Intelligent CIO Europe Issue 75 | Page 38

FEATURE : DATA MANAGEMENT
Matt Watts , Chief Evangelist at NetApp , tells us how businesses can leverage Artificial Intelligence , unified data storage and robust cybersecurity strategies to transform their operations and gain a competitive edge in today ’ s datadriven landscape .
Below , I outline four ways I predict that organisations will reimagine their data-driven businesses in 2024 and transform their operations .
Models will give way to data in Artificial Intelligence innovation
Over the last year , we ’ ve seen organisations rush to find ways to use generative Artificial Intelligence as it becomes more ubiquitous , with seemingly endless potential uses . Recent developments in large language models and multimodal AI have created new opportunities to process text and images and respond to prompts , allowing them to handle customer service interactions , create human-like avatars and even generate code .

As businesses carve out competitive advantages and differentiation in their respective markets , they are collecting and analysing massive amounts of data and metadata from every business application , customer touchpoint and device they can to generate actionable insights .

Continuing innovation in areas like AI and analytics has given these businesses new ways to apply their data , but they need to ensure their underlying IT and business infrastructures can process and analyse all that data , no matter where it ’ s stored or when it ’ s needed . Those that can make their data work for them will operate more efficiently and drive business value .
In fact , a study from the Boston Consulting Group shows that 30 % of data-driven businesses are expected to increase revenue by more than 10 % by the end of 2024 compared to only 13 % of laggards .
As organisations start to use AI to help unlock new insights and automate certain parts of their business operations , they may realise their models are a good start , but not as adaptable as they want them to be . AI models by their nature are limited by their preset parameters . Instead , organisations will start to focus on creating steady data pipelines to power AI applications so that they can learn from the latest information and update accordingly . This will enable businesses to use AI to put their data to work and operate with greater agility .
Breaking down data silos
Organisations are going to break down silos between different data types with unified data storage – which combines all of a company ’ s data types across onpremises and cloud environments – to fuel the new era of Artificial Intelligence and analytics innovations .
As companies dig deeper into analytics to generate business insights , they will find that their existing data storage architectures have separate streams for each

How businesses will rethink data in 2024

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