Forbes Opinion: 13 Industries Soon To Be Revolutionized By Artificial Intelligence

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Forbes Opinion: 13 Industries Soon To Be Revolutionized By Artificial Intelligence

July 31, 2019 by 2012pharmaceutical

Forbes Opinion: 13 Industries Soon To Be Revolutionized By Artificial Intelligence

Reporter: Aviva Lev-Ari, PhD, RN

3.4.15

3.4.15 Forbes Opinion: 13 Industries Soon To Be Revolutionized By Artificial Intelligence, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 3: AI in Medicine

UPDATED on 11/18/2019

Amazon Saw 15-Fold Jump In Forecast Accuracy With Deep Learning And Other AI Stats

Gil PressContributor

Enterprise & Cloud

https://www.forbes.com/sites/gilpress/2019/11/14/amazon-saw-15-fold-jump-in-forecast-accuracy-with-deep-learning-and-other-ai-stats/#2a03ca8a748f

China Leads in Highly Cited AI Papers

by GilPress

China AI Development Report 2018 (p. 20f.): Using the Web of Science database, this report puts China in the lead ahead of the US and any European country, both for the decade between 2007 and 2017 and in terms of annual output in 2017. Aggregating all European countries out of the top 10 from 2007 to 2017 (the UK, Germany, France, Italy, Spain), they almost catch up to the US and China, reaching 2,096 highly cited papers, compared to 2,241 and 2,349, respectively. The same applies to “hot papers.” Unfortunately, I do not know how they operationalized either “highly cited” or “hot.” Eyeballing combined European output in 2017 alone; China is still in the lead with an increasingly large margin, ahead of the US and Europe, which seem to be roughly tied.

Source: Stefan Torges

2020 Predictions for the Internet of Things (IoT)

by GilPress

IDC 2020 predictions for the Internet of Things (IoT):

In 2020, 90% of organizations will have determined key performance indicators to measure the success of their IoT projects.

By 2021, 75% of organizations embarking on an IoT project will work with a systems integrator to strategize, plan, deploy, and/or manage the initiative.

By 2022, 70% of new enterprise IoT applications built on IoT platforms will leverage container deployment.

By 2023, 70% of enterprises will run varying levels of data processing at the IoT edge. In tandem, organizations will spend over $16 billion on IoT edge infrastructure in that time.

By 2023, 20% of cybersecurity incidents will stem from Smart City IoT device deployments, forcing double-digit increases in cybersecurity software and staff training budgets.

To lessen critical equipment failures, by 2024, 40% of manufacturers will use field asset IoT data to intelligently diagnose issues and resolve autonomously, improving unplanned downtime by 25%.

By 2023, 70% of IoT deployment will include AI solutions for autonomous or edge decision making, supporting organizations’ operational and strategic agendas.

By 2025, there will be 79ZB of data created by billions of IoT devices, causing organizations to reevaluate their data governance, retention, and usage policies.

By 2025, 60% of manufacturers will use IoT platforms with digital innovation platforms to operate networks of asset, product, and process digital twins for a 25% reduction in cost of quality.

By 2023, enterprises will struggle to manage all the different access types used to connect their IoT endpoints, with 75% adopting more than one connectivity type.

GilPress | November 12, 2019 at 9:15 am | Tags: 2020 predictions, IDC | Categories: Data growth, Internet of Things | URL: https://wp.me/p1AMkl-2J2

13 Industries Soon To Be Revolutionized By Artificial Intelligence

7:00 am

30,112 views|Jan 16, 2019,

Post written by

Expert Panel, Forbes Technology Council

Successful CIOs, CTOs & executives from Forbes Technology Council offer firsthand insights on tech & business.

Artificial intelligence (AI) and machine learning (ML) have a rapidly growing presence in today’s world, with applications ranging from heavy industry to education. From streamlining operations to informing better decision making, it has become clear that this technology has the potential to truly revolutionize how the everyday world works.

While AI and ML can be applied to nearly every sector, once the technology advances enough, there are many fields that are either reaping the benefits of AI right now or that soon will be. According to a panel of Forbes Technology Council members, here are 13 industries that will soon be revolutionized by AI.

1. Cybersecurity

The enterprise attack surface is massive. There are countless permutations and combinations in which the adversary can get in. It is exceptionally hard for organizations to analyze and improve their security posture. With its power to bring complex reasoning and self-learning in an automated fashion at massive scale, AI will be a game-changer in how we improve our cyber-resilience. – Gaurav Banga, Balbix

2. DevOps And Cloud Hosting

AI is starting to make its mark in DevOps. Currently, Amazon has rolled out machine learning for their Elastic Compute Cloud (EC2) instances, which applies to predictive instance autoscaling. Other cloud vendors are following suit with similar technology. Within the next 10 years, I see the same being applied to bigger things like code deployments and infrastructure provisioning. – Rick Conlee, Meticulosity

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3. Manufacturing

Artificial intelligence in the world of manufacturing has limitless potential. From preventative maintenance to the automation of human tasks, AI will enable more efficient work that’s less prone to error and has higher quality. Initiatives from tech giants like Microsoft (AI for Accessibility) and smaller leading companies like AtBot will revolutionize AI for all information workers. – Dan Sonneborn, Aerie Consulting

4. Healthcare

Healthcare is only starting on its AI journey. Computer vision against X-rays shows promises to help pinpoint diseases; natural language processing (NLP) shows promises in drug safety; ML shows promises to find patterns within a population. Once we reach a point of true information interoperability, supporting the secure exchange of health data, all these promises will join forces to become breakthroughs for the patients. – Florian Quarré, Ciox Health

5. Construction

The construction industry has long been underserved by the technology and software sector. Many new startups like ours are using AI in a big way to slingshot the construction industry into tomorrow. Bringing AI and machine learning into this industry will make the construction process faster, safer and more cost effective by reducing human error and better utilizing big data. – Karuna Ammireddy, Pype

6. Senior Care

With the aging Baby Boomer generation, we need solutions that provide continued efficiency for seniors to make them feel more confident about living alone or receiving support from their caregivers. While AI may not be able to understand the cultural, physical and emotional needs of people, it can provide updates to many outdated resources. – Abdullah Snobar, DMZ at Ryerson University

7. Retail

The retail industry will be one that is most impacted by AI. Its global spending is expected to grow to $7.3 billion per year by 2022. Retailers will use augmented and virtual reality functionality in advertising. Immersive product catalog visualization will grow dramatically, and shoppers will experience products before buying. It’s predicted that by 2020, chatbots will power 85% of all customer service interactions. – Nacho De Marco, BairesDev

8. Business Intelligence

Enterprises are overwhelmed by the volume of data generated by their customers, tools and processes. They are finding traditional business intelligence tools are failing. Spreadsheets and dashboards will be replaced by AI-powered tools that explore data, find insights and make recommendations automatically. These tools will change the way companies use data and make decisions. – Sean Byrnes, Outlier AI

9. City Planning

Infrastructure planning and development will get a big boost from AI. So much data can be processed and organized to help understand urban areas and how they are changing. AI data can also provide a different way of looking at growth and development, utility use, safety, and more. – Chalmers Brown, Due

10. Mental Health Diagnosis And Treatment

We are starting to see an increase in mental health issues among young people. Whether it is device addiction or withdrawal from the physical world, some are starting to isolate themselves online. This can ultimately lead to a breakdown of social cohesion. I see potential in using AI to identify people at risk and recommend therapy before they fall into a hole of depression and hopelessness. – Chris Kirby, Retired

11. Education

The basic concepts of education have not changed much across generations, and it is quite obvious that change is needed. The most pressing question is what that change should be and how to achieve it. Harnessing AI to create a personalized, dynamic and effective learning path for any subject can prove to be an amazing enabler for such a revolution. – Ofer Garnett, YouAPPi Inc.

12. Fashion

Using AI to learn about buying patterns of users across the world and predict fashion trends would be a great implementation. Having a great recommendation engine backed by AI would help users tremendously. – Amit Ojha, Diamond Foundry

13. Supply Chain Management

AI can account for more factors and complicated nonlinear and correlated dependencies of data much better than a human can do. AI can predict the future without human bias, but with a proper risk assessment, and find optimal decisions even under asymmetric cost profile. This leads to improvements in every decision. – Michael Feindt, Blue Yonder

Forbes Technology Council is an invitation-only, fee-based organization comprised of leading CIOs, CTOs and technology executives. Find out if you qualify at forbestechco…Read More