ai strategy tip
AI Strategy Tips for Building an Enterprise
Today, businesses are under a lot of pressure to get their Artificial Intelligence (AI) strategies right. But when it comes to implementation, they are facing serious challenges around the technology and infrastructure required to support it. AI technology requires an immense amount of processing power and the ability to transfer large amounts of data. As such, it's become clear that businesses need the right environment to deploy these applications with both latency and cost considerations in mind. Further, businesses are seeing that scaling and operating efficient AI deployments require high-density compute infrastructure and associated power and cooling capacities.
GITEX 2018: AI strategy tips from Google, LinkedIn, and Microsoft Internet of Business
Sooraj Shah reports from Gitex Technology Week 2018 in Dubai on the lessons that some of technology's biggest names have learned from implementing artificial intelligence. Representatives from Google, LinkedIn and Microsoft took part in a panel discussion at GITEX 2018, the biggest technology conference in the United Arab Emirates, this week – and it was clear from the discussion that they are all betting big on AI. LinkedIn, the social network that was purchased by Microsoft in 2016 for $26.2 billion, may not be the first name that springs to mind when it comes to artificial intelligence. However, according to Igor Perisic, chief data officer (CDO) at the network, "AI is like oxygen for [its] product. "Without it, we wouldn't be where we are.