Cisco, Google, Microsoft, and IBM lead a consortium to tackle AI-related job loss. Meanwhile 200 artists call for an AI ban in music creation.
AI healthcare milestone: The FDA’s greenlight for AI sepsis tech developed by Prenosis could help make hospitals and clinicians more comfortable with AI.
Walmart Connect is the latest ad exchange betting on AI creative: The company is launching a machine-learning tool to entice small brands and non-endemic advertisers.
Brands expect agencies to understand AI while providing unique value. That means agencies need to walk the line between highlighting their AI innovations and emphasizing their human creative work. Since different agencies provide different value, some, like VML, are showing up to pitch meetings armed with an AI toolbox. Others, like Mischief USA, are letting AI fade into the background as they show off unique outputs.
Opera One is setting a stage for genAI’s shift to desktops and smartphones, challenging giants with a diverse, open-source approach.
Tech titans spar over top AI talent: Google gains a key expert, and three at Meta walk away. Prized employees face a tough decision between the startup and Big Tech worlds.
The company lays off more workers across various units, refocusing on cloud, AI, and online retail to ensure continued market dominance.
Apple’s latest AI outperforms OpenAI’s GPT-4 in contextual understanding: Its ReALM AI model could redefine user experiences across its fast-growing Services segment. But antitrust pressure poses a barrier.
Its latest AI model clones voices from short clips for varied applications. OpenAI is taking a cautious approach and leaning on partners to ensure ethical use.
Perplexity to integrate ads in its AI search: The startup is aiming to draw bigger advertisers and compete with giants like Google.
New power for digital stethoscope: An algorithm to help spot heart failure just won the FDA’s ok, and it’s backed by clinical evidence.
Microsoft to spend over $100 billion on Stargate: It’s partnering with OpenAI on a data center that could provide enough power to build an AGI. But the project faces real-world barriers.
Marketers currently use generative AI the most for data analysis (39%) and market research (35%).
Google might have solved generative AI’s biggest problem: Its “superhuman” AI fact-checker could make the technology more trustworthy and more appealing for enterprise use cases.
Consumers and marketers embrace genAI: Study finds 52% of Americans using genAI expect personalized services in shopping and travel. Marketers see potential in transforming customer experiences.
Amazon invests billions in Anthropic, maker of the best-performing chatbot: $4 billion in funding illustrates fierce competition among Big Tech to partner with startups that have an innovative edge.
Executives get cold feet over AI adoption: Soaring adoption rates are being pulled down to earth over cybersecurity and data protection concerns. It could curtail the AI sector’s profit outlook.
Tim Cook promises big AI advancements for existing product lines. Developers might be forced to choose between building apps for on-device AI or AR/VR Vision Pro.
Google, Samsung, and others form coalition to take on Nvidia: Commercializing generative AI is expensive in part due to Nvidia. Democratization could lower costs but may take a while.
X’s US app usage dropped 23% since Musk’s takeover, outpacing the decline of rivals. Can bundling genAI result in user recovery?