Thanks to fantastic breakthroughs and effective demonstrations of its successes, AI is not like other nascent technologies such as quantum computing or blockchain
To spearhead the advent of driverless cars, Holden recently announced it would invest $120 million annually in Australian engineering and design. This staggering commitment includes expanding the company’s workforce by 150 engineers in Melbourne alone.
64 percent of customer service interactions will be enabled via self-service and 21 percent will include some level of agent-assisted self-service. Consumers increasingly expect to be able to solve most issues on their own, without having to reach out to a brand for support.
There’s a lot of talk about the ‘fourth industrial revolution’, building upon the third, which used electronics and IT to automate production. The fourth is characterised by technologies that are blurring the lines between the physical, digital and biological spheres.
What if the technology could mimic and learn from a resilient system? What if we could vaccinate the infrastructure against outages? We might still experience an initial outage, and the pain associated with it, but future outages would hardly be felt.
Fresh from investments through Blackstone Ventures, data protection company TITUS is on the growth mode globally, and particularly in India, says Jim Barkdoll, CEO of TITUS.
Investors are seeing a very high proportion of business plans that leverage AI/ML – to the point where many do not point out that they use AI/ML; they simply refer to applications in slides towards the middle of the presentation. Something that is representative of the ubiquity of AI/ML and a trend that we are excitedly embracing.