Podcasts about behavioral signals

Σε αυτό το επεισόδιο καλύπτουμε ένα ευρύ φάσμα θεμάτων που συνδέονται με την τεχνητή νοημοσύνη, την εξέλιξη της τεχνολογίας, και το μέλλον της εφαρμογής αυτών των τεχνολογιών. Με έναν εξαιρετικό καλεσμένο, τον Νάσο Κατσαμάνη, ερευνητή στο Ινστιτούτο Επεξεργασίας του Λόγου του Ερευνητικού Κέντρου Αθηνά, CTO στην Behavioral Signals, και ειδικό στον τομέα της επεξεργασίας φυσικής γλώσσας. Τεχνητή Νοημοσύνη και Γλώσσα Ο ρόλος της φωνής ως μέσου αλληλεπίδρασης. Η πρόκληση της μεταφοράς της τεχνητής νοημοσύνης στα ελληνικά δεδομένα μέσω του γλωσσικού μοντέλου “Μελτέμι”. Η σύγκριση μεταξύ “κλειστών” και “ανοιχτών” μοντέλων, όπως το ChatGPT και το LLaMA. Το Ελληνικό Οικοσύστημα AI Οι υποδομές “Δαίδαλος” και “Φάρος” για την ανάπτυξη τεχνητής νοημοσύνης και υπερυπολογιστών στην Ελλάδα. Ο ρόλος του Ερευνητικού Κέντρου Αθηνά και της συνεργασίας του με το κράτος και τον ιδιωτικό τομέα. Οι προκλήσεις εκπαίδευσης τεχνητής νοημοσύνης σε δεδομένα με πνευματικά δικαιώματα και δεδομένα συγκεκριμένα για τη γλώσσα. Το Μέλλον της Τεχνητής Νοημοσύνης: Από το Generative AI στην Artificial General Intelligence (AGI). Πότε και αν θα φτάσουμε στο σημείο όπου τα μοντέλα θα αυτοβελτιώνονται. Πρακτικές εφαρμογές και ο αντίκτυπος στην καθημερινότητά μας. Φιλοσοφία και Εκπαίδευση Η προσαρμογή της κοινωνίας στην τεχνητή νοημοσύνη. Πώς τα παιδιά του μέλλοντος θα σκέφτονται διαφορετικά, προσαρμοσμένα στα εργαλεία της εποχής τους. Ο ρόλος της εκπαίδευσης και των νέων δεξιοτήτων που απαιτούνται για την αποτελεσματική χρήση αυτών των τεχνολογιών. Επικοινωνία email: hello@notatop10.fm Instagram: @notatop10 Threads: @notatop10 Bluesky: @notatop10.fm Web: notatop10.fm     (00:00:00) Εισαγωγή (00:05:30) Ποιος ειναι ο Νάσος, Φωνή & ΑΙ (00:12:12) Μετάβαση στην Συμπεριφορική Τεχνητή Νοημοσύνη (00:18:25) Τεχνητή Νοημοσύνη για Πρακτικές Εφαρμογές (00:26:12) Αθηνά, Φάρος και Μελτέμι (00:36:27) Ο Ρόλος της Ευρώπης (00:45:53) Ηθικές Προκλήσεις (00:54:00) Το Μέλλον του AI (01:11:59) AGI - Artificial General Intelligence

We're all about cats.... Welcome back to The Jersey PodCats! In this episode, we're diving into the health journey of Danielle's cat, Thor. Join hosts Elizabeth Gearhart and Danielle Woolley as they discuss the signs they missed and the struggle of getting Thor the right care when he suddenly stopped his usual antics. From late-night play sessions to hiding under the bed, discover how Thor's behavior change was a crucial indicator of a deeper issue. We'll explore the challenges of monitoring Thor's health, the unexpected surprises that came with getting him to eat, and the unique solutions Danielle put in place to ensure his recovery. Plus, Elizabeth shares amusing anecdotes about her own cats' quirky eating habits. Whether you're a fellow cat owner or just intrigued by the unpredictable world of feline behavior, this episode is filled with insights, laughter, and heartfelt moments. Tune in and share your cat stories with us at The Jersey PodCats!Of course we want to hear from you, we love chatting with pet parents, the more cat stories the better!  We dare you to top Danielle and Elizabeth with stories about weird and funny cat behavior!  We think we've seen it all, but maybe not...Find us online:  Visit http://thejerseypodcats.com, download and review the podcast episodes in your favorite podcast player or from http://thejerseypodcats.buzzsprout.com, and join our FaceBook group The Jersey PodCats Community here: https://www.facebook.com/groups/thejerseypodcats/The rescue organization that Danielle is involved with is www.tommyscatsnj.orgAnd the Passage to Profit website is https://passagetoprofitshow.com/#cats #catstories #cathealth #catfacts #catpodcast #daniellewoolley #elizabethgearhart #catrescue #catbehaviour #tommyscatsrescue #passagetoprofitshow #funnycats #catvideosSupport the showThe Jersey PodCatshttp://thejerseypodcats.comhttps://youtube.com/@thejerseypodcatshttps://instagram.com/thejerseypodcatshttps://m.facebook.com/groups/thejerseypodcatsDanielle Woolley danielle@thejerseypodcats.comElizabeth Gearhart elizabeth@thejerseypodcats.comTommy's Catshttp://tommyscatsnj.orgPassage to Profithttp://passagetoprofitshow.com

Many of us take pride in the fact that no matter how AI advances, humans will always have the upper hand in some aspects of intelligence - and emotional intelligence is one of those areas that we feel so sure are our exclusive domain. That remains largely true but that doesn't mean AI will leave this large space untapped. In this episode, we dive into the intersection of AI and emotion as our guest, Rana Gujral of Behavioral Signals, takes us on a tour of AI's evolving relationship with human emotions. Explore the groundbreaking work of a deep AI company delving into the core brain functions of emotion, behavior, and cognition, pushing the boundaries of AI performance to surpass human assessments. This conversation invites us to envision a future where AI understands and responds to human emotions, potentially becoming indispensable companions in various facets of our lives. Join the conversation as we navigate the exciting and transformative landscapes at the intersection of technology and human emotion. Tune in!Love the show? Subscribe, rate, review, and share! http://thefuturistsociety.net/

AI has significantly advanced with innovations like ChatGPT, transforming interactions with technology. These developments in natural language processing enable more accurate and human-like communication, impacting various sectors from customer service to creative content generation. As AI evolves, it's set to become a vital part of everyday life, revolutionizing industries and reshaping communication, efficiency, and creativity. Rana Gujral is an entrepreneur and CEO at Behavioral Signals, an enterprise software company that unravels behavioral signals from speech data with its acoustics based deep learning technology. For more info on guests and future episodes visit pix11.com/impact

It's AI unplugged in this session of Twitter Spaces by NFT LA Live (now Outer Edge) and Howl Labs as leaders in the field introduce us to a couple of interesting use cases for AI. Rana Gujral from Behavioral Signals, NFT artist REO, and data scientist Science Stanley give us a peek at what's going on in the intersection between Web3 and the metaverse and AI. Get ready to have your mind blown as they talk about the most interesting developments in human-to-machine interaction, generative AI, data science, and more. The future is now as AI starts to revolutionize all the subdisciplines in the NFT space and take NFT technologies to the next level.____More from Edge of AI

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.07.12.548701v1?rss=1 Authors: Lindsay, A. J., Gallello, I., Caracheo, B. F., Seamans, J. K. Abstract: Behaviours and their execution depend on the context and emotional state in which they are performed. The contextual modulation of behavior likely relies on regions such as the anterior cingulate cortex (ACC) that multiplex information about emotional/autonomic states and behaviours. The objective of the present study was to understand how the representations of behaviors by ACC neurons become modified when performed in different emotional states. A pipeline of machine learning techniques was developed to categorize and classify complex, spontaneous behaviors from video. This pipeline, termed HUB-DT, discovered a range of statistically separable behaviors during a task in which motivationally significant outcomes were delivered in blocks of trials that created 3 unique "emotional contexts". HUB-DT was capable of detecting behaviors specific to each emotional context and was able to identify and segregate the portions of a neural signal related to a behaviour and to emotional context. Overall, ~10x as many neurons responded to behaviors in a contextually dependent versus a fixed manner, highlighting the extreme impact of emotional state on representations of behaviors that were precisely defined based on detailed analyses of limb kinematics. This type of modulation may be a key mechanism that allows the ACC to modify behavioral output based on emotional states and contextual demands. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

This week on Commerce Code we speak with Rana Gujral, Chief Executive Officer of Behavioral Signals. Behavioral Signals is a company that facilitates A.I. mediated conversations to bridge the communication gap between humans and machines by introducing emotional intelligence. Topics of conversation include: How machines are able to understand human emotions – and change their behavior to match. How A.I. mediated conversations can impact outcomes of call-center conversations.Why companies are choosing to incorporate these sorts of interactions into their software solutions.

It's AI unplugged in this session of Twitter Spaces by NFT LA Live (now Outer Edge) and Howl Labs as leaders in the field introduce us to a couple of interesting use cases for AI. Rana Gujral from Behavioral Signals, NFT artist REO, and data scientist Science Stanley give us a peek at what's going on in the intersection between Web3 and the metaverse and AI. Get ready to have your mind blown as they talk about the most interesting developments in human-to-machine interaction, generative AI, data science, and more. The future is now as AI starts to revolutionize all the subdisciplines in the NFT space and take NFT technologies to the next level. Tune in and see what's right on the Outer Edge of NFTs!More from Edge of NFT:

In this episode of Recsperts we talk to Rishabh Mehrotra, the Director of Machine Learning at ShareChat, about users and creators in multi-stakeholder recommender systems. We learn more about users intents and needs, which brings us to the important matter of user satisfaction (and dissatisfaction). To draw conclusions about user satisfaction we have to perceive real-time user interaction data conditioned on user intents. We learn that relevance does not imply satisfaction as well as that diversity and discovery are two very different concepts.Rishabh takes us even further on his industry research journey where we also touch on relevance, fairness and satisfaction and how to balance them towards a fair marketplace. He introduces us into the creator economy of ShareChat. We discuss the post lifecycle of items as well as the right mixture of content and behavioral signals for generating recommendations that strike a balance between revenue and retention.In the end, we also conclude our interview with the benefits of end-to-end ownership and accountability in industrial RecSys work and how it makes people independent and effective. We receive some advice for how to grow and strive in tough job market times.Enjoy this enriching episode of RECSPERTS - Recommender Systems Experts.Chapters: (03:44) - Introduction Rishabh Mehrotra (19:09) - Ubiquity of Recommender Systems (23:32) - Moving from UCL to Spotify Research (33:17) - Moving from Research to Engineering (36:33) - Recommendations in a Marketplace (46:24) - Discovery vs. Diversity and Specialists vs. Generalists (55:24) - User Intent, Satisfaction and Relevant Recommendations (01:09:48) - Estimation of Satisfaction vs. Dissatisfaction (01:19:10) - RecSys Challenges at ShareChat (01:27:58) - Post Lifecycle and Mixing Content with Behavioral Signals (01:39:28) - Detect Fatigue and Contextual MABs for Ad Placement (01:47:24) - Unblock Yourself and Upskill (02:00:59) - RecSys Challenge 2023 by ShareChat (02:02:36) - Farewell Remarks Links from the Episode: Rishabh Mehrotra on Linkedin Rishabh Mehrotra on Twitter Rishabh's Website Papers: Mehrotra et al. (2017): Auditing Search Engines for Differential Satisfaction Across Demographics Mehrotra et al. (2018): Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommender Systems Mehrotra et al. (2019): Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations Anderson et al. (2020): Algorithmic Effects on the Diversity of Consumption on Spotify Mehrotra et al. (2020): Bandit based Optimization of Multiple Objectives on a Music Streaming Platform Hansen et al. (2021): Shifting Consumption towards Diverse Content on Music Streaming Platforms Mehrotra (2021): Algorithmic Balancing of Familiarity, Similarity & Discovery in Music Recommendations Jeunen et al. (2022): Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders General Links: Follow me on Twitter: https://twitter.com/LivesInAnalogia Send me your comments, questions and suggestions to marcel@recsperts.com Podcast Website: https://www.recsperts.com/

Rana Gujral, CEO of Behavioral Signals since 2018, joined the company after a distinguished tech career growing companies like Logitech, TiZE, and Cricut. Behavioral Signals uses emotion and behavioral science to help contact center agents deliver better service. Rana and the team are on a mission to improve customer interactions by using signals other than the spoken word to understand exactly what they need based on indicators like voice tone and pitch.Listen and learn...How to train AI models on past service interactions and outcomes to determine which agents should speak to which customersHow to use deep learning and NLP to process non-speech behavior signals like intonation, pitch, and tonal varianceHow behavior signals can be used to predict stress, duress, and propensity to buy or payHow to achieve high levels of prediction accuracy without processing "the spoken word"Why tone and pitch are better indicators of sentiment than actual words across any language How to compete with Google/Microsoft/Amazon for data when building an AI-first conversational intelligence productThe biggest opportunity Rana sees to use AI to help humans live better livesReferences in this episode:Mahesh Ram from Solvvy (now Zoom) on AI and the Future of WorkGadi Shamia from Replicant on AI and the Future of WorkHow personalization algorithms work in your social feedsBehavioral Signals

“Your call may be recorded for quality assurance.” Customer service systems often automate call recording and processing analysis, but you can tell a lot by detecting the tone of a conversation.  Los Angeles-based Behavioral Signals says its technology is more effective than humans at determining empathy and intention. Rather than attempting to detect the actual words being said and how they're used, there is the “acoustic” content of a conversation, Chief Executive Rana Gujral tells Bank Automation News in this episode of “The Buzz” podcast.  Behavioral Signals was founded in 2016 and has raised a total of $7 million over two funding rounds, according to Crunchbase. With its tone determination technology, the company seeks to match each customer with the right service employee.  “In a conversation, there are two big elements,” Gujral says. “One is the spoken word, and then everything else that's behind the spoken word or beyond the spoken word.”  Behavioral Signals' technology measures conversational elements in real time, he tells BAN, and can place information in “buckets” of emotions, behaviors and propensities. From those elements and indicators, the company's systems can determine tone and empathy 15% more accurately than a human.  Bank Automation Summit Fall 2022, taking place Sept. 19-20 in Seattle, is a crucial event on automation and automation technology in banking. Learn more and register for Bank Automation Summit Fall 2022.  

In this episode of The Payments Show Podcast, I spoke to Rana Gujral who is the CEO of Behavioral Signals. Behavioral Signals develops AI technology to analyse human behaviour from voice-data in order to increase the outcomes of customer conversations in Contact Centres and for Revenue Recovery. Click through the Chapters Menu at the top of the episode webpage here: http://thepayments.show Summary of topics discussed:1. Deduce Intelligent and Actionable Insights from Voice Data2. Increase Conversions by Predicting Intent3. Match Sales Reps to Customers Using AI Mediated Conversation4. Use Cases: Sales, Debt Collection, Customer Service5. Reduce Staff Attrition 6. Positive Experiences even when Customer Outcome is Bad7. Use AI Models with Any Language8. Increase Forecasting Accuracy9. Increase First Call Resolution (FCR)10. Customer Touch Points and Personalisation And much more…Details:- Recorded on 24 Feb 2022- Host: Satwant Phull, Founder of Digital Money Lab- Guest: Rana Gujral, CEO, Behavioral Signals[Next Steps]- Get in touch with Satwant: digitalmoneylab.com | @SatPhull- Get in touch with Rana: linkedin.com/in/ranagujral- Behavioral Signals: behavioralsignals.com | @behaviorsignals[Support the Show]Fee-free Overseas Currency Transfer Get a fee-free currency transfer for you or your business with Wise: bit.ly/3DJBBGUBuy Bitcoin and receive $20 cash bonus! Bitstamp is the original global cryptocurrency exchange. Buy instantly with a card: bit.ly/3mQTk9ADisclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the show (https://www.buymeacoffee.com/satwant)

Rana Gujral is an entrepreneur, speaker, investor, and CEO at Behavioral Signals, an enterprise software company that excels at distinguishing behavioral signals in speech data with its proprietary deep learning technology. Rana joins us to share how Behavioral Signals emotional AI mediated technology is leading to 12-17% revenue improvement, +8% Call Success Ratio and +10% Customer Satisfaction in the call centre.Learn more about Behavioral SignalsPresented by Deepgram and Symbl.aiDeepgram is a Speech Company whose goal is to have every voice heard and understood. We have revolutionized speech-to-text (STT) with an End-to-End Deep Learning platform. This AI architectural advantage means you don't have to compromise on speed, accuracy, scalability, or cost to build the next big idea in voice. Our easy-to-use SDKs and APIs allow developers to quickly test and embed our STT solution into their voice products. For more information, visit:Deepgram websiteDeepgram on LinkedInDeepgram on TwitterSymbl.ai is a Conversation Intelligence (CI) platform for building applications capable of understanding natural human conversations at scale. Their comprehensive suite of developer-centric products and APIs make it easy to build and deploy intelligent speech-to-text functionality, extract contextual insights, generate domain-specific insights and intelligence, and access advanced conversation analytics.Visit Symbl.aiSymbl.ai LinkedInSymbl.ai on TwitterSymbl.ai on Facebook Symbl.ai on Instagram See acast.com/privacy for privacy and opt-out information.

This week on Commerce Code we speak with Rana Gujral, Chief Executive Officer of Behavioral Signals, about people, their feelings, and the importance of managing people as people. Behavioral Signals is an AI firm using voice recognition to analyze the mood and emotional state of people as they enter a call center or support system.

This Week In Voice, Season 6 Episode 4, features guests Rana Gujral (CEO, Behavioral Signals), Jon Stine (Executive Director, Open Voice Network) and Thomas Lindgren (Executive Chairman, Wanderword). Stories include: 1) M&A Watch: LivePerson's Transformational Acquisitions (Dan Miller, Opus Research) 2) Healthcare's Use Of Voice Tech Seen As "Game Changer" For Diagnostics, Patient Experience (PYMNTS) 3) A Start-up Says Its Voice Recognition Tech Beats Google And Amazon At Reducing Racial Bias (CNBC) 4) Biggest Names In Voice Tech Coming To Okaloosa Island For Project Voice X (Northwest Florida Daily News) This Week In Voice, hosted by Bradley Metrock (CEO, Project Voice; General Partner, Project Voice Capital Partners) is part of the Project Voice Media Group.

Rana Gujral, CEO of Behavioral Signals, joins us to explain how his company uses AI to help businesses improve their customer interactions.  Behavioral Signals has a cool technology that uses AI to learn speech patterns and match the people who are predicted to engage most effectively with each other, especially in tough conversations.  There is a lot to learn in this episode, and Rana explains how the AI works to help the matching result in improved communication, customer satisfaction, and business outcomes.  We found it all fascinating.  

Behavioral Signals aims to “turn your conversational data into actionable insights for your business” via the automated cross-cultural detection of emotions in the audio of conversations. This is a super-new front in machine language recognition and usage one which has to date been rather simplistically approached but one which as we all know every day […]

In this episode, Teri welcomes Rana Gujral, CEO of Behavioral Signals, who shares his expertise on emotion detection in voice. Rana is an exceptional forward-looking visionary, who is the CEO of Behavioral Signals. He has spent his career working as an investor, executive, and entrepreneur with extensive experience in enterprise software, product development, strategy, business-building, and emerging markets. Rana was awarded the ‘Entrepreneur of the Month’ by CIO Magazine and the ‘US-China Pioneer’ Award by IEIE. Rana was also listed among the Top 10 Entrepreneurs to follow in 2017 by Huffington Post. See acast.com/privacy for privacy and opt-out information.

When you bring people in to work on the vision of the company, it doesn't matter whether you are an employee or a contractor you have to be an insider.    Rana Gujral is an entrepreneur, speaker, investor, and CEO at Behavioral Signals, an enterprise software company that excels at distinguishing behavioral signals in speech data with its proprietary deep learning technology. As a thought-leader in the AI/technology space, he often leads keynote sessions and joins panel discussions at industry events such as World Government Summit, VOICE Summit, The Next Web Conference, and Blockchain Economic Forum. His bylines are featured in publications such as Hacker Noon, Voicebot.ai, SpeechTechMagazine, and is a contributing columnist at TechCrunch and Forbes. He's been recognized as ‘Entrepreneur of the Month' by CIO Magazine, awarded ‘US-China Pioneer' by IEIE, and listed as a Top 10 Entrepreneur to follow in 2017 by Huffington Post and an AI Entrepreneur to Watch in Inc. In 2020 he won “Contributor of the Year: Chatbots” in Hacker Noon's Noonie's Awards.https://behavioralsignals.com/

Tools built to leverage AI offer many benefits to banks. This episode focuses on how emotional and behavioral AI technology specifically offers tremendous ROI. Rana Gujral, CEO of Behavioral Signals Technologies joins the show to discuss their technology, its applications to the finance world, and where AI itself is headed. Find show notes and more at: https://www.soarpay.com/podcast/

Rana Gujral is an entrepreneur, speaker, investor, and CEO at Behavioral Signals, an emotion AI and behavioral recognition software company. In 2014, Rana founded TiZE, a cloud software for specialty chemicals, and held the role of CEO until his exit when TiZE was acquired by Alchemy. He has been awarded the ‘Entrepreneur of the Month’ by CIO Magazine, the ‘US-China Pioneer’ Award by IEIE, and listed in "Top 10 Entrepreneurs to follow in 2017" by Huffington Post. Due to his notable thought-leadership in the voice-first community, spearheading digital transformation in the behavioral analysis space, he is recognized in Inc. Magazine as an “AI Entrepreneur to Watch”. His writing can be found in publications such as Inc., TechCrunch, and Forbes. Please rate, review, subscribe, and share with a friend who will be inspired. Visit KateHancock.com for insights into guests and future episodes. Today's episode is sponsored by Anchor. Make sure to check out Anchor.fm and see why we love to use them as our podcast hosting. --- Support this podcast: https://anchor.fm/ibhshow/support

This podcast interview focuses on product innovation that has the power to transform our society from being very transactional into very empathetic. My guest is Rana Gujral, CEO Behavioral SignalsRana Gujral is an entrepreneur, speaker, and investor. He founded TiZE, a cloud software for specialty chemicals in 2014. He was recruited to be a part of the core turnaround team for Cricut Inc. where he built a first of its kind product for the DIY community and helped turn bankruptcy to profitability within a span of 2 years. Rana also held leadership positions at Logitech S.A. and Kronos Inc., where he was responsible for the development of best-in-class products generating billions in revenue and contributed towards several award-winning engineering innovations.He has been awarded the ‘Entrepreneur of the Month’ by CIO Magazine and the ‘US China Pioneer’ Award by IEIE. He has been listed among 8 A.I. Entrepreneurs to Watch in 2019 by INC Magazine and Top 10 Entrepreneurs to follow in 2017 by Huffington Post. Today he is the CEO of Behavioral Signals, an enterprise software company that delivers a robust and fast evolving emotion AI engine that introduces emotional intelligence into speech recognition technology.And this triggered me, and hence I invited him to my podcast. We explore the challenge with today’s voice technology and what has kept it from reaching its true potential. We discuss a variety of use cases that will create transformative experiences and impact when some of the limitations are taken away. Not only for us individuals, but also the level of business and society at large. Here are some of his quotes:Behavioral Signals was really driven from this sort of really intrinsic desire to improve voice communications and take it to the next level, whether it's communication happening between two humans or whether it's communication happening between a machine or a human.This is the best utopian experience that matches our human interests. And that's led to the whole voice first design movement.The whole promise was that we are going to take this to the next level, which means we're going to talk to our devices and devices are going to communicate back to us, as humans do. We could use those experiences to replace some of those elements in our livelihoods, and use those as companions. But that hasn't happened.That is why we are actually very rude to voice assistance in general, because we feel that they're beneath us, not because it's a machine, we know it's a machine, of course, it's not a human. But we also feel that, hey, it doesn't have the basic capability to understand how I feel. So, our mission is to really take that interaction to the next level.During this interview, you will learn four things:That solving critical problems is often not about following the right process, but connecting people that are on the same wavelengthWhy the secret behind growing momentum behind the adaption of your application is in making it human and empatheticHow you can exponential grow the impact your solution can create for your customers by capturing intent, rather than the transactionHow imagination and your ability to connect the dots into a vision are essential skills to create a remarkable software business See acast.com/privacy for privacy and opt-out information.

Vicki Kolovou, Head of Marketing at Behavioral Signals, a company that develops technology to analyze human behavior from voice-data joined us in this episode of the SalesStar podcast. Key topics discussed: The current world situation and challenges related to the ongoing Covid-19 pandemic How the pandemic is set to impact the SaaS industry Shifting priorities in sales and marketing What can brands do to reposition themselves?

Behavioral Signals' unprecedented success in leveraging its advanced Voice-AI engines at financial institutions was published in a Gartner case study titled 'Using Emotion AI Technology to help with Underperforming Loans' and a report titled 'Three Best Practices for Product Managers to Drive Adoption of Emotion AI Technology'. In this episode, Adam Torres and Rana Gujral, CEO at Behavioral Signals, explore advanced Voice-AI engines and the future of the space. Follow Adam on Instagram at https://www.instagram.com/askadamtorres/ for up to date information on book releases and tour schedule.Apply to be interviewed by Adam on our podcast:https://missionmatters.lpages.co/podcastguest/

Episode 1 How will the COVID-19 coronavirus impact the future of the workplace experience? While the legacy “office” may be dead could a hybrid experience emerge? What are the varied approaches of organizations in our next normal? Charlie and Frank discuss this and AI companies whose products may very well revolutionize customer intimacy required in our digital economy. Can customer intimacy be accomplished will less physical or even human interaction? Find out how the Digital Experience Supply Chain holds customer intimacy as a required capability in our next normal. Companies discussed: Panviva Lenses.io Behavioral Signals  

Our friend Rana Gujral joins us to discuss how AI is being used to better understand our emotions and responses. Can data makes us better understand how our companies respond to our customers? Can AI really understand us better than we understand ourselves? How can companies use AI to anticipate how our customers will respond? These are the questions that Rana and Behavioral Signals are working to answer and equip others to navigate as we embrace more technology into our business strategies. We also talk about the evolution of work that is being caused by technology like AI and Robotics. Throughout the episode dive deep into running a business during Covid-19 shutdowns, remote working, Data vs Psychology, and behavioral profiling. Recommended ReadingEgo is Enemy by Ryan Holiday - https://amzn.to/2XJvBK4LinksBehavior Signals - https://behavioralsignals.com

Studies have shown that voice-only communication enhances empathic accuracy relative to communication across senses. On this episode you'll hear Rana Gujral, the CEO of Behavioral Signals who was also named one of "10 Entrepreneurs to Follow in 2017" by the Huffington Post and an "AI Entrepreneur to Watch" in Inc. Magazine. Listen as he talks about why voice only communication is so accurate, how his company is focusing on the how of what's being said instead of the what, how machines can be emotionally intelligent, plus how his company is helping businesses create better experiences for its users. Want the chance to speak at VOICE 2020? Call for proposals is open until March 2020. Get them in here!

The VoiceFirst Roundtable, VoiceFirst.FM's half-hour one-on-one interview show, returns for Season 2. The show kicks off with Rana Gujral, CEO of Behavioral Signals, discussing the company's origin story, the importance behind sentiment analysis, and the future of voice tech and AI which incorporates technology that helps provide greater context to interactions.

In Episode 32 of Voice in Education, Rana Gujral, CEO of Behavioral Signals shares how they are striving to bridge the communication gap between humans and machines by introducing emotional intelligence, from speech, into conversations with AI.

Our guest for this week is Rana Gujral who is an entrepreneur, speaker, investor and CEO at Behavioral Signals, an enterprise software company that delivers a robust and fast-evolving emotion AI engine that introduces emotional intelligence into speech recognition technology. Rana has been awarded the ‘Entrepreneur of the Month’ by CIO Magazine, the ‘US-China Pioneer’ Award by IEIE and listed in "Top 10 Entrepreneurs to follow in 2017" by Huffington Post. He was also recently listed in Inc. Magazine as an “AI Entrepreneur to Watch”. He has spoken at conferences such as the World Government Summit and AI Everything in Dubai, the Silicon Valley Smart Future Summit, and MWC in Shanghai. You can find his writing in publications such as Inc., TechCrunch, and Forbes. You can find Rana Gujral at: http://ranagujral.com/ Twitter: @RanaGujral and @BehaviorSignals Instagram: @behavioralsignals Contact: rg@ranagujral.com His company: https://behavioralsignals.com/

Suicide impacts us all. Whether it is from someone we know personally, to a well-loved celebrity, losing someone to suicide is never easy. According to Save.org, Suicide is the 10th leading cause of death in the US for all ages, with one death occurring every 12 minutes. In our society, we want to do all we can to help those suffering from suicidal thoughts to get the help they need, however, identifying symptoms before an attempt is made can be difficult. In this episode, we will look at how predictive AI us being used to stop suicide before it happens. To discuss this topic I am joined by two guests. My first guest is an Assistant Professor of Biomedical Informatics, Medicine, and Psychiatry at Vanderbilt University Medical Center, Dr.Colin Walsh. In addition to Dr.Walsh, I am also joined by the CEO of Behavioral Signals, a pioneer in emotion AI for speech recognition technology, Rana Gujral. And for our Neuron to something piece, we will look at a recent study that analyzing emotions triggered by events such as losing a phone or someone else holding it.

In this episode, Teri welcomes Rana Gujral, the CEO of Behavioral Signals, a company that allows developers to add speech emotion and behavioral recognition AI to their products.Rana is also an entrepreneur, speaker, and investor, and has been awarded the ‘Entrepreneur of the Month’ by CIO Magazine, and the ‘US China Pioneer’ Award by IEIE. He was also listed in Inc. Magazine as an “AI Entrepreneur to Watch”. He has extensive experience in enterprise software, product development, strategy, business-building, and emerging markets. Rana previously served as an Executive Vice President at Cricut Inc where he headed engineering, strategy, technology and IT, and also held leadership positions at Logitech S.A., Kronos Inc., and Deutsche Bank AG, where he was responsible for the development of best-in-class products and contributed towards several award-winning engineering innovations.Key points from Rana!The many reasons why it’s important that machines can recognize and express human emotion, including improving human computer interaction and boosting business KPIs.Looking at the intention behind the words that somebody is speaking and how that is being used in the financial and health sectors.Suicide risk and the ethics behind what happens when an AI is showing the meaning of what a person is saying.Developing an Interest in Voice and Joining Behavioral SignalsHe had been following the voice space and fascinated by AI.In the last decade, the voice technology industry has really progressed. Five to seven years ago we were speaking to NLP or speech-to-text as cutting edge technology, but fast forward to now, it’s no longer considered cutting edge even though it’s very accurate with brilliant business models built on top of it.Voice technology has been directed towards creating a wide range of solutions in different domains, and what Behavioral Signals focuses on is how words are said, and what that says to the state of mind of a speaker. Rana believes this is the aspect of voice interactions that’s going to be a game changer.He also believes that it is the aspect of voice interaction that has been holding the whole interaction piece of voice technology back.How the Technology Tells the DifferenceAt the core of Behavioral Signals’ engine processes, is the variety of outputs when an interaction is being recorded. They go after who spoke when (diarisation) where they deduce basic emotions like anger, sadness, happiness, and frustration. They also go after specific aspects of tone change which is the trend of positivity within the duration of a conversation.They are less hang up on what is being said, and are focused more on the emphasis behind the words. That tells them a lot.An example is a study that was done at Yale University where they took a piece of content from YouTube and just took the audio out of it. They then deduced the emotional behavioral signals from it and mapped it out. Then they turned the video on and analyzed both the audio and the video, looking at the facial expressions and body language of the people in the video, and added that to the emotional and behavioral map that they were piecing together.The natural expectation there was that when adding those additional data points, in addition to just processing the audio piece, they could get more accurate, but what they found was that they actually became less accurate.That meant that when they were mapping based on audio only; there was a higher score than when they were also looking at the video. What they realized is that we as humans are fairly adept at masking our emotions through our facial expressions, but we can’t do that with our tone of voice.Scientists have proven that if one can accurately create an emotional behavioral map of an interaction, or decipher the cognitive state of mind of a participant, and understand the context of that interaction, they can predict what that person will do in the near future, and in some ways predict intent.For example, Behavioral Signals is working with collections and banks to predict if a debt holder is going to pay their debt or not, simply by listening to a voice conversation. They have been able to do that with a very high level of accuracy.They are also working with another company that is building a software platform to cater to patients with depression. The company using Behavioral Signals’ technology to predict a propensity for suicidal behavior.The EthicsThe technology could be misused and so people must be careful when using it. He believes companies like Behavioral Signals have a responsibility to protect the data.We are going to rely more and more on inanimate systems and machines, and the systems/machines will become more intelligent than humans.Links and Resources in this EpisodeThe Comprehensive Flash Briefing Formula CourseRana on Twitter and LinkedinRana’s WebsiteBehavioral Signals Website See acast.com/privacy for privacy and opt-out information.

The fear that AI will take away a significant number of jobs is somewhat exaggerated, says Rana Gujral. Gujral is the CEO of Behavioral Signals and an expert on AI. Behavioral Signals creates software that introduces emotional intelligence into speech recognition technology. Gujral thinks of AI as comparable to major innovations from the past. They improved productivity and the overall economic ecosystem. They took what humans were doing and enhanced it. And, in many cases, they took on tasks humans didn’t really want to do. But, he agrees, some workers will be affected more than others—just as with earlier innovations. In this episode, Gujral explains the difference between AI and machine learning; shares his thoughts on the tasks AI will take on and what it’s already doing to help professionals; and discusses the responsibilities and mindsets people and companies can adopt to adjust to these coming technologies. Listen now for insights on AI and to hear what Behavioral Signals is doing to augment human-to-human interactions and improve human-to-machine interactions. Be sure to subscribe to future episodes.

The fear that AI will take away a significant number of jobs is somewhat exaggerated, says Rana Gujral. Gujral is the CEO of Behavioral Signals and an expert on AI. Behavioral Signals creates software that introduces emotional intelligence into speech recognition technology. Gujral thinks of AI as comparable to major innovations from the past. They improved productivity and the overall economic ecosystem. They took what humans were doing and enhanced it. And, in many cases, they took on tasks humans didn’t really want to do. But, he agrees, some workers will be affected more than others—just as with earlier innovations. In this episode, Gujral explains the difference between AI and machine learning; shares his thoughts on the tasks AI will take on and what it’s already doing to help professionals; and discusses the responsibilities and mindsets people and companies can adopt to adjust to these coming technologies. Listen now for insights on AI and to hear what Behavioral Signals is doing to augment human-to-human interactions and improve human-to-machine interactions. Be sure to subscribe to future episodes. Support the show.

In this episode, I talk with Rana Gujral CEO of Behavioral Signals which is a company that focuses on deducing intelligent and actionable insights from conversations through their Emotion AI engine for voice - Oliver API. Today we dive into the topic of Emotion AI for Voice, some background into the field, as well as what verticals are seeing success with emotion recognition for conversations. Rana Gujral Behavioral Signals Rana Gujral on LinkedIn Rana Gujral's website Voiciety https://www.voiciety.io https://www.voiciety.io/newsletter https://www.voiciety.io/podcast https://www.voiciety.io/community/articles Intro Music:Soul Groove by Audionautix is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Artist: http://audionautix.com/ --- Support this podcast: https://anchor.fm/voiciety/support

Today's podcast is the first time we've ever had a guest from the world of Artificial Intelligence. Vicki Kolovou is the head of marketing at Behavioral Signals, an AI company. We’ll be talking about artificial intelligence. She is also a life-long entrepreneur. She is the co-Founder & Producer at Tech Talks Central, a web radio platform that interviews technologists, scientists, and researchers, broadcasting live from within tech events. She has been active with startups, some of which she founded herself -like ermoumag - a fashion magazine, ermou.gr - street guide, Teez.me - a mobile retail platform, Taggzy and iHeartShops, marketing IT tools for retail- and is a strong supporter of the startup ecosystem in Greece. As you can see, she is an accomplished and versatile woman, one who I thought was perfect for Good Girl Mafia. 
Vicki is a connector and firm believer in serendipity. She believes strongly that you learn at every step of the developing process, even from failures. She will share her experience with failure, being a woman in the digital and artificial intelligence space, her best advice for facing fear and her take on women educating themselves.

Minter Dialogue Episode #339Rana Gujral is an entrepreneur, speaker, investor and the CEO of Behavioral Signals, an enterprise software company that delivers a robust and fast-evolving emotion AI engine that introduces emotional intelligence into speech recognition technology. Rana has been awarded the ‘Entrepreneur of the Month’ by CIO Magazine, the ‘US China Pioneer’ Award by IEIE. He was also recently listed in Inc. Magazine as an “AI Entrepreneur to Watch”. In this stimulating conversation with Rana, we look at how he and his team at Behavioral Signals break down emotions via voice, what are the next avenues of development in voice and speech detection, and how so much can be revealed via voice.If you've got comments or questions you'd like to see answered, send your email or audio file to nminterdial@gmail.com; or you can find the show notes and comment on minterdial.com. If you liked the podcast, please take a moment to go over to iTunes or your favourite podcast channel, to rate/review the show. Otherwise, you can find me @mdial on Twitter. Support the show (https://www.patreon.com/minterdial)

Episode description:Rana Gujral is the CEO of Behavioral Signals, a company that allows developers to add speech emotion and behavioral recognition AI to their products. We discuss the many reasons why it's important that machines can recognise and express human emotion, including improving human computer interaction and boosting business KPIs. We discover why voice is the best modality for analysing emotion, then highlight some of the many business and consumer use-cases for this technology. Finally we dive into the signal processing pipeline that makes it all work, and Rana shares his advice for working with this technology.This is one of my favourite conversations of the year so far. It's a topic close to my heart, having previously worked on voice emotion transformation in the lab, and I feel it's one of the most important technologies to close the gap between humans and machines. Rana is also a very articulate and inspirational speaker, which makes this an unmissable conversation. This is a time-limited preview. To hear the full episode, and access the full catalogue of episodes and bonus content, become a Voice Tech Pro https://voicetechpodcast.com/proHighlights from the show:Available at http://bit.ly/voicetechpodcast-ep035Links from the show:Georgian Partners Impact Podcast https://voicetechpodcast.com/impactpodcast Manning books: https://www.manning.com 40% off all books code: podvoicetech19 Behavioral Signals http://bit.ly/30dcBUlBehavioral Signals Emotional Analytics http://bit.ly/30gw7ziHealthcare Demo Video http://bit.ly/30fiXTfQuentin Furhatino project http://bit.ly/30e9OdKQuentin Furhatino Demo http://bit.ly/30fiLmZTwitter @behaviorsignals Rana Gujral in Inc mag http://bit.ly/30gDLtIHeart of the Machine - Richard Yonck https://amzn.to/30gwh9SCallminer http://bit.ly/30cyG5uTwilio http://bit.ly/30cyovqSubscribe to get future episodes:Apple iTunes: https://apple.co/2LqW4olGoogle Podcasts: http://bit.ly/voicetechpodcast-googleSpotify: https://spoti.fi/2IZr5hmJoin the discussion:Weekly Newsletter: https://voicetechpodcast.com/newsletterMedium Blog: https://voicetechpodcast.com/mediumWrite for Blog: https://voicetechpodcast.com/publishEmail: carl@voicetechpodcast.comTwitter: http://bit.ly/voicetechpodcast-twitterReddit: http://bit.ly/voicetechpodcast-redditFacebook Group: http://bit.ly/voicetechpodcast-facebook-groupFacebook Page: http://bit.ly/voicetechpodcast-facebook-pageSupport the show (https://patreon.com/voicetechpodcast)

Artificial Intelligence and Emotional Intelligence are two of the current buzzwords anywhere. Technology is unstoppable, and people keep on getting better in utilizing it to provide products and services that make entrepreneurs’ daily operations manageable. Rana Gujral, the CEO of Behavioral Signals, built an enterprise software company that delivers a robust and fast evolving emotion […]

Artificial Intelligence and Emotional Intelligence are two of the current buzzwords anywhere. Technology is unstoppable, and people keep on getting better in utilizing it to provide products and services that make entrepreneurs’ daily operations manageable. Rana Gujral, the CEO of Behavioral Signals, built an enterprise software company that delivers a robust and fast evolving emotion AI engine that introduces emotional intelligence into speech recognition technology. Rana walks us through her journey from being a software engineer to building this brilliant software. As she shares three different buckets of capabilities of their product, catch the three core tenets of entrepreneurship and some massive takeaways. Love the show? Subscribe, rate, review, and share! Here’s How » Join our community or connect with us here: AsianWomenofPower.com Asian Women of Power Facebook Group Kimchi Chow on Facebook Asian Women of Power Twitter Kimchi Chow on LinkedIn

Rana Gujral, an investor, noted speaker, and CEO of Behavioral Signals, delivers an interesting overview of the current state of AI regarding communication and user experience.  Gujral has a proven track record in enterprise software, business building, and strategy, as well as emerging markets. Gujral's successful past accomplishments include his tenure as founder and CEO of TiZE Inc., a groundbreaking SaaS platform. Gujral was an essential member of the team for Cricut Inc. where he worked to build an innovative product for their DIY community which brought them to profitability within just 2 years. And earlier, Gujral held leadership positions with Logitech S.A. and Kronos Inc. Gujral discusses the AI that they are developing which, remarkably, understands the emotional context of what we speak. Gujral and his predecessors have long pondered the question: can you truly have artificial intelligence machines without emotions? Gujral states that this emotional element is a critical piece of voice interactions. With voice recognition accuracy now reaching its necessary apex, emotion and interaction is the next great frontier. Communicating intent is crucial. It's not just what is being said, but how someone is saying it; context and emotion are the missing links that Gujral's company is innovatively bringing into the mix. Gujral states that we gather more emotional context from hearing someone speak, much more than viewing facial expressions even.  The technology expert and entrepreneur talks about various business use cases and how technology is enhancing our communication. He explains how agents can speak with clients and enhance their experience by utilizing the technology, as it provides helpful input that improves communication. For example, the tech can provide input about the call in real time that may provide a range of information from, ‘you need to speak faster,' ‘you sound angry, you should change your tone,' or ‘the client sounds upset,' etc., real-time information that can help improve the communication and thus enhance the experience for all parties involved.  Gujral acknowledges that it is an exciting time for AI in general. AI is here and taking a more prominent role in all business transactions, and successful, forward-thinking companies are integrating AI technologies into their technology stacks, for improved communication, efficiency, and success.

Rana Gujral is an entrepreneur, speaker, investor and the CEO of Behavioral Signals, an enterprise software company that delivers a robust and fast evolving emotion AI engine that introduces emotional intelligence into speech recognition technology. Full Details on www.robofthegreen.ie/episodes

Rana Gujral is an entrepreneur, speaker, investor and the CEO of Behavioral Signals, an enterprise software company that delivers a robust and fast evolving emotion AI engine that introduces emotional intelligence into speech recognition technology. Full Details on www.robofthegreen.ie/episodes

Rana Gujral didn't take the typical path into the life of Entrepreneurship. Instead of taking the 'safe' path in business, he took a leap into the unknown. As he took this new journey into entrepreneurship he had to embrace the discomfort. Now he is leading the charge to redefine how AI is using EQ (Emotional Intelligence) to redefine Emotion AI.'Don't play it safe, It's not worth the risk' - Rana GujralIn the episode we discuss: AI, Robotics, Entrepreneurship, Robotics, Risk, and more.Recommended Reading: The Goal and Ego is the EnemyLinksRana Gujral WebsiteBehavioral SignalsjumbleThinkAbout Rana GujralRana Gujral is an entrepreneur, speaker, investor and the CEO of Behavioral Signals, an enterprise software company that delivers a robust and fast evolving emotion AI engine that introduces emotional intelligence into speech recognition technology. Rana has been awarded the ‘Entrepreneur of the Month’ by CIO Magazine and the ‘US China Pioneer’ Award by IEIE, he has been listed among Top 10 Entrepreneurs to follow in 2017 by Huffington Post. He has been a featured speaker at the World Government Summit in Dubai, the Silicon Valley Smart Future Summit, and IEIE in New York. He is a contributing columnist for TechCrunch and Forbes.

Nassos Katsamanis, researcher at the ILSP Lap for the Athena Research Centre, and VP of Engineering for the Behavioral Signals startup, discusses the origins of the team and their research. He explains how the US based startup is using speech data, AI and deep learniing for behavioral modeling, in real time, and how their findings can be used by companies who produce large quantities of speech data. Interviewed by Vicki Kolovou for Tech Talks Central.