Putting Machine Learning to Use. Does (or, Should) the User Even Notice?
10 Oct 2018
AI and Machine Learning Theatre
There’s no doubt that AI and Machine Learning can provide a wide range of benefits. Often, these complex systems are powering what appears remarkably simple to end users - maybe it’s a feature, button, or even just a single number. The fact is that basic algorithms can (and do) actually deliver results quite effectively for things like linear regression and collaborative filtering, setting the table for heavily-customized, more singularly-focused algorithms. But, do users even care? Do they need to know what powered by AI really means in the specific case of a product they’re using? For the engineers working on these products, portability matters (or can matter) quite a bit, and new technology like Customer Data Platforms are making it easier than ever to custom-fit algorithms to the functions that need them.
"We are impressed with the sheer volume of crowd visiting our booth. We’ve had very good interactions with the delegates and alliance partners."
Marketing Director, TIBCO Software
"We’ve met a good mix of new prospects and existing customers over the two days. There were many relevant questions posed by the delegates, attesting to the immense interest the show has generated for us leading up to the show."
Marketing – South East Asia and India, Splunk
"The conversations in the big data community around machine learning is a lot more mature here. Not only the delegates are interested in big data, they are also keen to learn more about data science, artificial intelligence and internet of things."
Regional Sales Director, Qubole Inc.
"I’m amazed with the diversity of vendors from data centre, big data, data integrators and cloud solution providers. There’s something here for almost anybody from the technology world. The most valuable takeaway for me is the opportunity to meet with our technology partners, alliance partners as well as our prospect and existing customers.!