The volume and intensity of data that organizations are tasked with managing are steadily increasing. By 2025, it is projected that the amount of data generated will surpass a staggering 181 zettabytes, equivalent to 181 billion terabytes.
The digital landscape is evolving rapidly, with organizations facing unprecedented challenges in harnessing the vast amounts of data at their disposal. CDW Chair and CEO Christine Leahy aptly likened this data deluge to the colossal 100-foot waves formed by the unique conditions of the Nazaré Canyon in Portugal. As technology continues to advance, the waves of data are growing larger than ever before, presenting both opportunities and risks for organizations.
To thrive in this data-driven era, businesses must learn to effectively leverage this wealth of information. Those who can successfully navigate and analyze this data will ride the waves to new heights, while those who falter risk being swept away by the sheer volume of information at hand.
Ensuring the quality of data is paramount for the success of artificial intelligence (AI) and analytics initiatives. Russell Fishman, senior director of Field Advocacy and Solutions Technology at NetApp, emphasizes the critical importance of extracting the inherent value within organizational data. As AI adoption proliferates, the need for high-quality data becomes even more pronounced, as AI systems heavily rely on accurate and reliable data inputs.
In order to unlock new insights and drive innovation, organizations must combine various data sources to fuel AI-driven analytics. By identifying key data streams and applying analytics across multiple sources, businesses can uncover valuable insights that would otherwise remain hidden. For instance, retailers can expedite loss prevention investigations by integrating video surveillance with exception-based reporting systems.
As organizations refine their data strategies and prioritize data quality, they will be better equipped to ride the tidal wave of data inundating the digital landscape. By identifying the most impactful data combinations, businesses can harness the power of AI to scale their analytics efforts. In the coming decade, AI is poised to become an indispensable tool for achieving analytics success, transitioning from a mere option to a necessity in the business landscape.
Stay updated on BizTech’s coverage of the CDW Executive SummIT by following us on Twitter @BizTechMagazine and joining the conversation using the hashtag #CDWExecutiveSummIT.
