$100B for AI Chips, $40B for AI Bets – SwissCognitive AI Investment Radar

AI investment shows no signs of slowing, with capital flowing across semiconductors, cloud AI, financial AI, and responsible AI initiatives. This week, TSMC is preparing a staggering $100 billion investment in U.S. chip production, reinforcing the U.S. AI supply chain. Meanwhile, Anthropic’s valuation tripled to $61.5 billion, after securing $3.5 billion in funding to keep pace with OpenAI and DeepSeek.

The private sector’s AI appetite remains insatiable. Blackstone’s Jonathan Gray emphasized AI’s dominance in global investment trends, while Guggenheim and billionaire investors assembled a $40 billion AI investment pool to fuel finance, sports, and media innovation. Meanwhile, Canva’s AI report revealed that 94% of marketers have now integrated AI into their operations, marking a fundamental shift in business strategy.

The global AI race is also drawing government interest. The European Commission announced a €200 billion mobilization for AI investments, alongside France’s €109 billion push, as President Macron aims to position Europe as a heavyweight in AI development. Across the globe, China’s Honor pledged $10 billion to AI investment, deepening ties with Google for a global expansion.

The infrastructure for AI applications continues to scale rapidly. DoiT announced a $250 million fund dedicated to AI-driven cloud operations, while Shinhan Securities backed Lambda Labs with a $9.3 million investment to advance NVIDIA GPU-powered AI cloud services. Meanwhile, Accenture is doubling down on AI decision intelligence, backing Aaru to improve AI-powered behavioral simulations.

Beyond the corporate sphere, responsible AI investments are gaining traction. Chinese firms are increasing spending on ethical AI as part of a broader strategy to align AI governance with innovation. Meanwhile, Blackstone committed $300 million to AI-driven Insurtech, supporting AI-powered safety solutions in insurance.

With tech giants, startups, and governments all placing massive bets on AI, the sector’s financial landscape is evolving faster than ever. Investors are watching closely as AI’s long-term ROI takes center stage.

How will the capital influx shape AI’s next phase? The coming months will bring more answers.

Previous SwissCognitive AI Radar: AI Expansion and This Week’s Top Investments.

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 $100B for AI Chips, $40B for AI Bets – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Samir Anil Jumade – “The Relentless Tide of Technological Disruption: Are You Ready?”

The world is evolving at an unprecedented pace, driven by rapid technological advancements. Many industries that once seemed invincible have either vanished or are on the verge of collapse due to their failure to adapt. The rise of artificial intelligence (AI), automation, blockchain, and digital platforms is fundamentally reshaping how businesses operate.

In this article, we explore how past giants like Kodak and Nokia disappeared, how today’s industries are facing a similar existential crisis, and how individuals and businesses must prepare for this inevitable transformation.

The Rise and Fall of Industry Giants

Remember Kodak? In 1997, they employed 160,000 people and dominated the photography market, with their cameras capturing 85% of the world’s images. Fast forward a few years, and the rise of mobile phone cameras decimated Kodak, leading to bankruptcy and the loss of all those jobs. Kodak’s story isn’t unique. A host of once-dominant companies, like HMT, Bajaj, Dyanora, Murphy, Nokia, Rajdoot, and Ambassador, failed to adapt and were swept aside by the relentless tide of technological change. These weren’t inferior products; they simply couldn’t evolve with the times.

This isn’t just a nostalgic look back. It’s a stark warning. The world is changing faster than ever, and we’re on the cusp of another massive transformation – the Fourth Industrial Revolution. Think about how much has changed in the last decade. Now imagine the next ten years. Experts predict that 70-90% of today’s jobs will be obsolete within that time frame. Are we prepared?

Look at some of today’s giants. Uber, the world’s largest taxi company, owns no cars. Airbnb, the biggest hotel chain, owns no hotels. These companies, built on software and connectivity, are disrupting traditional industries and redefining how we live and work. This disruption is happening across all sectors.

Consider the legal profession. AI-powered legal software like IBM Watson can analyze cases and provide advice far more efficiently than human lawyers. Similarly, in healthcare, diagnostic tools can detect diseases like cancer with greater accuracy than human doctors. These advancements, while offering immense potential benefits, also threaten to displace a significant portion of the workforce.

The automotive industry is another prime example. Self-driving cars are no longer science fiction; they’re a rapidly approaching reality. Imagine a world where 90% of today’s cars are gone, replaced by autonomous electric or hybrid vehicles. Roads would be less congested, accidents drastically reduced, and the need for parking and traffic enforcement would dwindle. But what happens to the millions of people whose livelihoods depend on driving, car insurance, or related industries?

Even the way we handle money is transforming. Cash is becoming a relic of the past, replaced by “plastic money” and, increasingly, mobile wallets like Paytm. This shift towards digital transactions offers convenience and efficiency, but also raises questions about security, privacy, and the future of traditional banking.

From STD Booths to Smartphones: A Revolution in Communication

Think back to the time when STD booths lined our streets. These public call offices were once essential for long-distance communication. But the advent of mobile phones sparked a revolution that swept STD booths into obsolescence. Those who adapted transformed into mobile recharge shops, only to be disrupted again by the rise of online mobile recharging. Today, mobile phone sales are increasingly happening directly through e-commerce platforms like Amazon and Flipkart, further highlighting the rapid pace of change.

The Evolving Definition of Money

The concept of money itself is undergoing a radical transformation. We’ve moved from cash to credit cards, and now mobile wallets are gaining traction. This shift offers convenience and efficiency, but it also has broader implications. As we move towards a cashless society, we need to consider the potential impact on financial inclusion, security, and privacy.

The Message is Clear: Adapt or Be Left Behind

The message is clear: adaptation is no longer a choice; it’s a necessity. We must embrace lifelong learning and upskilling to navigate this rapidly changing landscape. We need to foster creativity, critical thinking, and problem-solving skills – qualities that are difficult for machines to replicate. The future belongs to those who can innovate, adapt, and thrive in a world increasingly shaped by technology. The question is: will you be ready?

Additional Points to Consider:

· The environmental impact of technological advancements, both positive and negative.

· The ethical considerations surrounding AI and automation.

· The role of government and education in preparing the workforce for the future.

· The potential for new industries and job roles to emerge. By staying informed and proactive, we can harness the power of technology to create a better future for all.

References:

1. D. Deming, P. Ong, and L. H. Summers, “Technological Disruption in the Labor Market,” National Bureau of Economic Research, Working Paper No. 33323, Jan. 2025.
2. K. Hötte, M. Somers, and A. Theodorakopoulos, “Technology and Jobs: A Systematic Literature Review,” arXiv preprint arXiv:2204.01296, Apr. 2022.
3. D. Acemoglu and P. Restrepo, “Assessing the Impact of Technological Change on Similar Occupations,” Proceedings of the National Academy of Sciences, vol. 119, no. 40, e2200539119, Oct. 2022.
4. D. Acemoglu and P. Restrepo, “Occupational Choice in the Face of Technological Disruption,” National Bureau of Economic Research, Working Paper No. 29407, Oct. 2021. 5.S. Y. Lu and R. Zhao, “Artificial Intelligence for Data Classification and Protection in Cross-Border Transfers,” IEEE Transactions on Big Data, vol. 7, no. 3, pp. 536-545, 2021.

About the Author:

Samir Jumade is a passionate and experienced Blockchain Engineer with over three years of expertise in Ethereum and Bitcoin ecosystems. As a Senior Blockchain Engineer at Woxsen University, he has led innovative projects, including the Woxsen Stock Exchange and Chain Reviews, leveraging smart contracts, full nodes, and decentralized applications. With a strong background in Solidity, Web3.js, and backend technologies, Samir specializes in optimizing transaction processing, multisig wallets, and blockchain architecture.

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Copyright: forbes.com – “4 Questions To Design Your Personal Relationship With AI In 2025”

Artificial intelligence is bound to weave through the year that we have just entered. Over the past months it has become a constant companion for millions, on the desktop, the phone or both. The pace is accelerating.

Whether we want to recognize it or not, AI is steadily reshaping how we work, play, socialize, and think. From algorithmically driven movie suggestions on Netflix and deals on Amazon to ChatGTP for the creation, and editing of text and audio visuals; passing via ai powered dating to 24/7 companion technology. And that’s only the consumer-facing side of AI’s expanding fingerprint. Much more is going on behind the scenes. AI-powered decision making has been changing human lifes at mass scale for years, from human resource management to the attribution of social services, insurance schemes and legal systems. The tech free space is shrinking.

AI 2024

In the U.S., the generative AI market is projected to grow from $36.06 billion in 2024 to $356 billion by 2030, driven by applications in industries like healthcare, finance, and retail. And that’s just one piece of the worldwide giga business that generative AI represents. Globally 65% of organizations now use generative AI regularly, according to McKinsey. That’s double the percentage from just a year ago. In China up to 83% of business leaders actively use these tools.

Unfortunately there is no « free lunch ». Generative AI models consume massive amounts of energy. A single query to an advanced model like ChatGPT can use ten times the electricity of a standard Google search. Globally, data centers powering AI could double their energy demands by 2026. That makes their environmental footprint extensive.[…]

Read more: www.forbes.com

Der Beitrag 4 Questions To Design Your Personal Relationship With AI In 2025 erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright: technologyreview.com – “Readying Business For The Age Of AI”

Rapid advancements in AI technology offer unprecedented opportunities to enhance business operations, customer and employee engagement, and decision-making. Executives are eager to see the potential of AI realized. Among 100 c-suite respondents polled in WNS Analytics’ “The Future of Enterprise Data & AI” report, 76% say they are already implementing or planning to implement generative AI solutions. Among those same leaders, however, 67% report struggling with data migration, and others cite grappling with data quality, talent shortages, and data democratization issues.

MIT Technology Review Insights recently had a conversation with Alex Sidgreaves, chief data officer at Zurich Insurance; Bogdan Szostek, chief data officer at Animal Friends Insurance; Shan Lodh, director of data platforms at Shawbrook Bank; and Gautam Singh, head of data, analytics, and AI at WNS Analytics, to discuss how enterprises can navigate the burgeoning era of AI.

AI across industries

There is no shortage of AI use cases across sectors. Retailers are tailoring shopping experiences to individual preferences by leveraging customer behavior data and advanced machine learning models. Traditional AI models can deliver personalized offerings. However, with generative AI, these personalized offerings are elevated by incorporating tailored communication that considers the customer’s persona, behavior, and past interactions. In insurance, by leveraging generative AI, companies can identify subrogation recovery opportunities that a manual handler might overlook, enhancing efficiency and maximizing recovery potential. Banking and financial services institutions are leveraging AI to bolster customer due diligence and enhance anti-money laundering efforts by leveraging AI-driven credit risk management practices. AI technologies are enhancing diagnostic accuracy through sophisticated image recognition in radiology, allowing for earlier and more precise detection of diseases while predictive analytics enable personalized treatment plans.[…]

Read more: www.technologyreview.com

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Credit: This interview by Andreas Jäggi with Dalith Steiger-Gablinger has been published in German as “80 Prozent der Menschen wollen durch künstliche Intelligenz (KI) effizienter werden” – “80% Of People Want To Become More Efficient Through Artificial Intelligence (AI)”

Dalith Steiger-Gablinger is co-founder of the award-winning AI start-up SwissCognitive. With her extensive international experience in AI strategy consulting, Dalith will deliver the keynote at the Swiss Conference for HR/Internal Communication – Fit for the Future: AI in HR and Internal Communication – Perikom

What does SwissCognitive actually do?

We identify promising start-ups in the field of Artificial Intelligence (AI) around the world in order to bring them together with investors. We advise start-ups on their development and strategy and open doors to strategic partners and customers in line with our motto. “We unleash the potential of AI in business.”

How do you rate the Swiss AI start-up scene?

We are well positioned and have many great spin-offs from ETH/EPFL, the universities, and other higher education institutions. Unfortunately, venture capital is more difficult to find here than in the USA, for example. I would like to see us develop a culture that prefers to invest rather than inherit because we help the next generation the most with innovation in our country.

How do you define AI?

For me, artificial intelligence is an inappropriate term. After all, we’re not talking about artificial birds when we talk about airplanes. Artificial intelligence conjures up the idea that AI is supposed to copy the intelligence of humans. And that’s scary. What we mean by AI is intelligent systems that use data and algorithms to find solutions that we humans would never have thought of, for example. Or systems that can carry out work processes more effectively and accurately.

What can’t AI do?

Enjoying human time. And what it should not do are things that only humans are entitled to do. Falling in love or getting married, for example. What I’m trying to say is that not everything that is possible is necessary.

Where is AI already being used in business?

For example, it has been very successful in the medical and healthcare sector. In image recognition, AI is used to detect malignant cell growth at an early stage. There are also various applications in increasing productivity, such as in the supply chain and logistics, which also have a positive effect on CO2 reduction. When using AI, I recommend asking yourself whether a process should simply be improved or whether even new business models are needed.

And what about the acceptance of AI?

Studies show that over 80 percent of people want help from AI systems to work more efficiently and use it to further their careers. For me, this figure reflects a high level of acceptance for the use of AI. Employers run the risk of losing their employees to the competition if they do not keep up with this development.

Where is AI being used in HR?

A lot is already being done in the recruiting process. And when used well, AI can help us to make our unconscious biases visible when making personnel decisions and help us to have more diverse, creative, motivated and efficient employees. Much more will be possible in the future. It is worth to mention the possibility of recognizing employees who are on the verge of resigning at an early stage and finding solutions with them on how they can continue to contribute their potential to the company.

And where do you see the potential in communication?

I also see great and fascinating opportunities here. For example, I can articulate ideas well, but I am only able to translate them into an emotional, convincing visual world with the support of AI. Or people who, for various reasons – including a disability – have struggled with verbal expression are given new access with the help of AI. Also, at the level of research, analysis, summaries and translation, we are already seeing immense efficiency gains through artificial intelligence (AI).

Perikom’s question is: How do you use artificial intelligence in communications or HR in your company?

Event information:

Swiss Conference for HR/Internal Communication Fit for the Future – AI in HR and Internal Communication

May 16, 2024, 13:00, at the HWZ University of Applied Sciences in Business Administration Zurich

Where is AI succeeding in delivering on the promise of more efficient? Where are AI tools already in use and bringing relief to work in HR and internal communication?

Keynotes

• “What opportunities does AI offer for our day-to-day work?” Dalith Steiger-Gablinger, SwissCognitive
• “Deep fakes, AI and the credibility of the media”. Mathias Heller, Netzwerk Faktencheck, and Florian Notter, Product Manager AI, both SRF

Break-out sessions

• “Using AI with your own digital assistants: how it works.” Pascal Rosenberger, eggheads
• “Artificial intelligence in recruitment”. Fabio Blasi, Head of AaraNetos Cantonal Hospital
• “Application of AI for the entire value chain of internal communication.” Daniel Jörg, Farner Consulting
• “Opportunities through AI for personnel management.” Ambros Scope, Zurich Insurance

Complete program and registration: perikom website

About Perikom:

Professional association for personnel management and internal communication. Promoting cooperation between communication and HR experts. For effective internal communication, it is essential that human resources and organizational communication work together. Find out more: www.perikom.ch

Original article in german.

Der Beitrag 80% Of People Want To Become More Efficient Through Artificial Intelligence (AI) erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Ethan Millar – “Why Should Healthcare Leaders Focus On Human-Machine Partnerships?”

Human-machine partnerships with AI and ML continue to trend and dominate clinical effectiveness. It supports new drug trials, APIs, and lab R&D increasing business revenue. It also has the potential to be sensitive towards patient care. The biggest transformation lies in a pivotal change: instead of ‘responsiveness’ the focus shifts to ‘prevention.’

AI technology facilitates the sensitive healthcare industry in diverse ways, primarily relying on emotional intelligence to succeed. For example, healthcare systems in developed nations find it an uphill task to keep the growing, aging population away from medical collapse. AI’s suitability and capability work wonders for patients’ physical and mental progress.

Healthcare leaders should make serious investments in human-machine partnerships to improve clinical effectiveness. Automation also supports revenue generation, organized operations, and handling of medical records. AI can benefit hospitals, specialty clinics, labs, and pharma companies.

Key drivers for successful AI dependencies

• How is AI evolving in healthcare outcomes?
• AI as a ‘human’ partner and powerful tool
• Clinical and admins benefit from automated features
• Support of virtual healthcare assistants
• Digital twin models
• Convergence of mental and physical well-being

How is AI evolving in healthcare outcomes?

 Humans have been using machines for a long time to save time and energy. Various tools have features with unique strengths and weaknesses that can be harnessed. In the healthcare industry, the human-machine partnership is being tested with the emergence of AI. The tools are being developed to augment better medical outcomes. They are already capable of transforming the operations of the medical fraternity. This disruption leads to more innovation for humans and machines to operate successfully.

How will man and machine collaboration become more effective in the coming years?

The secret lies in safety, accessibility, and affordability for patients at the core of this industry. The following table shows its effectiveness as AI evolves to deliver better patient care. Pharma and life sciences are likely to grow rapidly with AI technology.

AI as a human partner and powerful tool

AI tools add value and benefits primarily in two areas, keeping in mind patient care:

• Clinical section
• Administrative section

Big data includes a plethora of medical case studies involving genetics and innovation via technology. The most significant trends in the healthcare industry vis a vis big data include studies focused on:

1. Patient-oriented care– it begins with validation from researchers as they conduct trials in an organized way. Systematic data mitigates errors, increases quality control of services, reduces costs for patients from false readings or reports, and improves payment structures.
2. From drug development to commercialization– experts are outsourced for extensive trials in clinics, specialty hospitals and government facilities. Compliance with rules regarding time-to-market products is critical.
3. Pooling of unstructured data- it includes prescriptions, diagnostics, lab tests, patient care records, and insurance claims.

Clinical data management is bringing automation with:

• Complete data sharing between different medical experts to treat patients.
• Reliability of records during processing from one format to another.
• Fewer problems in large clinical trials are expected with the automation of data.

Multiple IDs can be created to make results more authentic during the crucial R & D process. The actual authorization is limited to a few personnel only. It ensures the trial design is secure and safe. Any clinical failure is rectified with the expertise of specific professionals involved during the audit. This drastically reduces false claims during trials with guidelines provided to meet future healthcare demands.

There are challenges in both areas while adopting AI capabilities. With future progress, the gaps can be bridged for the following:

• Data access is only for the authorized staff.
• Treatment disparity due to bias in patient trials. The disproportions are reduced.
• AI tools are difficult to control when evaluating results. Thus, transparency is compromised. New tools will create clarity.
• Privacy risks are never ruled out. As data is available to more organizations globally.
• The adoption of AI tools is restricted due to development by different parties. They are a liability or restriction for continued use.

There are other areas where innovative technologies are useful and complement human-machine partnerships.

How do virtual healthcare assistants help?

Due to the pandemic, many patients started seeking online help for medication, medical opinion, and continued care. Many clinicians are satisfied with virtual assistants to bond with patients. They can offer advice for treatment, diagnosis, and prescribing medicines. The assistants talk to patients and answer questions.

They offer answers and communicate with them. It reduces the need for patients to visit the doctor when they need urgent attention. AI chatbots can schedule and set up appointments. The new versions provide companionship to patients. It is useful as it keeps the patient mentally engaged and at peace!

Digital twins: modeling organs virtually

There is much hype regarding the emergence of ‘digital twins’ in the healthcare industry. Being unique, they provide digitized, personal, and custom options for the medical fraternity to work. This concept works on creating a ‘digital twin’ of a ‘person,’ ‘organ,’ or a ‘tool.’ It is ideal for testing drugs and wearable medical devices for patient usage. Thus, they pave the way for man and machine to deliver better results with the least effort.

In a hospital environment, they are created for lab results, studying computer models, and understanding the environment. While it is understandable that a hospital replica can be made for research and improvement, modeling human organs is challenging. With AI capabilities, it is possible. A treatment plan or a critical surgery can be conducted with the help of digital twins. In the future, more tools will be introduced to understand its benefits in real-time surgery with robots.

Convergence of mental and physical well being

While there are rapid advances in AI tools for physical health, the other side, mental health, cannot be ignored. It is more critical to take care of the patient’s mental health while offering treatments. It also assumes importance for the growing aged population in several developed nations. They need to survive with the least human interference.

New-age patients have different expectations from their healthcare service providers. Their needs are getting more complex. Converging man and machine to address this reality is a challenge. Being proactive can set the pace for delivering robust solutions with the combination of the emotional intelligence of doctors and the capabilities of artificial intelligence.

Is AI a wake-up call in this realm?

 Depression, anxiety, and loneliness form the deadly triumvirate that needs immediate attention. Globally, many adults suffer from mental illnesses while tackling long-term physical ailments. Depression is also a major contributor to diseases that take long to cure. AI tools like chatbots can detect depression risks in patients.

1. Early detection can provide better treatment options and get help from nurses, relatives, and volunteers.
2. AI bots can provide personalized recommendations, cures, or therapies. They collect feedback and prompts to offer advice.
3. Such AI tools are a boon in robust organizations and are effective for everyone’s well-being. Restrictions on privacy and access give confidence in people to interact with machines. This is yet another novel human-machine partnership that can be explored.
4. In organizations where diversity creates issues or there is sexual harassment, it can be mentally agonizing. AI can create a safe environment to express and get support.

With the help of AI Consulting solutions, the burden on healthcare systems will be reduced if organizations focus on the mental needs of their employees. If you are a part of the healthcare industry as a policy-maker or decisions taker the above content should be adopted with the best practices.

Conclusion

Where to start AI adoption in healthcare?

As a leader, where would you start your AI journey to ensure that the man and machine work successfully? Begin by opting for low-risk and high-impact solutions. Automation with data and smaller clinical trials is the best way forward. Move slowly and see the results before investing in this realm. Getting familiar with this technology will pave the way to use chatbots, virtual assistants, and digital twins more effectively.

Invest in clinical documentation and its time-consuming analysis. With AI’s predictive tool features the efforts are not wasted and present accurate results. Be a part of this revolution and meet the needs of patient care.

About the Author:

Ethan Millar is a technical writer at Aegis Softtech especially for computer programming like artificial intelligence, emergency technology, Big Data, data analytics, and CRM for more than 8 years. Also, have basic knowledge of AI and technology are vast fields with numerous experts contributing to various aspects of research, development, and application.

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AI Investment Trends And Tech Transformations – SwissCognitive AI Radar

The AI investment landscape is experiencing a whirlwind of activity, from the UK attracting a remarkable £30 billion from world-leading investors, including Microsoft’s pledge of £2.5 billion towards AI development, to the growing importance of flexibility in adapting to AI’s rapid evolution across various sectors. Berlin-based AI venture studio Merantix raises €100m to propel startups into a new era of AI innovation, while AI’s influence in protein design and engineering sees a significant boost with Cradle’s $24 million funding.

AI’s impact on data center investments is becoming increasingly pronounced as the demand for AI technologies skyrockets, pushing global investments towards a monumental half a trillion dollars by 2027. Individual investors are also finding their footing in the AI world, with platforms like Magnifi linking over $500M in assets, demonstrating the potential of AI in personal finance management.

Professional investors across Europe are now viewing AI as the most compelling long-term investment theme, despite the economic challenges of 2022. Microsoft’s further investment in British AI infrastructure reaffirms this sentiment, signifying a strong commitment to AI’s potential in driving economic growth.

The year 2023 marks a surge in AI startup investments, highlighting investor confidence in AI’s future. However, the banking and insurance sectors are experiencing a dichotomy of views on generative AI, with mixed emotions about its role in the industry.

Despite a 45% decrease in overall tech funding in Europe, AI shines brightly as a resilient and promising sector. This evolving landscape underscores the importance of navigating these shifts with insight and agility.

In this edition, we delve into these multifaceted developments, exploring how they shape the current and future state of AI investments. Join us in unraveling the stories and investment trends that are defining the world of AI today.

Previous SwissCognitive AI Radar: Unexpected Twists, Fiascos and AI Investment News.

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 AI Investment Trends And Tech Transformations – SwissCognitive AI Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright: capgemini.com – “91% Of Banks & Insurers Have Initiated Their Cloud Journey, Yet Many Are Unable To Realize Full Business Value”

The inaugural Capgemini Research Institute’s World Cloud Report –Financial Services, published today, reveals 91% of banks and insurance companies have now initiated their cloud journey, a significant increase from 2020, when only 37% of firms had embarked on their cloud transformations. However, this high rate and its corresponding investment does not translate to effective cloud adoption at scale. More than 50% of firms surveyed have only moved a minimal portion of their core business applications to the cloud.

Today, 89% of financial services executives believe that a cloud-enabled platform is crucial for delivering the agility, flexibility, innovation, and productivity necessary to meet escalating business demands. Yet, most firms are still not cloud-native[1] and instead tend to opt for a “lift and shift”[2] approach that hinders the full benefits of cloud-based systems’ scalability and flexibility advantages.

Implementing cloud at scale is critical to harvest full value of AI investments

Nearly two-in-three financial services firms (62%) have started using artificial intelligence (AI), with a target to utilize it across the full value chain in the next two years. Despite their potential, AI, including generative AI and machine learning technologies, are yet to be used at scale in the financial services industry and therefore are having limited impact. The research found that to date much of the cloud investments have been applied towards modern, user-friendly, AI-based, customer-facing applications. Fewer investments are made in back-end core processing systems that are providing inputs to consumer-facing front end applications, resulting in a poor overall user experience.

According to the report, the migration of internal core systems to suitable cloud-enabled ecosystems and platforms is critical to unlock the complete potential and efficiency of AI and generative AI. In return, this will spark the emergence of a wider range of business growth opportunities over the coming years. Today, in banking and insurance, firms are testing their generative AI use cases across customer onboarding, credit analysis, financial planning, policy renewals and to support client servicing models.[…]

Read more: www.capgemini.com

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Global Investments Reshaping Tomorrow – SwissCognitive AI Radar

Welcome back to SwissCognitive’s AI Radar, the vanguard of artificial intelligence investment insights. In this edition, we’re tracking investments and deciphering the strategic manoeuvres and bold aspirations that are sculpting the AI landscape of tomorrow. This isn’t just about dollars and deals; it’s about vision and value creation in a world increasingly powered by intelligent technology.

From Google’s landmark $2 billion investment in Anthropic, challenging the OpenAI realm, to Britain’s £118 million commitment to nurturing AI skills, we are witnessing a fascinating global chess game of innovation. These moves tell us more than just where money flows; they paint a picture of where nations and corporations envision their future in an AI-integrated world.

The landscape is diverse and dynamic. In the U.S., a cradle of tech innovation, AI startups are springing up like stars in the night sky, each burning with potential. Meanwhile, the UK strategically fortifies its position, not just by funding but by opening doors to global AI talent. This is a testament to the understanding that advancing AI is not just about technology; it’s also about the human minds that drive it.

And it’s not just the tech giants or the Western world that are in this game. We see strategic partnerships forming in the Middle East with NEOM’s investment in autonomous mobility, Sequoia Capital’s growing AI portfolio indicating a broader investment trend, and insurtech startups like Sprout.ai revolutionizing traditional sectors.

Look beyond the surface of these investments and delve into what they signify for the future of technology, business, and society. It is crucial to understand not just the ‘how much’ but the ‘why’ and ‘what next.’

Previous SwissCognitive AI Radar: Billion-Dollar AI Bets.

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 Global Investments Reshaping Tomorrow – SwissCognitive AI Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Funds and Functions: The Interplay of AI Innovation and Investment – SwissCognitive AI Radar

This edition strides across this expansive landscape, connecting dots from the bustling boulevards of global commerce to the meticulous avenues of insurance modeling.

Visa, a financial titan, affirms its belief in the dawning age of generative AI, staking its claim with a robust $100 million initiative. While on the railways, Brightline and Wi-Tronix converge technology and safety, securing a grant to usher in AI-driven vigilance. The behemoth that is Amazon casts a promising shadow over the future as it melds its might with Anthropic in a $4bn alliance, teasing a harmonious blend of commerce, safety, and next-gen AI solutions.

The precision of AI in reshaping the insurance industry is unveiled by Envelop Risk, offering a vantage point into AI’s metamorphosis from mere theory to a tangible game-changer. Funding tales narrate the rise of Prins AI, with its innovative stride in digital identity creation, while Invoke AI paints a canvas where creativity and code coalesce, empowering artisans of the modern era.

In the bustling corridors of venture capital, a dance ensues. AI emerges not as a replacement but as a partner, refining the art of due diligence. Yet, with every sunrise comes caution. As the surge of AI-driven start-ups burgeons, venture capitalists wear lenses of discernment, filtering through the mosaic of pitches for those genuine gems.

In this tableau of transformative tales, the SwissCognitive AI Radar beckons you to journey across the undulating terrains of AI, sensing its nuanced footprints from the realms of digital commerce to the intricate interplays of web design and venture foresight.

Previous SwissCognitive AI Radar on The AI Investment Spectrum: From Stocks to Startups

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Der Beitrag Funds and Functions: The Interplay of AI Innovation and Investment – SwissCognitive AI Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.