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With a monumental promise of injecting $15.7 trillion into the global economy by 2030, AI is not just an innovation—it's a revolution. For businesses, AI beckons with a siren song of increased productivity, innovation, and growth.
A recent IBM Global AI Adoption Index noted that 35% of businesses are already navigating the vast oceans of AI. Meanwhile, 42% are standing on the shoreline, preparing to set sail. They're ready to take the plunge into the world of workflow enhancements, risk management, and elevated customer experiences.
But, as with every golden opportunity, there are challenges lurking in the shadows. For AI, this challenge is the expansive sprawl of unstructured data.
Picture this: your company's data isn't just numbers and codes. It's the vibrant visuals of your marketing campaign, the intricacies of legal agreements, and the passion evident in sales presentations. This is unstructured data—dynamic, scattered, and integral.
However, currently, businesses manage to harness only about 0.5% of this vast digital resource. As we look ahead, by 2025, 80% of global digital data will be unstructured. That's an overwhelming amount of digital "wildlife" that businesses must wrangle to truly harness AI's might.
In the heart of every organization, unstructured data is the essence. It's present in every image search, customer interaction, and legal negotiation. And yet, its fractured nature makes it almost elusive. An alarming 90% of it goes unnoticed and untapped, according to IDC.
Dispersed data leads to stifled collaboration, inefficient operations, and potential security risks. The disjointed nature of such data, spread across multiple platforms, makes it vulnerable to breaches and attacks.
By 2025, the world is expected to produce a staggering 180 zettabytes of data, dwarfing 2020's 6.4 zettabytes. The need for centralizing this colossal amount of data under the cloud has never been more apparent.
With centralized data, operations become harmonious. Teams, regardless of their function, can collaborate with ease, security measures become robust, and costs are optimized.
Consider a global financial corporation, with critical data spread across multiple systems and regions. Finding specific client-related documents can be an exhausting endeavor. With centralized content management, even daunting tasks, similar to investigations of financial scandals, become achievable.
Centralizing data is akin to setting the stage. The real performance begins when AI steps into the spotlight. With AI, vast archives can be turned into actionable insights, automating time-consuming tasks and maximizing operational efficiencies. From image recognition to text analysis, AI can unlock the hidden potential of content, elevating businesses to new heights.
AI is the gleaming beacon for businesses, promising unprecedented advancements. Yet, the challenge of unstructured data stands tall, demanding attention. To truly tap into AI's boundless potential, businesses must first streamline and centralize their content. Only then can they hope to construct empires that stand strong, rather than fleeting sandcastles washed away by the tides of inefficiency.
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