Tue.Nov 28, 2023

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What you don’t know about data management could kill your business

CIO

IT leaders take note: At your likely current trajectory, your organization is the Titanic and its data is the iceberg. To avoid the inevitable, CIOs must get serious about data management. Data, of course, has been all the rage the past decade, having been declared the “new oil” of the digital economy. And yes, data has enormous potential to create value for your business, making its accrual and the analysis of it, aka data science, very exciting.

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Biometric Data Security: Advancements and Concerns

Dataversity

Biometrics was once a novelty reserved for spy movies and top-secret government facilities. Today, we carry it in our pockets and use it for mundane things like signing into Facebook. While biometric data security technology offers advantages not available through conventional passwords, it also has unique privacy risks and limitations. What Is Biometric Data?

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8 tips for unleashing the power of unstructured data

CIO

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. For many enterprises, unstructured data, in the form of text, video, audio, social media, imaging, sensor, and other formats, remains elusive and untapped.

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Risk Insights: Strategies and Best Practices

WideNARROW

In the complex domain of risk management, where liquidity risk management and the analysis of risk data play pivotal roles, the importance of staying informed and updated cannot be overstated. Risk managers must navigate the intricate landscape of meaningful insights and market insights derived from historical data and real-time data.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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The Importance of Identity Management in Security

CIO

It’s ever more challenging in today’s work-from-anywhere world to prevent cybersecurity breaches. And while all organizations work hard to prevent attacks through traditional security measures such as multi-factor authentication, patching, training, and more, the bad guys increasingly find their way in through poorly thought-out, scattered access and identity management practices.

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The hybrid approach: Get the best of both mainframe and cloud

CIO

As more businesses push forward with digital transformation projects, cloud computing has stood out as a powerful tool capable of fueling the analytics that drive new technologies like artificial intelligence (AI) and machine learning (ML)—two capabilities that are quickly becoming a must-have in nearly every organization. But getting to that point presents some unique challenges.

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Making sense of zero trust – why a managed SASE solution is the ideal option for enterprises

CIO

Remote working and cloud computing are among the most significant trends in the global business landscape, unlocking innovation but also increasing attack surfaces and creating opportunities for cyber attackers. To mitigate these threats, businesses are turning to a new generation of cybersecurity solutions – with research showing Secure Access Service Edge (SASE) at the forefront.

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Why data virtualization is critical for business success

CIO

Businesses today are sitting on vast amounts of data, which has the potential to unlock new opportunities and avenues to stay one step ahead of the competition. But data doesn’t always come in a neatly packaged format, ready to be sorted, analyzed, and used in decision-making or analysis. Enterprises are highly complex operations that often maintain and produce a mountain of data, both structured and unstructured.

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