The AI Eye: As the Year Ends - #AI Trends for 2019
Global AI Market Projected to Reach $300.26 Billion by 2026 at a CAGR of 38.8%
Point Roberts, WA and Vancouver, BC - December 28, 2018 (Investorideas.com Newswire) Investorideas.com (www.investorideas.com), a global investor news source covering Artificial Intelligence (AI), in partnership with Gopher Protocol's (OTCQB: GOPH). Avant!, the latest innovation in machine learning, brings you today's edition of The AI Eye - Watching stock news, deal tracker and advancements in artificial intelligence.
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The #AI Eye: As the Year Ends - #AI Trends for 2019
Today's Column - The AI Eye- Watching stock news, deal tracker and advancements in artificial intelligence
Global AI Market Projected to Reach $300.26 Billion by 2026 at a CAGR of 38.8%
A report from Research and Markets indicates that the global artificial intelligence market accounted for $15.7 billion USD in 2017 and is projected to reach $300.26 billion USD by 2026. This represents a compound annual growth rate (CAGR) of 38.8 percent in the forecast period. The report lists the growing demand for intelligent virtual assistants, the enhancement of operational efficiency in manufacturing and the implementation of cloud-based apps and services as key driver in the industry. The irregularity of AI algorithms is cited as a potential drawback to the growth of the sector, however.
As the Year Ends Here Are Some Thoughts on AI Trends for 2019
With 2018 drawing to a close, an article from Analytics Vidhya quotes several industry experts on trends they forecast for the coming year in artificial intelligence.
On Natural Language Processing (NLP), the article quotes Sebastian Ruder, a research scientist at text analytics startup AYLIEN. Ruder said:
"Pretrained language model embeddings will become ubiquitous; it will be rare to have a state-of-the-art model that is not using them"
"We'll see pretrained representations that can encode specialized information which is complementary to language model embeddings. We will be able to combine different types of pretrained representations depending on the requirements of the task"
"We'll see more work on multilingual applications and cross-lingual models. In particular, building on cross-lingual word embeddings, we will see the emergence of deep pretrained cross-lingual representations"
On Machine Learning (ML), data scientist for H2O.ai Marios Michailidis forecasts the following trends:
- Providing smart visualisations and insights to help describe and understand the data
2. Finding/building/extracting better features for a given dataset
3. Building more powerful/smarter predictive models Bridging the gap between black box modelling and productionisation of these models with machine learning interpretability (mli)
5. Facilitating the productionisation of these models
And from The Enterprisers Project, a similar forecast dispels some of the fear that AI will replace human workers. While conceding that AI implementation will change jobs in no small way, CEO of Awake Security, Rahul Kashyap said:
"AI isn't a silver bullet for closing the skills gap, but it is an important part of the solution to some of our most complex and resource-intensive challenges. I expect to see organizations that embrace this balance between human and machine - either internally or as part of their customer-facing products - achieve the most success with AI in the year ahead."
Sam Mowers, Investorideas.com
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