AI is going to infiltrate almost every aspect of a company's workflows. As consumers, all of us will benefit from AI when we use products and services.
So now that we have covered how companies approach using AI to augment workflow processes, let’s dive into what sort of business functions you are seeing AI deployed and what is going on behind the scenes.?
1. Improving Customer Service:
- Chatbots: Many websites now employ chatbots to answer customer queries in real-time. They use natural language processing (NLP) to understand and generate human-like responses. For instance, platforms like Dialogflow or
微软
Bot Framework allow businesses to build chatbots for their sites.
- Virtual Assistants: Siri, Alexa, and
谷歌
Assistant use advanced NLP and machine learning to help users with tasks, from setting reminders to answering questions.
2. Personalized Marketing:
- Recommendation Engines: Companies like
Netflix
and
亚马逊
use machine learning to analyse user behaviour and preferences, providing personalised recommendations. This helps enhance user experience and increases sales.
- Ad Targeting: Platforms like
Meta
use AI to show users ads they're more likely to be interested in, based on their online behaviour, preferences, and interactions.
3. Decision Making:
- Predictive Analytics: Tools such as
IBM
's Watson can analyse large datasets to predict future trends or outcomes. For example, credit card companies use predictive analytics to detect fraudulent activities.
- Business Intelligence Platforms: Tools like
Tableau
and
Power BI
employ AI to transform raw data into actionable insights, aiding in data-driven decision-making.
4. Human Resources:
- Resume Screening: AI-powered platforms like
pymetrics (now Harver)
and
HireVue
can screen thousands of resumes in minutes, ensuring that only the most suitable candidates are shortlisted.
- Interview Analytics: Some AI tools analyse video interviews to assess a candidate’s non-verbal cues, helping in the selection process.
5. Healthcare:
- Disease Identification:
Google DeepMind
has developed an AI that can spot eye diseases in scans. Similarly, IBM Watson can analyse the meaning and context of structured and unstructured data in clinical notes and reports.
- Drug Discovery:
Atomwise
is an AI-based system used for drug discovery, predicting which molecules could have a therapeutic effect.
6. Financial Services:
- Algorithmic Trading: Companies like
BlackRock
and
Renaissance Technologies LLC
use AI-driven models for high-frequency trading, making decisions in fractions of seconds.
- Personal Financial Management: Platforms such as
Intuit Mint
and
Cleo
use AI to analyse users' spending habits and offer financial advice.
7. Supply Chain and Manufacturing:
- Predictive Maintenance: Using sensors and machine learning, companies can predict when machinery is likely to fail, thereby reducing downtime.
西门子
and
通用电气
are pioneers in this space.
- Inventory Management: AI algorithms can predict when stock is running low and automate reordering, optimising the inventory process.
8. Automotive:
- Self-driving Cars: Companies like
Tesla
and
Waymo
use machine learning, computer vision, and vast sensor data to develop autonomous vehicles.
- Predictive Vehicle Maintenance: AI can analyse vehicle data to predict when a car needs maintenance, ensuring safety and reducing breakdowns.
9. Retail:
- Virtual Try-ons: Augmented reality combined with AI allows customers to virtually try on clothes, glasses, or makeup. Platforms like
Warby Parker
’s virtual try-on use this technology.
- Dynamic Pricing: AI algorithms analyse market demand, competitor prices, and other external factors in real-time to automatically adjust pricing.
10. Entertainment:
- Content Creation: Platforms like
Jukin Media
use AI to analyse videos for content that has the potential to go viral.
- Music Composition: Startups like
Amper Music, Inc.
employ AI to compose and produce music tracks based on user preferences.
These are just a few examples. The potential applications of AI are vast and continue to expand as the technology matures and becomes more integrated into various industries.
