Source: adtmag.com The latest release of Hazelcast’s Jet event stream processing engine for AI and ML deployments of mission-critical applications adds new app development features designed to simplify the integration of an event-driven architecture into brownfield deployments to gain new functionality around real-time and in-memory processing. “Stream processing” is about processing data in motion–users take action on Read More
Tag: deployments
Source: pbctoday.co.uk Many technology commentators have talked about data as the “new oil”. In the wake of fallout from the current epidemic, data might also come to be viewed as a utility – like electricity, water and broadband; a vital resource essential to shaping, supporting, securing and optimising, all life. Through the rapid growth of IoT deployments, organisations Read More
Source: zdnet.com The king of awe-inspiring viral videos, Boston Dynamics is continuing its push to commercialize its agile robot creations with a new pilot program at Ford. The car-maker will be leasing two robotic dogs, known as Spot, for its Van Dyke Transmission Plant. The dogs will be on something of a short leash, guided by handler Paula Read More
Source: insidebigdata.com There’s no doubt that artificial intelligence continues to be swiftly adopted by companies worldwide. In just the last few years, most companies that were evaluating or experimenting with AI are now using it in production deployments. When organizations adopt analytic technologies like AI and machine learning (ML), it naturally prompts them to start Read More
Source: enterprisetalk.com The study “Connected Everything: Taking the I Out of IoT,” was conducted across 200 enterprise executives in North America and Europe in several vertical industries already deploying IoT. The industries ranged from financial services to health care and hospitality. As per the report, most of the companies are focusing on the concerns and Read More
Source:theregister.co.uk QCon London Sam Newman, author of Building Microservices and Monolith to Microservices, told attendees at the QCon developer conference in London that “microservices should not be the default choice.” Microservices have become today’s equivalent of “nobody ever got fired for buying IBM”, a common catchphrase back in the ’80s, said Newman. “With half of all the clients I Read More
Source: indiatoday.in It is surprising how much can the world change in a few years. Today, machines can see (a field popularly known as Computer Vision), they can hear (Hi Alexa!) and understand our language (field called Natural Language Processing) to a good degree. And they are only going to get better from here. On Read More
Source: aiuniverse.xyz The deployment of machine learning models in production is failing to keep pace with the everyday operations of hyper-scalers. Those scaling and deployment gaps are being addressed through collaborations and a new batch of DevOps tools tuned to scaling machine learning deployments. The latest initiative aimed at expanding the MLOps ecosystem comes via Read More
Source: zdnet.com AI is advancing rapidly within the enterprise — by Gartner’s count, more than half of organizations already have at least one AI deployment in operation, and they’re planning to substantially accelerate their AI adoption within the next few years. At the same time, the organizations building and deploying these tools have yet to really grapple Read More
Source – investors.com loud computing leaders Amazon.com (AMZN), Microsoft (MSFT) and Google, along with internet giants, have the inside track in monetizing artificial intelligence technology, a Mizuho Securities report says, but enterprise software providers also will grab a piece of the action. At a basic level, artificial intelligence is the use of computer algorithms to attempt to replicate the human Read More