The numbers on your AI market report are probably wrong. You are getting information about machine learning and AI from parties with a vested interest, and misinformation may be passed off as good marketing. You have spent your money and influence on software and consultants, but if you take an honest look at your P&L, you have bought PR instead of real ROI. Meanwhile, the gap between cutting edge technology and current state grows ever wider.
In this presentation, we discuss useful handles to distinguish AI from other analytics capabilities, common dysfunctions that cause enterprises to stumble in developing an in house AI capabilities, and the opportunity for organizations to step up and take responsibility to be competent and ethical practitioners of AI.
"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.!