I am regularly asked to summarize my many posts. I thought it would be a good idea to publish on this blog, every Monday, some of the most relevant articles that I have already shared with you on my social networks.
Today I will share some of the most relevant articles about Artificial Intelligence and in what form you can find it in today’s life. I will also comment on the articles.
On Association of corporate council.com: https://www.acc.com/resource-library/top-ten-issues-liability-and-regulation-artificial-intelligence-ai-systems
Top Ten Issues on Liability and Regulation of Artificial Intelligence (AI) Systems.
– New Artificial Intelligence (AI) technology is being integrated into all industries.
– In-house counsel need to be aware of the gaps in regulation and law for these emerging technologies.
-In-house counsel need to be aware of the legal and ethical issues around the adoption of AI technology.
– Examine and research what type of insurance is available for your company with AI technology.
Have a read, this is a very food article with concrete examples of how AI can benefit you in your legal practice.
On pubmed.gov: https://pubmed.ncbi.nlm.nih.gov/34648981/
Artificial Intelligence Applications in Pediatric Brain Tumor Imaging: A Systematic Review. Artificial intelligence (AI) has facilitated the analysis of medical imaging given increased computational capacity and medical data availability in recent years. Although many applications for AI in the imaging of brain tumors have been proposed, their potential clinical impact remains to be explored. A systematic review was performed to examine the role of AI in the analysis of pediatric brain tumor imaging. This is very focused for MDs in general but it is very interesting to see how AI can help in the health sector.
On Att.yahoo.com: https://currently.att.yahoo.com/att/artificial-intelligence-operations-aiops-market-163000895.html
Artificial Intelligence for IT Operations (AIOps) Market is predicted to accrue Earnings worth 17.2 USD Billion by 2026 – Zion Market Research – Zion Market Research. Zion Market Research has published a new research report titled “Artificial Intelligence For IT Operations (AIOps) Market – By Vertical (BFSI, IT & Telecom, Healthcare & Life Sciences, Media & Entertainment, Retail & Ecommerce, Government & Public Sector, And Energy & Utilities), By Application (Infrastructure Management, Network & Security Management, Application Performance Analysis, And Real-Time Analytics), And By Region – Global Industry Perspective, Comprehensive Analysis, And Forecast, 2020 – 2026” According to the report, The global Artificial Intelligence for IT Operations (AIOps) market, which was estimated at about 4.03 USD Billion in 2019 and is predicted to accrue earnings worth 17.2 USD Billion by 2026, is set to record a CAGR of nearly over 32% during 2020-2026. A great report to read to understand the market for AIOps.
On NVIDIA.com: https://www.nvidia.com/en-gb/deep-learning-ai/resources/deep-learning-retail-primer-ai/
What Are The Trends Driving Change in Retail Today? Change in the retail industry has been accelerated by new competitors and the massive global digital transformation of the last few years. Underlying this are two trends driven by technology. Please register to download Artificial Intelligence and Deep Learning in Retail Primer to learn more. You will need to register to download this article but it is worth it!
On directive.com: https://www.directive.com/blog/artificial-intelligence-has-negatives-and-positives.html
Artificial Intelligence Has Negatives and Positives. Artificial intelligence has always been an intriguing concept, from the works of Isaac Asimov to the initial work at Dartmouth College in the 1950s. Nowadays, many of the technologies that we rely on each day incorporate some version of artificial intelligence… and more progress is made each day. Of course, for all its benefits, artificial intelligence can also create some problems for businesses. I have always liked to have articles treat about positive and negative angles on any subjects. This article is genuine and the author explains what he sees as positives and negatives.
On Alaskanewssource.com: https://www.alaskasnewssource.com/prnewswire/2021/10/14/deloitte-report-reveals-technology-divide-among-mid-market-private-companies/
Deloitte Launches CognitiveSpark™ for Marketing Artificial Intelligence Solution. A recent Deloitte survey of biopharma executives found that digital innovation is now a burning priority, with 77% of those surveyed saying their organization considers “digital innovation as a competitive differentiator.” And in the same survey, 86% of commercial leaders pointed to “health care provider (HCP)/patient engagement as the top use case likely to be impacted by digital innovation.” Digital transformation and ultimately how that transformation helps patients, is a key imperative for biopharma Clients. Clients want a solution that helps them identify new opportunities, personalize content to each customer’s journey, and create new insights and modeling to improve customer targeting and experiences. Most importantly, they want to better understand the latent drivers of customer behavior to deliver the information customers need to manage their health — all while preserving transparency and trust.
On ASME.org: https://www.asme.org/topics-resources/content/6-ai-and-machine-learning-tools-for-engineers
6 AI and Machine Learning Tools for Engineers. Mechanical engineers are familiar with artificial intelligence through their use of CAD on generative design projects and simulation software in their work with computational fluid dynamics.
But AI, machine learning, and other related digital technologies are quickly becoming an integral component in almost every area of engineering as companies automate manual processes and enable machines to perform tasks previously performed by humans.
Companies incorporating the technologies cover a wide range of industries, including aerospace, robotics, defense, manufacturing, power, autonomous vehicles, and construction, to name a few. And many of them are hungry for engineers familiar with or willing to learn different facets of AI in areas including design, analysis, data analytics, bioinspired systems, intelligent automation, fault estimation, material synthesis, and factory automation.