Tech in 2025: Security, Data Readiness, Maximising AI
As enterprises step into 2025 they will need to focus on three critical pillars to safeguard data and drive AI-transformations.
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As enterprises step into 2025 they will need to focus on three critical pillars to safeguard data and drive AI-transformations.
AI and machine learning offer exciting innovation capabilities for businesses, from next-level predictive analytics to human-like conversational interfaces for functions such as customer service. But despite these tools’ undeniable potential many enterprises today are unprepared to fully leverage AI’s capabilities because they lack a prioritised data strategy. Bringing siloed and far-flung unstructured data repositories into a single, accessible source is one of the enterprise inhibitors of being able to utilise AI effectively.
The launch of Chat GPT-4 in March of this year provided the catalyst for a conversation that has been gaining momentum for some time now: How will artificial intelligence (AI) change the world?
Enterprise data has been closely linked with hardware for numerous years, but an exciting transformation is underway as the era of the hardware businesses is gone. With advanced data services available through the cloud, organisations can forego investing in hardware and abandon infrastructure management in favour of data management.
Enterprise data has been closely linked with hardware for numerous years, but an exciting transformation is underway as the era of the hardware businesses is gone. With advanced data services available through the cloud, organisations can forego investing in hardware and abandon infrastructure management in favour of data management.
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APIs have become the number one attack vector so will attacks ramp up this year and how can businesses defend them?
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The latest research paper by Cequence Security details the top API threats detected during the first half of 2022. The report is based on analysis of more than 20 billion API transactions and reveals organisations are being plagued by shadow APIs, API abuse and Account Takeover (ATO) etc. It provides some real insights into the scale of these problems, their costs and repercussions.