Investing in AI

Chrysalis invests in companies well-positioned to leverage AI growth trends. This includes Klarna, with its ChatGPT plug-in and AI image search tool, Deep Instinct using deep learning for cybersecurity, Featurespace with machine learning technologies, and wefox developing AI to enhance insurance broker productivity.

Workday is focused on developing and deploying AI and machine learning capabilities across its product portfolio to drive greater efficiencies, insights, and value for customers. This includes educating customers on how to best leverage these advanced technologies as part of their digital transformation efforts.

The company is investing in the latest technologies, such as artificial intelligence and machine learning, to transform business operations and management over the coming years.

AppFolio has been investing in AI and machine learning for over 5 years, developing products like smart maintenance, AI leasing assistant Lisa, bank feed, and smart bill entry. The company has embedded AI across its product portfolio, with 85% of customers using AppFolio's AI tools.

Pinterest is making significant investments in advancing their AI and machine learning capabilities, including deploying larger AI models, leveraging GPU-based serving, and developing new features and products using AI technologies. These efforts are aimed at improving personalization, relevance, and monetization across the platform.

Maersk is investing in established AI initiatives such as Digital Twin simulations and demand forecasts as well as early-stage pilots with generative AI based tools to automate otherwise manual, repetitive tasks and boost employee productivity.

The use of AI and ML is being explored to enhance user experiences, improve demand forecasting, dynamic pricing strategies, and create smarter, data-driven business operations.

Leverage the company's expertise in high performance computing and AI infrastructure to capture a larger share of the growing AI market. Invest in AI platform software and expand the AI lifecycle offerings from training to tuning to inferencing. Expect the overall AI TAM to grow to $150 billion by 2026, a 2.4x increase.

AI and machine learning initiatives are being adopted to streamline processes, personalize customer experiences, and enhance decision-making capabilities. The company is investing in these technologies to stay competitive.

Investing in and deploying innovative AI-based solutions is critical to maintaining competitiveness. However, rapid technological changes and the need for significant R&D investment pose operational risks.

LPL Financial is investing in and using AI and machine learning systems to enhance their technology platform and services. This includes using AI for predictable and renewable operating processes, data analytics, and risk management. LPL is also exploring opportunities to use generative AI to further improve the advisor and investor experience.

Leveraged across the value chain, from design and engineering to in-store and online experience, to enhance internal processes and consumer-facing solutions, such as sophisticated demand prediction, product innovation, and personalized shopping experiences.

Pearson is investing in AI to offer reliable, accurate, and trustworthy products. They are working on adding generative AI to their products across the company to enhance teaching and learning experiences, and to create opportunities to maximize the potential of their trusted content and data sets.

Spotify is heavily investing in AI and machine learning technologies to improve personalization, content discovery, and operational efficiency. This includes initiatives like AI DJ, AI voice translation, and using AI to augment creator tools and processes.

Enhancements in alternative payment methods and open banking were prioritized in North America. Adyen introduced products powered by machine learning, like Data-Only, which taps into global insights to improve authorization rates and reduce costs.

There's ongoing investment in artificial intelligence and machine learning to advance medical device capabilities and diagnostics.

Apple is heavily investing in AI and ML technologies, integrating them across its product ecosystem to enable new features and capabilities like crash detection, fall detection, ECG, and personal voice assistants. The company views AI/ML as fundamental to virtually every product it builds.

DraftKings is investing in and exploring the use of AI and machine learning technologies to improve various aspects of its business, including product personalization, risk management, marketing optimization, and responsible gaming initiatives. The company sees AI as a transformational technology that can drive efficiency and enhance the customer experience.

Funding Circle Holdings actively utilizes AI and machine learning in their modeling processes to improve risk management and foster product innovation. This approach has led to more accurate models and an enhancement in risk discrimination, which not only contributes to their strategic advantage but also suggests ongoing investment in AI as a driver of future digital transformation.

Rightmove already implements machine learning and forms of AI across several business functions. They are interested in generating value through AI as an enabler and anticipate AI to present considerable opportunities for scaled tech and data companies like themselves.

Investing in new technologies such as cloud gaming, artificial intelligence, and machine learning to stay ahead in the competitive landscape and to enhance gaming experiences for players.

Clover is making investments in expanding its artificial intelligence and machine learning capabilities in its products, services, and tools, including ongoing deployment and improvement of existing machine learning and AI technologies, as well as developing new product features using AI technologies.

Expedia is heavily investing in AI and ML to personalize the customer experience, optimize marketing and advertising, and improve customer service. The company is using these technologies across its products and operations.

AI and machine learning are core competences within Man Group, pervading the investment process. The company has a steady adoption of machine learning, in partnership with Oxford University, and employs AI in data management, trade order routing, and natural language processing for sentiment analysis.

SoftBank sees the AI revolution as a key strategic priority and is focused on investing in and developing AI-centric technologies and capabilities, including in areas like AI chips, AI data centers, and AI-powered robotics.

The emerging field of AI may have far-reaching implications on the value and operations of invested companies. While Third Point LLC spends considerable effort in understanding AI integrations, there is risk involved in either underestimating or failing to adequately capitalize on such tech advancements in their investments.

With the industry's largest data set, Burford is increasingly employing machine learning and other AI-style tools to introduce quantitative rigor to their investment process, complementing their legal and qualitative analysis, representing a technological evolution in their strategic approach.

GE's use of emerging and evolving technologies such as artificial intelligence and machine learning, which it expects to increase over time, presents business, reputational, legal and compliance risks related to data sourcing, design flaws, integration issues, security threats, privacy protections and the ability to develop sufficient protection measures.

NICE is deeply investing in AI and machine learning capabilities to power its solutions across all three markets. This includes leveraging AI for automation, decision support, personalization, and advanced analytics to drive improved outcomes for customers.

ASOS is accelerating the use of Artificial Intelligence and Machine Learning across the business, with the potential risks and opportunities being monitored. This includes the use of off-the-shelf AI and ML tools, which could have implications for intellectual property rights, cyber security, and data privacy.

General Dynamics is investing in AI to support its customers, particularly at GDIT and Mission Systems. The company is working closely with customers to tailor AI solutions and drive increased revenue, as the government becomes more comfortable with the technology.

The company is focusing on harnessing AI and other technologies as key elements of its strategy. This involves investing in and developing a leading AI product suite and technology solutions to better serve customers and create an economic and technology moat that distinguishes it from competitors.

The company explores generative AI for various use cases across the business, including productivity aids, document search improvement, and auto-generating charts with descriptions, aligning new technology with Man Group's investment philosophies.

Invest in technology and innovation, including AI, to provide a world-class digital experience for clients and candidates that is seamlessly connected to specialized professional recruiters, and leverage proprietary data assets to enhance AI tools used by recruiters.

St James Place is exploring opportunities related to machine learning and other technology solutions as part of their technology strategy. They recognize the increasing importance of these technologies in both investment management and advice, and are working to build capabilities in this area.

Workday plans to further embed AI and machine learning capabilities across its product portfolio to enhance functionality, user experience, and business insights for customers. This includes developing new AI-powered features as well as leveraging AI to drive operational efficiencies within Workday. Metrics include AI-related product enhancements, customer adoption of AI-powered solutions, and improvements in internal processes and productivity.

Activision Blizzard is investing in AI and machine learning technologies to help accelerate the production and testing of live operations and offer more relevant game content to players. This includes the acquisition of Peltarion, an AI technology company, to support these efforts.

Leveraging advanced analytics and artificial intelligence is a key initiative for Alpha Financial Markets Consulting. The objective is to provide deeper insights and more sophisticated solutions to their clients through the use of cutting-edge technology in data analysis and machine learning.

Amgen is using artificial intelligence and machine learning across its R&D spectrum, including in molecular engineering, clinical trials, and other areas, to accelerate drug discovery and development.

Booking Holdings has been investing in AI and machine learning for over a decade to optimize interactions with customers and partners. The company is exploring ways to integrate generative AI technology into its offerings to deliver more personalized and responsive travel experiences.

Continuing its commitment to technological evolution, Brenntag is investing in data-driven business models and artificial intelligence-supported decision algorithms to embed advanced technology in daily business operations.

Carvana is leveraging its large-scale data collection, vertical integration, and technology-centric approach to invest in and benefit from advancements in artificial intelligence and machine learning, such as improving customer service, automating document processing, and enhancing pricing and risk assessment models.

Hays is investing in its own technology stack, working with best-in-class partners, and bringing in the best of AI and automation into its processes worldwide. This is expected to drive significant medium-term benefits and enhance operational delivery.

Paysafe has been actively developing and deploying over 50 active machine learning modules to enhance customer experience, manage risk, support sales growth, and drive company-wide efficiencies. This includes using AI-powered virtual assistants and advanced data analytics.

Rightmove recognizes AI as a major opportunity, having previously used machine learning and automation across business functions. They plan to leverage their technology to drive innovation and maintain a competitive edge.

SoftBank plans to invest in companies and technologies that are driving the AI revolution, with a focus on areas like autonomous driving, healthcare, logistics, and manufacturing. The goal is to position SoftBank as the most AI-empowered company in the world and generate new services and products. Key metrics include the number and value of AI-related investments, revenue growth of AI-focused portfolio companies, and the adoption of AI technologies across SoftBank's operations.

Talkspace plans to make investments in artificial intelligence (AI) to enhance its clinical efficiency and operational capabilities. The company aims to leverage its unique data to identify patterns and improve the delivery of behavioral health services through the use of AI and machine learning.

Third Point is strategically investing in equities that are likely to benefit from AI-driven growth, anticipating that AI will transition from consumer-focused applications to enterprise solutions that can be monetized.

American Express has been using AI and machine learning for over a decade to power growth and improve servicing capabilities, including fraud detection, credit risk modeling, merchant offers, and virtual assistants.

Capital One leverages advanced analytics, AI, and machine learning to improve underwriting, marketing, risk management, and other business processes across its operations.

Clarivate is making significant investments to accelerate product innovation and development, including a 20% increase in annual capital expenditures to drive innovation across all segments. This includes integrating AI and generative AI capabilities into its products and solutions to enhance search, analytics, and workflow capabilities for customers.

Recent developments in artificial intelligence (AI) technologies such as Generative AI and Large Language Models are an area of significant potential for Deutsche Bank's operational efficiency and revenue growth. The bank is experimenting with such technologies in a prudent and responsible way to ensure it understands and mitigates risks before deployment.

GoDaddy is increasingly using new and evolving technologies, such as AI and machine learning, to develop new tools and products, and additional features in its existing products. This includes ongoing deployment and improvement of existing AI, and the development of new product technologies, such as generative AI.

The company purposely engages with fund managers who have been early leaders in AI and cybersecurity. Integrating AI into various segments of their portfolio is seen as a key initiative, with consequential improvements in efficiency and product enhancement across non-venture segments as well.

Lyft uses AI and machine learning in its platform, offerings, and services, which presents risks related to algorithm development, data quality, and the evolving regulatory environment around AI. They are making investments to expand their AI capabilities and address these risks.

Schneider Electric is investing significantly in software and AI capabilities, including recruiting hundreds of AI engineers, to develop advanced analytics, predictive maintenance, and optimization solutions that can be embedded in its products and offerings to drive efficiency and sustainability for customers.

Twilio is continuing to invest in AI and ML capabilities, including both their CustomerAI capabilities and also internal applications of AI and ML to automate processes and help their business run more efficiently. They see AI as a key way to increase the power and reach of their platform and make customer interactions more personalized and intelligent.

Akumin has made a strategic investment in an artificial intelligence business that develops AI-aided software programs for use in medical businesses, including Akumin's outpatient imaging services.

Investments in artificial intelligence include around 150 Apps and 300 specialists projected for 2025. The AI initiative is slated to provide an additional contribution of approximately €100m to 2025 gross income, excluding potential benefits from generative AI solutions.

Keywords Studios is increasing its focus on technology by scaling its artificial intelligence (AI) product portfolio. The company is driving automation across its service lines and has launched the 'Accelerating Accessibility' initiative through its innovation team, harnessing work from five studios. This strategic focus on AI and automation is aimed at supporting their clients in creating bigger and better games by navigating the evolving technological landscape.

Paycom is exploring the use of generative AI and machine learning in its products to provide data-driven insights and automation, but is also aware of the potential risks and regulatory challenges associated with these emerging technologies.

WPP plans to invest around £250 million annually in proprietary technology and AI to support its data and AI strategy. This includes developing its AI-powered platform WPP Open and enhancing its industry-leading capabilities in areas like Choreograph.

The company is increasing its investment in product innovation, which includes exploring opportunities with generative AI. The goal is to leverage cutting-edge technology to support continued growth and to maintain a competitive edge in the market.

Aflac is investing in the development and use of new technologies, including artificial intelligence, to enhance existing products and develop new innovative offerings. However, this increased use of AI also introduces additional cybersecurity risks that need to be managed.

Ahold Delhaize is investing in data and AI capabilities to enable rapid integration of new technologies, improve decision making, and enhance customer and associate experiences. This includes developing proprietary machine learning platforms, leveraging reinforcement learning, and exploring generative AI applications.

Artificial intelligence is being embedded in a broad range of new and updated software applications, including Microsoft Windows 11 and M365 Copilot. Atea expects this to drive customer interest in purchasing new software upgrades and releases, which will in turn spur additional spending on IT infrastructure and support services.

Eventbrite is investing in machine learning approaches to search and discovery, fraud protection, and generative AI to reduce creator effort in the event creation process. They have also deployed AI-powered trending tags and editorial event collections to enhance the consumer experience.

InPost invests in data technology and artificial intelligence to drive its operations while maintaining a focus on sustainability, a core aspect of its APM delivery model.

NASDAQ is making significant investments in artificial intelligence (AI), including generative AI, to develop new products and features, enhance internal operations, and drive innovation across its solutions.

Google, one of Pershing Square's investments, showcases its deep commitment to artificial intelligence through strategic acquisitions like DeepMind, development of proprietary AI TPU chips, and introducing state-of-the-art generative AI into products, search, and ads, demonstrating leadership in the AI domain.

S4Capital is focused on building out its industry-leading vision and capabilities for AI and machine learning, which it sees as a key driver of disruption and opportunity for its clients. The company has launched new AI-powered products and services and is seeing strong initial traction and revenue from these offerings.

Saab is accelerating the development and implementation of AI and machine learning capabilities into its portfolio to improve data analytics in sensor- and command and control systems. The company is also implementing generative AI tools to speed up product development processes.

Tecnotree is investing in AI/ML, cloud, 5G, and IoT capabilities to enhance its digital stack and enable its customers to become digital service providers. The company aims to integrate these technologies across its offerings, including the Tecnotree Moments platform, to drive operational efficiency, personalized customer experiences, and new revenue streams.

Telenor has implemented more than 250 AI use cases over the years and aims to take a leadership position in this new technology field. It sees a large potential for new products and services as well as significant productivity improvements across the business.

Trainline is expanding data capabilities to deploy machine learning models and improve the product offering for customers. Future AI technologies, including Chat GPT-like models, are anticipated to enhance customer and internal organizational interaction.

Leveraging big data analytics and artificial intelligence to gain insights, drive business decisions, and create competitive advantages in product offerings and market strategy.

United is investing in the development, testing and maintenance of its AI platform and services to implement AI in a compliant and ethical manner and minimize any adverse impact on the business.

Admiral has continued to develop and implement machine learning and AI models across its businesses, including in its UK Van insurance, to enhance risk selection and create an optimized flow of value to customers.

Atlas Copco is exploring the use of AI and machine learning technologies to enhance various aspects of its business, such as improving lead generation, optimizing software programming, and advancing its vacuum and abatement solutions.

Danske Bank plans to invest in data and AI capabilities to drive better advice for customers, including providing targeted data-driven insights to advisors and customers, enhancing analytics-driven customer engagement, and leveraging cloud-based data platforms and AI capabilities from cloud at providers.

Iliad has made significant investments in AI, including the acquisition of an NVIDIA DGX SuperPOD via its subsidiary Scaleway. This represents increased computing power for customers and steps towards exceptional AI capabilities in Europe.

Artificial intelligence drives significant investments in semiconductors with Lam broadening its product range to meet the demands of advanced AI servers which require more leading-edge logic, memory, and storage.

Legal & General is investing in data and AI capabilities to enhance business efficiency, using robotics and machine learning. The company has also launched a central AI Accelerator program to shape and incubate its generative AI approaches.

The company invests in artificial intelligence and data processing tools, aiming to refine areas such as tariffs and improve its responsiveness to inflationary pressures.

Nokia is applying AI and machine learning across many areas of the network and operations, including energy efficiency, customer service platforms, network performance management, and more. This is a key transformational technology that will have a pervasive impact.

Investing in core technology development is crucial for Seeing Machines to maintain its competitive edge. They are rapidly expanding features and strengthening their intellectual property to support scalability and adaptability across OEM and Aftermarket industries.

Starbucks is leveraging its DeepBrew AI and machine learning platform to enable faster deployment of new models, personalize the customer experience, and optimize store operations and efficiency.

Twilio is continuing to invest in AI and ML capabilities, including its CustomerAI capabilities and internal applications of AI and ML to automate processes and help the business run more efficiently.

The company showcases a strong inclination toward leveraging advanced technology including AI, intending to integrate it into their product offerings. This is evidenced by the fact that around 50% of their digital revenues come from products leveraging AI, with plans to utilize generative AI to add value for customers.

AGA has placed a significant focus on artificial intelligence for business transformation. A cross-disciplinary team is evaluating the technology's implications and opportunities concerning investment strategies, portfolio company value creation, and internal processes.

Burford has invested in data science for years, indicating a long-term commitment to integrating data-driven decision-making into their investment process. They recognize that most tasks performed by lawyers are language tasks, which can be enhanced with AI advancements, suggesting ongoing investments in this area to improve business efficiency and growth opportunities.

The company is taking a measured approach towards AI and digital transformation, seeking bespoke client solutions while expecting AI to enhance productivity and solution quality, particularly for complex tasks requiring a human touch. They are collaborating with hyper-scale partners such as Microsoft, AWS, Salesforce, and ServiceNow to build cost-effective solutions.

Grab is an early adopter of data science and AI in the region, using tools like heat maps and large language models to boost productivity, reduce costs, and enhance user experiences across its platform. The company plans to increasingly leverage generative AI to drive greater cost efficiencies and deliver better user experiences.

Marriott is deeply investing in its data operations and activation capabilities to take advantage of marketing, merchandising and personalization opportunities, including leveraging large language models and AI/ML.

OCI shows a strong focus on the technology sector by investing in companies involved in digital markets, such as TMT, webhosting, and cloud-based SaaS solutions. OCI views artificial intelligence (AI), including generative AI, as an opportunity for portfolio companies and a source for new investments. Recently, OCI partnered with M12, Microsoft's venture capital fund, launching Oakley Touring Venture Fund to invest in early-stage AI-powered businesses.

Publicis plans to invest 300 million euros over the next three years to become an AI-powered Intelligent System company. In 2024, the company anticipates investing 100 million euros, with 50% dedicated to upskilling, training, and recruiting people, and 50% to technology, including licenses, IT software, and cloud infrastructure.

Investing in technology to innovate the online shopping experience, including AI to enhance personalization, mobile platforms for on-the-go shopping, and robust IT infrastructures for seamless operations.

Anywhere Real Estate's initiatives to utilize innovative technologies, processes and techniques, including AI, in internal business processes and in its products and services may result in new or enhanced governmental or regulatory scrutiny, litigation, ethical concerns, or other complications, which could adversely affect its business and operating results.

Burford recognizes that the advent of large language models, which have become commercially viable, could transform legal processes where language tasks are predominant. The company has already positioned itself at the forefront by using and investing in data science and AI technologies, thereby equipping itself to seek further disruptive opportunities.

Chubb has been experimenting with AI and machine learning, including applications such as chatbots for text analytics and deep thinking, across different segments of its business. This exploration covers various operational areas like underwriting, claims, marketing, and customer service to improve efficiency and decision-making.