By now, every organization, regardless of industry, has at least explored the use of AI, if not already embraced it. In today’s market, the AI imperative is firmly here, and failing to act quickly could mean getting left behind. But even as adoption soars, struggles remain, and scalability continues to be a major issue. Organizations are quick to adopt AI, but getting it established across the organization brings a unique set of challenges that come into play.
Whether it’s rapidly rising costs, an inefficient and outdated data infrastructure, or serious gaps in data governance, there are myriad reasons why organizations are struggling to move past adoption and achieve AI at scale in their enterprises.
But with the right technology partner, businesses can accelerate their adoption and maximize the value of both their own data and the AI outputs it can generate. Let’s take a closer look at what they face and how Cloudera is uniquely positioned to help them find success.
A New Set of Challenges
Getting up and running with AI is not always straightforward. Anytime a technology is integrated into a business, there’s potential for a new set of challenges to take hold. At the core of many of those is the issue of trust, specifically trusted data. Trusted data is what makes the outputs of AI not just accurate, but impactful in decision making. Ensuring data is trustworthy comes with its own complications.
Cloudera’s State of Enterprise AI and Modern Data Architecture survey identified several challenges when it comes to data. Among those challenges, survey respondents identified merely having too much data (35%) and good governance (36%) as serious obstacles. Trust represents a unique challenge for business leaders—the insights gathered from data are only useful if those leaders know they can trust it. Essentially, if the business data that’s fed into AI models is bad, the resulting insights that come from it will be flawed as well. As data volume grows, data silos proliferate, making it harder for leadership to manage their collective data estates. That lack of knowledge also directly feeds into the problem of governance, as those gaps leave room for data to be misused or mishandled.
Businesses require a modern data architecture that is ready to support the needs of a contemporary business. With this architecture, businesses can build in greater flexibility and scalability in their existing infrastructure to support the rise of AI. These architectures enable enterprises to future-proof their AI models, drive innovation, and stand out in competitive markets.
Cloudera is Your Trusted AI Partner
Getting past these challenges and successfully tapping into the power of AI requires businesses to work with a technology partner proven to deliver crucial data and analytics solutions for hybrid cloud, industry-leading AI expertise, and a strong foundation to support and future-proof AI investments.
With Cloudera, organizations can build a data infrastructure that is flexible and scalable enough to ensure that as the use of AI grows, the data that fuels it will keep pace. Cloudera ensures data governance is robust to protect data as it’s used in AI models and keep that use in line with internal standards and external regulations.
Likewise, Cloudera’s open data lakehouse presents a standout option for organizations to leverage as a foundational part of their data infrastructure. This platform brings together the flexibility of data lakes with the power of a data warehouse all in one place. The open data lakehouse is critical for organizations looking to harness AI, helping run analytics on data—structured and unstructured—at scale. It’s tailor-made for the data challenges that often hinder AI adoption. Particularly as organizations are inundated with more and more data, an open data lakehouse serves as a strong foundation to help them keep pace. With Cloudera and the only true hybrid platform for data, analytics, and AI, organizations can eliminate data silos and empower data teams to collaborate on the same data with the tools of their choice on any public cloud and private cloud.
Ultimately, every AI journey will encounter a bump in the road. But there’s no need to face those challenges alone. Cloudera brings a wide set of technology, solutions, and know-how to demystify the process and ensure that AI is implemented securely, effectively, and simply enough to rapidly scale and generate maximum business value.
Read the full survey report and learn how Cloudera can help accelerate your AI journey.
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