Medical

Distilling the latest research.

Every day, hundreds of new research papers and trial results are released. It would be impossible for any one person, or even a small team, to keep up with it all, especially when research is published in dozens of different languages. That’s why Sorcero, an AI firm focused on medical intelligence, has built a system to ingest the torrent of data being published each day. Teams inside pharmaceutical companies can then ask for updates on topics that are relevant to the disease, drug, or procedure they’re focused on. Their GenAI technology can produce a synopsis, translate across languages, and help distill complex medical terminology into something that’s easier to understand.

Speeding up drug breakthroughs.

Pfizer is making clinical trials faster and smarter with AI-powered optimization. Machine learning tools analyze vast clinical datasets to predict outcomes and risks and automate drug trial designs. This AI “medicine” is fast acting: It's led to shorter research timelines and quicker delivery of breakthrough treatments to patients.

Finance

Allowing a broader group of less sophisticated investors to access, understand, and make use of market data.

Bloomberg created its own LLM, BloombergGPT, based on its extensive collection of financial data. The system has two purposes. First, it can improve on automated tasks Bloomberg is already doing in-house every day, like natural language processing, news classification, and sentiment analysis. Second, the system will allow clients to make sense of the vast amounts of data flowing through their Bloomberg Terminal, providing synopses of market moving events that separate the signal from the noise. (Source)

Smarter investment portfolios with AI.

BlackRock is optimizing investments with its AI-powered platform Aladdin. It isn’t magic, but it’s like a genie in a bot(tle). Aladdin uses machine learning to analyze big datasets and help fund managers discover investment opportunities and manage risk. By simulating real-world market conditions, Aladdin delivers predictive insights to build resilient approaches to portfolio management. Aladdin uses scalable AI frameworks, robust APIs, and cloud integration to deliver financial market insights.

Legal

Providing advice and crafting early drafts for lawyers.

As the startup Harvey AI explains: “Legal work is the ultimate text-in, text-out business—a bull’s-eye for language models.” Their GenAI assistant tackles tasks like legal research and due diligence that require time-consuming labor across large amounts of text. With the AI searching through legal libraries and case files, the law firm has more time to focus on client relationships and strategic work. In February of 2023, Allen & Overy became the first announced enterprise customer, and the following month PwC announced it was coming on board.

AI as a trusted legal eagle.

Alexi is another company lightening the load for lawyers with an AI assistant. Built with advanced NLP and machine learning, Alexis automates routine legal tasks like contract reviews and document analysis. This helps legal pros to focus on strategic, high-value work. Developers behind Alexi integrated compliance checks and oversight mechanisms to improve accuracy and meet legal standards. Hear from Alexi CEO Mark Doble on our podcast about how they reduced inaccuracies.

Educational

Using the Socratic method to help students learn without giving away the answers.

Khan Academy was one of the first institutions to announce it would work with Open AI’s GPT-4. The benefits of a large language model, according to Khan’s founder, is that it can adapt to the grade level and language ability of each student: “I think we're at the cusp of using AI for probably the biggest positive transformation that education has ever seen," he said. "The way we're going to do that is by giving every student on the planet an artificially intelligent, but amazing, personal tutor,” Khan said in a TED Talk about his company’s plans for utilizing GenAI. And don’t worry, the students won’t simply be using the AI to do their homework. It can be given system prompts to follow the Socratic method—meaning it will try to help students find their way to the correct answer, rather than simply providing them with the solution.

Boosting learner motivation with a personal coach.

Online learning is harder without the motivation of a class tutor. Enter Coursera Coach, a real-time AI assistant to help learners study. Coach answers questions, simplifies complex topics, and provides tailored advice for each learner. The tool uses large language models (LLMs) and natural language processing (NLP) for a more personalized learning experience that has boosted course completion rates.

Manufacturing

AI drives smarter motor maintenance.

General Motors is improving reliability with AI-driven predictive maintenance. Sensors across GM’s assembly lines capture real-time performance data to spot inefficiencies and predict equipment failures before they happen. Machine learning models analyze this data to recommend proactive fixes, using cloud-based AI frameworks to cut unplanned downtime by 35% by using cloud-based AI frameworks.

Retail

Making AI supply chain management fashionable.

Global fashion retailer Zara uses AI-powered predictive analytics to get the hottest fashion pieces in store without overloading warehouses. Machine learning models process vast datasets and analyze real-time sales data to accurately forecast demand. This reduces overstock and waste—and makes sure that funky Christmas sweater trending on Instagram is in stock for the holidays. On the ground, robots handle sorting, packing, and restocking.