Podcasts about converseon

Robin Gandhi is the Senior Vice President of Product Management and Payments at TripActions. He leads the product, engineering, design, and operations efforts for TripActions' Liquid offering, the next-generation spend management solution. Prior to TripActions, Robin headed Adyen's global issuing offering as well as acquiring and partnerships for North America, working with the global card schemes, banks, financial institutions, and third-party partners that make omnichannel commerce possible for their merchants across the globe. He has a strong payments background, having come to Adyen from Digital River World Payments. In addition, Robin has more than 10 years in management consulting, having spent time at Accenture, Mitchell Madison Group, and also founding his own firm, Broadroots Consulting, which was acquired by the New York-based agency, Converseon. Robin holds an MBA from the top-ranked INSEAD business school in Fontainebleau, France. SPONSORED BY TACEN https://www.tacen.com/

Philip Resnik, PhD, returns to the Psychcast, this time with his research partner and wife, Rebecca Resnik, PsyD, to discuss the interface between language, psychiatry, psychology, and health. Dr. Philip Resnik appeared on the show previously to discuss artificial intelligence, natural language processing, and mental illness. He is a professor in the department of linguistics at the University of Maryland, College Park, and has a joint appointment with the university’s Institute for Advanced Computer Studies. Dr. Philip Resnik has disclosed being an adviser for Converseon, a social media analysis firm; FiscalNote, a government relationship management platform; and SoloSegment, which specializes in enterprise website optimization. Some of the work Dr. Philip Resnik discusses has been supported by an Amazon AWS Machine Learning Research Award. Dr. Rebecca Resnik is a licensed psychologist in private practice who specializes in neuropsychological assessment. In 2014, she served as cofounder of the Computational Linguistics and Clinical Psychology workshop at the North American Association for Computational Linguistics. She continues to serve as a workshop organizer and clinical consultant to the cross-disciplinary community. She has no disclosures. Dr. Norris disclosed having no conflicts of interest. Take-home points Dr. Rebecca Resnik and Dr. Philip Resnik are interested in finding measurable, observable features to apply to the assessment of psychological and psychiatric diagnoses. They point out that finding an objective measure is essential for scaling up mental health evaluations and treatment. Natural language processing (NLP) is focused on analyzing language content. NLP technology has generated tools such as Siri, Alexa, and Google Translate, and NLP allows computers to do things more intelligently with human language. Individuals are using machine learning and NLP to analyze language data sets to evaluate diagnostic criteria. The goal is to create or use language sets that can be analyzed outside of the clinic. Dr. Rebecca Resnik imagines a world where a patient gives a “language sample” to an app or an avatar that would be evaluated by NLP that would, in turn, offer some overarching hypotheses about the person. So much of evaluations is trying to home in on the correct signal, explicit and implicit, from the patient. In addition, neuropsychiatric tests/scales are standardized against a limited scope of the population, so NLP would be matched to the individual. Dr. Philip Resnik looks at signals in text and speech content, acoustics, microexpressions, and even biometric data. Machine learning can process and distill a huge amount of data with various signals more easily than any human. Dr. Rebecca Resnik revisits the idea of clinical white space, which is the “space” or the time between clinical encounters, and this is where decompensation and high-risk suicidal behaviors occur. She suggests that NLP software could be used to fill this white space by using apps to collect text samples from patients, and the software would analyze the samples and warn of patients who are at risk of decompensation or suicide. If clinicians were to use text or speech samples from people’s smart technology, we could assess an individual's risk in the moment and use nudge-type interventions to prevent suicide. Finally, Dr. Philip Resnik emphasizes that there are technologists who have the skills and technology that is on the verge of helping clinicians, but the key to progress is collaborating with clinicians. References Resnik P et al. J Analytical Psychol. 2020 Sep 10. doi: 10.111/sltb.12674. Coppersmith G et al. Biomed Inform Insights. 2018;10:1178222618792860. Zirikly A et al. CLPsych 2019 shared task: Predicting the degree of suicide risk in Reddit posts. Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology. 2019 Jun 16. Yoo DW et al. JMIR Mental Health. 2020;7(8):e16969. American Medical Informatics Association and Mental Health: https://www.amia.org/mental-health-informatics-working-group Selanikio J. The big-data revolution in health care.  TEDxAustin. 2013 Feb. CLPsych: Computational Linguistics and Clinical Psychology Workshop. 2019 Program. *  *  * Show notes by Jacqueline Posada, MD, associate producer of the Psychcast; assistant clinical professor in the department of psychiatry and behavioral sciences at George Washington University in Washington; and staff physician at George Washington Medical Faculty Associates, also in Washington. Dr. Posada has no conflicts of interest. *  *  * For more MDedge Podcasts, go to mdedge.com/podcasts Email the show: podcasts@mdedge.com

Philip Resnik, PhD, joins host Lorenzo Norris, MD, to discuss the use of AI and natural language processing to help clinicians identify patterns in the behaviors of patients with mental illness. Dr. Resnik is a professor in the department of linguistics at the University of Maryland, College Park. He also has a joint appointment with the university’s Institute for Advanced Computer Studies. Dr. Resnik has disclosed being an adviser for Converseon, a social media analysis firm; FiscalNote, a government relationship management platform; and SoloSegment, which specializes in enterprise website optimization. Some of the work Dr. Resnik discusses has been supported by an Amazon AWS Machine Learning Research Award. Dr. Norris disclosed having no conflicts of interest.  And don’t miss the “Dr. RK” segment, with Renee Kohanski, MD.  Take-home points  Artificial intelligence (AI) refers to the effort to get computers to develop capabilities that humans would consider intelligent when people do them. For example, a “smart” thermostat learns patterns of behaviors and changes the temperature accordingly. Natural language processing (NLP), an AI approach, focuses on the content of language from the words used and looks for cues within the content. NLP technology allows computers to do things more intelligently with human language, and NLP has generated technologies such as Siri, Alexa, and Google Translate. Much of clinical work is focused on language, and clinicians look for cues within the content. Dr. Resnik is a technologist who believes that NLP can help facilitate clinical progress, especially in the face of a shortage of mental health clinicians and the limited amount of time that clinicians are able to spend with their patients. Research aimed at using machine learning and NLP to analyze social media and other types of online presence to evaluate for suicide risk and the presence of mood disorders is underway. Dr. Resnik imagines an ecosystem in which computers and humans balance their efforts, with each “brain” doing what they are best at; he believes in technology’s ability to save us time so we can prioritize our efforts. Summary A common example of NLP is automatic dictation and transcription software embedded in medical records. Dr. Resnik thinks of technology as an enabler and augmentation strategy. Resnik and his wife, Rebecca Resnik, PsyD, completed a study using NLP to automatically detect clusters of language in the writing samples of college students. NLP software evaluated the natural patterns of language that might correlate with vegetative and somatic symptoms of depression and social isolation. His team was able to home in on language themes specific to college students that suggest specific symptoms of depression. Another example of NLP in mental health is using predictive modeling, taking in data, and then making a prediction about a pertinent variable to understand mental health outcomes. For example, Glen Coppersmith, PhD, and associates evaluated social media posts with NLP software and concluded that analysis of language in social media posts can accurately identify individuals at risk of suicide and facilitate earlier interventions. Resnik imagines a future in which speech and language samples are used to give a point-of-care evaluation of a patient’s mood and suicide risk. “Clinical white space” is all the “space” (for example, the time between clinical encounters) and this is where decompensation occurs. Resnik suggests that NLP software could be used to fill this white space by using apps to collect text samples from patients. Software would analyze the samples and warn of patients who are at risk of decompensation or suicide. Barriers to using this technology include engaging the technologists and clinicians, and accessing data samples because of privacy concerns, especially because HIPPA was written before the emergence of mega data. References Coppersmith G et al. Natural Language Processing of Social Media as Screening for Suicide Risk. Biomed Inform Insights. 2018 Aug 27. doi: 10.1177/1178222618792860. Zirikly A et al. CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts. In Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology. 2019 Jun 6. 24-33. Lynn V et al. CLPsych 2018 Shared Task: Predicting Current and Future Psychological Health from Childhood Essays. In Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic. 2018.  37-46. Selanikio J. The big-data revolution in health care. TEDx talk. Graham S et al. Artificial Intelligence for Mental Health and Mental Illnesses: An Overview. Curr Psychiatry Rep. 2019 Nov 7;21(11):116. doi: 10.1007/s11920-019-1094-0. Show notes by Jacqueline Posada, MD, who is associate producer of the Psychcast and consultation-liaison psychiatry fellow with the Inova Fairfax Hospital/George Washington University program in Falls Church, Va.  Dr. Posada has no conflicts of interest. For more MDedge Podcasts, go to mdedge.com/podcasts Email the show: podcasts@mdedge.com  

With a long career in technology and social media, ranging anywhere from extensive work at IBM to strategizing at Converseon, Mike Moran discusses marketing algorithms, new technological developments, and much more in this installment of Video Marketing and Mayhem. Mike also currently works as an Instructor of Professional Practice at Rutgers Business School.

With a long career in technology and social media, ranging anywhere from extensive work at IBM to strategizing at Converseon, Mike Moran discusses marketing algorithms, new technological developments, and much more in this installment of Video Marketing and Mayhem. Mike also currently works as an Instructor of Professional Practice at Rutgers Business School.

What's the ROI for businesses applying AI? How can organizations democratize the use of AI? Are businesses ensuring that humans are kept in the loop with AI? In this episode of IBM thinkLeaders podcast, we are joined by guests Rob Key (Founder & CEO of Converseon) & Chris Duffy (Author of Superhuman Innovation: Transforming Business with Artificial Intelligence & Strategic Development manager at Adobe). We talk to Rob and Chris about digital transformation, human-centered AI, and the importance of considering fairness, transparency, and explainability when building models. Connect with us @IBMthinkLeaders + the guests at: @robkey @converseon @DuffeyChris “The challenge with transformation within companies is that companies don't transform necessarily themselves. People transform. And if you can get enough people within an organization to be able to change and transform and embrace new technologies, then eventually the company will as well.” -Rob Key, Founder & CEO of Converseon “I think everyone agrees we have to move beyond advertising to create great experiences. A subset of that is personalization at scale, but the differentiator still comes back to an inherently innate human quality. And that's creativity. That's still going to be the differentiator. So companies that can create at scale but have that human magic will be the winners of tomorrow.” -Chris Duffy, author of Superhuman Innovation: Transforming Business with Artificial Intelligence & Strategic Development manager at Adobe

Michelle McSweeney is director of data quality at Converseon, a social media analytics and consulting agency. Michelle earned her PhD in linguistics at the Graduate Center in 2016. The post Linguistics in AI-Powered Text Analytics (feat. Michelle McSweeney) appeared first on Career Planning and Professional Development.

One on One with Jane Quigley of Converseon by DMN One-on-One

Mike is one of the most distinguished guests we’ve ever had as he brings his expertise in internet marketing, search technology, social media, text analytics, and web metrics to show. Mike is a certified speaking professional making regular speaking appearances. Serving 30 years at IBM, Mike served in several executive-level technical positions. He now serves as a senior strategist for Converseon, is a senior consultant for SoloSegment, and is the founder of Biznology.

Mike is one of the most distinguished guests we’ve ever had as he brings his expertise in internet marketing, search technology, social media, text analytics, and web metrics to show. Mike is a certified speaking professional making regular speaking appearances. Serving 30 years at IBM, Mike served in several executive-level technical positions. He now serves as a senior strategist for Converseon, is a senior consultant for SoloSegment, and is the founder of Biznology.

“Whether you’re scared or not about AI is mostly a personality test.” - Mike Moran   The onset of incredibly sophisticated artificial intelligence is inevitable. People on both sides of the coin—panic and relief—are predicting the same reality, they just have different perspectives on what that means for them.   Today, we’re focusing on what AI means for marketers. To learn that, we interviewed Mike Moran, author, professional speaker, and consultant on digital marketing. Mike has a wealth of experience in content marketing and AI, and he shared his thoughts on what marketers actually need to know about machine learning and what’s better left ignored.   Some places to check out:   Mike’s Vimeo   His book, Outside-In Marketing   His LinkedIn profile   The Biznology blog Converseon.com and SoloSegment.com, places where you can see AI-infused marketing solutions happening now.

Join us Tuesday, March 28th, as we keep making 2017 our best year. Mike Moran joins Search Talk Live to discuss How to Improve Your Website Search. Mike is one of the most distinguished guests we’ve ever had as he brings his expertise in internet marketing, search technology, social media, text analytics, and web metrics to show. Mike is a certified speaking professional making regular speaking appearances. Serving 30 years at IBM, Mike served in several executive-level technical positions. He now serves as a senior strategist for Converseon, is a senior consultant for SoloSegment, and is the founder of Biznology. You can check out Mike’s latest book, Outside-In Marketing: Using Big Data to Guide Your Content Marketing, and read his latest article contributions as a featured columnist to the Rutgers Business School blog and Business2Community.com where Mike shares his expert digital marketing advice.

Join us Tuesday, March 28th, as we keep making 2017 our best year. Mike Moran joins Search Talk Live to discuss How to Improve Your Website Search.Mike is one of the most distinguished guests we’ve ever had as he brings his expertise in internet marketing, search technology, social media, text analytics, and web metrics to show. Mike is a certified speaking professional making regular speaking appearances. Serving 30 years at IBM, Mike served in several executive-level technical positions. He now serves as a senior strategist for Converseon, is a senior consultant for SoloSegment, and is the founder of Biznology.You can check out Mike’s latest book, Outside-In Marketing: Using Big Data to Guide Your Content Marketing, and read his latest article contributions as a featured columnist to the Rutgers Business School blog and Business2Community.com where Mike shares his expert digital marketing advice.

Post Time with Mike and Mike would like to remind everyone that for the next few weeks, the show will take place at 1:00 PM on Thursday afternoons. Coming up this week, leading Chicago area Driver Casey Leonard will be joining us to talk about his career, as well as the current racing season at Hawthorne Race Course Also joining us on the show is Rob Key. Rob is the CEO and founder of Converseon, an award-winning social media consultancy. Also a harness horse owner, his company is partnered with the USTA's social media initiative.  We will also sit down with longtime Hawthorne Track Announcer Peter Galassi, as he talks about his career and his recovery from stem cell replacement. Winnie Morgan Nemeth will also be joining us in the first of a four-part series to talk about New Vocations, and how it works.       Sent from my iPad

Rob Key, CEO and founder of Converseon talks about becoming a listening organization, social CRM and mining actionable business intelligence with social media monitoring platforms at the PRSA International Conference in San Diego.                                            … The post Social Media Monitoring with Rob Key appeared first on Eric Schwartzman.