New AI Investment Funds and Strategic Expansions – SwissCognitive AI Investment Radar

This week’s AI investment landscape sees bold financial commitments, expanding cloud infrastructure, and the growing influence of AI across industries. Oracle is set to invest £3.9 billion in the UK, alongside an additional $5 billion cloud expansion to strengthen AI adoption, signaling the company’s deep confidence in Britain’s AI future. Meanwhile, Saudi Arabia is launching a $40 billion AI fund, further establishing its role as a major player in the global AI race.

Microsoft’s AI investment strategy continues to gain momentum, earning an analyst upgrade as it builds out critical infrastructure. ARK Invest has joined a $403 million funding round for robotics firm Apptronik, highlighting investor enthusiasm for AI-powered automation. At the same time, Mirakl aims to push past $200 million in revenue with increased AI investments, showing how AI is reshaping business growth strategies.

In Asia, Thailand is attracting millions in AI data center investments, while Vietnam focuses on edge AI to compete in the global market. Azerbaijan is also setting its sights on AI by creating a strategy to attract foreign investment, positioning itself as an emerging tech hub.

AI’s role in finance and investment decision-making remains a focal point. National Grid Partners is committing $100 million to AI-driven energy solutions, while GapMinder Fund II is backing Romanian AI startup VoicePatrol, targeting real-time AI solutions for gaming. However, with AI’s growing influence, investors are warned about misinformation risks, reinforcing the need for well-vetted AI strategies.

With AI investments accelerating across industries, we continue to track how these financial commitments shape the broader technology and business landscape. Stay tuned for more insights in next week’s AI Investment Radar.

Previous SwissCognitive AI Radar: Major AI Funding Shifts.

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

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SwissCognitive Guest Blogger: Chad Patrick Osorio, Cross-Disciplinary University Lecturer for Environmental Economics, International Law & Social Psychology – “From Swiss Precision to Southeast Asian Potential: Unleashing the AI Advantage”

The Swiss, known for their timeless innovation, world-class precision, and culture of excellence, should consider investing in AI projects in Southeast Asia, a region ripe with opportunities and untapped potential. The International Monetary Fund notes that Asia Pacific hosts 35% of the world’s aggregate economic output. A leading powerhouse in the region is the Association of Southeast Asian Nations (ASEAN), collectively the 5^th largest economy in the world. The IMF foresees Southeast Asia to be the world’s fastest growing region. Indeed, the Swiss Federal Council has taken note of the region’s growing potential when it comes to trade and investment, and is pivoting towards ASEAN in the coming three years.

This article explores a number of compelling reasons why Swiss firms and investors should seize this opportunity and consider the untapped potential that await them in Southeast Asia.

Growing Market Potential

Southeast Asia is currently primed for remarkable economic boom. This is fueled by a rising middle class, urbanization, and increased digital adoption. Some of the region’s fastest-growing economies, such as Vietnam, Cambodia and the Philippines, present an ideal market for AI solutions. Investing in AI projects in Southeast Asia allows Swiss businesses to tap into this burgeoning market and gain a competitive edge in various sectors.

Investing in AI projects in these countries can serve as a strategic gateway for Swiss businesses to access the broader Association of Southeast Asian Nations (ASEAN) market. With a combined population of over 650 million and a rapidly growing consumer base, the ASEAN region offers immense opportunities for expansion and growth. By establishing a presence through AI projects, Swiss companies can position themselves for long-term success and establish valuable networks and partnerships across ASEAN countries.

Access to Global Talent

Southeast Asia boasts a vast pool of talented professionals, including engineers, data scientists, and AI experts. Many countries in the region are investing heavily in developing AI skills and capabilities, nurturing a strong talent ecosystem. In fact, a number of Southeast Asia’s leading universities have begun offering courses in AI and data science, with many more soon to follow suit. By investing in AI projects in Southeast Asia, Swiss businesses can gain access to this talented workforce, fostering collaborations and knowledge exchange that can propel their own AI initiatives to greater heights.

In addition, major cities in Southeast Asia, such as Singapore, Bangkok, and Jakarta, have evolved into vibrant hubs, attracting global businesses and startups alike. Together with academic and research institutions, these hubs offer a conducive environment for collaboration and innovation, providing Swiss firms with valuable opportunities to partner with local AI experts, universities, research centers, and businesses. By investing in AI projects in Southeast Asia, companies can leverage these thriving ecosystems and benefit from cross-pollination of ideas and expertise.

Addressing Unique Challenges

Southeast Asia faces distinct challenges that can be effectively addressed through the support of AI solutions. For instance, the region struggles with traffic congestion, infrastructure development, healthcare accessibility, and environmental concerns, among many others. Swiss-led AI initiatives can provide novel solutions to optimize transportation systems, improve infrastructure planning, enhance healthcare services, and promote sustainable practices. By investing in AI projects with use cases applicable in the Southeast Asian setting, Swiss companies can make a significant impact on the region’s development, all the while reaping substantial benefits. This also opens up possibilities for government support and institutional incentives.

Indeed, governments in Southeast Asia are actively promoting the development and adoption of AI technology. The Philippines joined the first 50 countries in the world to launch a National AI Strategy. Malaysia has proposed a “strategic quadruple helix partnership of government, academia, industry, and society” for its AI Roadmap. Singapore envisions itself to be a world leader in scalable, impactful AI solutions by 2030. Indonesia recently launched Stranas KA (Strategi Nasional Kecerdasan Artifisial), spanning 2020 to 2045. These are just some of the examples of how ASEAN countries, individually and collectively, are investing in infrastructure, creating supportive policies, and launching initiatives to foster AI-driven innovation. These government efforts provide a favourable environment for Swiss businesses and investors to enter the market and collaborate with local stakeholders. By leveraging these advantageous conditions, Swiss companies can navigate regulatory frameworks more easily and accelerate the implementation of AI projects. This is not to mention opening the potential for government contracts and partnerships for countries willing to learn from the Swiss AI experience.

IN SUM, investing in AI projects in Southeast Asia offers Swiss businesses a wealth of opportunities to expand their horizons and contribute to the region’s growth. The growing market potential and entry to the greater ASEAN market, access to talent and collaboration hubs, government support, and unique socioeconomic challenges make Southeast Asia an attractive destination for AI investments. Swiss companies and investors should seize the moment and harness the power of AI to drive innovation, create sustainable solutions, and establish themselves as leaders in this dynamic and promising region. By doing so, they can forge strong partnerships, unlock new markets, and secure a prosperous future in Southeast Asia.

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Fast forward 20 years and the “threat landscape”, to borrow from cybersecurity parlance, has shifted considerably. Yesteryear’s trojans and worms still exist, but they have been joined by an increasingly sophisticated group of malicious codes that are engineered specifically to bypass the basic cybersecurity most internet users rely on.

Further complicating the risk to today’s net users is just how connected we are. The single home computer has given way to smart devices in our pockets, on our wrists, and even running our thermostats. Greater connectivity is a boon for convenience, but it’s also a boon for cybercriminals seeking to infiltrate networks and garner data.

Antiviruses, while they still have their place and use, are simply not enough to protect individuals and businesses from the level of threats running rife on the interwebs.

Below are some of the developments cybersecurity experts are concerned about in 2020 and a few tools you need in your cybersecurity arsenal.

Artificial Intelligence (AI) enhanced cyber attacks

Machine learning and AI have triggered significant changes across all industries and to consumers. AI is in use in manufacturing, security, marketing, and countless other fields. Once the preserve of dystopian fiction, artificial intelligence is now mainstream. Have an Alexa in your house? You have an AI-enabled device.

While it might be incredibly helpful to us, AI is also giving cybercriminals a helping hand. The very same capabilities used to find and prevent cyberattacks are put to clever use by hackers in the form of adaptive malicious threats.

AI Fuzzing

Fuzzing is a practice of exploring a system to expose threats and vulnerabilities and is traditionally carried out by professional cybersecurity experts. AI fuzzing is the same process but bolstered by the capabilities of smart AI tools.

Hackers have now begun using AIF to commit crimes, despite the difficulties involved in creating these incredibly complex fuzzing systems. According to research by leading cybersecurity vendor Secure Computing, hackers are actively sharing their fuzzing findings with other cybercriminals in forums and chat rooms, further increasing the threat level.

Machine Learning positioning

Like AIF above, Machine Learning (ML) positioning is another key cybersecurity tool that has been exploited by threat actors.

An ML database can swiftly pull up information from any malware script that has been detected in that past, so when tweaked or brand new malware is detected, the ML system can automatically examine and block the code because similar events have been malicious. ML techniques like this enabled security group Cylance to uncover a campaign by OceanLotus, a hacking group linked to Vietnam, as reported by ZDNet.[…]

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Around the globe, different parts of the food supply chain are contaminated on a daily bases. Biosecurity, as defined by the Food and Agriculture Organization of the United Nations is the strategic and integrated approach to manage risks in food safety, animal and plant life and health, and biosafety. It relates to policy and regulatory framework that improves food health inside different points in the global food supply chain.

China, a country that consumes more pork per capita than any other country after Vietnam, is contending with a deadly case of African Swine Fever . There were 129 cases of outbreak reported this year. The Outbreak has hit almost every province and all autonomous regions of China. 40 million pigs or (10% of production) were wiped out. It’s estimated that China’s import of pork from the U.S. alone could rise 41% this year.

With retaliatory tariffs of 50% of all U.S. pork imports, China is now counting on ducks and chickens to save the day. Chinese pork farmers are switching to raising chickens and ducks to replenish the food gap left by pork. Raising more chickens and ducks will mean more poultry feed. Increased consumption of poultry feed will mean more soybean imports from Brazil.

Globalization of Food Supply Chain

China’s struggles to provide enough pork for it’s country’s consumptions is just another example of how interconnected the global food supply chain is. Trade tensions and geopolitical tensions are all feeding into the outlook for global trade. In the years to come, even if the U.S. and China can come to a truce about their differences, there will likely be other factors that will influence the functioning of the global food supply chain.

The reality of the global food supply chain is that countries with large populations such as China and India will experience an increased shortage of food supply if their own food supply chains are not managed properly.

The nature of farming demands fertile soil. As soil is over-planted in countries with large populations, these countries will seek fertile soil in other countries.

Below is a graph that shows: nearly 20% of all food produced around the world crosses international borders. This means that 1 in 7 people worldwide depends on global trade for their basic food needs.

Artificial Intelligence will Help to Manage Biosecurity in the Global Food Supply Chain

With the increasing use of technology around the world, Artificial Intelligence has found a new home in managing biosecurity in the global food supply chain.

Managing the spread of diseases, pest and chemicals are similar to managing contamination in a factory. Cutting out unwanted human interventions, keeping the environment clean and setting up preventative measures by monitoring are just several ways that crops and animals can be secured from contamination.

Just like in manufacturing plants, AI Robots and AI Systems are changing the face of farming and livestock management.[…]

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The regional and global segmentation of the global Cognitive Computing market segments the market into major regions covering United States, North America, Canada, Asia-Pacific, China, India, Japan, South Korea, Australia, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Italy, Europe, Germany, France, UK, Russia, Rest of Europe, Central & South America, Brazil, Rest of South America, Middle East & Africa, Egypt, Turkey, South Africa, Rest of Middle East & Africa and rest of the world. According to the research report, these are the leading market and estimated to grow during the forecast period. Holding the immense share in the global market, it is growing with good speed. Our Research will focus on sector analysis, market trends and competitive landscape and drivers as well as conducts the detailed market research and develop this single-volume resource document.

Leading Players Of Cognitive Computing Market Are:

Google LLC, IBM corporation, Microsoft corporation, Oracle corporation, SAP Inc, Statistical Analysis System (SAS) Software Ltd, Saffron Technology Inc, Vicarious FPC Inc, Palantir Technologies Inc, Enterra Solutions LLC

Global Cognitive Computing Market Segmentation:

Global market segmentation, by technology:

Natural Language Processing
Machine Learning
Automated Reasoning Information
Retrieval Global market segmentation, by deployment:

On-premises
Cloud Global market segmentation, by application:

Robotics
Cyber Security
Social Media Monitoring
Self-driving cars
Gaming
Video Surveillance
eLearning
Global market segmentation, by end-use:

Banking, Financial Services and Insurance (BFSI)
Media & Communication Services
Manufacturing and Natural Resources
Aerospace and Defence
Transportation and Logistics
Government and Utilities
Others (Food & Beverages, Oil & Gas, Real Estate)

Report Coverage:

-Worldwide and Top 20 Countries Market Size of Cognitive Computing , and development forecast 2018-2027.

-Main manufacturers/suppliers of Cognitive Computing global and market share by regions, with company and product introduction, position in the Cognitive Computing market.

-Cost and profit status of Cognitive Computing, and marketing status.

-Market growth, challenges, and drivers.

-Market current status and development trend of Cognitive Computing by types and applications.

Some of the key pointers addressed in the report have been enlisted below:

-An elucidation of pivotal pointers such as the market share amassed by every region sales and the volume accumulated over the projected time frame.

-Further details about the manufacturer base, such as generic overview of the company, an overview of the firm in terms of the position it currently commands in the Cognitive Computing market, and its expanse in the industry.

-An exhaustive summary of the products developed by the manufacturers in question and a concise summary of the product portfolio with respect to parameters such as the product applications and sales volume every product type accounts for.

-Pivotal pointers such as Cognitive Computing market competition trends as well as the market concentration rate – basically inclusive of the specifics about some of the top players of the Cognitive Computing market.[…]

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