Guide: This is the future of AI in finance – it’s time to get ahead
It’s time to get ahead!
This is your guide to getting ahead of AI projects with HPE and NVIDIA® AI solutions.
Data-driven strategies and investment in artificial intelligence (AI) and machine learning (ML) are only becoming more critical. The COVID-19 pandemic has placed immense pressure on technology professionals to accelerate digital transformation.
Financial organisations are prioritising AI project forecasts to meet new world demands by implementing innovative customer-centric solutions. However, innovating whilst considering enterprise-wide business outcomes and varying role-specific objectives can be challenging. Teams within an organisation must collaborate in order to implement and scale AI.
There exists a “trifecta” of roles involved in the decision making and delivery of AI projects. All of which have varying objectives, challenges and working methodologies. However, AI is a team sport, and each role plays a vital part in the overall success of AI products. These roles most often consist of Product Managers, Data Scientists and IT Managers and collaboration, is key.
Plus, these roles are evolving.
Product managers have expertly adopted the ability to observe competitor and industry trends, all whilst juggling an abundance of business priorities, KPIs and necessary outcomes. Product Managers are well-versed in the Board’s tumultuous love affair with AI. Once perceived as expensive, abstract technology, boards are now concerned if a project hasn’t got AI in it. Product Managers often need to orchestrate a team including Data Scientists and IT team.
Data scientists are delivering solutions that scarcely would have been believable even a year ago. COVID-19 provided a catalyst, fast-tracking data science projects to meet the demands of an unprecedented rise in AI based business requirements. The critical nature of these projects has meant Data Scientists have transitioned from developing and implementing AI/ML models at the request of the business, to playing a strategic role in influencing the technology and data strategies required to achieve business objectives.
During the pandemic IT teams switched their attention to enterprise-wide infrastructure, endurance, and scalability to ensure new-world demands are achieved without compromising the mission critical services. However, as we emerge into a post pandemic landscape, an influx in customer communications and changing requirements, means AI projects are at the forefront of the agenda. IT teams are seeking technology to improve collaboration with Data Scientists, meet and exceed infrastructure demands and help you manage the ever-increasing ask on compute; developing a technology foundation fit for the future of AI.
Friction is inevitable amongst these roles – a challenge that HPE and NVIDIA both understand. They are helping every role in the AI project get ahead by providing powerful, scalable solutions to meet business, data science and IT needs.
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