Tweets

  1. For hospitals, clinics and other providers, applications address today’s challenges with data-driven insights. https://www.cio.com/article/3596792/ai-conversations-enabling-smarter-more-efficient-healthcare.html 

  2. What a Biden-Harris administration means for https://fortune.com/2020/11/10/biden-harris-administation-artificial-intelligence/ 

  3. In the age of (), the forward-thinking bankers and leaders naturally want to explore how AI can help banks significantly increase the accuracy of Non-Performing Loan prediction. https://www.graphen.ai/blog/output/Non-Performing-Loan-Prediction-in-the-age-of-Artificial-Intelligence.html 

  4. With the release of Ardi 1.0, Graphen is ready to bring a fundamental advancement to the space to help create advanced, scalable AI solutions. https://www.graphen.ai/blog/output/introducing-Graphen-AI-Platform-Ardi1.0.html 

  5. Broad-based genetic testing could identify inherited genetic mutations and accelerate therapies for patients with cancer. https://healthitanalytics.com/news/genetic-testing-can-lead-to-precision-medicine-therapies-for-cancer 

  6. What critical innovations can change the balance in , providing those of us responsible for defending our organizations with more capabilities against those who would do us harm? https://www.securityroundtable.org/2-innovations-that-can-tip-the-balance-in-cybersecurity/ 

  7. What is an artificial neural network? https://www.fierceelectronics.com/electronics/what-artificial-neural-network 

  8. systems can unfairly penalize certain segments of the population—especially women and minorities. Researchers and tech companies are figuring out how to address that.https://www.wsj.com/articles/how-to-make-artificial-intelligence-less-biased-11604415654 

  9. Being able to reduce false positives would give financial institutions time and empower their human resources to focus on catching actual money-laundering criminals. http://www.graphen.ai/blog/output/Anti-Money-Laundering-in-the-Artificial-Intelligence-Era.html 

  10. Researchers at the University of Zurich are trying to find out by using “” machine intelligence to identify bias in news coverage from across the ideological spectrum. https://blogs.thomsonreuters.com/answerson/using-ai-identify-fake-news/ 

  11. By enhancing 's ability to analyze and learn based on data sets, quantum computing will eliminate the main concerns about data quality and analysis accuracy.https://www.forbes.com/sites/forbesbusinessdevelopmentcouncil/2020/10/27/how-can-ai-and-quantum-computers-work-together/#69a07ff06ad1 

  12. 2021 will hold more progress toward trusted data for . The time is now for AI to shine. https://www.zdnet.com/article/2021-is-the-time-for-ai-to-shine/ 

  13. Below, 12 members of Forbes Technology Council weigh in on the skills that tech teams should prioritize to remain relevant as continues to revolutionize the marketplace. https://www.forbes.com/sites/forbestechcouncil/2020/10/27/12-skills-tech-teams-will-need-to-cover-as-ai-use-expands/#2c5f8aa63bcc 

  14. Financial institutions are exploring many avenues to overcome these stumbling blocks, but few are as promising as () and (). https://gulfnews.com/business/banking/how-ai-and-machine-learning-can-turn-the-tide-of-fraud-1.1603182642958 

  15. algorithms are useful for collecting, analyzing and integrating data for large organizations. They can be implemented in all elements of big data operation, including data labeling and segmentation, data analytics and scenario simulation.https://www.forbes.com/sites/forbestechcouncil/2020/10/20/how-is-big-data-analytics-using-machine-learning/#6bdf746a71d2 

  16. With spending projected to hit $97.9B by 2023, we’re at a pivotal moment in establishing the precedent for future innovations. https://insidebigdata.com/2020/10/18/the-secret-sauce-for-successful-ai-humans/ 

  17. According to McKinsey’s 2019 global AI survey, although adoption is increasing rapidly, overseeing and mitigating its risks remain unresolved and urgent tasks. https://sloanreview.mit.edu/article/why-your-board-needs-a-plan-for-ai-oversight/ 

  18. CIOs and IT leaders need to know in reasonable depth to understand its pragmatic adoption. Otherwise, you may either overestimate or underestimate AI’s impact. https://enterprisersproject.com/article/2020/10/artificial-intelligence-ai-9-realities-cio 

  19. With the release of Ardi 1.0, Graphen is ready to bring a fundamental advancement to the space to help create advanced, scalable AI solutions.http://www.graphen.ai/blog/output/introducing-Graphen-AI-Platform-Ardi1.0.html 

  20. Banks need to use , for corporate lending. https://www.business-standard.com/article/economy-policy/banks-need-to-use-ai-machine-learning-for-corporate-lending-cea-120101501484_1.html