2018 AI predictions: Summary of top AI experts’ predictions

Since the beginning of the year, PwC, CEO of pymetrics, Gil Press  published predictions on the direction AI will take. We read them all and couldn’t resist adding our predictions and categorizing the predictions:

Mega-trends that will shape AI in 2018

The news cycle is full of AI, research centers being opened, re-organizations, new research findings and tabloids peddling that robots will kill us all tomorrow. Reading a different type of news everyday, it is easy to lose track of what is really happening. What are the major trends? Read more

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Challenges of implementing an AI solution

Deloitte survey identifies top challenges by corporations applying AI in their businesses

Judging from the numbers above which are from Deloitte’s 2017 State of Cognitive survey, it seems that only a tiny minority (6%) of the corporations are having a smooth ride with AI. We found the survey results realistic and combined them with our experience with companies that reached out to us regarding advice on their AI solutions. We think there are 2 classes of issues

Issues with building own AI solutions

Lack of business alignment

Identifying business cases for AI applications requires managers to have a deep understanding of current AI technologies, their limitations and the current processes of their division. As with any nascent field, lack of AI know-how in management is hindering adoption in most cases. Read more

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Limitations of AI: Data hungry, opaque, brittle, self-reliant systems

Though we preach that AI investments can transform businesses, we are also not naive in our beliefs in AI’s current capabilities. Most modern AI systems suffer from common issues highlighted by respectable publications that we will collect here:

Reliance on large volumes of data

Impacts deep learning algorithms. Sadly, even when data is available, it’s likely to suffer from bias.

Research on one shot learning is an attempt to solve this problem.

Reliance on labeled data

Limits supervised learning algorithms to relatively few problems where labeled data is either available or where the solution is so valuable that companies invest in preparing semi-manually labeled data. Read more

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Veritone enabling accessible & actionable AI: Interview with CEO Chad Steelberg

First of all, we are grateful to Chad for his time. At appliedAI, we help companies identify how AI can help their business. As the leader of successful tech companies for more than 25 years and as the co-founder & CEO of Veritone, one of the very few publicly listed companies focused on AI, Chad is one of the most knowledgeable people on the subject.

If I had to summarize your business in a sentence, I would call it a scalable AI powered audio/video analysis tool. Is that a good description?

Veritone goes beyond audio and video analysis utilizing AI because, unlike other technology on the market, it makes artificial intelligence accessible and actionable through a single SaaS-based and can be deployed in virtually any environment, with the demonstrated ability to create opportunity and solve problems.
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20 RPA Conferences for Business Leaders in 2018 [Sortable]

You want to learn more about how RPA can help your business. You want to hear real-world examples, leverage experience of experts and understand your different options regarding RPA. We have plenty for you to learn from such as comprehensive RPA guide, checklist for RPA tool selection or RPA implementation best practices but conferences are also a great place to learn and network.

We prepared this sortable comprehensive list so you can easily sort by city or date or other parameters to find the right conference for your interest. Read more

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