Infographic 10 Game-Changing Use Cases for Data and AI
By Insight Editor / 5 Aug 2022 / Topics: Analytics Data and AI
By Insight Editor / 5 Aug 2022 / Topics: Analytics Data and AI
So you’ve heard of Artificial Intelligence (AI) — but do you know what it can do for your business? In this infographic, we break down how organizations across industries are leveraging AI to solve their toughest challenges, including:
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Five major industries are adopting Artificial Intelligence (AI) to solve real-world challenges — from capturing new markets to improving the patient experience.
Here’s a look at what’s possible.
Next-gen retailers are using AI to analyze historical data, predicting what products will be needed and when — month-by-month, region-by-region and even based on weather patterns.
Challenges solved:
AI solutions are offering real-time, highly accurate views of inventory levels — helping stores keep business running smoothly while allocating resources more strategically.
Challenges solved:
Computer vision is automating routine inspections and pinpointing defects immediately, leading to new levels of visibility and productivity.
Challenges solved:
Digital twins — virtual representations that act as digital counterparts of a physical object or process — are drastically improving errors with real-time data.
Challenges solved:
For an automobile manufacturer, carts were loading parts inefficiently and getting into traffic jams in high-use areas. We built a digital twin of the factory floor, created an optimization algorithm for parts delivery — and saved the company $10 million in lost labor.
Unified data platforms powered by AI algorithms are helping hospitals make more timely decisions for patients, leading to more efficient, better-quality care.
Challenges solved:
Reducing or eliminating human intervention for document processing is increasing accuracy and efficiencies.
Challenges solved:
We worked with Steward Health Care to create a length-of-stay monitoring system powered by real-time business data and analytics — reducing patient length of stay by 1.5 days and saving millions of dollars per hospital per year.
Cognitive customer agents are integrating with social channels to engage potential clients — improving the customer experience by solving issues and answering questions quickly.
Challenges solved:
Seeking outside expertise in Machine Learning Ops (MLOps) is helping teams identify, build and deploy AI models — taking AI adoption to the next level at velocity.
Challenges solved:
A financial services leader worked with Insight to integrate AI into its investment and trading platform — leading to a 72% increase in new millennial account openings at launch.
Computer vision drone cameras are inspecting hundred-acre areas for dust, encroachment, and more, using models with high accuracy for a complete view.
Challenges solved:
Detection algorithms are being pushed to edge locations — helping energy companies proactively shut down faulty machines, create more efficient repair patterns and save millions in repair costs.
Challenges solved:
No matter your industry or level of AI adoption, you can turn data into impact. Insight leverages deep expertise to help you pinpoint and execute on your most strategic use cases for maximum ROI.
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