Regulating AI is a high priority for legislators all over the world, and the US federal government has yet to pass comprehensive legislation tackling the issue.
Microsoft ramps up AI strategy, boosting revenues across the board: Ethical challenges and cybersecurity risks loom as AI reshapes tech landscape.
Google’s and Microsoft’s Q1 reports stoke generative AI frenzy: They both have at least one key advantage over rivals like Meta and startups in the AI race.
Moderna, OpenAI make genAI pact: Pharma execs have taken a mostly cautious approach with AI. But new market pressures will drive more accelerated adoption of the tech.
iPhone sales plunge 25% in China, slipping to fifth place as local brands like Huawei dominate. AI features could fuel a rebound, but genAI iPhones are still months away
Nurses protest AI in healthcare: Concerns center on a perceived rush to implement untested, unregulated tech. This piles on nurses’ laundry list of issues with their employers—the pressure is mounting on hospitals to respond.
Snapchat has found its groove again: The company’s Q1 earnings beat expectations, with strong revenue and subscription growth.
Its investment could strengthen the device ecosystems for AI integration and its focus on talent and supplier proximity could boost the local economy
Reddit tries to boost revenues with an AI ad format: Dynamic Product Ads could help with ad relevance but could also turn off already disgruntled users.
Big Tech Q1 earnings reveal that generative AI investments are a longer-term bet as diversified companies look to cloud and services for more immediate growth.
Meta posted Q1 earnings that beat estimates on Wednesday, but its shares slumped on disappointing Q2 guidance as it outlined plans for heavy AI investments.
On today's podcast episode, we discuss how concerned we should be about AI-driven mass unemployment, how ad industry jobs will change, and the ways in which AI will affect a persons workday. "In Other News," we talk about what to make of Apple's AI strategy and the AI measurement problem. Tune in to the discussion with our analysts Jacob Bourne and Gadjo Sevilla.
Google tells employees to work faster to earn their keep: The generative AI marketplace shakeup and increasing regulation are causing stress at the company. Layoffs aren’t helping.
Phi-3 Mini, a compact AI model with 3.8 billion parameters, rivals OpenAI's GPT-3.5 and supports on-device operation, enhancing real-time analytics and privacy, making it ideal for business use
On today's podcast episode, we discuss what happens when GenAI hits the turbo button on economic growth, the next major shift AI is going to create, and the biggest concerns regarding an AI-powered injection of this magnitude. "In Other News," we talk about why Amazon is pouring more money into AI company Anthropic and what happens when ChatGPT steps into the physical world. Tune in to the discussion with our analysts Jacob Bourne and Gadjo Sevilla.
Netflix dispels rumors of reduced film output, pledges diversified 2024 content lineup: Co-CEO Sarandos outlines strategy, including AI and live events.
Sam Altman’s $7 trillion AI plan might actually happen: The massive undertaking might not be as far-fetched as some thought. Investors are showing interest, and the US government is taking note.
Meta raises AI stakes: Meta AI has a competitive advantage over ChatGPT in potential distribution and could eventually provide new surfaces to serve ads.
Meta launches its latest AI Assistant with Llama 3: It’s boldly integrating generative AI across its platforms and products but AI’s hallucinations could come back to haunt it.
It takes time to learn a new technology and sometimes, along the way, stumbles happen. As the role of AI in marketing grows, brands must be transparent about how, where, and when they are using the technology. Nearly half (49%) of CMOs in North America plan to focus more on using AI in strategy, creative, and content development for media use over the next 12 months, according to an August 2023 Dentsu survey conducted by B2B International. Here are three missteps brands have made with AI and content creation and what brands can learn from them.