AI Insights

AI insights are a set of tools and techniques used to gain insight from data using artificial intelligence (AI). AI insights are deeper understandings, learnings, or revelations ascertained by leveraging the power of artificial intelligence (AI) and AI-driven tools and techniques.

They uncover patterns, trends, and correlations in data that may not be visible to the human eye.

AI insights can help organizations make better decisions, improve customer experience, and optimize internal business processes and operations.

AI insights can be applied effectively across multiple industries, including marketing, finance, healthcare, and more:

Marketing: AI insights can help marketers understand customer behavior and preferences by analyzing customer data.

Finance: AI insights can help identify fraud or money =-laundering activities by analyzing financial transactions.

Healthcare: AI insights can be used to detect diseases earlier or predict patient outcomes.

Regardless of industry, AI insights provide organizations with valuable information that can help them make better decisions that drive business outcomes. By leveraging the power of AI insights correctly, organizations can gain a competitive edge.

AI insights, and the growth of AI as a whole, are fuelled by 3 core components:

• Machine learning

  Machine learning is a branch of artificial intelligence that enables computers to learn from data and experience, identify patterns, and make decisions without being explicitly programmed.

  Machine learning algorithms enable computers to use data they have been exposed to in order to improve their performance on tasks they are later asked to complete. For example, machine learning algorithms can be used to detect fraud or spam, predict customer churn, recommend products, recognize objects in images, and more.

• Big data

  Big data is a term used to describe large and complex sets of data that can be mined for valuable insights. Big data is often characterized by three main properties: volume, velocity, and variety.

  Volume

  refers to the amount of data being collected and stored. In the digital age, we generate vast amounts of data every day — from online searches to social media posts — and this data must be stored in order to use it effectively.

  Velocity

  refers to the speed at which new data is generated and made available for analysis. With advances in technology, more and more information is becoming available rapidly and needs to be analyzed quickly in order to keep up with changing trends or customer demands.

  Variety

  refers to the range of types of data that are now available for analysis. Big data can come from multiple sources such as web logs, social media posts, images, videos, sensor readings, transactions records etc., which all need to be processed together in order for meaningful insights to be gleaned.

• Quantum computing

  Quantum computing is a branch of computer science based on quantum mechanics to build powerful computers capable of performing calculations and simulations far beyond human capability.

  Unlike traditional computers, which rely on binary bits (ones and zeros), quantum computers use qubits, or quantum bits. This enables them to store and manipulate vast amounts of information in a single qubit, allowing for unprecedented levels of computation power.
  Quantum computers can be used to solve complex problems in areas such as predictive analytics, ad spend optimization, and more.

• Automation of data-intensive tasks:

  AI can automate mundane tasks such as data entry and analysis, freeing up time for marketers to focus on more creative activities.

• Delivering personalization at scale:

  AI can be used to tailor content to individual customers based on their preferences and interests. This helps create a more personalized customer experience that can lead to increased sales and loyalty.

• Enhanced ad targeting:

  AI can be used to identify potential customers and target them with relevant ads or messages. This helps ensure that the right message is reaching the right people at the right time.

• Deep dive into customer behavior:

  AI can provide valuable insights into customer behavior, allowing marketers to better understand their audience and develop intelligent strategies to target them more closely.

SAP Emarsys helps leading brands like Pizza Hut, Babbel, and PUMA access the analytics they need to better understand what’s working, and the AI technology to predict what will work next.