Sean Nathaniel, DryvIQ's CEO, joined KIKRR's Craig Ellrod and Mariana Padilla on the Hackerverse TV podcast to talk about how to find sensitive information in your unstructured data, the 2023 RSA Conference, and more.

Hackerverse TV Podcast: Sean Nathaniel, DryvIQ CEO

AI, at its core, is a learning machine. It thrives on data, but not just any data. High-quality data is the fuel that powers accurate and reliable AI models. The solution lies in a fundamental shift in mindset. Before diving headfirst into AI, organizations must prioritize data preparedness. This goes beyond simply cleaning existing data; it also means embracing the immense potential of unstructured data, a hidden treasure trove waiting to be unlocked. Sounds interesting? Join us at Bytes and Brews as we delve into the importance of prioritizing unstructured data in enterprise AI development and strategies that can help them enhance data quality, take control of their data landscape, and unlock the true potential of AI—one that's ethical and transparent.

The Drowning In Data, Thirsting For Insights Paradox In The Age Of AI – What’s The Solution

Legacy systems continue to hinder the advancement of banks, with a substantial 82% still relying on outdated technology, according to a 2023 report by Celent. These outdated systems present numerous challenges, including limited innovation, escalating costs, and heightened security vulnerabilities. This underscores the pressing need for modernization. Enter the cloud—a compelling solution offering scalability, enhanced security, and significant cost savings. IDC research suggests that the global banking sector could save up to $20 billion annually by embracing cloud computing, with a Total Cost of Ownership (TCO) around 50% lower than conventional IT systems. However, a mere migration to the cloud falls short. Join us at Bytes and Brews to explore how a strategic partnership with Hitachi Vantara and a data-driven approach can transform banks into data powerhouses, unlocking personalized experiences, stronger risk management, and innovative financial products.

Audio -From Brick - And - Mortar To Data Powerhouse The Cloud Transformation Blueprint For Banks

Data is king, and everyone wants in. Self-service analytics and business intelligence tools are giving more people access to data. Gartner predicts that by 2025, 80% of analytical decisions will be made closer to business users. This democratization drives innovation and agility, but it also increases responsibility. With daily data breach headlines, organizations must protect PII security. How do we balance access with robust data security and control.? The answer is a strategic approach that combines both.
Recent breaches, like a consumer wearables brand compromising 7.5 million records, highlight the importance of PII security. Can we have data democracy and security? Yes, with a balanced strategy. This episode of Bytes and Brews explores five cutting-edge PII security solutions. Join us for actionable insights on unlocking data potential while keeping information secure.

The Data Democracy Tightrope: Balancing Control and Security in the age of PII

Organizations are drowning in data, but 60-73% remain trapped in isolated, inaccessible silos, gathering dust instead of driving strategic decisions. These hidden insights are the key to unlocking your company's full potential! Enter Self-Service Data Management (SSDM), the revolutionary approach that breaks down data silos and empowers data owners to leverage its power. SSDM fosters a culture of data ownership, making data analysis accessible and putting valuable insights at everyone's fingertips. This episode of Bytes and Brews dives deep into a 5-step plan to transform your enterprise into a data powerhouse. We'll show you how to empower teams, build a secure foundation, and foster a data-driven future – all within your organization.

The Trust Equation: How Self-Service Data Management Builds Trust and Enables Better Decisions

TL;DR: Claims reserves are frequently inaccurate - not because actuarial models are flawed, but because the data feeding them is. Legacy systems, unstructured information, and inconsistent coding create compounding errors that destabilise financials, increase regulatory risk, and erode strategic decision-making. To fix reserves, insurers must fix their data - modernising infrastructure, enforcing data lineage, and embracing metadata-driven intelligence.
The cost of inaction isn’t just inefficiency - it’s billions in misallocated capital and lost credibility

The Billion-Dollar Blind Spot : Bad Data Skews Claims Reserves

Leveraging the speed and scale of DryvIQ’s patented unstructured data management platform, organizations can continuously classify, manage, and migrate their unstructured data across cloud and on-premises systems. More than 1,100 organizations worldwide trust DryvIQ to fuel their data modernization journey, resulting in increased efficiencies, decreased risk, and reduced costs.

Introducing Bytes and Brews, the podcast where we break down the latest happenings in tech and data.

New tracks tagged #unstructured data