflict since World War II. Link

World Economic Forum. (2024). Artificial Intelligence: The Geopolitical Impacts of AI. Link

Zhou, L. (2024). Russia and China compare notes on ‘military use of artificial intelligence’. Link

About the Author:

With a diverse background in human behavior, criminal psychology, leadership, diplomacy, development, and peacebuilding, Livia is committed to fostering understanding and growth on both personal and societal levels. As a strategic partnerships and communications expert with over 10 years of international experience, she has spent the last 6+ years in the AI industry, collaborating with hundreds of AI experts and leaders globally. Livia seeks out less-traveled paths and embraces challenges with a realist-idealist approach, living by the motto: “Reach for the sky, and you will get to the stars.”

Der Beitrag AI in Diplomacy: Can Technology Foster a More Peaceful World? erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Tracking the Tides of Global Tech Investment – SwissCognitive AI Radar

In this edition, we’re zooming into the strategic financial flows that are not just creating ripples but are reshaping the global technology landscape. From the heart of Europe to Israel, from the bustling innovation hubs in India to the disciplined corridors of Swiss financial giants, this is a tale of bytes and bucks.

Our journey begins with Aleph Alpha, a trailblazer in Germany’s AI scene, which has just interlaced its fate with a massive $500 million tech investment, standing as a testament to Europe’s growing aspiration to carve out its own niche in the AI domain. PwC Switzerland follows suit, earmarking CHF 50 million to advance AI, signifying a steadfast march toward digital sagacity and a global vanguard in AI services.

Traveling across the Mediterranean, we find Israel harnessing the power of AI to bridge the gap between investors and the tech sphere, while a crypto billionaire’s altruism ushers in a groundbreaking initiative, supplying AI chips to fuel innovation amidst hardware scarcities.

From the pulse of the markets where AI is redefining investing, to the front lines where defense startups like Shield AI are securing hefty investments for AI-driven defense strategies, we see a common thread – the pursuit of progress and the unwavering belief in AI’s potential.

Through this narrative, we witness a diverse array of sectors – from fintech to defense, each spinning its own yarn of innovation, all woven together by AI’s transformative thread. As fund managers wrestle with data readiness for AI integration, and Indian startups navigate through fluctuating financial weathers, the entire world seems to be marching to the beat of the AI drum.

Let’s trace the money trails that empower AI solutions and platforms, revolutionizing industries and redefining what it means to invest in technology. Here is the SwissCognitive AI Radar: an atlas of investments where each dot connects to form the constellation of tomorrow’s AI landscape.

Previous SwissCognitive AI Radar: Global Investments Reshaping Tomorrow.

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.

Der Beitrag Tracking the Tides of Global AI & Tech Investment – SwissCognitive AI Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Asaf Yanai – “Will AI Replace Human Creativity?”

Not a day goes by that ChatGPT isn’t in the news. Artificial Intelligence (AI) now offers solutions for everyone, from high schoolers looking for homework assistance to chess players wanting to cut corners on their gameplay. Surgeons are competing against AI to game out whether they’ve made the right choices during surgery, and AI is being used for everything from determining what songs to suggest on Spotify to what flavors to put in various recipes.

Spoiler alert: Humans used to perform a lot of these tasks and jobs. So it begs the question: with AI rapidly becoming a feature of daily life, how much do we need to worry about it replacing human creativity and workmanship? Are we doomed to a future where robots are curating all of our playlists and menu choices? What would that future even look like?

What is AI?

Before prognostications get too gloomy, let’s assess what we’re really dealing with. The term “artificial intelligence” is a catch-all that encompasses various technologies that can perceive, synthesize, and infer data. Various computer programming languages, such as R, Java, and Python, are used for writing and training machine learning algorithms.

Simply put, these programming languages lay out a sequence of rigorous rules that the program must follow in any situation. Searching for something on Google? There’s an algorithm for that. Seeing a digital ad on Facebook or being served a playlist recommendation on Spotify? Algorithms run what and when you see these things, too.

Development of AI over the years

Although many of us are only just hearing about it, AI has actually been around for over 50 years. The term was first used in 1956 during a computer conference, but for those of us who are scifi fans, we know that writers and philosophers have long dreamt about days when automation and humanoid robots would rule the Earth.

For decades, engineers, scientists, and mathematicians toiled to make fiction reality but were constrained by challenges. For example, in the mid-20th century, it could cost upward of $200,000 (1950s value) to run a computer; such were the data processing capacity restraints. There were also issues with applying algorithms to real-life problems. Only in the past 30 years or so has processing capacity improved to the point where logic programming and thus true artificial intelligence is possible.

A graph showing the development of AI in relation to general processing speed

Now that the computer processing power is available, AI systems absorb and digest large amounts of information and analyze them for correlations and patterns. They then use that information to make predictions about future simulations of the same situation. In this way, AlphaGo, Google’s AI tool, can beat the world’s best chess players, and image recognition systems can recognize and describe objects in images after viewing millions of samples. Well-built AI even learns much like the human brain: It builds on top of itself, so it gets smarter with each piece of information it gathers and synthesizes.

AI implementations

In the past 10 years, AI has been used in most industries, with a surprising array of applications. In some cases, AI tools have been applied to situations where the tool can do things better than a human, and in other cases, tools have been applied to save time and money. Concrete examples are always useful when exploring complex topics, so here are a few you may be familiar with (and others you may not know about):

Driverless cars – Engineers have used a type of AI known as neural networks to build cars that recognize traffic signals, obstructions, road signs, and other features of travel.

Manufacturing robots – In some manufacturing processes, robots are used to generate purchase requests or handle complex orders that come in from various sales channels. They’ve even been used to detect damage and faults in the overall manufacturing process.

Automated financial investing – Algorithms can be applied to make investing decisions, which brings down the traditional costs of having a money manager who analyzes markets and makes those decisions instead.

Copywriting – ChatGPT and other AI tools can write essays, blogs, and articles on a range of topics. Many schools are currently grappling with how to penalize students who use AI in writing their assignments.

Chatbots – If you’ve ever used a chatbot to speak with customer service, you may be familiar with a robot attempting to  solve your problem before you’re connected to a real human being (if that ever happens).

As computer processing limitations have declined, AI tools have become more affordable, meaning that even very small businesses can use them. This has meant that companies of all sizes can cut the costs of humans doing work and invest in cheaper tools that can often do the same thing. For example, the cost of implementing a chatbot is much lower than paying humans to respond to customer queries – and chatbots are available 24/7, without the room for human error. It sounds pretty sweet, looking at it from a dollars and cents perspective.

AI and emotional intelligence

 And here we arrive at the million-dollar question: Will AI replace jobs and human creativity? If machines can learn to drive cars, manufacture products, write essays, and act as customer service agents indefatigably (and without pay!), what hope is there for those of us who need employment?

Firstly, it’s comforting to remember that AI systems are only as good as their foundational frameworks. Remember that AI is built by humans (although there are some new attempts to get AI to code itself, and that’s going well). Like all things we humans touch, the outcome is only as good as its inputs. For now, anyway, remember that AI builds upon itself much like human knowledge bases.

The more important consideration is the same one that drives literature, art, philosophical, and political debates: What makes us human? Can that experience be conveyed to non-human forms? While AI can learn, synthesize, and make decisions based on that learning, it cannot replace the human experience of creativity and emotion, at least not yet. And that’s what makes humans unique, layering on our experiences and human attributes – such as resilience, grit, tenacity, and a laundry list of others – to the mix.

While it may be scary that ChatGPT passed an exam given by a Wharton Business School professor, give an AI tool five minutes in a room with an angry client or a brief for a highly sensitive press release. It can handle the task, but it can’t add on the emotional intelligence that is still so necessary and valuable.

How creatives can harness AI

When it comes to marketing, emotional intelligence is crucial. It’s what allows us to make an impact, to tap into audiences, and to deliver creative that packs a punch. It’s a certain je ne sais quoi that makes audiences feel something and connect with content on a deeper level.

Alison is special because it lets humans do what they do best – create meaningful, thoughtful, and emotive ad creative that sparks responses in others. And it uses the AI for things best left to machines: What colors work best in ads? Text? Sounds and characters? Alison.ai can do all the analysis so your team can focus on creating the elements that sorely need the human touch to set it apart.

AI vs. People

In conclusion, AI has rapidly become a ubiquitous presence in our daily lives, offering solutions to a wide range of tasks and jobs that were traditionally completed by humans. However, the question remains: Will AI eventually replace human creativity and workmanship? While AI has been around for over 50 years, it has only been in the past 30 years or so that processing capacity has improved to the point where true artificial intelligence is possible.

AI systems are only as good as their foundational frameworks, and for now, they build upon themselves much like human knowledge bases. However, the more important consideration is what makes us human and whether that experience can be conveyed to non-human forms. While AI can automate many tasks, it cannot replace the human experience of creativity and emotion, at least not yet. Therefore, it is important to view AI as a tool that can assist and augment human creativity and workmanship rather than a replacement for it.

About the Author:

Asaf Yanai, a visionary entrepreneur and the Co-founder and CEO of Alison.ai, has been at the forefront of technological innovation for over 15 years, challenging conventional boundaries and transforming industries. Alison.ai, the third company Asaf has successfully founded, stands as a testament to his exceptional ability to identify opportunities, drive growth, and lead teams toward achieving remarkable outcomes. His previous roles, including VP of Growth, Business, and Marketing Optimization and Head of Media Buying at world-class online marketing companies, have honed his expertise and strategic acumen. An entrepreneur at heart, Asaf holds a B.A. in Business Administration and an MBA in Marketing from IDC Herzliya in Israel. His entrepreneurial journey, marked by a relentless pursuit of progress and visionary leadership, serves as an inspiration for many in the tech industry.

Der Beitrag Will AI Replace Human Creativity? erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright: venturebeat.com – “Israel’s AI Startups Carry On As Employees Mobilize for War, Run to Shelters”

AI startups in Israel, which have provided some of the country’s biggest tech success stories, are trying to carry on with regular business operations after the violent surprise attack by Hamas left over 900 Israelis killed and hundreds kidnapped over the weekend. At the same time, they are working to support employees who are being called to the front lines of the newly-declared war with Gaza.

“Tough times. Gut-wrenching and blood-curdling stories. Our 9-11. But we’ll prevail,”  Yoav Shoham, co-founder of AI21 Labs, which competes with OpenAI in the LLM space, told VentureBeat by email. Shoham, who is also a professor emeritus at Stanford University, added that he is currently hosting a family in his home “who were in the eye of the storm.”

And Uri Eliabayev, an AI consultant and lecturer who is the founder of Machine & Deep Learning Israel, the country’s largest AI community, asked VentureBeat to edit his comments to sound appropriate in English because he wrote them “while running to the shelter.”

Many artificial intelligence researchers and data scientists, he said, are working on several projects to meet the current needs of the war. “People with vast knowledge in the field of NLP, vision, and more are building tools that will help fight disinformation and fake news and also help locate and find the people who got kidnapped,” he explained. “Everyone here is working now at 200% of their capacity.”

AI startups have provided some of Israel’s biggest tech success stories

Tech has long been Israel’s fastest growing sector, boasting over 10% of Israel’s labor force. AI startups, in particular, have provided some of the country’s biggest business success stories recently: These include AI21 Labs, which recently joined the unicorn club with a funding round of $155 million at a valuation of $1.4 billion; Pinecone, the vector database company that raised $100 million in April; and Gong, another Israeli-founded unicorn that uses AI to transform revenue teams.[…]

Read more: www.venturebeat.com

Der Beitrag Israel’s AI Startups Carry On As Employees Mobilize for War, Run to Shelters erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Der Beitrag Israel Studienreise 2023 erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright: prnewswire.com – “Deci Unveils Groundbreaking Generative AI Foundation Models and Dev Suite, Enabling Rapid Performance and Cost Efficiency”

TEL AVIV, Israel, Sept. 13, 2023 /PRNewswire/ — Deci, the deep learning company harnessing AI to build AI, announced today the launch of innovative generative AI Foundation Models, DeciDiffusion 1.0 and DeciLM 6B, as well as its inference Software Development Kit (SDK) – Infery LLM. These groundbreaking releases are setting a new benchmark for performance and cost efficiency in the realm of generative AI.

The intensive computational requirements for training and inference of generative AI models hinder teams from cost-effectively launching and scaling gen AI applications. Deci’s innovations directly address this gap, making scaling inference efficient, cost-effective, and ready for enterprise-grade integration. By using Deci’s open-source generative models and Infery LLM, AI teams can reduce their inference compute costs by up to 80% and use widely available and cost-friendly GPUs such as the NVIDIA A10 while also improving the quality of their offering. The models introduced by Deci cater to diverse applications, ranging from content and code generation to image creation and chat applications, among many others.

Models introduced by Deci include ‘DeciDiffusion 1.0’, a blazing-fast text-to-image model that generates quality images in less than a second, 3 times faster than the renowned Stable Diffusion 1.5 model. Next in the spotlight is DeciLM 6B, a 5.7 billion parameter model. While its accuracy stands toe-to-toe with industry giants like LLaMA 2 7B, Falcon-7B, and MPT-7B, what truly sets it apart is its blazing inference speed—clocking in at an astonishing 15 times faster than the Meta LLaMA 2 7B. Rounding out the lineup is ‘DeciCoder,’ a 1 billion parameter code generation LLM released a few weeks ago. Not only do these models deliver unparalleled inference speed, but they also provide equivalent or better accuracy.

“For generative AI to truly revolutionize industries, teams need mastery over model quality, the inference process, and the ever-pivotal cost factor,”  said Yonatan Geifman, CEO and co-founder of Deci. “At Deci, our journey and extensive collaborations with the world’s AI elite have equipped us to craft a solution that’s nothing short of transformative for enterprises diving into Generative AI. With our robust array of open-source models and cutting-edge tools, we’re setting the stage for teams to redefine excellence in their generative AI ventures.”[…]

Read more: www.prnewswire.com

Der Beitrag Deci Unveils Groundbreaking Generative AI Foundation Models and Dev Suite, Enabling Rapid Performance and Cost Efficiency erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Dalith Steiger and Andy Fitze, Co-Founders of SwissCognitive, World-Leading AI Network – “Understanding the Weather Better – With Pangu-Weather, a 3D High-Resolution System for precise forecasting”

For centuries, the weather has fascinated mankind, as we have always been directly dependent on the elements. The awareness for the importance of weather and the preparation for various weather phenomena enters our minds once again when natural disasters occur. Recently, this has been the case with increasing frequency, and we must acknowledge that we are reliant on predictable weather conditions.

The importance of weather forecasting for business

For those earning their living in agriculture, this realization may sound almost laughable, as they constantly keep themselves informed on the forecast to take the best possible precautions for their livestock, crops and other produce. However, it is not only agriculture which is affected. Weather also has a direct impact on the energy industry, the construction industry, insurance companies and many more. But for all industries applies: Preparations are only as accurate and useful as the forecasts they are based on.

The accuracy of weather forecasts: Understanding complex systems

Unfortunately, weather forecasts are not as accurate as the global community wants them to be. This is exactly why the HUAWEI CLOUD AI team chose to focus on weather predictions. In the words of Dr. Tian Qi, Chief Scientist of HUAWEI CLOUD AI Field, an IEEE Fellow, and Academician of the International Eurasian Academy of Sciences: “Weather forecasting is one of the most important scenarios in the field of scientific computing because meteorological prediction is a very complex system, yet it is difficult to cover all aspects of mathematical and physical knowledge. […] (Huawei 2023). Let’s find out together, how existing forecasting systems can be strengthened.

Methods to predict weather

At present, the weather is predicted by numerical methods (NWP). Numerical methods are highly sensitive to the initial time point from which a model assumes because there are many uncertainties no matter which starting point is chosen. Therefore, large errors can be embedded in forecasts after only a few days of predicting. This is why meteorologists use ensemble forecasts. They include several starting points, which are based on slightly different conditions. Thus, the error rate is reduced (LMU – Faculty of Physics o.J.). Even if the error rate is lowered, it cannot be completely eliminated. According to Bi et al. (2023, S. 541), one reason for this is the required computational overhead of NWP which “limits the amount of ensemble members that may be included in a model, hence weakening the diversity and accuracy of probabilistic weather forecasts.” The solution for this and other challenges in weather forecasting is Pangu-Weather, an AI-based system.

Pangu-Weather, an AI-based system

Pangu-Weather trains deep networks for fast and accurate numerical weather forecasting (Bi et al. 2023, S. 537). The use of Pangu-Weather allows meteorologists for example to apply their expertise to the model in order to control noise and as a result improve ensemble forecast while simultaneously reducing costs (Bi et al. 2023, S. 537).

The concept of using AI-based systems in weather forecasting is not entirely new to the field. Deep learning methods assume that complex relationships between input and output date can be conceptualized by abundantly training a model with data sets without fully understanding the underlying physical procedures. Methods of deep learning were first applied to problems of precipitation forecasting and based on radar data or satellite data (Bi et al. 2023, S. 541). But according to Bi et al. (2023, S. 533–535) 3D models like Pangu-Weather herald a breakthrough in terms of speed and accuracy in numerical weather forecasting. This is because they train deep networks in a revolutionizing way.

How does Pangu-Weather work?

Like other models based on deep learning methods, Pangu- Weather captures relationships between two points in time. The Pangu-Weather model is trained on 39 years of global weather data (Bi et al. 2023, S. 537). New about 3D models is, that they can capture these relationships in three dimensions instead of only two. This additionally allows relationships between atmospheric states at different pressure levels to be detected. (Bi et al. 2023, S. 533) This results in Pangu-Weather being at times more accurate and also faster compared to two-dimensional models in forecasting the weather. A prime use case is, that Pangu-Weather is more than 10,000-times faster than the world’s best NWP, the operational IFS of ECMWF when it comes to producing deterministic forecast results on reanalysis data. In this case, it achieves greater accuracy as well (Bi et al. 2023, S. 535–537). These findings apply to sustained forecasts, but also to the prediction of extreme weather phenomena (Bi et al. 2023, 533-334).

Let’s read from Dr. Tian Qi again and find out, what the future might hold in terms of possibilities: “At present, Pangu-Weather mainly completes the work of the forecast system, and its main ability is to predict the evolution of atmospheric states. Our ultimate goal is to build next-generation weather forecasting framework using AI technologies to strengthen the existing forecasting systems (Huawei 2023).

3D AI-based models: A breakthrough in weather forecasting

For us at SwissCognitive, this is fantastic news. The breakthroughs in AI are happening even faster than they were predicted! One can even say that the potential of AI models in weather forecasting has been vastly underestimated. Therefore it has not been taken seriously by many scientists around the world according to Sven Titz a journalist at the renowned newspaper NZZ (2023). This also had to do with the fact that developments in this area usually tend to be incremental and progress is made rather slow. So, people were just not expecting results of such magnitude! The fact that scientists speak of a “possible paradigm shift” or “imminent breakthrough” (Titz 2023), can be considered a great success for the HUAWEI CLOUD AI team. However, the success story continues: It has been the first time that employees of a Chinese technology company are the sole authors of a Nature paper, according to the publication’s own index (Huawei 2023).

Pangu- Weather: A competitive model

In the estimate of SwissCognitive, Pangu- Weather shows that 3D weather forecasting models are relevant real-world application cases. It is a competitive model with vast potential. An example from May of 2023 illustrates this in an outstanding way. Remember, when Typhoon Mawar caught the world’s attention as the strongest tropical cyclone of the year thus far? According to the China Meteorological Administration, Pangu-Weather accurately predicted the trajectory of Typhoon Mawar five days before it changed course in the eastern waters of the islands of Taiwan (Huawei 2023). The difference in terms of error rate compared to the IFS of ECMWF is impressively visualized across the data points, as shown in the figure below:

Source: (Bi et al. 2023)

Pangu- Weather: The future of weather forecasting

Not only the model’s accuracy is impressive, but also the way the findings are distributed. Commenting on the significance and quality of the research by HUAWEI CLOUD, the academic reviewers from Nature explained that not only is Pangu-Weather very easy to download and run, but that it is executed quickly on even a desktop computer. “This means that anyone in the meteorological community can now run and test these models to their hearts’ desire. What a great opportunity for the community to explore how well the model predicts specific phenomena. That’s going to help with progress in the field.” Another reviewer noted that “the results themselves are a significant step beyond previous results. This work will, in my opinion, make people reevaluate what forecasting models might look like in the future” (Huawei 2023).

It is precisely this open approach, making insights available to all and providing the necessary food for thought on how to rethink the future in a field, that determines the success of an approach in SwissCognitive’s view. This is impressively demonstrated by Pangu- Weather. This case is clear proof that when researched and used with ethical standards considered, AI can lead to the improvement of living conditions and, most notably, the economic upliftment of global communities.

References

Bi, Kaifeng; Xie, Lingxi; Zhang, Hengheng; Chen, Xin; Gu, Xiaotao; Tian, Qi (2023): Accurate medium-range global weather forecasting with 3D neural networks. In: Nature 619 (7970), S. 533–538. DOI: 10.1038/s41586-023-06185-3.

Huawei (2023): Prestigious science journal Nature publishes paper about Pangu Weather AI Model authored by HUAWEI CLOUD researchers. Meteorological model shows strong performance when compared with traditional prediction in speed and accuracy. Online verfügbar unter https://www.huawei.com/en/news/2023/7/pangu-ai-model-nature-publish, zuletzt aktualisiert am 06.07.2023, zuletzt geprüft am 28.07.2023.

LMU – Faculty of Physics (o.J.): Ensemble Vorhersagen und Vorhersagbarkeit. Online verfügbar unter https://www.meteo.physik.uni-muenchen.de/DokuWiki/doku.php?id=arbeitsgruppen:ensemble_vorhersagen, zuletzt geprüft am 22.07.2023.

Titz, Sven (2023): Umsturz bei der Wettervorhersage: Modelle mit künstlicher Intelligenz holen die herkömmlichen Vorhersagemodelle ein 2023, 05.07.2023. Online verfügbar unter https://www.nzz.ch/wissenschaft/wettervorhersage-mit-kuenstlicher-intelligenz-wird-konkurrenzfaehig-ld.1745565?reduced=true, zuletzt geprüft am 28.07.2023.

About the Authors:

Dalith Steiger is a serial entrepreneur and a global AI Strategist and Thought-Leader. She belongs to the top pioneering women in cognitive technologies and one of the top digital shapers and leading voices in the global AI ecosystem. Dalith was featured in Onalytica’s Who’s Who in AI report as a global key opinion leader. She was born in Israel, grew up in Switzerland, and studied mathematics and business informatics at the University of Zurich. With Andy Fitze she co-founded the award-winning AI start-up SwissCognitive, and the CognitiveValley Foundation. Dalith is a global AI-strategy advisor and speaker, sharing her extensive knowledge and experience in the field of AI around the world. She sits in several boards and juries, is leading the Swiss IT Leadership Forum, advises various companies in their AI journey, mentors young women and girls in tech, and teaches AI & Machine Learning in a CAS module at the Applied University of Luzern. Besides her drive for cognitive technologies, she is also a loving mother of two young women, a passionate mountain biker and a big fan of high-heel shoes.

Andy Fitze is a serial entrepreneur, digital cognitive strategist, AI influencer, and top global AI and digital transformation advisor for start-ups and enterprise boards. Andy was featured in Onalytica’s Who’s Who in AI report October 2021 and is one of the top digital shapers. With Dalith Steiger he co-founded the award-winning start-up SwissCognitive, and the CognitiveValley Foundation. He is president of the Swiss IT Leadership Forum, member of the Board of Directors of SwissICT. Andy sits in several Boards of Directors of various companies. Andy is a lecturer and Member of the Strategic Advisory Board at Bern University of Applied Sciences and is a lecturer at the ETH for CAS Architecture Digitization. Previously Andy worked as Group CIO of RUAG, and at PostFinance he was responsible for IT governance. He holds a degree in electrical engineering (HTL), an Executive MBA from the University of St. Gallen, and received the Swiss CIO Award for Best IT Manager in Switzerland in 2015.  To share his 30 years of extensive knowledge and experience, Andy is often seen on global stages. He is also a passionate skipper on the oceans – providing him with a great balance for head and soul.

Photo credit: Andy Fitze

Der Beitrag Understanding the Weather Better – With Pangu-Weather, a 3D High-Resolution System for precise forecasting erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.