On Thursday this digital workplace platform provider announced that it has joined forces with tech-giant Microsoft in the fast-growing artificial intelligence market. This deal will see Microsoft promote LiveTiles Bots as a solution that demystifies AI technology and can be quickly deployed within its Azure platform. Management has a bold ambition of securing a leadership position in the rapidly emerging AI industry in the future. Considering the size of the opportunity, I would watch this one very closely.
Flamingo AI Limited ASX:FGO
Flamingo initially launched in 2014 to considerable success when it helped the National Australia Bank onboard small to medium businesses. However, instead of focusing its initial pilot on one major client in Australia, Flamingo headed to the US and its huge, AI eager insurance market.
ASX:APX - APPEN LTD
Earlier this year this language data solutions and services company posted a 44% increase in half-year EBITDA to $12.8 million thanks partly to strong demand from machine learning and artificial intelligence customers. Recently the company bolstered its future growth prospects by acquiring Leapforce for $80 million. Management expects the addition of the specialist in search relevance to be at least 35% accretive to underlying earnings per share. Considering the strong growth expected in the artificial intelligence market, I feel Appen could be positioned to deliver above-average earnings growth for some time to come if it can keep ahead of its peers.
ASX:YOJ
How does the technology help?
The company believes that blockchain technology can deliver a cheaper, more efficient, transparent, and secure system to manage the enormous growth that has been forecast in global logistics over the next decade.
Pleasingly for shareholders, management thinks it is positioned perfectly to profit from this opportunity due to its early mover advantage, its unique artificial intelligence and blockchain backed supply chain technology and its team of in-house supply chain and blockchain experts based in the fast-growing Asian market.
also
ASX:OPN
OpenDNA’s proprietary AI engine uses Machine Learning, Natural Language Processing and Neural Networks, to generate deep real-time psychographic insights about a user’s behaviour. This allows businesses to better predict their customers’ needs and to potentially drive increased revenue. To individuals it paves the way to own their data and control their experiences across the internet making it more relevant and personalized.
ASX:ELS
The Omnisight sales team has secured significant and promising engagements with large Fleet Management (FMS) companies in the U.S., Israel and other geographies.
Elsight is expected to announce at least one strategic integration deal with a tier-one player in the autonomous vehicle and car aftermarket space during this first quarter of 2018.
The company estimates significant incomes from this product line, with early deals in H2 of 2018 to the tune of US$1 million, and with significant revenue growth in 2019 and beyond.
Neuromorphic computing is a branch of artificial intelligence (AI) that simulates the functionality of the human neuron. At BrainChip, we have developed a revolutionary spiking neural network (SNN) technology, a type of neuromorphic computing that learns autonomously, evolves and associates information just like the human brain.
BrainChip’s technology has been designed as a one-shot learning system. It recognizes patterns in milliseconds without having to be pre-programmed. It achieves this by learning from information, and then later recognizing what it has learned.
ASX:BRN
A Leader in Neuromorphic Computing
Neuromorphic computing is a branch of artificial intelligence (AI) that simulates the functionality of the human neuron. At BrainChip, we have developed a revolutionary spiking neural network (SNN) technology, a type of neuromorphic computing that learns autonomously, evolves and associates information just like the human brain.
BrainChip’s technology has been designed as a one-shot learning system. It recognizes patterns in milliseconds without having to be pre-programmed. It achieves this by learning from information, and then later recognizing what it has learned.
