Putting the shift to industry clouds into context, Salesforce CPO David Schmaier makes the case for why customers want vertically-focused solutions.
This week - are marketers ready to break stuff? A wake-up call arrives. The return-to-office ratchets up as Apple employees push back. The global AI race gets nuttier, while lessons from the Colonial Pipeline attack linger. Your whiffs include some blockchain fun - at my expense.
As Connections opens its virtual doors, Salesforce extends the capabilities of Commerce Cloud and Marketing Cloud.
Some investors think AI is the next Internet gold rush - a look at NVIDIA's latest moves in this space.
The Internal Revenue Service’s thinking about digital taxpayer services has been accelerated during the COVID-19 pandemic.
Hoping to be pleasantly surprised, M&S throws itself into digital transformation after plunging to massive losses during the COVID crisis.
The best quarter ever? About to over take SAP? Dreamforce is back? No wonder Salesforce CEO Marc Benioff was so excited on his latest analyst call.
It’s the launch of a summer season of robotics events, as the UK – hopefully – begins its economic recovery. Is the sun rising on the robots?
The rise of the citizen developer in the pandemic economy - how low-code and no-code made a difference
Citizen developers aren't a new concept - but their role is expanding. Nayaki Nayyar at Ivanti outlines how to empower citizen developers to make the most of low-code and no-code tools.
AI announcements at Google I/O last week trigger discussion of Google’s position vis-a-vis AI services at other cloud platforms.
There is no AI Ethics without data privacy. But how do we account for new privacy legislation like GPDR and CPRA - and also the resistance to it? Here's how the regulation of privacy evolved.
The media giant’s data chief explains how his team is overcoming the challenges of a complex technology and business environment to deliver insight-led services to customers.
An effective approach to AI Ethics must reckon with bias, algorithmic discrimination, and privacy. These terms have a historical context that should be understood - if we want to deploy AI ethically. This time around, we delve into bias.
