Written by

Bernard Marr

Bernard Marr is a world-renowned futurist, influencer and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity. He is a best-selling author of 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations. He has over 2 million social media followers, 1 million newsletter subscribers and was ranked by LinkedIn as one of the top 5 business influencers in the world and the No 1 influencer in the UK.

Bernard’s latest book is ‘Business Trends in Practice: The 25+ Trends That Are Redefining Organisations’

View Latest Book

Why AI Would Be Nothing Without Big Data

2 July 2021

Artificial Intelligence (AI) is one of the most transformative forces of our times. While there may be debate whether AI will transform our world in good or evil ways, something we can all agree on is that AI would be nothing without big data.





Even though AI technologies have existed for several decades, it’s the explosion of data—the raw material of AI—that has allowed it to advance at incredible speeds. It’s the billions of searches done every day on Google that provide a sizable real-time data set for Google to learn from our typos and search preferences. Siri and Cortana would have only a rudimentary understanding of our requests without the billions of hours of spoken word now digitally available that helped them learn our language. Similarly, Connie, the first concierge robot from Hilton Hotels understands natural language and responds to guests’ questions about the hotel, local attractions, restaurants and more. The robot became intelligent due to the extensive data it was given to learn how to process future input.

AI continues to mature due to the explosion of data

Each year, the amount of data we produce doubles and it is predicted that within the next decade there will be 150 billion networked sensors (more than 20 times the people on Earth). This data is instrumental in helping AI devices learn how humans think and feel, and accelerates their learning curve and also allows for the automation of data analysis. The more information there is to process, the more data the system is given, the more it learns and ultimately the more accurate it becomes. Artificial Intelligence is now capable of learning without human support. In just one example, Google’s DeepMind algorithm recently taught itself how to win 49 Atari games.

In the past, AI’s growth was stunted due to limited data sets, representative samples of data rather than real-time, real-life data and the inability to analyse massive amounts of data in seconds. Today, there’s real-time, always-available access to the data and tools that enable rapid analysis. This has propelled AI and machine learning and allowed the transition to a data-first approach. Our technology is now agile enough to access these colossal datasets to rapidly evolve AI and machine-learning applications.

AI enabled by big data

Businesses in all industries are joining AI pioneers such as Google and Amazon to implement AI solutions for their organisations. MetLife, one of the largest global providers of insurance, employee benefit and annuities programs, has also powered AI initiatives with big data. Speech recognition has improved the tracking of incidents and outcomes, the company has more efficient claims processing because claims models have been enriched with unstructured data they now analyse such as doctor’s reports and they are working toward automated underwriting.

Will a computer ever be able to think like a human brain? Some say never, while others say we’re already there. Nevertheless, we’re at the point where the ability for machines to see, understand and interact with the world is growing at a tremendous rate and is only increasing with the volume of data that helps them learn and understand even faster. Big data is the fuel that powers AI.

Data Strategy Book | Bernard Marr

Related Articles

Should I Choose Machine Learning or Big Data | Bernard Marr

Should I Choose Machine Learning or Big Data?

Big Data and Machine Learning are two exciting applications of technology that are often mentioned together in the space of the same breath [...]

What Are The Latest Trends in Data Science | Bernard Marr

What Are The Latest Trends in Data Science?

Here’s an overview of how this usage is evolving – signposts that point the direction of travel between where we are today and where data science will take us tomorrow [...]

3 Key Ways to Monetize Your Data | Bernard Marr

3 Key Ways to Monetize Your Data

I’ve written a book on data strategy, and one of my primary jobs is guiding businesses through the process of using their data effectively. [...]

The Future of Quantum Computing | Bernard Marr

The Future of Quantum Computing

A Chinese team of researchers has recently unveiled the world’s most powerful quantum computer [...]

How Facebook Is Using Artificial Intelligence

Every day, nearly 2.5 billion people log in to one of the [...]

Amazon: Using Big Data to understand customers

Amazon has thrived by adopting an “everything under one [...]

Stay up-to-date

  • Get updates straight to your inbox
  • Join my 1 million newsletter subscribers
  • Never miss any new content

Social Media

0
Followers
0
Likes
0
Followers
0
Subscribers
0
Followers
0
Subscribers
0
Followers
0
Readers

Podcasts

View Podcasts