Discussions of retail media networks (RMNs) and AI are picking up momentum among execs from retailers, agencies, and digital media companies: 

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Nevertheless, AI activity from Mayo Clinic — which has a reputation for tech innovation, a frontline understanding of healthcare’s complexities, and deep pockets — can serve as a bellwether for AI traction, indicating which tools are more likely to play key roles in the hospital of the future. 

Mayo Clinic (which was ranked No. 1 in our Hospital AI Readiness Index) is also forging partnerships to provide other health systems with guidance on AI strategy and implementation — indicating that where Mayo goes, others will follow.

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What you need to know:

• Autonomous vehicle (AV) systems providers are using genAI to boost in-car voice assistant capabilities, reduce training costs, and improve safety and transparency.

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While it sold its autonomous vehicle (AV) unit (ATG) in 2020, the now-profitable company is leveraging its 2.8B quarterly trips and global reach to attract AV partnerships that could reduce costs long-term across its rideshare, delivery, and freight business lines.

For transportation and logistics executives, Uber’s recent activity signals a shift in the mobility landscape, highlighting the importance of diverse AV partnerships to hedge against tech and regulatory uncertainties while capturing early market share.

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Over the last month or so, JP Morgan has purchased 2 content/media assets. In early September 2021, it bought The Infatuation, a publisher that offers reviews and recommendations on restaurants in 50 cities across the USA and internationally. 

And later in the month, it bought Frank, an online portal with content and tools that help students research and apply for financial aid. (Note: In April 2023, Frank was accused of defrauding JPMorgan, inflating the number of Frank customers before the sale.)

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The post Stripe, HubSpot, And JP Morgan Are Buying Audiences. Why Acquiring Media Companies And Communities Is About To Explode appeared first on CB Insights Research.

What you need to know:

• Skin health is seeing rising attention, with early and mid-stage startups using telehealth business models, AI analytics, and biotech to create new solutions.
• Emerging focus areas span virtual dermatologist consultations, AI-enabled remote skin health monitoring, at-home skin analysis for care routines, new healthy aging therapies, and microbiome-balancing solutions.
• Looking ahead, watch for solutions using smartphones for at-home diagnostics and AI-enabled analytics to gain traction, driven by demand for access to professional, science-based, and personally targeted skin care.

The skin is our largest organ. Maintaining healthy skin is crucial to our overall health and wellness, particularly given that 1 in 5 Americans will develop skin cancer in their lifetime. 

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Essential resources to understand the future of automotive, supply chain, & aerospace tech:

• How AI is reshaping the auto industry — A look at 15 high-momentum technologies across the automotive value chain.

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It’s driving value in both customer-facing experiences and back-end operations. This includes tackling challenges specific to digital retail, like personalizing product merchandising and forecasting inventory needs. 

While customer service has been the dominant focus so far, more advanced use cases are on the horizon. These include multi-application orchestration through solutions like composable AI, which helps synchronize genAI tools across an organization’s e-commerce tech stack. 

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Insurance leaders are looking to emerging AI capabilities to reshape how they work. For instance, on AIG’s August 2024 earnings call, chairman and CEO Peter Zaffino highlighted an objective to use AI to “redesign and refine the end-to-end underwriting workflow.”

The industry’s opportunity in generative AI centers on increasing decision-making capabilities and operational speed, from improving quote-to-bind ratio to offering real-time guidance for employees. Two forces drive the opportunity: tech advances across the broader genAI ecosystem; and a wealth of unstructured data within the insurance industry.

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Essential resources to understand the future of financial services:

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What you need to know:

• Increasing computational demands and energy consumption of LLMs are driving the exploration of novel computing approaches like biological, neuromorphic, photonic, and quantum computing.
• Corporate VCs and big tech are getting involved, signaling the AI arms race is heating up as companies looking for next-generation computing solutions for AI workloads. 
• While still nascent, new computing approaches offer unique advantages in processing speed, energy efficiency, and potential AI capabilities.

Specialized chips called graphical processing units (GPUs) are essential for AI computing today because they can handle many small sub-tasks simultaneously. ChatGPT reportedly relies on nearly 300,000 GPUs.

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B2B payments tools reach cross-functionally across companies, making it not only more essential, but also more complex, to efficiently integrate these tools into workflows.

To help strategy teams prioritize B2B payments tech markets in their planning decisions, we plotted markets across 2 dimensions:

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What you need to know:

Startups in the space have raised just over $350M across 21 deals YTD (as of 10/7/2024). This marks a big funding increase compared to prior years and has been driven almost entirely by early-stage activity. 

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The content below was curated by our experts using CBI Instant Insights, a one-click AI analysis and summarization tool. Click on company profiles for more details and sourcing information.

NOTABLE DEALS

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The post This month in genAI: Safe Superintelligence raises $1B, xAI launches AI cluster, Apple Intelligence unveiled appeared first on CB Insights Research.

What you need to know:

• Eli Lilly is using technology to reengineer how it develops treatments, leveraging AI to speed up drug discovery.
• The company is investing in novel drug delivery methods, such as targeted delivery systems, to improve treatment efficacy and the patient experience.
• Lilly is rapidly expanding its direct-to-consumer approach through LillyDirect, partnering with telehealth providers and integrating with digital pharmacies to streamline drug distribution and improve patient access.

Eli Lilly is using technology to reengineer how it develops and delivers treatments.

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The post Analyzing Eli Lilly’s growth strategy: How the pharma giant is leveraging AI and pioneering a direct-to-patient approach appeared first on CB Insights Research.

The space is already seeing a steady stream of M&A activity, as established players seek to quickly acquire novel capabilities and fill in gaps in their AI talent.

But amid the frenzy, which specific genAI markets are most primed for exits — and what should corporate strategy and M&A teams be doing about it?

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Essential resources to understand the direction of advanced manufacturing:

• Future of the factory — We explore the evolution of the factory and the technologies propelling it forward, from generative AI-powered humanoid robots to the industrial metaverse.

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What you need to know:

• AI and open integration aren’t new, but the wealth management industry has reached a point where it can reap the benefits.

• Personalized client engagement is one of the most mature AI use cases in wealth management. Meanwhile, AI-driven investment personalization and back-office automation are still in the early stages.

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From predictive maintenance and grid optimization to smart metering and customer service chatbots, AI solutions are already helping utility companies enhance operational efficiency, improve reliability, and deliver better customer experiences.

To determine which utility companies are most prepared for the shift, CB Insights has launched the Utility AI Readiness Index.

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However, semiconductor manufacturing is immensely complex, extending across a vast value chain from the production of ultra-high-purity raw materials to chip design, assembly, and testing.

This complexity, coupled with geopolitical tensions, has made semiconductor manufacturing a focal point for national security and economic policy. Governments and industry leaders are racing to build more resilient supply chains to support critical technologies like high-performance computing and defense systems.

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What you need to know:

• Funding for AI agents has skyrocketed since 2022, driven by market leaders like Harvey and Luminance. 

• Differentiation will be important to watch — whether through added features, integration strategy, or core product. 

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Outside of costly content licensing deals, model developers and enterprises are turning to synthetic data — artificially generated datasets such as text and images — to supplement AI model training, especially in domains where data availability is limited or privacy is a concern. 

Since 2022, nearly 30 of 50 vendors identified in the synthetic training data space have raised equity funding. But overall funding has stalled as big tech eyes opportunities in the space — and as generative AI itself has upended the business models of data simulation companies founded prior to LLMs mainstream arrival. 

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What you need to know:

• While the micromobility market has been tumultuous, continued demand from consumers is incentivizing players working to figure out a profitable solution. 
• The maintenance and charging of electric batteries have been a common pain point for various business models, but new solutions are emerging. 
• B2B players are entering the market to serve last-mile logistics and sustainability goals.
  

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Micromobility is not an easy business — just look at the plight of electric scooter pioneer Bird, a former VC darling. Demand is not the issue, making money is.

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Nvidia has used its experience developing graphics processing units (GPUs) — which were originally developed for applications like gaming but turned out to be rather good at AI tasks — to become a dominant force in AI infrastructure and applications. 

But a host of established companies and startups are investing heavily to capture a share of the growing AI computing market. This includes building new types of chips specifically for training and running AI models, evolving traditional processors like CPUs and GPUs to better support AI workloads, and exploring novel information processing technologies such as quantum and neuromorphic computing. 

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What you need to know: 

• Ambient AI is reducing clinician burnout by autonomously documenting clinical interactions. Physicians are already reporting benefits such as being able to see more patients each month.
• Strategic partnerships, like that between Abridge and Kaiser Permanente, are driving large-scale adoption.
• Tech giants like Microsoft and Oracle are entering the space, making ambient AI a key part of their health IT offerings.

Ambient AI — tech that autonomously monitors and reacts to changes in an environment — could be key to addressing the widespread issue of clinician burnout, which costs the US healthcare system an estimated $4.6B annually.  

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