The AI Trajectory 2025: AI Navigator Insights

Conference Overview

Step into the future at our 3-hour global virtual conference where the insights from the “AI Navigator” take center stage to chart the AI trajectory toward 2025.

Our aim is to empower leaders to invest wisely, embrace collaboration, and scale AI innovations effectively, by uniting strategic insights with real-world applications.

By reflecting on the recent technological advancements and incorporating experts’ opinions, insights, and forecasts, we can prepare for future obstacles and opportunities. It is therefore essential and vital to discuss the findings with additional great minds, and to broaden the spectrum of expert opinions.

Key Focus Points

Investing in AI-Driven Innovation: Explore how strategic investments in AI can drive efficiency, innovation, and long-term growth within organizations across various industries.

Embracing Collaboration and Co-Innovation: Delve into the importance of partnerships and collaborative efforts in accelerating AI adoption and overcoming industry challenges.

Prioritizing Practical AI Integration: Learn about real-world applications and strategies for integrating AI into business processes effectively and responsibly.

Join us as we navigate the future of leadership and shape the AI trajectory toward 2025!

1 Focus
20 Experts
100+ Countries
3’000+ Viewers
1/2+m Followers

 

Virtual Conference 

A global-reaching conference series on AI.
NO SALES. Just content.
Practical AI under the magnifying glass of global AI leaders & experts.
3+k Conference Viewers | 100+ Countries | 20+ Speakers | 1/2+mill followers

Facilitated & Powered By

SwissCognitive | AI Ventures, Advisory & Research

Date and Time

04. December 2024, 16:00 – 19:00 CET

Location

Online

More Information

Contact Bianka Németvölgyi, bianka@swisscognitive.com

PREVIOUS CONFERENCES

---

Conference Speakers

Alberto-Giovanni Busetto

Chief AI Officer
HealthAI

Aleksandra Przegalinska

Associate Professor and Vice Rector for Innovations and AI
Kozminski University, Harvard University

Amanda Obidike

CEO and Co-Founder
STEMi Makers Africa

Andreas Welsch

Founder & Chief AI Strategist
Intelligence Briefing

Anita Puppe

Senior Consultant Strategy & Business Design, IBM iX DACH
Healthcare Industry AI Transformation Leader

Behshad Behzadi

CTO and Chief AI Officer
Sportradar

Bret Greenstein

PwC US Partner
Generative AI leader

Christian Dernbach

Senior Manager Business Intelligence Technology
Switzerland Tourism

Ingrid Vasiliu-Feltes

Founder & CEO
Institute for Science Entrepreneurship and Investments

Jacques Ludik

Founder & CEO, Cortex Logic & Cortex Group,
Founder & President, Machine Intelligence Institute of Africa

James Ong

Founder & Managing Director
Artificial Intelligence International Institute (AIII)

Jarrod Anderson

Chief Artificial Intelligence Officer
SYRV.AI

Jeannette Gorzala

CEO & Founder
Act.AI.Now

Johan Steyn

Founder, AI & Automation Thought Leader
AI for Business

José Pedro Almeida

Chief AI Strategist
World’s Top 70 Health AI

Maria Fay

AI Lead
SAP Switzerland

Markus Danhel

Head Data & AI
IBM Switzerland

Michael Wade

Tonomus Professor of Strategy and Digital
IMD

Michael Wegmüller

Co-Founder & AI Agilist
Artifact SA

Valeria Sadovykh

Technology Strategist
Microsoft

---

Conference Host & Facilitator

Dalith Steiger

Co-Founder, Global AI Thought Leader
SwissCognitive, World-Leading AI Network

Andy Fitze

Co-Founder, Digital Transformation Strategist
SwissCognitive, World-Leading AI Network

---

Conference Team

Bianka Németvölgyi

Digital Content Manager
SwissCognitive, World-Leading AI Network

---

Conference Team Contributors

Yuliya Romanyuk

Ambassador & Transformation Expert
SwissCognitive, World-Leading AI Network

Kilian Woods

Technology and Sustainability Educator

---

Virtual Conference

These virtual conferences are regular worldwide-reaching online events bringing dozens of global AI leaders and experts together to share their views, experiences and expertise in the development of AI to the benefit of business and society. These 3 hour-long events are transparently addressing the development of cognitive technologies – including successes and challenges – while reaching and connecting a global online community of over ½ million followers.

All the sessions and formats are strictly content-driven with a non-sales approach, allowing focused and open discussions with no BS just content. These events provide not only a platform to brainstorm and network but also to position experts, leaders, organisations, research developments, the current status and future outlook of AI. 

---

Der Beitrag The AI Trajectory 2025: AI Navigator Insights erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

For the conference details, agenda, speaker line-up, and handouts CLICK HERE.
For the conference recording CLICK HERE
“The AI Trajectory 2024. Invest for Impact Wrap-up”

Yesterday, at the “AI Trajectory 2024 – Invest for Impact” virtual conference, we embarked on an enlightening journey, exploring the multifaceted role of AI across various sectors. From dissecting investment strategies in AI to leveraging its potential in healthcare, the event unfolded as a tapestry of insights, innovations, and forward-thinking discussions. Esteemed speakers from diverse industries shared their profound expertise, shedding light on the transformative impact of AI and setting the stage for a future where technology and humanity coalesce more seamlessly than ever. This article serves as a wrap-up for those who missed this illuminating event, encapsulating the key highlights and takeaways from our panel of visionary experts.

Why Invest in AI Today

With Petra Vorsteher and Ragnar Kruse.

We stand at the threshold of a transformative era, where AI’s role in our lives is not just supportive but deeply integral. Investing in AI today is not just an option but a necessity, propelled by its rapid technological maturity and the increasing attention it commands at the top echelons of business leadership.

Dalith Steiger, Co-Founder of SwissCognitive, World-Leading AI Network, Petra Vorsteher, Founding Partner AI.FUND; Founding Partner AI.INVEST, Ragnar Kruse, Founding Partner & Managing Director, AI.FUND; Founder, AI.HAMBURG

The Future of Investments in AI Foundation Models

With Jacques Ludik, Cinderella Amar, David Shrier, Nils Reimers, John Wesley

The discussion around AI foundation models marked a pivotal shift in perspective. It’s a landscape where democratization of technology grapples with security and ethical use. For investors, grasping these nuances is vital for safeguarding their interests and remaining ahead in a rapidly changing environment. This includes striking a balance between harnessing proprietary data and adapting to the trend of democratization. They must navigate a world where foundational AI models, once the domain of a select few due to high development costs, are now becoming more accessible, prompting a need for innovative and sustainable business models.

Jacques Ludik, Founder & CEO, Cortex Logic & Cortex Group, Founder & President, Machine Intelligence Institute of Africa, Cinderella Amar, Managing Partner, Glass Ventures, David Shrier, Professor of Practice, AI & Innovation, Imperial College Business School; Founder & Managing Director, Visionary Future, Nils Reimers, Director of Machine Learning, Cohere, John Wesley, Senior Investment Director, NVentures

Bringing the Reading Gap: AI Innovations in Dyslexia Support

With Artem Pochechuev

The landscape of technology is undergoing a profound transformation with AI-driven initiatives, significantly impacting both education and practical applications. In the realm of education and personal development, AI is revolutionizing the way we support individuals with dyslexia, serving as a prime example of how human-centric AI systems are unlocking people’s full potential.

Artem Pochechuev, AI Expert, Head of Data Science, Sigli

Healthcare Industry Transformation – Harnessing Automation, AI, and Talent

With Alexander Büsser, Laura Modiano, Anita Puppe, Heinrich Zetlmayer, Jose Pedro Almeida

The integration of generative AI in healthcare is creating a paradigm shift by efficiently structuring and analyzing complex data, leading to improved patient care and outcomes. This technology is crucial in consolidating fragmented data, transforming workflows, and the healthcare value chain, thereby enhancing efficiency and freeing resources for more critical tasks. Looking to the future, AI is pivotal in addressing global healthcare challenges, facilitating international collaboration and the sharing of medical data, and fostering a more unified and effective global healthcare system.

Alexander Büsser, Director Data, AI & Platforms, Idorsia Pharmaceuticals, Laura Modiano, Principal Venture Capital and Startups Business Development, EMEA AWS, Anita Puppe, Healthcare Industry AI Transformation Leader; Senior Consultant Strategy & Business Design, IBM iX DACH, Heinrich Zetlmayer, General Partner, yabeo; Founder & General Partner, Blockchain Valley Ventures, Jose Pedro Almeida, Chief AI Strategist for Healthcare, Advisory Board Member, Intelligence Ventures

Computer Vision in Water

With Omer Bar-Ilan, Co-Founder, CEO, Lynxight

Simultaneously, the integration of computer vision in aquatic environments marks the dawn of a new technological era. This technology is not only optimizing feeding patterns and enhancing navigation for underwater ROVs but also playing a critical role in public safety. Its capability to rapidly assess risks in water environments, such as swimming pools, for drowning prevention, is a testament to its versatility and impact, showcasing the diverse and transformative applications of AI across various sectors.

Omer Bar-Ilan, Co-Founder, CEO, Lynxight

STEM Evolution 2024: Redefining Science in the Age of AI and LLM

With Solomon Amar, Jeanne Lim, Stéphanie Bretonniere, Arnaud Quintin, Assaf Araki

In the evolving landscape of STEM, we are witnessing a redefinition of scientific approaches and applications. This includes the development of scalable science-based applications that leverage content generation, idea ideation, and knowledge navigation, all underpinned by engaging AI bots. In In the meantime, AI’s role in industries like food and automotive is transformative, optimizing resources like water for sustainability and reshaping customer engagement and internal processes. Of course, this progress is accompanied by challenges in privacy, bias, and the need for regulatory measures, highlighting the importance of a balanced and ethical approach to AI integration in our society.

Solomon Amar, Founder & CEO, ALLSTARSIT; Founder, AI Labs, Jeanne Lim, Angel Investor, Co-founder & CEO, beingAI, Stéphanie Bretonniere, Founder & CEO, WE IMPACT.WORLD, Arnaud Quintin, VP, Organisation and Transformation, Renault Group, Assaf Araki, Investment Director, Intel Capital

Rhythmic Intelligence: AI’s Impact on Music and Health

With Walter Werzowa

Finally, we head how AI is revolutionizing the music industry by enabling anyone to create music, thereby enhancing creativity and democratizing the art form. Rather than feeling threatened, we can learn more about how currently available technology and AI can help us take our music-making skills to even higher levels creating works that were previously impossible.

Walter Werzowa, University Professor – University of Music and Performing Arts Vienna; Head Of Music, MYTHOS MOZART

If you missed our “The AI Trajectory 2024. Invest for Impact.” virtual conference, here you can find the video recording:

For the conference details, agenda, speaker line-up and handouts CLICK HERE

Der Beitrag Navigating the Future: The AI Trajectory 2024 – Invest for Impact Virtual Conference Wrap-up erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

---

Conference Speakers

David Shrier

Founder & Managing Director, Visionary Future
Professor of Practice, AI & Innovation, Imperial College Business School

Cinderella Amar

Managing Partner, Glass Ventures

Heinrich Zetlmayer

Founder & General Partner, Blockchain Valley Ventures
General Partner, yabeo

Anita Puppe

Senior Consultant Strategy & Business Design, IBM iX DACH
Healthcare Industry AI Transformation Leader

Jacques Ludik

Founder & CEO, Cortex Logic & Cortex Group
Founder & President, Machine Intelligence Institute of Africa

Assaf Araki

Investment Director, Intel Capital

Arnaud Quintin

VP, Organisation and Transformation, Renault Group

Laura Modiano

Principal Venture Capital and Startups Business Development, EMEA AWS

Artem Pochechuev

Head of Data Science, Sigli

John Wesley

Senior Investment Director, NVentures

Petra Vorsteher

Founding Partner AI.FUND; Founding Partner AI.INVEST

Jeanne Lim

Co-founder & CEO, beingAI

Stéphanie Bretonniere

Founder & CEO, WE IMPACT.WORLD

Nils Reimers

Director of Machine Learning, Cohere

Solomon Amar

Founder & CEO, ALLSTARSIT; Founder, AI Labs

Walter Werzowa

mdw – University of Music and Performing Arts Vienna, University ProfessorUniversity Professor |
Head Of Music, MYTHOS MOZART

Ragnar Kruse

Founding Partner & Managing Director
AI.FUND; Founder, AI.HAMBURG

Omer Bar-Ilan

Co-Founder and CEO, Lynxight

William De Prêtre

Head of Development, Allkind Group

Jose Pedro Almeida

Chief AI Strategist for Healthcare
Advisory Board Member, Intelligence Ventures

Alexander Büsser

Director Data, AI & Platforms, Idorsia Pharmaceuticals

---

Conference Host & Facilitator

Dalith Steiger

Co-Founder, Global AI Thought Leader
SwissCognitive, World-Leading AI Network

Andy Fitze

Co-Founder, Digital Transformation Strategist
SwissCognitive, World-Leading AI Network

---

Conference Team

Livia Spiesz

Head of Global Partnerships and Communications
SwissCognitive, World-Leading AI Network

Bianka Németvölgyi

Digital Content Manager
SwissCognitive, World-Leading AI Network

---

Virtual Conference

These virtual conferences are regular worldwide-reaching online events bringing dozens of global AI leaders and experts together to share their views, experiences and expertise in the development of AI to the benefit of business and society. These 3 hour-long events are transparently addressing the development of cognitive technologies – including successes and challenges – while reaching and connecting a global online community of over ½ million followers.

All the sessions and formats are strictly content-driven with a non-sales approach, allowing focused and open discussions with no BS just content. These events provide not only a platform to brainstorm and network but also to position experts, leaders, organisations, research developments, the current status and future outlook of AI. 

---

Media Partners

 

 

 

 

Der Beitrag The AI Trajectory 2024. Invest for Impact. erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

---

Conference Speakers

Evelina Antilla

Managing Partner, Wellstreet VC | Co-Founder, Justic

Asaf Yanai

CEO, Alison.ai

Jeff Winter

Senior Director of Industry Strategy, Manufacturing, Hitachi Solutions America

Jarrod Anderson

Senior Director, AI, Digital & Innovation, ADM

Valeria Sadovykh

Technology Strategist | Responsible AI Lead, Microsoft

Simon See

Global Head Nvidia AI Technology Centre & AI Nation, NVIDIA

Robert Marcus

Founder and CEO, ALPHA10X

Yoav Evenstein

AI International Keystone – Connecting Research, Production, Standards and Regulation of AI

Camila Manera

Chief Data & Product Officer, LIBRODEPASES
Women Techmakers Ambassador, Google

Monique Morrow

Independent Board Director, Hedera
Special Coach, Innosuisse

Igor van Gemert

Lead CyberSecurity and Artificial Intelligence, ITsPeople |
Founder and Owner, ResilientShield

Lars Tvede

Host, Supertrends radio & podcast, 24syv
Award-winning serial entrepreneur | Investor | Bestselling author

Arjun Narayan

Head of Trust, Safety, and Ops Excellence, SmartNews

Esha Joshi

Co-Founder, Yoodli

Arek Skuza

Volta Venture, Founder
US Consulting Director

Carolina Pinart

Group Head of R&D Information Technology (AVP), Nestlé

Jayant Narayan

AI & Machine Learning, Technology Policy, Strategy & Governance
Member, Expert group on the Ethics of AI, UNESCO

Harvey Castro

Author of “ChatGPT and Healthcare”
Medical Advisor, PONS | Cellotex

George Boretos

Founder & CEO, FutureUP

---

Conference Host & Facilitator

Dalith Steiger

Co-Founder, Global AI Thought Leader
SwissCognitive, World-Leading AI Network

Andy Fitze

Co-Founder, Digital Transformation Strategist
SwissCognitive, World-Leading AI Network

---

Conference Team

Livia Spiesz

Head of Global Partnerships and Communications
SwissCognitive, World-Leading AI Network

Bianka Németvölgyi

Social Media Manager
SwissCognitive, World-Leading AI Network

---

Virtual Conference

These virtual conferences are regular worldwide-reaching online events bringing dozens of global AI leaders and experts together to share their views, experiences and expertise in the development of AI to the benefit of business and society. These 3 hour-long events are transparently addressing the development of cognitive technologies – including successes and challenges – while reaching and connecting a global online community of over ½ million followers.

All the sessions and formats are strictly content-driven with a non-sales approach, allowing focused and open discussions with no BS just content. These events provide not only a platform to brainstorm and network but also to position experts, leaders, organisations, research developments, the current status and future outlook of AI. 

---

Der Beitrag Beyond Efficiency: AI’s Creative Potential erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

“Generative AI: A New Frontier for VC Investments” Q&A with Heinrich Zetlmayer, Assaf Araki and Bo Percival

As the world continues to witness the transformative potential of Generative AI, and venture capitalists progressively invest in this emerging technology, your questions and concerns have never been more important.

In this follow-up article, we delve deeper into the thought-provoking questions gathered from our global audience during the recent “Generative AI: A New Frontier for VC Investments” conference. We’re thrilled to present you with a curated selection of responses from our distinguished panellists: Heinrich Zetlmayer, Assaf Araki, and Bo Percival.

Let’s keep the conversation going. Read on to explore these comprehensive responses from our experts, and get a front-row seat to the evolving narrative of Generative AI in the VC world.

For the conference details, agenda, speaker line-up, and handouts CLICK HERE.
For the conference recording CLICK HERE

Zeev Abrams: Although Heinrich mentioned that having proprietary models (and IPs) is important, considering the rate of change in the AI landscape (faster than any other field I’ve ever been in!), how important is that “barrier” for a startup, compared with getting market traction and a strong potential market?

[Heinrich Zetlmayer]: If you go too “thin” as a startup in the market you might get quick initial traction but the challenge will be to hold on to that beyond first 12 months. Also investors will challenge it. So you need a good strategy to expand from initial gains.

[Assaf Araki]: For the last 20 years, data scientists have been focused on open-source models; after the breakthrough in deep learning a decade ago, the reliance on open source has increased, and today, all the main DL libraries are open source. The AI community is collaborative and open source is a core value (data scientists are from Mars, and developers are from Venus, both CS but different in culture). Even if a company has a breakthrough in a proprietary model, it will only last for a short time as another innovation will overcome it. The core IP in AI should be at the product level. Bringing together an ensemble of models to create a stable product that optimizes prediction for the business KPI (vs. the highest model accuracy). Startups should focus on combining innovation across different algorithms and integrate it smoothly into their application; The company IP is to make the solution robust, doesn’t hallucinate, or become unstable in production while bringing real business value.

Q: Eleanor Wright: Will bias in venture capital lead to bias in AI?

[Heinrich Zetlmayer]: There are +10k venture capital firms. The question of bias in AI is an important one but i think goes beyond VCs.

[Bo Percival]: I think this is a great question and one that anyone in VC spaces need to consider carefully. We already see this happening as a larger proportion of AI based funding has automatically been funnelled into typical tech ecosystems (e.g. the Bay and The Valley). At the Venture Fund we advocate and act on making atypical investments for exactly this reason. It has been said that AI tech is an extension of the values of those who create it. To this point, that we need to ensure that there is diverse representation of those underrepresented values that we don’t traditionally see represented in frontier tech spaces. This may include emerging markets, diverse co-founders and investments in early-stage companies in atypical domains.

Q: Antonio Sainz: The real creators of AI/ML are a few players, for VC the way is more to find use case generators and use all the tools that exist and can be used, is this your point of view?

[Heinrich Zetlmayer]: Yes and No. I know of very deep AI/ML startups that are more small/mid-sized and can excel in their niche, and are attractive targets for VCs as well. But… AI is a general-purpose technology, so theoretically, you can use it anywhere, and therefore you need to select an area of focus as VC or investor. For us, we have seen that analyzing AI applications in industry verticals allows us to structure the complexity and yield attractive investment possibilities.

[Assaf Araki]: I agree that a small number of players are the creators of AI algorithms, but the creation of AI products is endless. AI is another way of writing SW by the algorithm, not the entire product. To build a financial service product, you must know how to write SW and have business acumen. That still needs to change with AI, and you still need business acumen. Context is highly needed to build a good product. Building models without context can take you a long way, but adding context is the last mile; without it, the product is incomplete.

[Bo Percival]: Particularly in the work of UNICEF, we believe strongly in AI work addressing real problems that face the less represented populations. We are passionate about problems and where there are tools created by the few, we want to ensure that are both accessible and inclusive of the many (or in many cases, the minority. The challenge we face is that those ‘few’ often represent a specific subset of the population who may not have or share the experiences of the many. For this reason, we believe VCs need to reflect carefully on how existing tools may include or exclude underrepresented populations and further amplify the very problems we are aiming to address.

Q: Danny Mwala: How will AI assist in the proliferation of cyber crime and crime criminals some who are state supported actors bearing in mind that there is a high deficit of Cyber security professionals around the globe?

[Heinrich Zetlmayer]: All technologies are very fast used also by criminals but we have seen in the crypto industry and in the cybersecurity industry that quickly startups are created that fight cybercrime and add more and more automation which in return alleviates a bit the lack of skilled staff. AI and ML will certainly contribute to automation of fraud detection. Law enforcement agencies are also a typical a sponsor/first client of startups in tech crime detection and prevention space.

[Bo Percival]: I am not an expert in cybercrime and there are people better positioned to answer this question. That being said, my experience tells me that not only do we have capacity gap globally, but we have particularly concerning capacity gaps in specific geographies and domains. The risk here, is that if this capacity is not filled in an intentionally inclusive and equitable way then vulnerable populations stand to be exploited at significantly higher rates than other groups.

Q: Kuzey Çalışkan: What will be the key industries in the future?

[Heinrich Zetlmayer]: I think we live in the “digital decade” which makes IT combined with ever more progress in the medical/health sector probably the most important sectors.

[Bo Percival]: Great question, I wish I had an answer to this one. To be honest, due to the rapid pace of change, I don’t think we truly know all the industries today that will be key for tomorrow. My only hope is that whatever they are, they are inclusive, equitable and accessible for people everywhere and not just restricted to the Western, Education, Industrialised, Rich and Deomcratised countries at the cost of others.

Q: 5. Arvind Punj: Can anyone comment on the change in the education system which is needed because of the LLM models impacting learning?

[Heinrich Zetlmayer]: I cannot give a complete answer here but the curriculums need to have more and more information technology in it because this is what everybody needs to be skilled at in working responsibly with it.

[Assaf Araki]: AI should be mandatory for undergrads in CS and Engineering, we see some early adopters, but this is still a grad school topic in general.

[Bo Percival]: Education is a key component of the work of UNICEF and discussions are already taking place on how we can leverage LLMs and similar technology for greater positive potential for education. I think because the broader conversation on this topic is so nascent it’s too early to say in which direction this change is taking us. What we hope at UNICEF is that we are able to harness these and future technologies to increase the access and effectiveness for education purposes, while at the same time not losing important key human factors that should not be lost. If these technologies increase critical thinking, creativity, and other similar skills, that is fantastic. However, we also envision a world in which every child has access to education and that the growth and development of children is not perceived through a lens where technology is seen as a panacea or a replacement to education methodologies that are not focuses solely on concepts of learning as a road toward computational thinking alone.

Q: Margaret Glover-Campbell: When it comes to regulation, how can we ensure multiple points of view are taken into consideration? How do we safeguard against views that are too restrictive or too liberal?

[Heinrich Zetlmayer]: Regulations are made by the lawmakers in each country or region. It is important that the various viewpoints are voiced enough in public with enough public discussion so that lawmakers notice.

[Bo Percival]: Regulation is a critical conversation in the ability to move the ethical and responsible adoption of AI around the globe. Therefore, it will be important for representation to be both diverse and equitable. It will be important for regulators to ensure that opportunities are provided for the engagement of different voices to shape the development of regulation, regardless of colour, culture, or creed. Aspiring to a single vision for all will likely lead to an outcome that benefits the majority and further reinforces existing inequities in society. What is defined as ‘too’ one way, or another often depends on where on that spectrum an observer places themselves. Ensuring that there is representation from all ends of the spectrum including those on the furthest margins may not safeguard against going ‘too’ far in one direction of the other, but at the very least it should hopefully at least ensure that no one is excluded in ways that have been all ‘too’ common in the past.

This being said, as mentioned by the Secretary General just last week, the UN should be playing a critical role in facilitating these kinds of discussions to ensure that there is a neutrality to how these conversations are being had and how we can push toward a more free, open, inclusive and secure digital future for us all to live in.

Q: Nanjun Li: Do you think the world will be more divided as generative AI deepening the division of labour?

[Heinrich Zetlmayer]: AI and automation will definetly bring changes to the labour market as it is a large productivity enhancer. On the positive it will alleviate some shortages on the labour market but much more work has to be done to understand the societal impacts.

[Bo Percival]: I think it’s hard to predict one way or the other, and as we know from previous experience, what divides us rarely comes down to a specific issue alone, let alone a specific technology. While technology does have both the capacity and the potential to amplify division, it also has the potential to unite.

Q: mi nova: What is your view of TAM for Conversational Voice AI​, as a front end to Web3 solutions?

[Heinrich Zetlmayer]: I don’t have a number for that but expect it to be the main interface in the mobile space.

Q: Boris Bend: Thinking beyond the atypical: How do you see the world changing once true AGI will be achieved and when do you personally expect that this may be achieved? (There are quite a few experts that expect that this could happen much faster than most people believe due to the current exponential progress of AI research.)

[Bo Percival]: As someone with a background in cognitive psychology, I think the idea of ‘AGI’ is something that is still somewhat contested. While there have been some notable reports of us being close, I think that there are still more questions than answers on this topic. It would be remiss of me to take a position or make a prediction on when I personally think this could happen, as I still believe there are still many questions on what ‘true’ would mean in this case. To be able to claim ‘true’ we would have to first accept an assumption based on traditional and somewhat outdated definition of ‘intelligence’. Even the tests we use these days are still contentious in terms of what they measure. We would also need to be able to say with assertion whether or not the imitation of human intelligence constitutes ‘true’ intelligence. While this is an interesting thought experiment, I think that to understand AGI we would first need to truly understand the ‘I’, and I believe that understanding is moving much slower than the current progress of technology.

Q: Any thoughts on Healthtech like Apple Vision for patient treatments? There is definitely a demand for this from the sector but until now, there are not much change. (Nurses have a heavy workload in this area (except for robot surgery and MRI scans)).

[Heinrich Zetlmayer]: Healthtech is a very large area for AI and there are many startups and AR/VR etc.. are additional important innovations. Until it comes to the patient, hurdles have to be overcome in each national health system which each has its own setup of medical care system between doctors/health providers, health insurances and regulation. That slows it.

[Bo Percival]: Health is another critically important topic area for UNICEF. In fact, this year The Venture Fund will be releasing a public call for applications related to health, both mental and physical, to which, I am sure the AI applications will be considerable.  The challenge however with health, is the difference between technology that is engaging and technology that is efficacious. As we all know, technology can be designed to engage users and keep them connected, however, what the technology sector struggles with is the time it takes to evaluate a health intervention to better understand it’s efficacy in the medical sense. I believe this creates an areas of high risk in the health sector. In a survey done in 2019, of the approx. 60,000 health related apps in the Apple and Play stores only around 3.5% had any empirical evidence to support their efficacy.

If we want to leverage AI effectively, we should be finding the problems in healthcare that are most suited to the value that AI brings and applying them to that. Unfortunately however, we start with the solution and try and find a problem. It is most concerning to me that this conversation and the breakthroughs in this area are led by tech companies and not necessarily by academic or health institutions. The risk we run here is that we are developing solutions for shareholders and that the most needed solutions may not be the most profitable ones.

Q: Eleanor Wright: How protectable is AI IP?

[Heinrich Zetlmayer]: I am not a lawyer who can answer that better from the legal side. The legal protection of IP is often overestimated, more often the topic is: do I have unique data sets, unique employees, know how to access, unique models and unique market access in combination that allow me a sustainable competitive advantage? Many base AI components will be and are available as open source or from providers.

[Assaf Araki]: See my reply to Arvind Punj above. It is irrelevant because of the pace of innovation and the enormous effort invested in global research.

[Bo Percival]: I’m not sure I’m the best one to comment on this. However, as a core part of UNICEF’s Venture Fund’s thesis, we invest intentionally in open-source products, including open data, open models and open products. For us, we see it as paramount that contributions to organisations like ours result in investments that deliver Equitable returns. It is for this reason that we would actually like less AI to be protected so it is transparent and can be leveraged to make the world better for children.

Q: Antonija Hinckel Osojnik: Do you consider environmental footprint of AI? This is now part of regulative negotiations.

[Heinrich Zetlmayer]: We expect a sharp decline in training and running costs for AI and there will be much technological development. It is therefore difficult to judge the impact, at least for us. So currently I think the best lever is at the level of data centers/computer farms and to make sure they are optimized.

[Bo Percival]: Yes, indeed, we can’t be working for future generations unless we are working for a better climate. In addition to the climate conscious practices that we have embedded into the organisation, we also invest in reviews and evaluations of our Fund and our portfolios to ensure that we are being not only climate aware but we are taking climate action.

Q: Marufa Bhuiyan: Based on the data and investment, Which country is the AI capital of the world?

[Heinrich Zetlmayer]: Silicon Valley, due to its combination of large tech firms and universities, certainly is a center but the landscape is rapidly evolving and we will have startups all over the global map. Geography will not be a good criterion for searching for great companies to invest in.

[Assaf Araki]: There are different ways to measure it. One is by publications in the main AI conferences such as NeurIPS; the second is by papers on arxiv, and the third is by location of the leading AI companies. Ultimately, it is like asking who is the c apital of CS around the world. You have many competencies centers in North America, Europe, China, and Israel.

There are different ways to measure it. One is by publications in the main AI conferences such as NeurIPS; the second is by papers on arxiv, and the third is by location of the leading AI companies. Ultimately, it is like asking who is the c apital of CS around the world. You have many competencies centers in North America, Europe, China, and Israel.

[Bo Percival]: Unfortunately, I don’t have the data to support an informed response to this. What I would say is that we should strive to ensure that no specific country or city attains a ‘dominance’ over the field of AI. If we have learnt anything from history, it is that access to these technologies is key for more equitable development. As a result, we advocate strongly to ensure that technologies and building the capacity to develop these technologies should be accessible to people not just based on where they live but based on what enables better livelihoods and development. We would hate to think that we repeat errors of times past and we want to strive for a digitally decolonised future.

About the Authors:

Heinrich Zetlmayer is the founder, CEO and managing partner of BVV. His journey with BVV started at the launch of Lykke Corporation; the global trading platform based on blockchain technology. Heinrich saw a need for the investment of blockchain activity in the market, and with Lykke and his partners he set out to create BVV. Heinrich has a unique experience as the previous Vice President of IBM, Co-CEO of ESL, and an active member of the board in Lykke and Skaylink.

Assaf Araki is an Investment Director in Israel. He joined Intel Capital in 2018. In his role, Assaf is focused on investing in data, analytics, and machine learning platforms and applications worldwide. He has been involved in several investments including Anyscale, Opaque, OtterTune, Ponder, and Verta. Before Intel Capital, Assaf was an engineering lead on the Intel AI team leading multiple machine learning projects to reduce cost, increase revenue, accelerate the process, and improve products.

Bo Percival is a ‘geek for good’ working at the intersection of technology, economics, innovation, and social justice, using his diverse qualifications in psychology, design, economics, marketing, and interpreting to promote positive development. Currently, he is serving as a Senior Advisor for UNICEF’s Office of Innovation Ventures team, applying his extensive experience in open innovation across various fields in over 25 countries worldwide.

Der Beitrag Unlocking the Generative AI Investment Frontier: Expert Q&A – Part 2 erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

---

Conference Speakers

Danielle Gifford

Executive Director, Movement51
AI Project Selection Committee, Protein Industries Canada

Bo Percival

Senior Adviser, Innovation (Ventures)
UNICEF

Cédric Waldburger

Founder, Code & State | General Partner & Founder, Tomahawk.VC
Investor in Early Stage Tech Companies, tenderloin ventures

Assaf Araki

Investment Director
Intel Capital

Caroline Hultman

Investor, J12 Ventures | Seed Investor in Ivy & dema.ai
Co-Founder and Board Member, GAIN – Girls Are Investors

Heinrich Zetlmayer

Founder & General Partner, Blockchain Valley Ventures

Julie Maples

Co-Founder and Managing Director
FYRFLY Venture Partners 

Beny Rubinstein

CEO, Banco BV Israel | VP Global Innovation
Limited Partner, Maverick Ventures Israel
Chair, TIGER 21 Tel Aviv

Thomas Dübendorfer

Internet Entrepreneur and Business Angel
President, SICTIC
Information Security Expert

Alexander Stoeckel

Director Venture Capital
Philip Morris International

Philipp Stauffer

Co-Founder and Managing Director
FYRFLY Venture Partners 

Jacqueline Ruedin Rüsch

Founding General Partner, Privilège Ventures
Member, European & Global Women in VC

Jim O’Shaughnessy

Founder and CEO, O’Shaughnessy Ventures LLC
Executive Chair Board of Directors, Stability AI

Gali Bloch Liran

Founder & CEO, The Human Founder | Startup & VC Executive Coach I Angel Investor |
Founders Leadership Coach, Google for Startups Israel

David Casillas

Founder and CEO, Nyx software y tecnología
Co-Founder, Pixframe Studios

Stéphan – Eloïse Gras

Chief Executive Officer, Digital Africa
Co-Founder, Africa 4 Tech | Associate Professor, Sciences Po

Massimo Buonomo

Expert and Advisor for Investment Fund, AI and Blockchain, NEVA SGR |
International Expert – Ethics in Autonomous and Artificial Intelligence Applications, IEC

Lisa Cohen

Investment Director
Jerusalem Venture Partners, JVP

Yorai Fainmesser

General Partner
Disruptive AI L.P. Fund

Ken Forster

Founder & Executive Director
Momenta

Benjamin Levy

Co-Founder & General Partner
BootstrapLabs

---

Conference Host & Facilitator

Dalith Steiger

Co-Founder, Global AI Thought Leader
SwissCognitive, World-Leading AI Network

Andy Fitze

Co-Founder, Digital Transformation Strategist
SwissCognitive, World-Leading AI Network

---

Conference Team

Livia Spiesz

Head of Global Partnerships and Communications
SwissCognitive, World-Leading AI Network

Bianka Németvölgyi

Social Media Manager
SwissCognitive, World-Leading AI Network

---

Virtual Conference

These virtual conferences are regular worldwide-reaching online events bringing dozens of global AI leaders and experts together to share their views, experiences and expertise in the development of AI to the benefit of business and society. These 3 hour-long events are transparently addressing the development of cognitive technologies – including successes and challenges – while reaching and connecting a global online community of over ½ million followers.

All the sessions and formats are strictly content-driven with a non-sales approach, allowing focused and open discussions with no BS just content. These events provide not only a platform to brainstorm and network but also to position experts, leaders, organisations, research developments, the current status and future outlook of AI. 

---

Der Beitrag Generative AI: A New Frontier for VC Investments erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

To set up effective artificial intelligence software, a company needs a lot of data. But what happens if you don’t have that kind of specific information about your area? A Seattle-based startup, Mighty AI (formerly known as Spare5) will get it for you by paying subject-matter experts to spend a few minutes answering questions or performing tasks. Some examples include finding golf aficionados for IBM, people who can describe a photo for Getty Images, and radiologists or technicians to read tumor scans.

Race for data

The company, which renamed itself to reflect a focus on AI training tasks, is adding three new investors as part of a US$14mil (RM62.46mil) funding round: Intel Capital, Google Ventures and Accenture Ventures. It’s unveiling partnerships with Intel and Accenture, too. Spare5 was spun out of Seattle-based VC Madrona Venture’s labs in 2014, a mobile rival to Amazon’s Mechanical Turk program, which finds workers for tasks online. Around the same time, Getty, reached out to get help categorising images in its collection. Like Getty, customers increasingly wanted Fives – the people that take on the “microtasks” – to perform brief activities that train AI algorithms. So Spare5 refocused and renamed itself around that idea.

Getting data about Golf

“There’s an arms race in training data” for AI, said chief executive officer Matt Bencke. IBM, with its focus on Watson AI products, wanted to create a chat bot for spectators at the 2016 Masters golf tournament it sponsors. Using tablets on site or their own mobile phones, golf fans would be able to ask the bot questions or banter with it. The only problem? IBM couldn’t find enough annotated golf-related training data. So IBM sent Mighty AI a large body of information culled from the web that it thought was related to golf. Mighty AI found workers familiar with golf, had them tag information specific to the sport and compose questions and answers based on the material. That data became the basis of IBM’s Watson golf conversational agent […]

read more – copyright by www.thestar.com.my

Der Beitrag Real People Improve Artificial Intelligence erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.