The evolution of analytics: From BI to AI

Analytics have come a long way – from data warehousing and manual report building to centralised data in the cloud and machine learning driven analytics. Business Intelligence (BI) tools were revolutionary when they arrived: they made analytics more accessible to the wider business users. Their speedy and powerful analytics provided insights that businesses only dreamt off in the past. But as technology advances, so has the analytics world evolved.
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Accelerating Data Insights with Cloud BI

Data volumes are growing faster every day. Fortunately, a move to the cloud can make real-time business intelligence accessible and affordable.
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Applying Sensitive Data Intelligence to Multicloud Environments

Data is the lifeblood of any organization, but it comes with significant obligations. The continued growth in data volume, migration to hyperscale multicloud environments and rapidly evolving regulatory environments make it more challenging than ever to efficiently address these obligations. Traditionally organizations have used a variety of siloed tools that were generally not designed for petabytes of data in the cloud. Join Mahood Khan, Global CISO from CNA, along with Rehan Jalil, CEO from Securiti, as they share how CNA has embraced a Unified Data Controls paradigm to efficiently address data security, privacy, governance and compliance requirements with a common platform.
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Data Privacy Using AI-Driven Data Catalogs

Do you have your Enterprise’s data privacy under control? Do you know what datasets are sensitive and who has access? Many companies are behind on privacy and regulatory compliance (GDPR, CCPA, etc.). Legacy tools and manual processes are inaccurate and error prone and can force you to choose between delaying data access by months, or increased compliance risk.
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How to Stay Ahead of a Crisis, and What to Do if You Can't

Imagine you’re a luxury brand releasing a product to a rapt and loyal audience. But instead of receiving rave reviews, your product incites controversy—and social chatter swells around that negative impression. Suddenly, the brand is making headlines that threaten its reputation and could alienate customers. How can you implemen
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