Artificial intelligence and machine learning continue to be some of the key buzzwords within the technology industry and beyond, and today’s organisations are under pressure to implement the technology as part of their digital transformation plans.
While AI holds great promise for delivering genuine business success, with some organisations already seeing the benefits of implementing the technology in area such as data analytics and customer services, many are simply paying lip service, or those that have implemented AI are typically at the early stages of maturity.
In this context, what conditions are needed to ensure AI ROI can be achieved in the near term?
The following webinar will cut through the hype that surrounds AI and explore what organisations are actually achieving with the technology. It will take a look at AI use cases and how to overcome barriers to take them from a proof-of-concept to a revenue-generating success story. Finally, it will look at the importance of having the right hardware infrastructure to ensure the performance improvements generated by AI furthers wider business objectives.
Tom is Computing’s Site Editor, responsible for the editorial schedule and awards output. He has been a B2B writer since 2008 – not the easiest time to start a new career – working on topics as diverse as jewellery, pet care and funerals. Yes, he’s heard all the jokes.
Tom joined Computing in 2017, coming from the display industry; trading LCDs and quantum dots for data and cybersecurity. As well as writing, he regularly interviews C-level IT leaders, speaks at industry events and complains about improper use of the Oxford comma.
Commercial technology editor, The Channel Company EMEA
Ellen is an experienced technology journalist who recently joined The Channel Company as a technology content editor from business and technology title Verdict where she was a senior reporter. Ellen works with our technology research team producing reports on the latest industry trends.
Michael is a Developer Advocate at cnvrg.io, an Intel company. He has taught Python based ML classes through Stanford Continuing Studies, UCSD Extension, and LinkedIn Learning. In his spare time, Follow him on Twitter and Medium @GalarnykMichael
Stephan Gillich is Director of Artificial Intelligence - GTM at Intel. His responsibilities include the positioning of Intel products and solutions in the AI and technical computing environment. Together with his cross-site and inter-organizational team, Stephan Gillich plans and implements strategies worldwide including the European region and the Middle East.
Stephan joined Intel as a Computer Scientist in the Supercomputing Division. Since then, he has gained comprehensive expertise on clients and the datacenter in numerous business areas and he has held various management positions with responsibility for technology and the positioning and marketing of relevant products for businesses, industries and end-users. As a member of the steering committee of the Digital Video Broadcasting Project (DVB) he has also worked towards the expansion of unified standards in the media industry.
Stephan Gillich holds a degree (Dipl. Inform. univ.) in Computer Science from the Technische Universität München.