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Unstructured data related business. Is this the next big thing for investors?

Unstructured data (UD) is rapidly gaining prominence, with its importance set to soar throughout this decade. Recent reports highlight a surge in investment, with 45% of businesses prioritizing UD analytics software and 62.5% of IT leaders increasing their UD storage budgets by the end of 2021. Given that over 90% of global data is unstructured and IBM estimates a daily generation of 2.5 quintillion bytes, it’s clear that UD holds immense, untapped potential. However, the vast scale and complexity of UD necessitate specialized expertise to unlock its valuable insights and drive business growth.

What is UD?

Unstructured data (UD) includes diverse formats such as text, audio, images, and video, and stands in contrast to structured data (SD), which is organized into tables and easily searchable. While SD's organized nature allows for straightforward access and interpretation, UD's complexity arises from its lack of structure and its expression in various natural languages, making it challenging to process with traditional methods.

The sheer volume of UD generated daily—equivalent to ten million Blu-ray disks stacked as high as four Eiffel Towers—demonstrates its vast potential. However, unlocking this potential requires advanced AI technology and specialized expertise, highlighting the crucial role of companies that can effectively manage and analyze UD. This growing field, largely driven by start-ups and early-stage firms, offers significant business value and opportunities for innovation.

Harnessing the power of UD (and its interpreters)

Businesses invest in unstructured data (UD) due to its unparalleled value in providing deep, actionable insights. In marketing intelligence, for example, AI can analyze vast amounts of customer interactions to reveal nuanced details about customer sentiment and experiences with a brand, service, or product—insights that are far more precise and actionable than traditional methods.

Additionally, UD plays a crucial role in trading and investment by analyzing news articles and headlines to identify factors influencing stock prices. However, the effectiveness of UD is contingent upon the accuracy of the analysis tools and human expertise involved. Poorly managed UD analysis can lead to costly errors, emphasizing the need for sophisticated technology and skilled professionals to extract meaningful insights and avoid misinformation.

Conclusion

The growing investment in unstructured data (UD) by IT leaders is no secret; it reflects the undeniable power of data in fields like marketing and alternative analytics. For investors aiming to harness this power, opportunities abound in supporting companies that excel at converting raw data into valuable insights. The true value of UD lies with the technology and AI experts who master its complexities, making this a promising area for investment.

Original Source: London Loves Tech

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