A shortage of skilled AI professionals is one of the biggest hurdles to broader AI adoption by enterprises.
Salesforce is embedding its solutions with Einstein-powered AI to make the technology more accessible to non-data scientists.
Businesses need artificial intelligence (AI) solutions that can be easily adopted and manipulated by line-of-business users. Although many organizations are eager to adopt AI, they are often held back by a lack of access to data scientists that can curate data and develop AI models that address their specific needs. This skills shortage is one of the top hurdles facing organizations when it comes to operationalizing AI. And it is precisely this challenge that Salesforce is looking to address by embedding its solutions with Einstein-powered AI. Continue reading “Operationalizing AI for Broader Adoption”→
New PaaS offerings from IBM, Red Hat, and Pivotal will include reactive programming in coming months.
Reactive microservices will play a key role in furthering migration from monolithic to microservices in 2019.
Open source software bodies have turned up the heat on important microservices technologies, grabbing the attention of startups in recent years and larger cloud service providers more recently. IBM, Red Hat, and Pivotal are readying reactive microservices technologies for the coming months, innovations which add real-time streaming and machine learning to cloud-based applications and support a critical component for enterprises migrating from monolithic to microservices-based apps. Continue reading “Enterprises’ Most Advanced UX Is Enabled in 2019 via New Microservices Innovations”→
Last week, Nokia announced a strategy to build out private industrial LTE networks, Ericsson carved out four cellular IoT segments, and Cisco offered solutions to bring ‘intent-based’ networking to the edge.
What do these announcements imply about the future of the IIoT and how should service providers respond?
• Concerns over the accuracy of facial analytics have prompted IBM to release a dataset of over one million facial images, including facial coding, that can be used to train facial analytics software.
• Improving the results of facial analytics will bolster public confidence in the technology, promoting adoption by enterprises.
IBM has released a dataset of over one million facial images to the global research community to combat bias in facial recognition software. The announcement comes after researchers from MIT and the University of Toronto made claims that a well-known competitor’s product misclassified women at a higher rate than men, with error rates for darker-skinned women far surpassing error rates for lighter-skinned women. With women accounting for roughly half of the world’s population, inaccuracies in their classification present a serious threat to facial recognition adoption. Continue reading “IBM Releases Images to Improve Facial Analytics Accuracy”→