Following the great minds of machine learning can help you discover new things and deepen your knowledge. It's fascinating to learn from the best scientists. Among them, you will find influencers, teachers, business leaders, and even many more. Undeniably their expertise can help to change the world and make it a better place. On this list, you will find not only influencers but also renowned personalities from the world of Data Science.

Mastering Voice Technologies in Healthcare with Rupal Patel, Founder and CEO at VocaliD was automatically transcribed by Sonix with the latest audio-to-text algorithms. This transcript may contain errors. Sonix is the best audio automated transcription service in 2020. Our automated transcription algorithms works with many of the popular audio file formats. Welcome to the Outcomes Rocket podcast, where we inspire collaborative thinking, improved outcomes and business success with today's most successful and inspiring health care leaders and influencers. Saul Marquez: Welcome back to the podcast, Saul Marquez here, and today I have the privilege of hosting Dr. Rupal Patel. She is the Founder and CEO of VocaliD, a voice tech company that provides AI-generated voices with personality. VocaliD's Award winning technology leverages the latest advances in machine learning, signal processing and voice analysis, along with the company's crowdsourced voice bank to create inclusive, diverse and brand aligned voices, organizations and individuals with special needs. I know I hate that voice, that robotic voice, when you dial a number or you try to connect here your physician's office, or even if you're doing a training video, it's annoying and it feels like it lacks effort. Rupal and her team didn't like it either, and they felt there was an opportunity to get beyond just content and focus on delivery and the technologies here. We just have to create the awareness. She began her career as a speech clinician where she became fascinated with the potential of using speech tech and technologies for assistive communications, which then led to a doctorate in speech science at her Interdisciplinary Research applies empirical evidence about speech motor control to develop novel communication technologies. She's currently on leave from Northeastern University, where she's a Tenured Professor, and also she does computer science in the Department of Communication of Sciences and Disordered. She's been named the Top 11 Visionaries in Voice in 2019 by a Voicebot.ai

Artificial Intelligence (AI) represents a drastic change in the technological evolution. At the moment, this technology is used in every field of science. We have seen the use of AI in various arenas such as autonomous vehicles, face recognition and robotics, among others. Similarly, it is also embedded in the medical field in areas such as disease prediction using representational images, i.e. prediction of breast cancer using CNN (Convolutional Neural Networks) in a deep learning model. But currently, we are moving a step forward into the future in order to find the risk of premature death in individuals with underlying chronic diseases.

Xiao-Li Meng, the Whipple V. N. Jones Professor of Statistics, and the Founding Editor-in-Chief of Harvard Data Science Review, is well known for his depth and breadth in research, his innovation and passion in pedagogy, his vision and effectiveness in administration, as well as for his engaging and entertaining style as a speaker and writer. Meng was named the best statistician under the age of 40 by COPSS (Committee of Presidents of Statistical Societies) in 2001, and he is the recipient of numerous awards and honors for his more than 150 publications in at least a dozen theoretical and methodological areas, as well as in areas of pedagogy and professional development. He has delivered more than 400 research presentations and public speeches on these topics, and he is the author of "The XL-Files," a thought-provoking and entertaining column in the IMS (Institute of Mathematical Statistics) Bulletin. His interests range from the theoretical foundations of statistical inferences (e.g., the interplay among Bayesian, Fiducial, and frequentist perspectives; frameworks for multi-source, multi-phase and multi- resolution inferences) to statistical methods and computation (e.g., posterior predictive p-value; EM algorithm; Markov chain Monte Carlo; bridge and path sampling) to applications in natural, social, and medical sciences and engineering (e.g., complex statistical modeling in astronomy and astrophysics, assessing disparity in mental health services, and quantifying statistical information in genetic studies). Meng received his BS in mathematics from Fudan University in 1982 and his PhD in statistics from Harvard in 1990.

Jack Schofield, the Guardian's former computer editor and author of its technology advice column, Ask Jack, for almost 20 years, has died aged 72. Schofield was taken to hospital following a heart attack on Friday night and died on Tuesday afternoon. The Guardian's editor-in-chief, Katharine Viner, said: "Jack Schofield was one of the first true technology and computing experts in British journalism. In more than 35 years writing for the Guardian, he saw (and foresaw) the rise of personal computers, the advent of the internet, Google, smartphones and much more. His Ask Jack column was an essential and expert guide for generations of Guardian readers. Our thoughts are with Jack's family and friends at this sad time."

Welltok, a consumer health activation company, is proudly announcing it won an Artificial Intelligence Excellence Award for its AI-powered chatbot. The awards honor achievements in artificial intelligence (AI) and recognize organizations, products and people who bring AI to life and apply it to solve real problems. Welltok's winning AI solution, Concierge, is a chatbot that helps consumers navigate complicated benefits and health plan information in a conversational, simplified way. Concierge delivers thousands of conversational responses about benefits and healthcare costs for Welltok's clients and consumers. This reduces call volume to health plans, providers and employer benefit managers, and delivers an on-demand personalized experience.

The Business Intelligence Group announced that Aarki was named a winner in its Artificial Intelligence Excellence Awards program. Aarki is a leading AI-enabled mobile marketing platform that helps companies grow and re-engage their mobile users, using machine learning (MI), big data, and engaging creative. Aarki is recognized for its advancement in prediction capabilities in mobile advertising. With their Pointwise Mutual Information (PMI) model, Aarki is able to effectively model Aarki-specific user conversion funnels while pre-training on non-attributed omnichannel event data. This allows for better calculation of the users' purchase probability and thus improving the return on investment (ROI) prediction and the install probability to decrease the cost per install (CPI).

As media reports about shortages of ventilators and hospital beds show, the COVID-19 pandemic will most probably lead to rationing of care. In this opinion piece, Gregory P. Shea, Krzysztof "Kris" Laudanski and Cassie A. Solomon explore the likely impact of care rationing in the absence of the best possible information on decision quality, patients and care providers. They also consider the potential benefits of artificial intelligence (AI) in guiding decisions about how care can be rationed. Shea and Solomon are co-authors of Leading Successful Change, published by Wharton School Press. Laudanski is a professor of anesthesiology and critical care at the University of Pennsylvania. Now how many steps behind are we?

Avi Ben Ezra is the CTO of SnatchBot, one of the most popular platforms for creating chatbots. Based on his experience and over 40 million interactions carried out by SnatchBot bots, he believes all good websites need a chatbot. I believe that conversational user interfaces are the future of websites and I'm happy to see them quickly taking over the web. They provide excellent convenience and guidance for website visitors, who no longer need to dial call centers, submit support tickets or sift through knowledge bases in order to get the answers to their questions. With conversational interfaces, they can now quickly get in touch with a brand and find precisely what they need.

Our programmatic advertising platform, Aarki Encore, uses proprietary machine learning algorithms to target users valuable to the advertiser. Tied with its proprietary creative suite, Aarki Studio, its creative team is able to produce highly personalized HTML5 ads that dynamically optimize messaging to an individual user at ad serving time. Both Aarki Encore and Aarki Studio are integrated with AI-powered media optimization to ensure advertising is not only personalized but also optimized for efficiency at scale.