Skip to content
Guides
Start For Free Contact Us

What is Artificial Intelligence?

Svg Vector Icons : http://www.onlinewebfonts.com/icon More AI and Data Science Topics

Artificial intelligence (AI) is the science of training machines — that is, computers — to execute human tasks. AI is rooted in the understanding that a computer can absorb information from its surroundings and learn accordingly, just like a human.

AI helps make sense of the increasingly vast amount of data available to businesses today, including the quickly changing preferences and make-up of customers. AI and data provide actionable insights that can boost revenue, improve customer experience, increase productivity and efficiency, and drive business growth and transformation.

Types of Artificial Intelligence

Snowflake GenAI

AI is a general field that encompasses several disciplines and technologies. To name a few:

  • Rules-based systems use IF-THEN-ELSE and TRUE-FALSE decisions to establish a system based on rules.

  • Machine learning is an application of AI that enables systems to learn automatically and improve through experience without the assistance of explicit programming. 

  • Neural networks mimic the human brain’s workings, using interconnected nodes or units the way the brain uses neurons: each unit applies a relatively simple process or calculation to incoming data, then passes the output to another layer, which applies another simple process or calculation, etc. Each layer of the network learns from the previous one; multiple data passes determine connections and derives meaning.

  • Deep learning leverages massive neural networks to learn more complex patterns from vast pools of data. Applications of deep learning include image and speech recognition.

  • Predictive analytics applies statistical techniques to predict cause-effect relationships. 

  • Pattern recognition allows an AI system to classify and interpret input from its surroundings. Applications of pattern recognition include natural language processing and computer vision.

  • Cognitive computing is a field of AI that strives for natural, human-like interactions with machines.

Technologies that Support AI

The advancement of AI is predicated on the wide-scale availability of massive amounts of data and improvements in related technologies, including:

  • Graphical processing units, providing the heavy compute power required for iterative processing to train neural networks with Big Data

  • The Internet of Things (IoT), which generates massive amounts of data from connected devices

  • Advanced algorithms to analyze more data faster and at multiple levels. This processing allows for identifying and predicting events, understanding complex systems, and optimizing unique scenarios

  • Application programming interfaces (APIs) to add AI functionality to existing products and services

  • Data warehouses, particularly cloud-based data warehousing, enable instant access to shared data in real-time, across and between organizations. For AI, frictionless, real-time sharing of data allows businesses to collaborate and work together to gain deeper insights

Artificial Intelligence versus Machine Learning

While artificial intelligence is a wide-ranging concept that describes machines carrying out tasks in a “smart” way, machine learning is an applied solution of AI in which machines are given access to data and enabled to self-train and learn from this data to produce insightful results. Embracing machine learning as well as AI and data science leads to improved business intelligence.

Artificial Intelligence versus Applied Intelligence 

Within AI are applied intelligence and general intelligence. Applied intelligence is the branch of AI that focuses on a system’s ability to match or surpass human intelligence for a specified task. Applied intelligence incorporates analytics and automation into the AI process.

Benefits of Artificial Intelligence for Business

With access to massive amounts of data and artificial intelligence technologies, businesses can improve engagement with their customers, automate business processes, and improve productivity and revenue.

The benefits of AI to businesses include:

  • Process automation, especially of repetitive activities

  • Faster content creation and app development through generative AI and LLMs 

  • Better understanding of customers

  • More effective, targeted marketing activities

  • Increased revenue

  • Improved products and services

  • More reliable customer service

Uses for Artificial Intelligence

Artificial Intelligence is driving discovery and innovations in education, finance, government, retail, and many other industries. 

There are many ways to use artificial intelligence in business. The most common AI uses are:

Real-time optimization

Example: Enhancing routing and predicting delays for logistics and time-sensitive processes

Strategic optimization

Example: Planning store and site locations to maximize sales and support based on local demand and competition

Predictive analytics

Example: Identifying customer churn risks following behavior changes or interactions for proactive retentions 

Predictive maintenance

Example: anticipating failures of critical machinery and equipment, enabling proactive repairs to be scheduled

Interpreting unstructured data

Example: Reading customer data, emails, tickets, etc., and routing the query based on type, priority, and urgency

Forecasting

Example: Estimating product, service, and staffing demand at a hyper-local level base on trends and events

Trend and anomaly detection

Example: Identifying and preventing new cases of fraud based on suspicious activities and behavior changes

Hyper-personalization

Example: Customizing offers for every individual customer based on their history and personal profile

Cognitive engagement

Examples: intelligent customer service chatbots and personalized recommendation engines

AI Growth and Opportunity

Artificial intelligence technology today is virtually limitless. As such, artificial intelligence products can help you grab a larger share of the marketplace. 

Artificial intelligence vendors vary. Some only provide infrastructure, while others can support AI projects with industry-specific apps. Whether through business analytics, robotic process automation, DevOps or data warehousing, hundreds of startups are impacting the AI industry.

Companies with the right machine learning platform architecture can push forward with AI initiatives and introduce artificial intelligence products to all aspects of their business and everyday life.

Snowflake and AI

Snowflake is bringing the power of generative AI to data. With generative AI, teams can discover precisely the right data point, data asset, or data insight, making it possible to maximize the value of their data. 

That’s why Snowflake has recently acquired three companies that are helping bring advanced AI and deep learning to the Data Cloud:

  • Neeva, a search company founded to make search even more intelligent at scale. Neeva created a unique and transformative search experience that leverages generative AI and other innovations to allow users to query and discover data in new ways.
  • Streamlit, which developers use as their go-to platform to experiment and build LLM-powered, generative AI apps.
  • Applica, which uses deep learning to sort and process information, regardless of data type.

Learn more: Using Snowflake and Generative AI to Rapidly Build Features


Guides
  • Snowflake Workloads Overview
  • Applications
  • Data Engineering
  • Data Lake
  • Collaboration
  • AI and Data Science
  • Data Warehousing
  • Marketing
  • Unistore
  • Cybersecurity

Why Snowflake

Overview

Why Snowflake

Customer Stories

Partners

Services

The Data Cloud

Overview

Platform

Snowflake Marketplace

Snowpark

Powered by Snowflake

Live Demo

Workloads

Collaboration

Data Science & ML

Cybersecurity

Applications

Data Warehouse

Data Lake

Data Engineering

Unistore

Pricing

Pricing Options

Value Calculator

Solutions

For Industries

Advertising, Media, and Entertainment

Financial Services

Healthcare & Life Sciences

Manufacturing

Public Sector

Retail / CPG

Technology

For Departments

Marketing Analytics

Product Development

IT

Finance

Resources

Learn

Resource Library

Developers

Quickstarts

Documentation

Hands-on Labs

Training

Guides

Connect

Community

Events

Webinars

Blog

Podcast

Support

Trending

Company

Overview

About Snowflake

Investor Relations

Leadership & Board

Careers

Newsroom

Speakers Bureau

ESG at Snowflake

Snowflake Ventures

Why Snowflake

Overview

Why Snowflake

Customer Stories

Partners

Services

Resources

Learn

Resource Library

Developers

Quickstarts

Documentation

Hands-on Labs

Training

Guides

Connect

Community

Events

Webinars

Blog

Podcast

Support

Trending

The Data Cloud

Overview

Platform

Snowflake Marketplace

Snowpark

Powered by Snowflake

Live Demo

Workloads

Collaboration

Data Science & ML

Cybersecurity

Applications

Data Warehouse

Data Lake

Data Engineering

Unistore

Pricing

Pricing Options

Value Calculator

Solutions

For Industries

Advertising, Media, and Entertainment

Financial Services

Healthcare & Life Sciences

Manufacturing

Public Sector

Retail / CPG

Technology

For Departments

Marketing Analytics

Product Development

IT

Finance

Company

Overview

About Snowflake

Investor Relations

Leadership & Board

Careers

Newsroom

Speakers Bureau

ESG at Snowflake

Snowflake Ventures

Why Snowflake

Overview

Why Snowflake

Customer Stories

Partners

Services

Solutions

For Industries

Advertising, Media, and Entertainment

Financial Services

Healthcare & Life Sciences

Manufacturing

Public Sector

Retail / CPG

Technology

For Departments

Marketing Analytics

Product Development

IT

Finance

Company

Overview

About Snowflake

Investor Relations

Leadership & Board

Careers

Newsroom

Speakers Bureau

ESG at Snowflake

Snowflake Ventures

The Data Cloud

Overview

Platform

Snowflake Marketplace

Snowpark

Powered by Snowflake

Live Demo

Workloads

Collaboration

Data Science & ML

Cybersecurity

Applications

Data Warehouse

Data Lake

Data Engineering

Unistore

Pricing

Pricing Options

Value Calculator

Resources

Learn

Resource Library

Developers

Quickstarts

Documentation

Hands-on Labs

Training

Guides

Connect

Community

Events

Webinars

Blog

Podcast

Support

Trending

Sign Up for Our Newsletter

Must be valid email. [email protected]
By submitting this form, I understand Snowflake will process my personal information in accordance with its Privacy Notice. I may unsubscribe through unsubscribe links at any time.

© 2023 Snowflake Inc. All Rights Reserved

privacy notice
site terms
cookie settings
do not share my personal information