Delivering The Right Technologies at the Right Time
Machine learning helps organisations extract value from data but not without cost. Creating an efficient path to value for AI requires agility in where, and how, enterprise data science and machine learning teams work. Machine learning models are the heart of AI and to make more accurate predictions they must be trained and optimised over many iterations, typically with vast amounts of data. They are often conceptual as teams tweak their approach to solve a problem. Increased iterations lead to higher model quality, which directly improves both revenue and margins for companies. Hear from HP about the Z by HP high performance workstations together with NVIDIA Quadro GPUs that meet the demands of advanced analytics and enable customers like American Airlines to fuel innovations.
Tom joined HP earlier in the year to manage HP Inc’s Data Science and AI business for the UK&I. He works with some of the UK&I’s biggest organisations across Private and Public sectors, helping them implement HP’s Data Science and Edge Solutions.Before working for HP Tom has worked in the IT industry for the last decade working with some of the biggest organisations in the UK and Europe. Providing and applying Technology solutions.