Enhancing Career Readiness for Everyone
CareerVillage
‘Coach’ by CareerVillage is an AI-powered platform that acts as a career coach by offering personalized career guidance, support, and skill development. It is specifically designed to enable the upward economic mobility of low-income communities and democratize access to career information and advice among underrepresented populations. Coach is a tool for students, job seekers, and people who are making career changes. Using AI, Coach helps individuals navigate their career readiness journey, explore thousands of different career paths, identify and develop needed skills to pursue job opportunities, make informed career decisions, and prepare for and apply for new jobs.
Helping Data Scientists Attain Insights Faster
AstraZeneca and Amazon
Much of the health and life sciences industry faces an ever-increasing amount of commercial data that it struggles to efficiently analyze. AstraZeneca, the science-led biopharmaceutical company, is no different. In managing a vast and ever-increasing amount of data, the company realized it was missing an opportunity to gain valuable business insights about its treatments.
AstraZeneca worked with Amazon Web Services (AWS) to build a solution using Amazon Sagemaker, which helps data scientists and developers prepare, build, train, and deploy machine learning models quickly. Using AI and machine learning, AstraZeneca can now analyze commercial data at scale to gain insights and automate manual processes, saving time and effort for its data scientists. Before deploying ML models, it took AstraZeneca over a month of intensive effort to establish an environment for data scientists that would give them access to the necessary data. These AI-driven improvements in research and development are now helping AstraZeneca accelerate the commercialization of new therapeutics, ultimately speeding up the delivery of life-changing medicines to patients.
Boosting Worker Productivity
Zoom
Zoom is using AI to drive collaboration and unlock people’s full potential. Zoom IQ is a generative AI assistant that businesses of all sizes are using across teams to further enhance productivity, balance workday priorities, and collaborate more effectively. Zoom IQ allows users to quickly draft email content, summarize Team Chat threads, organize ideas, draft whiteboard content, and more, which frees up more time for creative work and other collaborations.
Empowering Small Businesses
Intuit
Intuit is putting AI in the hands of small businesses to help level the playing field, accelerate growth, and empower entrepreneurs to focus more on the core aspects of their businesses that matter to them. Through Intuit Assist, Intuit’s generative AI-powered assistant, small businesses can get personalized, intelligent recommendations to help them make smart financial decisions with less work and complete confidence, enabling them to put more money in their pockets.
Intuit Assist can streamline the accounting process and provide personalized insights and recommendations for small businesses based on cash flow. This can help a small business determine whether they can weather a drop in business or buy a new piece of equipment that will help take them to the next level. Intuit Assist can also create effective marketing content that small businesses can use to enhance their marketing practices by using generative AI to create marketing email content and materials based on industry, intent, and brand voice. In each instance, Intuit Assist provides entrepreneurs and small businesses with the tools they need to compete and grow.
Humanizing Customer Service
T-Mobile and Amazon
T-Mobile uses the predictive capabilities of AI to provide advanced insights that its customer service agents can use to enrich customer experiences and create stronger human-to-human connections. T-Mobile developed AI models that extract meaning from vast amounts of textual data to predict what information would best serve a specific customer’s needs and then provide human agents with that contextual information in real time. This helps guarantee that each customer’s issues are quickly and accurately resolved.
T-Mobile’s data includes hundreds of thousands of incoming customer requests a day and knowledge repositories where potential answers to customer queries can be found. To train its predictive AI models, T-Mobile needed to add labels to this massive amount of data. T-Mobile turned to Amazon SageMaker Ground Truth to speed up and scale the labeling of training data, which is essential for AI and ML models to produce predictions with high accuracy. Instead of doing this manually, Ground Truth learns from these annotations in real-time and automatically applies labels to much of the remaining dataset. Using Ground Truth not only streamlined that process but freed T-Mobile’s data scientists to focus on more specialized tasks, such as model creation, analysis, validation, and deployment.
Helping Employees Flag Defective Products
Amazon
As products go through Amazon fulfillment center operations, up to five different employees use a six-point visual check to assess whether products are damaged. This is a time-consuming task that is difficult for employees to keep top of mind because damaged items in Amazon’s inventory are rarely found.
To solve this problem and allow employees to focus on other important tasks, scientists at Amazon Fulfillment Technologies have developed advanced AI capabilities that can spot irregularities and flag defective products before they ship. To train the damage-detecting AI model, researchers taught it how to distinguish between damaged and undamaged products by scanning every item that passed through a major Amazon warehouse and supplying the images to the AI model so it could analyze the scans to discover hidden patterns and continuously improve the system’s ability to detect damage. This gives the AI model the capability to make the types of subjective decisions about damage that humans make all the time.
Once deployed, the AI damage detector will help reduce customer costs and delivery times and help free up operations employees to stay focused on other core tasks and activities.
Improving Customer Experience
DoorDash
DoorDash’s 2023 Restaurant Ordering Trends Report revealed that one in five customers prefer to order takeout via phone, but 50% of customer calls were left unanswered. In response, DoorDash introduced AI-powered voice ordering technology that allows restaurants to answer every customer call they receive, helping to meet demand, improve customer experiences, and increase restaurant sales. The new system couples AI with live agents to ensure customer calls are answered with little to no wait, enabling operators to capture the unmet customer demand. During peak times at restaurants, AI answers calls and provides customers with a personalized voice ordering experience in multiple languages while allowing employees to focus on in-store customers.