Genative AI (GenAI) remains the most exciting emerging technology capturing the attention of global business leaders and technology experts. Its potential has inspired leaders; According to our recent AI Pulse Survey of IT decision makers, a significant 75% say they believe GenAI will have a significant or transformative impact on their organizations. However, AI adoption also brings with it one of the most prominent digital transformation challenges of the modern era: managing the ever-increasing amounts of data required to train AI models.
We see evidence of this struggle in the data from our research; Businesses are rightly looking to integrate GenAI into their strategies and operations, but many (39%) admit they struggle with implementation and deployment, with technical complexity cited as one of the key barriers to successful adoption.
The appeal of GenAI is strong, but adopting and effectively utilizing emerging data-generating technology depends on a robust storage foundation. Unfortunately, choosing the right one can be complex, fraught with decisions about compliance, costs and the myriad of potential additional requirements such as real-time analytics.
Before you start the journey, there are a few important points to consider.
Field CTO for the Storage Platforms and Solutions team at Dell Technologies.
1. Tackling unstructured data
We expect GenAI models to meet our challenging demands for better data movement and access. In the past, many (probably most) organizations considered dealing with unstructured data files such as images, videos, voice memos, and chat logs a significant inconvenience. However, in the current era of AI, such unstructured data has evolved into a potentially invaluable resource for analysis and improved decision-making. It’s also true that this type of unstructured data makes up more than 90% of all data, so storage platforms that can handle its complexity are needed.
Storing this type of data requires a system that can be expanded seamlessly and economically. Object storage solutions are often the solution for unstructured data because they contain extensive metadata and a separate ID, simplifying data retrieval and access. The ideal storage for unstructured data should provide flexibility to accommodate different data types and streamline access to archived information.
Despite the inherent management and usage challenges, unstructured data has tremendous value. It is a treasure trove of hidden patterns and insights that can propel an organization toward new and inventive competitive strategies. In today’s cutthroat market, leveraging unstructured data could be the key to outpacing the competition.
2. Is your data storage geared to innovation?
With the increasing value and volume of data, organizations retain more information to improve customer loyalty and bring new services to market. By strategically investing in storage infrastructure, organizations can better develop into digital innovators by using data to their advantage. Such innovation also requires an infrastructure that can facilitate new digital experiences for customers while modernizing the internal IT systems needed to drive innovation. Successful innovation depends on a highly efficient storage system to streamline management, improve privacy and security, and protect against disruption.
3. Security and privacy
AI has significantly expanded the cyber threat landscape. As more companies venture into AI adoption, data breaches and privacy issues are becoming more common than ever, with 48% of organizations considering cyber attacks as a primary threat. While it is true that AI can help strengthen data protection, bad actors can also use it to their own advantage.
This dichotomy underlines the need for a resilient storage infrastructure that can provide recovery in the event of a breach. Organizations operating today need advanced solutions that improve storage efficiency, strengthen cybersecurity, and provide flexibility to scale capacity and performance seamlessly.
Of course, having a resilient platform doesn’t eliminate the need for a solid incident response plan. So it’s crucial to collaborate with security specialists, stay abreast of emerging threats, and continually invest in security solutions that can adapt to the changing threat landscape. Data privacy and security are not a luxury; they are integral to a company’s reputation and success, especially in the age of AI.
The journey to adopting Generative AI (GenAI) is undeniably complex, but its potential to transform businesses is enormous. The foundation of this transformation lies in the right storage solution: a solution that can manage the growing amounts of data, especially unstructured data, and match the innovative ambitions of the organization.
While GenAI offers a wealth of opportunities, it also expands the cyber threat landscape. Therefore, organizations must prioritize security and privacy by investing in resilient storage infrastructures and robust incident response plans. Collaborating with security experts and staying abreast of evolving threats is not an option but a necessity in this digital age.
The path to becoming an innovator using GenAI is not without challenges. However, with strategic investments in storage infrastructure, effective management of unstructured data, and a strong focus on security, organizations can leverage the power of GenAI to gain a competitive advantage and achieve success in today’s cutthroat marketplace. The future belongs to those who are willing to lead with data as a differentiator, and the time to prepare for that future is now.
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