In the digital age, data is the lifeblood of modern business, fueling innovation and driving growth. However, as data continues to proliferate at the speed of artificial intelligence, organizations are facing critical challenges in managing and harnessing its potential.

In today’s fast-paced world, businesses face the challenge of managing the ever-expanding volume of data at their disposal, an issue that often hinders their ability to derive the critical and accurate insights they need to thrive and stay competitive. Driven by the monumental rise of generative AI, cloud services, remote work, and IoT devices, most organizations expect their data to double by 2025.

Finding meaningful cost savings is a high priority for companies running their enterprise architecture in the public cloud. Cloud costs have ballooned in recent years and account for over 30% of IT budgets, reports IDC. Enterprises have sought to shift their cloud workloads from on-premises to public clouds, depending upon pricing and performance, to provide themselves with better leverage and business flexibility.

Enterprises are drowning in data. Structured, semi-structured or unstructured data for the modern, data-driven enterprise is everything, everywhere, all at once. But that’s also a challenge for enterprises looking to transform their data into usable information for business success. The sheer volume of data is challenging the ability of enterprises to find trustworthy, reliable data to drive their business decisions. Traditional data catalogs offer only structured data discovery.

In today’s high-velocity digital arena, businesses are thrust into the whirlwind of global events, rapid technological advancements, and the incessant push for innovation. Yet, amidst the tempest of mergers, digital acceleration, and shifting tech paradigms, charting a confident path towards cloud migration can be daunting.

From electronic medical records and monitoring devices, to personalized medicine and real-time decision-making, data is critical at every turn within modern healthcare. However, the sheer volume and complexity of healthcare data is posing increasing challenges on medical centers and professionals.