Estimated reading time: 4 minutes.
Continuing our series on the top content that our visitors have found useful, here is a list of the top AI, ML and NLP content that consistently ranks well in search and on our website.
- Four ways Intelligent Automation can accelerate value in the Insurance enterprise. Technology roadmaps are being rejuvenated in the Insurance enterprise but not all are very clear on how to begin with AI. This post describes four quick ways to evaluate implementation and adoption of AI in your Insurance enterprise.
- 6 AI Trends in Healthcare for 2021 and Beyond. An early adopter of AI and ML, Healthcare saw huge uptick in adoption of this new technology during the pandemic. This post is our take on the six key trends for AI in Healthcare.
- How Emerging Technology is Revolutionizing Medical Records and Patient Care. Compliance and interoperability of EHR and EMR systems and linking them to better patient care is a top priority for many healthcare IT departments. This post shows how AI and ML are offering solutions for resolving this thorny challenge.
- Artificial Intelligence and Machine Learning in the Healthcare Industry. Get a quick low down of the key AI and ML use cases in Healthcare and Life Sciences.
- How Fintech is Disrupting Traditional Banking and Trends for 2021. As digital adoption reaches saturation levels in western countries, the banking industry is rapidly adapting. This post shows how new technology is disrupting traditional banking for the better.
- How AI and ML are changing the insurance industry for the better. A slow adopter of technology, the insurance industry is now quickly realizing its tangible benefits and the perils of being left behind should they choose to continue on the same path as the past.
- The pandemic gives Prescriptive Analytics a shot in the arm. AI and ML have improved analytics in several orders of magnitude. This post shows specific use cases of prescriptive analytics during the pandemic.
- AI spells better times ahead for the subject matter experts. Will human contribution end once AI algorithms take over? Far from it. This post shows how SMEs are they brains behind AI algorithms of today.
- Julia vs Python: Which is better for Machine Learning? A hands down primer and comparison between Python and Julia for working with machine learning algorithms.
- Why Machine Learning is seen as Future of Banking and Finance. Bad decision making costs organization in terms of time, profitability and reputation. However, the real cost of bad decisions is an opportunity to delight customers. Thanks to ML, organizations are now able to make better business decisions and more intelligent courses of action with minimal human intervention.
- How Emerging Technology is Revolutionizing Medical Records and Patient Care. Healthcare organizations are discovering how EMR/EHR can help them overcome one of the most significant barriers to reduce medical errors.
- A Modern Hands-On Approach to Sentiment Analysis. Notoriously difficult to get the right results, sentiment analysis has been the dark horse of the machine learning world for a while now. However, new approaches and advancements may finally help sentiment analysis deliver tangible results.
- 6 Deep Learning Applications in NLP and their Current State. In this post we list the top use cases for NLP and how they are progressing.
- GrowthSimple drives conversion, retention and upsell for e-commerce companies using AI and ML. In this case study, GrowthSimple and Excellarate develop an outcome driven AI engine for ecommerce and online retail companies.
- Excellarate Helps A Data Analytics And Insights Company Forge A Cognitive Decision-Making Platform. Excellarate helps a data analytics company leverage AI, ML and NLP to build and drive a cognitive decision making platform.
- Real-Time With AI – The Convergence Of Big Data And AI. In this webinar, Colin MacNaughton discusses real reference architectures and reviews new techniques that make AI real time.
- Machine Learning Vs. Deep Learning – An Example Implementation. With frameworks such as Caffe, TensorFlow, Theano, Keras, etc., choosing the right platform and the design to build your Deep Learning architecture is important. However, knowing how Deep Neural Networks work can potentially unleash the true power behind this melange of science and technology.
- 9 Technology IT Trends and Predictions for 2021. In this whitepaper we discuss key AI and ML technology trends among others.
- ZipChat E4: AI & Data After COVID-19. Experts from Kungfu.ai and Excellarate to discuss how data preparedness can lead to an AI strategy that leads everyone into the new world that awaits us.
- ZipRadio Ep.14 – Conversational AI in Retail Banking and Investing. In this podcast episode, we talk to Jarrett Miller, Director of North American Partnerships at Soul Machines about the applications of a digital person in the retail banking and investing space.
- ZipRadio Ep.7 – Tech Trends & Predictions 2021: AI & ML. In this episode, we bring in a seasoned AI professional as a guest along with our CTO, Vinayak Joglekar, to unravel the advancements in the implementation of AI and ML such as AI democritization, reinforced learning and dealing with unstructured data.
