AIMResearch Releases Report On Responsible AI Adoption

Anew report released by AIMResearch analyses the current state of Responsible AI among Indian enterprises. The report, titled “State of Responsible AI in India” highlights the efforts made by organisations in India to ensure AI’s safe and responsible development and draws attention to areas that need improvement.

Read more: https://analyticsindiamag.com/aimresearch-releases-report-on-responsible-ai-adoption-in-indian-enterprises/

#ai #aimresearch

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Why Your Organization Is Struggling to Adopt AI (And How to Fix It)

Artificial intelligence (AI) offers a lot of promise today, but it’s still a bit of a black box for most people. There are many obstacles to adopting AI for today’s organizations, no matter your industry. Understanding what they are will help dispel some of the myths surrounding AI, its limits and potential, and risks to your people and business.

Over 73 % of organizations say that adoption is their biggest challenge with AI. In the same report, over 90% say they don’t have the people and processes to become the data-driven organization they need to be to adopt AI fully.

How can today’s organizations change the way they think and behave around AI when faced with such obstacles? Let’s take a look at four of the biggest challenges and how you can overcome them to deploy AI in your organization.

#ai #ai adoption #ai ethics #ai adoption challenges

AIMResearch Releases Report On Responsible AI Adoption

Anew report released by AIMResearch analyses the current state of Responsible AI among Indian enterprises. The report, titled “State of Responsible AI in India” highlights the efforts made by organisations in India to ensure AI’s safe and responsible development and draws attention to areas that need improvement.

Read more: https://analyticsindiamag.com/aimresearch-releases-report-on-responsible-ai-adoption-in-indian-enterprises/

#ai #aimresearch

Making Sales More Efficient: Lead Qualification Using AI

If you were to ask any organization today, you would learn that they are all becoming reliant on Artificial Intelligence Solutions and using AI to digitally transform in order to bring their organizations into the new age. AI is no longer a new concept, instead, with the technological advancements that are being made in the realm of AI, it has become a much-needed business facet.

AI has become easier to use and implement than ever before, and every business is applying AI solutions to their processes. Organizations have begun to base their digital transformation strategies around AI and the way in which they conduct their business. One of these business processes that AI has helped transform is lead qualifications.

#ai-solutions-development #artificial-intelligence #future-of-artificial-intellige #ai #ai-applications #ai-trends #future-of-ai #ai-revolution

This Week in AI | Rubik's Code

Every week we bring to you the best AI research papers, articles and videos that we have found interesting, cool or simply weird that week.

#ai #this week in ai #ai application #ai news #artificaial inteligance #artificial intelligence #artificial neural networks #deep learning #machine learning #this week in ai

This Week in AI - Issue #22 | Rubik's Code

Every week we bring to you the best AI research papers, articles and videos that we have found interesting, cool or simply weird that week.Have fun!

Research Papers

• Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
• Slowing Down the Weight Norm Increase in Momentum-based Optimizers
• The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps
• AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
• Coherent Reconstruction of Multiple Humans from a Single Image
• Variational Bayesian Monte Carlo with Noisy Likelihoods
• GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
• Are we done with ImageNet?
• How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds
• Background Modeling via Uncertainty Estimation for Weakly-supervised Action Localization
• The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps
• Image Deconvolution via Noise-Tolerant Self-Supervised Inversion
• Learning a Unified Sample Weighting Network for Object Detection

Articles

• Deepfake Detection Challenge Results: An open initiative to advance AI
• Slightly Unnerving AI Produces Human Faces Out of Totally Pixelated Photos
• NeoML Released as TensorFlow Alternative
• Google Meet takes on Zoom with AI-powered noise cancellation
• Open Compound Domain Adaptation
• Dense pose for animal classes with transfer learning
• 10 Ways Enterprises Are Getting Results From AI Strategies
• An understanding of AI’s limitations is starting to sink in
• Why we switched from Flask to FastAPI for production machine learning
• Simple Transformers
• The key differences between rule-based AI and machine learning
• Deep learning-based surrogate models outperform simulators and could hasten scientific discoveries
• HANDS-ON GUIDE TO OBJECT DETECTION USING YOLO
• Artificial neural networks that mimic the flexibility and computing power of the brain
• MIT researchers train AI to predict how humans paint works of art
• What Do Machine Learning Engineers Do Anyway?
• AI Is Amazing But Complicated, And We Don’t Necessarily Need To Plunge In Headfirst
• Deep learning networks track up to 100 animals simultaneously
• Is artificial intelligence changing art?

#ai #this week in ai #ai application #ai news #artificaial inteligance #artificial intelligence #artificial neural networks #deep learning #machine learning #this week in ai