In every aspect of life, we keep developing and discovering new ways to make things easier for ourselves, from figuring out how to light a fire to create complicated machinery. Entering the 2020s, it seems we have reached peak progress, at least for this century. The future is unpredictable; who knows what will happen in ten years or ten minutes? However, one thing is sure; Artificial Intelligence will revolutionize our lives enormously.

If we look at the bigger picture, AI will potentially improve recruitment, cybersecurity, marketing, and standard operating processes. AI's perk lies in the speed, availability, and sheer scale of the infrastructure, which makes it possible for algorithms to take on more ambitious problems than ever before.

And if we look from a funny lens, ordinary folks like us use AI to create memes and AI-generated art; however, for the sake of this blog, let's stick to business talk.

Getting down to the meat of the whole blog, What makes AI and data analytics so successful? Why are people in business gravitating towards using data analytics?

To answer these questions, we need to explain things along the way.
AI Analytics is a machine learning algorithm that automates the time-consuming work usually done by data analysts by constantly monitoring and analyzing vast amounts of data.

In analytics, patterns in data are identified, interpreted, and communicated.

Companies apply business analytics to help in:

  • Answer business questions
  • Make predictions
  • Discover new relationships
  • Improve business performance.

We can see the perks of AI and business analytics used by many reputable companies globally, as shown by tdwi report that states:

Machine learning dominates the technologies in use; over 90% of respondents who are active users of AI use machine learning. Many are building machine learning models and putting them into production. Others are building applications.

Other benefits that organizations use to their advantage for their work come in the shape of

  • Using AI to build churn models
  • Predicting fraud.
  • Helping to integrate data.
  • Building predictive models.

The reasons listed above are a fraction of AI and data analytics. Beyond that, what other elements of using AI in businesses help companies soar to the top?

We can divide them into two factors.

1- Internal Data

Internal data is the information gathered by data analytics powered by AI to showcase progress, problems, and solutions inside your company.
It gives businesses detailed information to help operations run smoothly by:

  • Getting Accurate Insights

  • Increasing Revenue

  • Managing costs

  • Enhancing Customer Experience:

  • Risk Mitigation

Other perks AI can assist in facilitating business operation can manifest in

  • Chatbots
  • Voice assistance
  • Automated recommendations
  • Language translations
  • Image recognition

2- External Data

The competitive intelligence process collects and analyzes information about your business environment, competitors, and industry.
This information can affect a company's competitive advantage.

So competitive intelligence operates by seeing all your competitors' actions and tracking them - from their products to their people to their promotional campaigns.
Finding out what works for other businesses in your industry can help you make better decisions, which leads to cost-effective marketing campaigns.

In short, this is what competitive intelligence is like.

Data Analytics powered by AI gathers inside information about your operations to make an extensive SWOT analysis. Competitive intelligence is collecting data from the outside to see what the competitors are doing to gain an advantage.


The world is moving forward with Artificial intelligence applications transforming Healthcare, Insurance, Finance, and Marketing sectors.

You need to move fast and act firm when it comes to businesses. By applying data analytics, you'll be able to keep track of time and surpass it.

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