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A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.
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At the same time, many organizations have been pushing to adopt cloud-based approaches to their IT infrastructure, opting to tap into the speed, flexibility, and analytical power that comes along with it. This integration enhances the overall efficiency of IT operations. Better leverage their mainframe data with near real-time access.
The company also plans to increase spending on cybersecurity tools and personnel, he adds, and it will focus more resources on advanced analytics, data management, and storage solutions. The rapid accumulation of data requires more sophisticated data management and analytics solutions, driving up costs in storage and processing,” he says.
If competitors are using advanced data analytics to gain deeper customer insights, IT would prioritize developing similar or better capabilities. This process includes establishing core principles such as agility, scalability, security, and customer centricity.
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Without integrating mainframe data, it is likely that AI models and analytics initiatives will have blind spots. However, according to the same study, only 28% of businesses are fully tapping into the potential of mainframe data insights despite widespread acknowledgment of the datas value for AI and analytics.
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Speaker: Sam Owens, Product Management Lead, Namely Platform
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Setting the standard for analytics and AI As the core development platform was refined, Marsh McLennan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform. Simultaneously, major decisions were made to unify the company’s data and analytics platform.
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The relative reliability, security, and scalability of mainframes make them refractory to the competing clouds and render them very useful in analytic and decision-making work lubricated by AI,” he says. Many mainframe users with large datasets want to hang on to them, and running AI on them is the next frontier, Dukich adds.
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” Pliops isn’t the first to market with a processor for data analytics. Oracle’s SPARC M7 chip has a data analytics accelerator coprocessor with a specialized set of instructions for data transformation. As a result, organizations are looking for solutions that free CPUs from computationally intensive storage tasks.”
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As businesses embrace remote-first cultures and global talent pools, virtual recruitment events are a cost-effective, efficient, and scalable way to source and connect with top talent. Enhanced Data Collection Advanced analytics allow recruiters to track attendance, engagement levels, and candidate feedback with digital platforms.
He says, My role evolved beyond IT when leadership recognized that platform scalability, AI-driven matchmaking, personalized recommendations, and data-driven insights were crucial for business success. CIOs own the gold mine of data Leverage analytics to turn your insights into financial intelligence, thus making tech a profit enabler.
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In September, we organized the 11th edition of the Analytics Engineering Meetup. Jan Boerlage and Aletta Tordai showcased Sligro’s digital transformation through a scalable cloud-based data platform, illustrating the impact of cloud solutions on business agility and decision-making. You can check out their presentation here.
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Koletzki would use the move to upgrade the IT environment from a small data room to something more scalable. He knew that scalability was a big win for a company in aggressive growth mode, but he just needed to be persuaded that the platforms were more robust, and the financials made sense.
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In this role, she empowers and enables the adoption of data, analytics and AI across the enterprise to achieve business outcomes and drive growth. Mike Vaughan serves as Chief Data Officer for Brown & Brown Insurance. Arti Deshpande is a Senior Technology Solutions Business Partner for Brown & Brown Insurance.
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