EDITOR ’ S QUESTION
PHIL TRICKOVIC , SVP OF REVENUE , TINTRI
3 . Implementing intelligent data architecture and management platforms
In today ’ s business landscape , the ability to leverage disaggregated datasets autonomously is not merely advantageous but essential for business survival . Vital components of autonomous platforms , intelligent data management and the significance of real-time analytics are essential in driving success in the digital era . As such , organisations need to observe the following :
1 . Mitigating platform entropy : embracing automation and predictive analytics
In the contemporary AI-driven environment , optimising real-time workloads autonomously is paramount . Automation , combined with realtime predictive analytics tailored to workload profiles , empowers organisations to maintain a competitive edge . By capturing , analysing and adjusting working datasets , businesses can forecast trends , identify efficiencies and provision resources accurately and autonomously .
2 . Addressing integration challenges
In today ’ s interconnected business ecosystem , siloed data and platforms hinder progress . Implementing ‘ workload-aware ’ platforms breaks down these barriers , providing a real-time holistic view of operations . Actionable workload management platforms unlock numerous time and cost-saving capabilities , facilitating seamless integration across the organisation .
As global processing capabilities expand , it ’ s imperative to control costs while maintaining quality . Autonomous tuning based on realtime workload profiles offers precisely this capability . Tintri ’ s commitment to providing unparalleled intelligence and autonomous scalability remains unwavering .
4 . Ensuring data compliance ( e . g ., GDPR )
In an era marked by heightened data privacy concerns , compliance is not just a choice but a legal and ethical necessity . Regulations like GDPR establish rigorous standards for data protection and privacy , with noncompliance carrying significant consequences . Organisations must therefore ensure their data management systems are sufficient to ensure compliance – from data encryption , recovery , retention and auditing / reporting . By proactively adhering to these regulations and implementing robust compliance measures , organisations safeguard customer rights and uphold ethical data practices .
5 . Prioritising data protection and recovery
The stakes for data protection and recovery have never been higher . Ability to recover operations is of the utmost criticality . Given the ever-evolving cyberthreats and potential catastrophic costs of data breaches , Tintri ’ s relentless commitment to identify and mitigate potential threats before they are of impact is in our DNA . x
IN AN ERA MARKED BY HEIGHTENED DATA PRIVACY CONCERNS , COMPLIANCE IS NOT JUST A CHOICE BUT A LEGAL AND ETHICAL NECESSITY .
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